From dd6aa2ea2e81070389439fa5f4ecf3947da5ded1 Mon Sep 17 00:00:00 2001 From: Matias Mattamala Date: Tue, 9 Apr 2024 17:32:46 +0100 Subject: [PATCH 1/6] Ongoing fixes to visualize world in RViz --- wild_visual_navigation_jackal/CMakeLists.txt | 9 +- .../Media/models/OliveTree1.dae | 4065 ---------------- .../Media/models/OliveTree2.dae | 4263 ----------------- .../Media/models/PineTree.dae | 1250 ----- .../Media/models/outdoor.dae | 121 + .../Media/models/scenario.dae | 131 - .../Media/models/terrain_texture.jpg | Bin 0 -> 502854 bytes .../textures/Vegetation_Grass1 (copy).jpg | Bin 13259 -> 0 bytes .../models/textures/Vegetation_Grass1.jpg | Bin 26150 -> 0 bytes .../Media/models/textures/mtt.png | Bin 492293 -> 0 bytes .../Media/models/textures/texture0.jpg | Bin 800 -> 0 bytes .../Media/models/textures/texture0.png | Bin 13096 -> 0 bytes .../config/rviz/open_source.rviz | 29 +- .../launch/sim.launch | 3 + .../scripts/gazebo_world_publisher.py | 46 + .../worlds/outdoor.world | 315 +- .../worlds/scenario.world | 282 -- 17 files changed, 214 insertions(+), 10300 deletions(-) delete mode 100644 wild_visual_navigation_jackal/Media/models/OliveTree1.dae delete mode 100644 wild_visual_navigation_jackal/Media/models/OliveTree2.dae delete mode 100644 wild_visual_navigation_jackal/Media/models/PineTree.dae create mode 100644 wild_visual_navigation_jackal/Media/models/outdoor.dae delete mode 100644 wild_visual_navigation_jackal/Media/models/scenario.dae create mode 100644 wild_visual_navigation_jackal/Media/models/terrain_texture.jpg delete mode 100644 wild_visual_navigation_jackal/Media/models/textures/Vegetation_Grass1 (copy).jpg delete mode 100644 wild_visual_navigation_jackal/Media/models/textures/Vegetation_Grass1.jpg delete mode 100644 wild_visual_navigation_jackal/Media/models/textures/mtt.png delete mode 100644 wild_visual_navigation_jackal/Media/models/textures/texture0.jpg delete mode 100644 wild_visual_navigation_jackal/Media/models/textures/texture0.png create mode 100644 wild_visual_navigation_jackal/scripts/gazebo_world_publisher.py delete mode 100644 wild_visual_navigation_jackal/worlds/scenario.world diff --git a/wild_visual_navigation_jackal/CMakeLists.txt b/wild_visual_navigation_jackal/CMakeLists.txt index b3d3d189..b303635d 100644 --- a/wild_visual_navigation_jackal/CMakeLists.txt +++ b/wild_visual_navigation_jackal/CMakeLists.txt @@ -13,14 +13,6 @@ catkin_package( CATKIN_DEPENDS ) -# catkin_python_setup() -# catkin_install_python(PROGRAMS scripts/wvn_feature_extractor_node.py -# scripts/wvn_learning_node.py -# scripts/overlay_images.py -# scripts/smart_carrot.py -# scripts/rosbag_play.sh -# DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}) - message(${CATKIN_PACKAGE_SHARE_DESTINATION}) install(DIRECTORY launch Media worlds DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION} @@ -30,4 +22,5 @@ install(DIRECTORY launch Media worlds ## Python ## ############ catkin_install_python(PROGRAMS scripts/jackal_state_converter_node.py + scripts/gazebo_world_publisher.py DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}) \ No newline at end of file diff --git a/wild_visual_navigation_jackal/Media/models/OliveTree1.dae b/wild_visual_navigation_jackal/Media/models/OliveTree1.dae deleted file mode 100644 index 6583bc3e..00000000 --- a/wild_visual_navigation_jackal/Media/models/OliveTree1.dae +++ /dev/null @@ -1,4065 +0,0 @@ - - - - - Google SketchUp 7.0.8657 - - 2010-03-16T17:45:56Z - 2010-03-16T17:45:56Z - - Z_UP - - - - textures/texture0.jpg - - - textures/texture0.png - - - - - - - - - - - - - - - - material_0_1_0-image - - - - - material_0_1_0-image-surface - - - - - - 0.000000 0.000000 0.000000 1 - - - 0.000000 0.000000 0.000000 1 - - - - - - 1 1 1 1 - - - 0.050000 - - - - - - 1 - - - - - - - - - material_1_2_0-image - - - - - material_1_2_0-image-surface - - - - - - 0.000000 0.000000 0.000000 1 - - - 0.000000 0.000000 0.000000 1 - - - - - - 1 1 1 1 - - - 0.010000 - - - - - - 1 - - - - - - - - - - 60.510791 32.918764 68.437903 61.241531 44.984435 54.582557 60.592489 45.240710 55.022876 60.646860 44.968439 54.000801 - - - - - - - - - - -0.402852 -0.768615 -0.496932 0.998781 -0.041493 -0.026754 -0.422988 0.441994 0.791026 -0.402852 -0.768615 -0.496932 -0.382975 -0.490402 -0.782838 -0.402852 -0.768615 -0.496932 - - - - - - - - - - -39.720115 12.765230 -1.736267 0.259387 -0.035743 0.832450 -31.484872 15.003045 -1.503014 0.031632 -0.114239 0.687616 48.508210 8.992771 0.731048 0.777517 1.064867 -0.011546 - - - - - - - - - - - - - - -

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540 65.29227 630 540 65.29227 390 1080 34.58751 390 1080 34.58751 420 1080 36.24129 420 1080 36.24129 450 1080 37.78464 450 1080 37.78464 480 1080 39.18586 480 1080 39.18586 510 1080 40.42933 510 1080 40.42933 540 1080 41.54302 540 1080 41.54302 570 1080 42.99007 570 1080 42.99007 600 1080 44.5968 600 1080 44.5968 630 1080 45.92739 630 1080 45.92739 930 780 14.5222 930 780 14.5222 930 750 9.925307 930 750 9.925307 930 720 8.624075 930 720 8.624075 930 690 10.1785 930 690 10.1785 930 660 12.8666 930 660 12.8666 930 630 17.32956 930 630 17.32956 930 600 24.32014 930 600 24.32014 930 570 32.47325 930 570 32.47325 930 540 40.31964 930 540 40.31964 360 810 73.93402 360 810 73.93402 360 840 67.74852 360 840 67.74852 360 870 61.438 360 870 61.438 360 900 55.25235 360 900 55.25235 360 930 49.43547 360 930 49.43547 360 960 44.21582 360 960 44.21582 360 990 39.79754 360 990 39.79754 360 1020 36.35253 360 1020 36.35253 360 1050 34.0138 360 1050 34.0138 660 510 68.72731 660 510 68.72731 690 510 73.73335 690 510 73.73335 720 510 79.35773 720 510 79.35773 750 510 83.71361 750 510 83.71361 780 510 85.61195 780 510 85.61195 810 510 84.36841 810 510 84.36841 840 510 79.70435 840 510 79.70435 870 510 71.31782 870 510 71.31782 900 510 60.05747 900 510 60.05747 360 1080 32.87038 360 1080 32.87038 660 1080 46.81678 660 1080 46.81678 690 1050 52.39914 690 1050 52.39914 720 1020 59.03095 720 1020 59.03095 750 990 64.45656 750 990 64.45656 780 960 66.65479 780 960 66.65479 810 930 63.21853 810 930 63.21853 840 900 54.26121 840 900 54.26121 870 870 42.28702 870 870 42.28702 900 840 30.74828 900 840 30.74828 930 810 22.22645 930 810 22.22645 930 510 47.30838 930 510 47.30838 360 780 79.74832 360 780 79.74832 390 750 85.36107 390 750 85.36107 420 720 88.75242 420 720 88.75242 450 690 89.65613 450 690 89.65613 480 660 88.01651 480 660 88.01651 510 630 84.43 510 630 84.43 540 600 79.41033 540 600 79.41033 570 570 73.35648 570 570 73.35648 600 540 67.05487 600 540 67.05487 630 510 65.71806 630 510 65.71806 360 1110 32.96389 360 1110 32.96389 390 1110 34.64759 390 1110 34.64759 420 1110 36.32381 420 1110 36.32381 450 1110 37.92604 450 1110 37.92604 480 1110 39.3905 480 1110 39.3905 510 1110 40.6586 510 1110 40.6586 540 1110 41.67923 540 1110 41.67923 570 1110 42.41076 570 1110 42.41076 600 1110 42.98687 600 1110 42.98687 630 1110 43.48425 630 1110 43.48425 960 780 15.59296 960 780 15.59296 960 750 9.681662 960 750 9.681662 960 720 7.074951 960 720 7.074951 960 690 7.694615 960 690 7.694615 960 660 9.982205 960 660 9.982205 960 630 12.86754 960 630 12.86754 960 600 17.40262 960 600 17.40262 960 570 23.18515 960 570 23.18515 960 540 29.01331 960 540 29.01331 960 510 34.67785 960 510 34.67785 330 810 72.35512 330 810 72.35512 330 840 66.0687 330 840 66.0687 330 870 59.67547 330 870 59.67547 330 900 53.42739 330 900 53.42739 330 930 47.56997 330 930 47.56997 330 960 42.33279 330 960 42.33279 330 990 37.92057 330 990 37.92057 330 1020 34.50526 330 1020 34.50526 330 1050 32.21938 330 1050 32.21938 330 1080 31.1509 330 1080 31.1509 660 480 69.59775 660 480 69.59775 690 480 75.95341 690 480 75.95341 720 480 82.89443 720 480 82.89443 750 480 88.53408 750 480 88.53408 780 480 91.46942 780 480 91.46942 810 480 90.9615 810 480 90.9615 840 480 86.52677 840 480 86.52677 870 480 77.98333 870 480 77.98333 900 480 66.31509 900 480 66.31509 930 480 52.96356 930 480 52.96356 330 1110 31.33935 330 1110 31.33935 660 1110 43.86153 660 1110 43.86153 690 1080 48.00512 690 1080 48.00512 720 1050 54.53784 720 1050 54.53784 750 1020 61.18522 750 1020 61.18522 780 990 66.02974 780 990 66.02974 810 960 66.82817 810 960 66.82817 840 930 62.06958 840 930 62.06958 870 900 52.7591 870 900 52.7591 900 870 41.92797 900 870 41.92797 930 840 32.56268 930 840 32.56268 960 810 24.58672 960 810 24.58672 960 480 39.60774 960 480 39.60774 330 780 78.28617 330 780 78.28617 360 750 84.95863 360 750 84.95863 390 720 89.55929 390 720 89.55929 420 690 91.72763 420 690 91.72763 450 660 91.29311 450 660 91.29311 480 630 88.47875 480 630 88.47875 510 600 83.9954 510 600 83.9954 540 570 78.22076 540 570 78.22076 570 540 71.6077 570 540 71.6077 600 510 65.74013 600 510 65.74013 630 480 65.21977 630 480 65.21977 330 1140 32.23374 330 1140 32.23374 360 1140 33.77435 360 1140 33.77435 390 1140 35.36672 390 1140 35.36672 420 1140 36.94626 420 1140 36.94626 450 1140 38.44857 450 1140 38.44857 480 1140 39.81203 480 1140 39.81203 510 1140 40.98016 510 1140 40.98016 540 1140 41.90391 540 1140 41.90391 570 1140 42.54355 570 1140 42.54355 600 1140 42.87029 600 1140 42.87029 630 1140 42.91062 630 1140 42.91062 990 780 17.82801 990 780 17.82801 990 750 10.69445 990 750 10.69445 990 720 6.804693 990 720 6.804693 990 690 6.152544 990 690 6.152544 990 660 7.835781 990 660 7.835781 990 630 10.08404 990 630 10.08404 990 600 12.48875 990 600 12.48875 990 570 15.7144 990 570 15.7144 990 540 19.46885 990 540 19.46885 990 510 23.76349 990 510 23.76349 990 480 27.92428 990 480 27.92428 300 810 70.06299 300 810 70.06299 300 840 63.76248 300 840 63.76248 300 870 57.37818 300 870 57.37818 300 900 51.16201 300 900 51.16201 300 930 45.359 300 930 45.359 300 960 40.19776 300 960 40.19776 300 990 35.88166 300 990 35.88166 300 1020 32.58087 300 1020 32.58087 300 1050 30.42574 300 1050 30.42574 300 1080 29.50173 300 1080 29.50173 300 1110 29.83815 300 1110 29.83815 660 450 68.48664 660 450 68.48664 690 450 75.63672 690 450 75.63672 720 450 83.3451 720 450 83.3451 750 450 89.92067 750 450 89.92067 780 450 93.70007 780 450 93.70007 810 450 93.9145 810 450 93.9145 840 450 89.76984 840 450 89.76984 870 450 81.40951 870 450 81.40951 900 450 69.83741 900 450 69.83741 930 450 56.50795 930 450 56.50795 960 450 43.11915 960 450 43.11915 300 1140 30.8072 300 1140 30.8072 660 1140 42.91062 660 1140 42.91062 690 1110 45.08063 690 1110 45.08063 720 1080 50.73693 720 1080 50.73693 750 1050 57.81658 750 1050 57.81658 780 1020 64.26923 780 1020 64.26923 810 990 68.4953 810 990 68.4953 840 960 68.19495 840 960 68.19495 870 930 62.66437 870 930 62.66437 900 900 53.91066 900 900 53.91066 930 870 44.80638 930 870 44.80638 960 840 36.16482 960 840 36.16482 990 810 27.95096 990 810 27.95096 990 450 31.36964 990 450 31.36964 300 780 76.0307 300 780 76.0307 330 750 83.62625 330 750 83.62625 360 720 89.35453 360 720 89.35453 390 690 92.7682 390 690 92.7682 420 660 93.59723 420 660 93.59723 450 630 91.80338 450 630 91.80338 480 600 88.01651 480 600 88.01651 510 570 82.70958 510 570 82.70958 540 540 76.29463 540 540 76.29463 570 510 69.26947 570 510 69.26947 600 480 63.94483 600 480 63.94483 630 450 63.31864 630 450 63.31864 300 1170 31.98293 300 1170 31.98293 330 1170 33.31662 330 1170 33.31662 360 1170 34.75286 360 1170 34.75286 390 1170 36.23173 390 1170 36.23173 420 1170 37.69119 420 1170 37.69119 450 1170 39.06951 450 1170 39.06951 480 1170 40.30775 480 1170 40.30775 510 1170 41.35211 510 1170 41.35211 540 1170 42.15609 540 1170 42.15609 570 1170 42.68236 570 1170 42.68236 600 1170 42.90428 600 1170 42.90428 630 1170 42.91062 630 1170 42.91062 1020 780 20.70066 1020 780 20.70066 1020 750 12.47489 1020 750 12.47489 1020 720 7.375809 1020 720 7.375809 1020 690 5.445051 1020 690 5.445051 1020 660 6.230351 1020 660 6.230351 1020 630 7.782293 1020 630 7.782293 1020 600 9.460534 1020 600 9.460534 1020 570 10.93704 1020 570 10.93704 1020 540 12.91595 1020 540 12.91595 1020 510 15.92204 1020 510 15.92204 1020 480 19.34747 1020 480 19.34747 1020 450 22.7155 1020 450 22.7155 270 810 67.15836 270 810 67.15836 270 840 60.93082 270 840 60.93082 270 870 54.64669 270 870 54.64669 270 900 48.55575 270 900 48.55575 270 930 42.90044 270 930 42.90044 270 960 37.9064 270 960 37.9064 270 990 33.77366 270 990 33.77366 270 1020 30.66885 270 1020 30.66885 270 1050 28.71854 270 1050 28.71854 270 1080 28.0043 270 1080 28.0043 270 1110 28.51954 270 1110 28.51954 270 1140 29.55228 270 1140 29.55228 660 420 65.15848 660 420 65.15848 690 420 72.48213 690 420 72.48213 720 420 80.40982 720 420 80.40982 750 420 87.4587 750 420 87.4587 780 420 91.92159 780 420 91.92159 810 420 92.73139 810 420 92.73139 840 420 89.0367 840 420 89.0367 870 420 81.2103 870 420 81.2103 900 420 70.25376 900 420 70.25376 930 420 57.59272 930 420 57.59272 960 420 44.8905 960 420 44.8905 990 420 33.80872 990 420 33.80872 270 1170 30.8072 270 1170 30.8072 660 1170 42.91062 660 1170 42.91062 690 1140 44.05533 690 1140 44.05533 720 1110 48.23812 720 1110 48.23812 750 1080 54.99628 750 1080 54.99628 780 1050 62.35217 780 1050 62.35217 810 1020 68.57125 810 1020 68.57125 840 990 72.21984 840 990 72.21984 870 960 71.16364 870 960 71.16364 900 930 65.64694 900 930 65.64694 930 900 58.04881 930 900 58.04881 960 870 49.58645 960 870 49.58645 990 840 40.54727 990 840 40.54727 1020 810 31.76783 1020 810 31.76783 1020 420 25.76762 1020 420 25.76762 270 780 73.08181 270 780 73.08181 300 750 81.42907 300 750 81.42907 330 720 88.16192 330 720 88.16192 360 690 92.75629 360 690 92.75629 390 660 94.84954 390 660 94.84954 420 630 94.26993 420 630 94.26993 450 600 91.31878 450 600 91.31878 480 570 86.6485 480 570 86.6485 510 540 80.62571 510 540 80.62571 540 510 73.71424 540 510 73.71424 570 480 66.44639 570 480 66.44639 600 450 61.30073 600 450 61.30073 630 420 59.84544 630 420 59.84544 270 1200 32.23374 270 1200 32.23374 300 1200 33.31662 300 1200 33.31662 330 1200 34.54146 330 1200 34.54146 360 1200 35.85542 360 1200 35.85542 390 1200 37.20139 390 1200 37.20139 420 1200 38.52036 420 1200 38.52036 450 1200 39.75377 450 1200 39.75377 480 1200 40.84588 480 1200 40.84588 510 1200 41.74603 510 1200 41.74603 540 1200 42.41076 540 1200 42.41076 570 1200 42.80555 570 1200 42.80555 600 1200 42.91062 600 1200 42.91062 630 1200 42.91062 630 1200 42.91062 1050 780 23.61371 1050 780 23.61371 1050 750 14.46178 1050 750 14.46178 1050 720 8.27981 1050 720 8.27981 1050 690 5.158763 1050 690 5.158763 1050 660 4.900972 1050 660 4.900972 1050 630 5.689189 1050 630 5.689189 1050 600 6.647724 1050 600 6.647724 1050 570 7.772603 1050 570 7.772603 1050 540 9.554898 1050 540 9.554898 1050 510 11.94859 1050 510 11.94859 1050 480 14.85725 1050 480 14.85725 1050 450 18.1637 1050 450 18.1637 1050 420 21.73452 1050 420 21.73452 240 810 63.76751 240 810 63.76751 240 840 57.6982 240 840 57.6982 240 870 51.60288 240 870 51.60288 240 900 45.72719 240 900 45.72719 240 930 40.3089 240 930 40.3089 240 960 35.56866 240 960 35.56866 240 990 31.70133 240 990 31.70133 240 1020 28.86828 240 1020 28.86828 240 1050 27.19084 240 1050 27.19084 240 1080 26.74534 240 1080 26.74534 240 1110 27.43555 240 1110 27.43555 240 1140 28.51954 240 1140 28.51954 240 1170 29.83815 240 1170 29.83815 660 390 59.95279 660 390 59.95279 690 390 66.84312 690 390 66.84312 720 390 74.4528 720 390 74.4528 750 390 81.41394 750 390 81.41394 780 390 86.316 780 390 86.316 810 390 87.51821 810 390 87.51821 840 390 84.48605 840 390 84.48605 870 390 77.57743 870 390 77.57743 900 390 67.7269 900 390 67.7269 930 390 56.3418 930 390 56.3418 960 390 45.00275 960 390 45.00275 990 390 35.27752 990 390 35.27752 1020 390 28.49504 1020 390 28.49504 240 1200 31.33935 240 1200 31.33935 660 1200 42.91062 660 1200 42.91062 690 1170 43.9806 690 1170 43.9806 720 1140 47.44552 720 1140 47.44552 750 1110 53.27648 750 1110 53.27648 780 1080 60.83369 780 1080 60.83369 810 1050 68.338 810 1050 68.338 840 1020 74.40621 840 1020 74.40621 870 990 77.68336 870 990 77.68336 900 960 76.22981 900 960 76.22981 930 930 71.28427 930 930 71.28427 960 900 63.9323 960 900 63.9323 990 870 54.87149 990 870 54.87149 1020 840 45.14836 1020 840 45.14836 1050 810 35.42167 1050 810 35.42167 1050 390 25.42533 1050 390 25.42533 240 780 69.56688 240 780 69.56688 270 750 78.46563 270 750 78.46563 300 720 86.04328 300 720 86.04328 330 690 91.71017 330 690 91.71017 360 660 95.02192 360 660 95.02192 390 630 95.70617 390 630 95.70617 420 600 93.77491 420 600 93.77491 450 570 89.88439 450 570 89.88439 480 540 84.43 480 540 84.43 510 510 77.82991 510 510 77.82991 540 480 70.59006 540 480 70.59006 570 450 63.15011 570 450 63.15011 600 420 57.69396 600 420 57.69396 630 390 55.11619 630 390 55.11619 1080 780 25.98549 1080 780 25.98549 1080 750 16.10557 1080 750 16.10557 1080 720 9.017711 1080 720 9.017711 1080 690 4.861352 1080 690 4.861352 1080 660 3.5771 1080 660 3.5771 1080 630 3.605434 1080 630 3.605434 1080 600 4.020609 1080 600 4.020609 1080 570 5.172964 1080 570 5.172964 1080 540 7.042416 1080 540 7.042416 1080 510 9.554898 1080 510 9.554898 1080 480 12.61118 1080 480 12.61118 1080 450 16.09067 1080 450 16.09067 1080 420 19.85604 1080 420 19.85604 1080 390 23.75852 1080 390 23.75852 210 810 60.03718 210 810 60.03718 210 840 54.20751 210 840 54.20751 210 870 48.38496 210 870 48.38496 210 900 42.80904 210 900 42.80904 210 930 37.71089 210 930 37.71089 210 960 33.30422 210 960 33.30422 210 990 29.7769 210 990 29.7769 210 1020 27.28358 210 1020 27.28358 210 1050 25.93903 210 1050 25.93903 210 1080 25.81303 210 1080 25.81303 210 1110 26.62899 210 1110 26.62899 210 1140 27.75058 210 1140 27.75058 210 1170 29.11586 210 1170 29.11586 210 1200 30.67173 210 1200 30.67173 660 360 53.59819 660 360 53.59819 690 360 59.53424 690 360 59.53424 720 360 66.35981 720 360 66.35981 750 360 72.81788 750 360 72.81788 780 360 77.58941 780 360 77.58941 810 360 79.05938 810 360 79.05938 840 360 76.80065 840 360 76.80065 870 360 71.13463 870 360 71.13463 900 360 62.8961 900 360 62.8961 930 360 53.31695 930 360 53.31695 960 360 43.90894 960 360 43.90894 990 360 36.11303 990 360 36.11303 1020 360 31.11776 1020 360 31.11776 1050 360 29.08639 1050 360 29.08639 690 1200 43.77228 690 1200 43.77228 720 1170 47.2872 720 1170 47.2872 750 1140 52.95104 750 1140 52.95104 780 1110 60.18205 780 1110 60.18205 810 1080 68.34431 810 1080 68.34431 840 1050 75.97388 840 1050 75.97388 870 1020 82.023 870 1020 82.023 900 990 84.98143 900 990 84.98143 930 960 83.51103 930 960 83.51103 960 930 78.19131 960 930 78.19131 990 900 70.01068 990 900 70.01068 1020 870 60.10287 1020 870 60.10287 1050 840 49.35154 1050 840 49.35154 1080 810 38.31818 1080 810 38.31818 1080 360 27.64367 1080 360 27.64367 210 780 65.63558 210 780 65.63558 240 750 74.86365 240 750 74.86365 270 720 83.09535 270 720 83.09535 300 690 89.6884 300 690 89.6884 330 660 94.12519 330 660 94.12519 360 630 96.05278 360 630 96.05278 390 600 95.28977 390 600 95.28977 420 570 92.29127 420 570 92.29127 450 540 87.5574 450 540 87.5574 480 510 81.45046 480 510 81.45046 510 480 74.43785 510 480 74.43785 540 450 66.96341 540 450 66.96341 570 420 59.39901 570 420 59.39901 600 390 53.41372 600 390 53.41372 630 360 49.76463 630 360 49.76463 1110 780 27.3351 1110 780 27.3351 1110 750 16.9518 1110 750 16.9518 1110 720 9.179739 1110 720 9.179739 1110 690 4.203458 1110 690 4.203458 1110 660 2.047406 1110 660 2.047406 1110 630 1.644623 1110 630 1.644623 1110 600 2.047406 1110 600 2.047406 1110 570 3.23933 1110 570 3.23933 1110 540 5.172964 1110 540 5.172964 1110 510 7.772603 1110 510 7.772603 1110 480 10.93704 1110 480 10.93704 1110 450 14.54326 1110 450 14.54326 1110 420 18.45111 1110 420 18.45111 1110 390 22.50866 1110 390 22.50866 1110 360 26.55803 1110 360 26.55803 180 810 56.12859 180 810 56.12859 180 840 50.61422 180 840 50.61422 180 870 45.14175 180 870 45.14175 180 900 39.94266 180 900 39.94266 180 930 35.23957 180 930 35.23957 180 960 31.23744 180 960 31.23744 180 990 28.11534 180 990 28.11534 180 1020 26.01983 180 1020 26.01983 180 1050 25.05854 180 1050 25.05854 180 1080 25.28049 180 1080 25.28049 180 1110 26.13181 180 1110 26.13181 180 1140 27.27642 180 1140 27.27642 180 1170 28.67018 180 1170 28.67018 180 1200 30.25942 180 1200 30.25942 660 330 47.10303 660 330 47.10303 690 330 51.70267 690 330 51.70267 720 330 57.39434 720 330 57.39434 750 330 62.98643 750 330 62.98643 780 330 67.01031 780 330 67.01031 810 330 68.62599 810 330 68.62599 840 330 67.21588 840 330 67.21588 870 330 62.99195 870 330 62.99195 900 330 56.68956 900 330 56.68956 930 330 49.38576 930 330 49.38576 960 330 42.33849 960 330 42.33849 990 330 36.87064 990 330 36.87064 1020 330 34.00767 1020 330 34.00767 1050 330 32.56846 1050 330 32.56846 1080 330 31.35733 1080 330 31.35733 720 1200 46.83077 720 1200 46.83077 750 1170 52.70285 750 1170 52.70285 780 1140 60.36053 780 1140 60.36053 810 1110 68.94959 810 1110 68.94959 840 1080 77.60854 840 1080 77.60854 870 1050 85.38519 870 1050 85.38519 900 1020 91.49625 900 1020 91.49625 930 990 93.83227 930 990 93.83227 960 960 91.35965 960 960 91.35965 990 930 84.9683 990 930 84.9683 1020 900 75.73964 1020 900 75.73964 1050 870 64.6794 1050 870 64.6794 1080 840 52.56901 1080 840 52.56901 1110 810 39.96919 1110 810 39.96919 1110 330 30.44153 1110 330 30.44153 180 780 61.45378 180 780 61.45378 210 750 70.77471 210 750 70.77471 240 720 79.44542 240 720 79.44542 270 690 86.7858 270 690 86.7858 300 660 92.21641 300 660 92.21641 330 630 95.30262 330 630 95.30262 360 600 95.78096 360 600 95.78096 390 570 93.77491 390 570 93.77491 420 540 89.88439 420 540 89.88439 450 510 84.44534 450 510 84.44534 480 480 77.85726 480 480 77.85726 510 450 70.54434 510 450 70.54434 540 420 62.84293 540 420 62.84293 570 390 55.36224 570 390 55.36224 600 360 48.99586 600 360 48.99586 630 330 44.64707 630 330 44.64707 1140 780 27.35395 1140 780 27.35395 1140 750 16.714 1140 750 16.714 1140 720 8.555513 1140 720 8.555513 1140 690 3.192118 1140 690 3.192118 1140 660 0.8304025 1140 660 0.8304025 1140 630 0.418504 1140 630 0.418504 1140 600 0.8304025 1140 600 0.8304025 1140 570 2.047406 1140 570 2.047406 1140 540 4.020609 1140 540 4.020609 1140 510 6.673576 1140 510 6.673576 1140 480 9.904043 1140 480 9.904043 1140 450 13.58759 1140 450 13.58759 1140 420 17.58236 1140 420 17.58236 1140 390 21.73452 1140 390 21.73452 1140 360 25.88412 1140 360 25.88412 1140 330 29.87131 1140 330 29.87131 150 810 52.21092 150 810 52.21092 150 840 47.08007 150 840 47.08007 150 870 42.02653 150 870 42.02653 150 900 37.27202 150 900 37.27202 150 930 33.02898 150 930 33.02898 150 960 29.49198 150 960 29.49198 150 990 26.82968 150 990 26.82968 150 1020 25.17794 150 1020 25.17794 150 1050 24.6398 150 1050 24.6398 150 1080 25.10671 150 1080 25.10671 150 1110 25.96384 150 1110 25.96384 150 1140 27.1162 150 1140 27.1162 150 1170 28.51954 150 1170 28.51954 150 1200 30.11999 150 1200 30.11999 660 300 41.59899 660 300 41.59899 690 300 44.65469 690 300 44.65469 720 300 48.96977 720 300 48.96977 750 300 53.18696 750 300 53.18696 780 300 56.32395 780 300 56.32395 810 300 61.76778 810 300 61.76778 840 300 67.34968 840 300 67.34968 870 300 58.53529 870 300 58.53529 900 300 50.339 900 300 50.339 930 300 45.52262 930 300 45.52262 960 300 41.13489 960 300 41.13489 990 300 38.19938 990 300 38.19938 1020 300 36.87767 1020 300 36.87767 1050 300 36.13717 1050 300 36.13717 1080 300 36.17876 1080 300 36.17876 1110 300 36.37339 1110 300 36.37339 750 1200 51.97951 750 1200 51.97951 780 1170 60.01786 780 1170 60.01786 810 1140 69.38953 810 1140 69.38953 840 1110 79.15337 840 1110 79.15337 870 1080 88.3626 870 1080 88.3626 900 1050 96.14384 900 1050 96.14384 930 1020 101.5463 930 1020 101.5463 960 990 102.5394 960 990 102.5394 990 960 98.75945 990 960 98.75945 1020 930 91.094 1020 930 91.094 1050 900 80.547 1050 900 80.547 1080 870 68.03724 1080 870 68.03724 1110 840 54.32405 1110 840 54.32405 1140 810 40.06649 1140 810 40.06649 1140 300 36.27911 1140 300 36.27911 150 780 57.19703 150 780 57.19703 180 750 66.36828 180 750 66.36828 210 720 75.24601 210 720 75.24601 240 690 83.12838 240 690 83.12838 270 660 89.38832 270 660 89.38832 300 630 93.52175 300 630 93.52175 330 600 95.18471 330 600 95.18471 360 570 94.32818 360 570 94.32818 390 540 91.54913 390 540 91.54913 420 510 87.07115 420 510 87.07115 450 480 81.16715 450 480 81.16715 480 450 74.22768 480 450 74.22768 510 420 66.52198 510 420 66.52198 540 390 58.63514 540 390 58.63514 570 360 51.27459 570 360 51.27459 600 330 45.13308 600 330 45.13308 630 300 40.7051 630 300 40.7051 1170 780 26.66214 1170 780 26.66214 1170 750 16.09446 1170 750 16.09446 1170 720 8.007869 1170 720 8.007869 1170 690 2.7146 1170 690 2.7146 1170 660 0.418504 1170 660 0.418504 1170 630 0 1170 630 0 1170 600 0.418504 1170 600 0.418504 1170 570 1.644623 1170 570 1.644623 1170 540 3.631286 1170 540 3.631286 1170 510 6.302224 1170 510 6.302224 1170 480 9.554898 1170 480 9.554898 1170 450 13.26443 1170 450 13.26443 1170 420 17.28842 1170 420 17.28842 1170 390 21.47238 1170 390 21.47238 1170 360 25.65568 1170 360 25.65568 1170 330 29.67773 1170 330 29.67773 1170 300 35.74983 1170 300 35.74983 120 810 48.45451 120 810 48.45451 120 840 43.7664 120 840 43.7664 120 870 39.19061 120 870 39.19061 120 900 34.93757 120 900 34.93757 120 930 31.20806 120 930 31.20806 120 960 28.18492 120 960 28.18492 120 990 26.02551 120 990 26.02551 120 1020 24.85556 120 1020 24.85556 120 1050 24.75542 120 1050 24.75542 120 1080 25.28049 120 1080 25.28049 120 1110 26.13181 120 1110 26.13181 120 1140 27.27642 120 1140 27.27642 120 1170 28.67018 120 1170 28.67018 120 1200 30.25942 120 1200 30.25942 660 270 38.16046 660 270 38.16046 690 270 39.6142 690 270 39.6142 720 270 42.14758 720 270 42.14758 750 270 44.88641 750 270 44.88641 780 270 47.11303 780 270 47.11303 810 270 58.46037 810 270 58.46037 840 270 68.60725 840 270 68.60725 870 270 57.30749 870 270 57.30749 900 270 45.091 900 270 45.091 930 270 42.7759 930 270 42.7759 960 270 41.0525 960 270 41.0525 990 270 40.3067 990 270 40.3067 1020 270 41.00982 1020 270 41.00982 1050 270 42.96388 1050 270 42.96388 1080 270 45.19611 1080 270 45.19611 1110 270 46.83496 1110 270 46.83496 1140 270 47.28645 1140 270 47.28645 780 1200 59.01376 780 1200 59.01376 810 1170 68.94959 810 1170 68.94959 840 1140 79.69141 840 1140 79.69141 870 1110 90.23573 870 1110 90.23573 900 1080 99.61783 900 1080 99.61783 930 1050 106.9908 930 1050 106.9908 960 1020 111.0674 960 1020 111.0674 990 990 110.5053 990 990 110.5053 1020 960 105.2182 1020 960 105.2182 1050 930 96.03559 1050 930 96.03559 1080 900 83.90737 1080 900 83.90737 1110 870 69.72792 1110 870 69.72792 1140 840 54.36315 1140 840 54.36315 1170 810 39.3034 1170 810 39.3034 1170 270 46.35043 1170 270 46.35043 120 780 53.04346 120 780 53.04346 150 750 61.82496 150 750 61.82496 180 720 70.66891 180 720 70.66891 210 690 78.86847 210 690 78.86847 240 660 85.76449 240 660 85.76449 270 630 90.79667 270 630 90.79667 300 600 93.6085 300 600 93.6085 330 570 94.17024 330 570 94.17024 360 540 92.6687 360 540 92.6687 390 510 89.3361 390 510 89.3361 420 480 84.35085 420 480 84.35085 450 450 78.04707 450 450 78.04707 480 420 70.65587 480 420 70.65587 510 390 62.64433 510 390 62.64433 540 360 54.70665 540 360 54.70665 570 330 47.56472 570 330 47.56472 600 300 41.91282 600 300 41.91282 630 270 38.32275 630 270 38.32275 1200 780 26.00718 1200 780 26.00718 1200 750 15.74247 1200 750 15.74247 1200 720 7.940756 1200 720 7.940756 1200 690 2.909063 1200 690 2.909063 1200 660 0.8304025 1200 660 0.8304025 1200 630 0.418504 1200 630 0.418504 1200 600 0.8304025 1200 600 0.8304025 1200 570 2.047406 1200 570 2.047406 1200 540 4.020609 1200 540 4.020609 1200 510 6.673576 1200 510 6.673576 1200 480 9.904043 1200 480 9.904043 1200 450 13.58759 1200 450 13.58759 1200 420 17.58236 1200 420 17.58236 1200 390 21.73452 1200 390 21.73452 1200 360 25.88412 1200 360 25.88412 1200 330 29.87131 1200 330 29.87131 1200 300 34.96949 1200 300 34.96949 1200 270 44.26106 1200 270 44.26106 90 810 45.02399 90 810 45.02399 90 840 40.82755 90 840 40.82755 90 870 36.77701 90 870 36.77701 90 900 33.07016 90 900 33.07016 90 930 29.89482 90 930 29.89482 90 960 27.42087 90 960 27.42087 90 990 25.79313 90 990 25.79313 90 1020 25.12501 90 1020 25.12501 90 1050 25.28049 90 1050 25.28049 90 1080 25.79474 90 1080 25.79474 90 1110 26.62899 90 1110 26.62899 90 1140 27.75058 90 1140 27.75058 90 1170 29.11586 90 1170 29.11586 90 1200 30.67173 90 1200 30.67173 660 240 36.79895 660 240 36.79895 690 240 37.17336 690 240 37.17336 720 240 37.97745 720 240 37.97745 750 240 39.33806 750 240 39.33806 780 240 40.71164 780 240 40.71164 810 240 45.69826 810 240 45.69826 840 240 52.28063 840 240 52.28063 870 240 46.128 870 240 46.128 900 240 41.97903 900 240 41.97903 930 240 41.98842 930 240 41.98842 960 240 42.07745 960 240 42.07745 990 240 44.05091 990 240 44.05091 1020 240 48.00231 1020 240 48.00231 1050 240 52.85049 1050 240 52.85049 1080 240 57.40407 1080 240 57.40407 1110 240 60.56305 1110 240 60.56305 1140 240 61.58398 1140 240 61.58398 1170 240 60.21352 1170 240 60.21352 810 1200 67.65635 810 1200 67.65635 840 1170 79.15337 840 1170 79.15337 870 1140 90.87068 870 1140 90.87068 900 1110 101.7696 900 1110 101.7696 930 1080 110.8958 930 1080 110.8958 960 1050 117.4067 960 1050 117.4067 990 1020 119.7263 990 1020 119.7263 1020 990 117.2726 1020 990 117.2726 1050 960 110.2488 1050 960 110.2488 1080 930 99.31663 1080 930 99.31663 1110 900 85.41697 1110 900 85.41697 1140 870 69.69458 1140 870 69.69458 1170 840 53.53117 1170 840 53.53117 1200 810 38.33332 1200 810 38.33332 1200 240 56.73516 1200 240 56.73516 90 780 49.16681 90 780 49.16681 120 750 57.3294 120 750 57.3294 150 720 65.89847 150 720 65.89847 180 690 74.1789 180 690 74.1789 210 660 81.49582 210 660 81.49582 240 630 87.25118 240 630 87.25118 270 600 91.27073 270 600 91.27073 300 570 93.27594 300 570 93.27594 330 540 93.13499 330 540 93.13499 360 510 91.09118 360 510 91.09118 390 480 87.22658 390 480 87.22658 420 450 81.78841 420 450 81.78841 450 420 75.01687 450 420 75.01687 480 390 67.20755 480 390 67.20755 510 360 59.01787 510 360 59.01787 540 330 51.1676 540 330 51.1676 570 300 44.38081 570 300 44.38081 600 270 39.33079 600 270 39.33079 630 240 36.58916 630 240 36.58916 60 810 42.07165 60 810 42.07165 60 840 38.40449 60 840 38.40449 60 870 34.9144 60 870 34.9144 60 900 31.78537 60 900 31.78537 60 930 29.19111 60 930 29.19111 60 960 27.28753 60 960 27.28753 60 990 26.20585 60 990 26.20585 60 1020 25.96384 60 1020 25.96384 60 1050 26.13181 60 1050 26.13181 60 1080 26.62899 60 1080 26.62899 60 1110 27.43555 60 1110 27.43555 60 1140 28.51954 60 1140 28.51954 60 1170 29.83815 60 1170 29.83815 60 1200 31.33935 60 1200 31.33935 660 210 35.58346 660 210 35.58346 690 210 36.00432 690 210 36.00432 720 210 36.56705 720 210 36.56705 750 210 37.24645 750 210 37.24645 780 210 38.01199 780 210 38.01199 810 210 38.82897 810 210 38.82897 840 210 39.66 840 210 39.66 870 210 40.4665 870 210 40.4665 900 210 41.21031 900 210 41.21031 930 210 41.85525 930 210 41.85525 960 210 44.03029 960 210 44.03029 990 210 49.31972 990 210 49.31972 1020 210 56.54349 1020 210 56.54349 1050 210 64.2562 1050 210 64.2562 1080 210 71.08126 1080 210 71.08126 1110 210 75.72177 1110 210 75.72177 1140 210 77.29577 1140 210 77.29577 1170 210 75.5006 1170 210 75.5006 1200 210 70.66523 1200 210 70.66523 840 1200 77.56844 840 1200 77.56844 870 1170 90.23573 870 1170 90.23573 900 1140 102.4982 900 1140 102.4982 930 1110 113.3105 930 1110 113.3105 960 1080 121.7576 960 1080 121.7576 990 1050 126.8843 990 1050 126.8843 1020 1020 127.2207 1020 1020 127.2207 1050 990 122.6534 1050 990 122.6534 1080 960 113.5987 1080 960 113.5987 1110 930 100.8414 1110 930 100.8414 1140 900 85.47166 1140 900 85.47166 1170 870 68.79749 1170 870 68.79749 1200 840 52.24018 1200 840 52.24018 60 780 45.72949 60 780 45.72949 90 750 53.06306 90 750 53.06306 120 720 61.12439 120 720 61.12439 150 690 69.24634 150 690 69.24634 180 660 76.75488 180 660 76.75488 210 630 83.10669 210 630 83.10669 240 600 88.22825 240 600 88.22825 270 570 91.6009 270 570 91.6009 300 540 92.87514 300 540 92.87514 330 510 92.21739 330 510 92.21739 360 480 89.63579 360 480 89.63579 390 450 85.27714 390 450 85.27714 420 420 79.38055 420 420 79.38055 450 390 72.09303 450 390 72.09303 480 360 63.98369 480 360 63.98369 510 330 55.74929 510 330 55.74929 540 300 48.12304 540 300 48.12304 570 270 41.81893 570 270 41.81893 600 240 37.47797 600 240 37.47797 630 210 35.40761 630 210 35.40761 30 810 39.73129 30 810 39.73129 30 840 36.61901 30 840 36.61901 30 870 33.71164 30 870 33.71164 30 900 31.17842 30 900 31.17842 30 930 29.17809 30 930 29.17809 30 960 27.85174 30 960 27.85174 30 990 27.27642 30 990 27.27642 30 1020 27.1162 30 1020 27.1162 30 1050 27.27642 30 1050 27.27642 30 1080 27.75058 30 1080 27.75058 30 1110 28.51954 30 1110 28.51954 30 1140 29.55228 30 1140 29.55228 30 1170 30.8072 30 1170 30.8072 30 1200 32.23374 30 1200 32.23374 660 180 34.41281 660 180 34.41281 690 180 34.87636 690 180 34.87636 720 180 35.49736 720 180 35.49736 750 180 36.24923 750 180 36.24923 780 180 37.09968 780 180 37.09968 810 180 38.01199 810 180 38.01199 840 180 38.94654 840 180 38.94654 870 180 39.86234 870 180 39.86234 900 180 40.71873 900 180 40.71873 930 180 41.88548 930 180 41.88548 960 180 46.6297 960 180 46.6297 990 180 54.83678 990 180 54.83678 1020 180 65.01935 1020 180 65.01935 1050 180 75.35479 1050 180 75.35479 1080 180 84.2164 1080 180 84.2164 1110 180 90.18302 1110 180 90.18302 1140 180 92.25313 1140 180 92.25313 1170 180 90.08118 1170 180 90.08118 1200 180 84.03528 1200 180 84.03528 870 1200 88.3626 870 1200 88.3626 900 1170 101.7696 900 1170 101.7696 930 1140 114.1275 930 1140 114.1275 960 1110 124.4139 960 1110 124.4139 990 1080 131.7811 990 1080 131.7811 1020 1050 135.0937 1020 1050 135.0937 1050 1020 133.2894 1050 1020 133.2894 1080 990 126.5614 1080 990 126.5614 1110 960 115.511 1110 960 115.511 1140 930 101.0881 1140 930 101.0881 1170 900 84.51462 1170 900 84.51462 1200 870 67.1865 1200 870 67.1865 30 780 42.8762 30 780 42.8762 60 750 49.19716 60 750 49.19716 90 720 56.53439 90 720 56.53439 120 690 64.26401 120 690 64.26401 150 660 71.72922 150 660 71.72922 180 630 78.52294 180 630 78.52294 210 600 84.55958 210 600 84.55958 240 570 89.17299 240 570 89.17299 270 540 91.85341 270 540 91.85341 300 510 92.6298 300 510 92.6298 330 480 91.44859 330 480 91.44859 360 450 88.34991 360 450 88.34991 390 420 83.53398 390 420 83.53398 420 390 77.06988 420 390 77.06988 450 360 69.36932 450 360 69.36932 480 330 61.08573 480 330 61.08573 510 300 52.94046 510 300 52.94046 540 270 45.66793 540 270 45.66793 570 240 39.96027 570 240 39.96027 600 210 36.40784 600 210 36.40784 630 180 34.35688 630 180 34.35688 0 810 38.11278 0 810 38.11278 0 840 35.56859 0 840 35.56859 0 870 33.25302 0 870 33.25302 0 900 31.31984 0 900 31.31984 0 930 29.91218 0 930 29.91218 0 960 29.11586 0 960 29.11586 0 990 28.67018 0 990 28.67018 0 1020 28.51954 0 1020 28.51954 0 1050 28.67018 0 1050 28.67018 0 1080 29.11586 0 1080 29.11586 0 1110 29.83815 0 1110 29.83815 0 1140 30.8072 0 1140 30.8072 0 1170 31.98293 0 1170 31.98293 0 1200 33.31662 0 1200 33.31662 660 150 33.33252 660 150 33.33252 690 150 33.83403 690 150 33.83403 720 150 34.50687 720 150 34.50687 750 150 35.32321 750 150 35.32321 780 150 36.24923 780 150 36.24923 810 150 37.24645 810 150 37.24645 840 150 38.27328 840 150 38.27328 870 150 39.28662 870 150 39.28662 900 150 40.24363 900 150 40.24363 930 150 42.53047 930 150 42.53047 960 150 49.33374 960 150 49.33374 990 150 59.7343 990 150 59.7343 1020 150 72.08134 1020 150 72.08134 1050 150 84.41583 1050 150 84.41583 1080 150 94.84523 1080 150 94.84523 1110 150 101.8499 1110 150 101.8499 1140 150 104.3162 1140 150 104.3162 1170 150 101.8499 1170 150 101.8499 1200 150 94.84523 1200 150 94.84523 900 1200 99.61783 900 1200 99.61783 930 1170 113.3105 930 1170 113.3105 960 1140 125.3121 960 1140 125.3121 990 1110 134.6523 990 1110 134.6523 1020 1080 140.562 1020 1080 140.562 1050 1050 141.7554 1050 1050 141.7554 1080 1020 137.7226 1080 1020 137.7226 1110 990 128.8588 1110 990 128.8588 1140 960 115.9439 1140 960 115.9439 1170 930 100.0776 1170 930 100.0776 1200 900 82.59134 1200 900 82.59134 0 780 40.72814 0 780 40.72814 30 750 45.88593 30 750 45.88593 60 720 52.30694 60 720 52.30694 90 690 59.42431 90 690 59.42431 120 660 66.61403 120 660 66.61403 150 630 73.64055 150 630 73.64055 180 600 80.37224 180 600 80.37224 210 570 86.05766 210 570 86.05766 240 540 90.07156 240 540 90.07156 270 510 92.27995 270 510 92.27995 300 480 92.56803 300 480 92.56803 330 450 90.86622 330 450 90.86622 360 420 87.28525 360 420 87.28525 390 390 81.91637 390 390 81.91637 420 360 74.93835 420 360 74.93835 450 330 66.94016 450 330 66.94016 480 300 58.61061 480 300 58.61061 510 270 50.68357 510 270 50.68357 540 240 43.88263 540 240 43.88263 570 210 38.86713 570 210 38.86713 600 180 35.67099 600 180 35.67099 630 150 33.41841 630 150 33.41841 660 120 32.38458 660 120 32.38458 690 120 32.91849 690 120 32.91849 720 120 33.63555 720 120 33.63555 750 120 34.50687 750 120 34.50687 780 120 35.49736 780 120 35.49736 810 120 36.56705 810 120 36.56705 840 120 37.67268 840 120 37.67268 870 120 38.76939 870 120 38.76939 900 120 39.81249 900 120 39.81249 930 120 43.1249 930 120 43.1249 960 120 51.28813 960 120 51.28813 990 120 63.12685 990 120 63.12685 1020 120 76.87728 1020 120 76.87728 1050 120 90.46502 1050 120 90.46502 1080 120 101.8499 1080 120 101.8499 1110 120 109.4538 1110 120 109.4538 1140 120 112.1287 1140 120 112.1287 1170 120 109.4538 1170 120 109.4538 1200 120 101.8499 1200 120 101.8499 930 1200 110.8958 930 1200 110.8958 960 1170 124.4139 960 1170 124.4139 990 1140 135.6228 990 1140 135.6228 1020 1110 143.6314 1020 1110 143.6314 1050 1080 147.7089 1050 1080 147.7089 1080 1050 146.6438 1080 1050 146.6438 1110 1020 140.3686 1110 1020 140.3686 1140 990 129.468 1140 990 129.468 1170 960 114.8874 1170 960 114.8874 1200 930 97.85646 1200 930 97.85646 0 750 43.2607 0 750 43.2607 30 720 48.60439 30 720 48.60439 60 690 54.91134 60 690 54.91134 90 660 61.60469 90 660 61.60469 120 630 68.61723 120 630 68.61723 150 600 75.79828 150 600 75.79828 180 570 82.35069 180 570 82.35069 210 540 87.56795 210 540 87.56795 240 510 91.15672 240 510 91.15672 270 480 92.93274 270 480 92.93274 300 450 92.71711 300 450 92.71711 330 420 90.51166 330 420 90.51166 360 390 86.42767 360 390 86.42767 390 360 80.46108 390 360 80.46108 420 330 73.07167 420 330 73.07167 450 300 64.8958 450 300 64.8958 480 270 56.64594 480 270 56.64594 510 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+
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@@ -101,6 +503,111 @@ + + 0.25 0 0 1.344689 0 0.25 0 5.871227 0 0 0.25 -0.7080482 0 0 0 1 + + + + + + + + + + + + + + + 0.25 0 0 9.72777 0 0.25 0 -2.548708 0 0 0.25 -0.4596367 0 0 0 1 + + + + + + + + + + + + + + + 0.4 0 0 6.105964 0 0.4 0 3.895045 0 0 0.25 -0.5137817 0 0 0 1 + + + + + + + + + + + + + + + 0.25 0 0 -9.226704 0 0.25 0 -0.2310615 0 0 0.25 -0.419471 0 0 0 1 + + + + + + + + + + + + + + + 0.5 0 0 -9.046861 0 0.5 0 5.49972 0 0 0.25 -0.5179946 0 0 0 1 + + + + + + + + + + + + + + + 0.7 0 0 -3.521339 0 0.7 0 4.106574 0 0 0.25 -0.4720868 0 0 0 1 + + + + + + + + + + + + + + + 0.25 0 0 1.372529 0 0.25 0 2.173859 0 0 0.25 -0.7425895 0 0 0 1 + + + + + + + + + + + + + 15 0 0 0 0 15 0 0 0 0 1 7.5 0 0 0 1 diff --git a/wild_visual_navigation_jackal/config/rviz/open_source.rviz b/wild_visual_navigation_jackal/config/rviz/open_source.rviz index 0c7fe4c9..26935db6 100644 --- a/wild_visual_navigation_jackal/config/rviz/open_source.rviz +++ b/wild_visual_navigation_jackal/config/rviz/open_source.rviz @@ -802,22 +802,26 @@ Visualization Manager: Value: false Enabled: true Name: GridMaps - - Alpha: 1 - Axes Length: 1 - Axes Radius: 0.10000000149011612 - Class: rviz/Pose - Color: 255; 25; 0 + - Class: rviz/Group + Displays: + - Alpha: 1 + Axes Length: 1 + Axes Radius: 0.10000000149011612 + Class: rviz/Pose + Color: 245; 121; 0 + Enabled: true + Head Length: 0.6000000238418579 + Head Radius: 0.6000000238418579 + Name: Carrot + Queue Size: 10 + Shaft Length: 1 + Shaft Radius: 0.30000001192092896 + Shape: Arrow + Topic: /move_base_simple/goal + Unreliable: false + Value: true Enabled: true - Head Length: 0.30000001192092896 - Head Radius: 0.10000000149011612 - Name: Pose - Queue Size: 10 - Shaft Length: 1 - Shaft Radius: 0.05000000074505806 - Shape: Arrow - Topic: /move_base_simple/goal - Unreliable: false - Value: true + Name: Carrot Follower Enabled: true Global Options: Background Color: 255; 255; 255 @@ -846,7 +850,7 @@ Visualization Manager: Views: Current: Class: rviz/ThirdPersonFollower - Distance: 47.735103607177734 + Distance: 12.95793628692627 Enable Stereo Rendering: Stereo Eye Separation: 0.05999999865889549 Stereo Focal Distance: 1 @@ -854,17 +858,17 @@ Visualization Manager: Value: false Field of View: 0.7853981852531433 Focal Point: - X: 6.462728023529053 - Y: -0.07755613327026367 - Z: 9.5367431640625e-07 + X: 4.059267044067383 + Y: 0.8467369079589844 + Z: -4.547028311208123e-06 Focal Shape Fixed Size: false Focal Shape Size: 0.05000000074505806 Invert Z Axis: false Name: Current View Near Clip Distance: 0.009999999776482582 - Pitch: 0.7597965598106384 + Pitch: 1.0497957468032837 Target Frame: base - Yaw: 6.278591632843018 + Yaw: 1.760424256324768 Saved: ~ Window Geometry: AB Wide Angle Front: diff --git a/wild_visual_navigation_jackal/launch/sim.launch b/wild_visual_navigation_jackal/launch/sim.launch index a8442eca..9e95fcfc 100644 --- a/wild_visual_navigation_jackal/launch/sim.launch +++ b/wild_visual_navigation_jackal/launch/sim.launch @@ -32,6 +32,6 @@ - + From e9dfdfab03fa1fde5ee650991e05b9dd4d85f099 Mon Sep 17 00:00:00 2001 From: Matias Mattamala Date: Wed, 10 Apr 2024 20:28:29 +0100 Subject: [PATCH 4/6] Add sim_demo image --- README.md | 32 +++++++----- assets/images/sim_demo.jpg | Bin 0 -> 438188 bytes docker/Dockerfile | 2 + docker/README.md | 46 ++++++++++-------- docker/docker-compose-gui-nvidia.yaml | 1 - docker/docker-compose-gui.yaml | 1 - docker/docker-compose-nvidia.yaml | 1 - docker/docker-compose.yaml | 9 +--- docker/first_run.sh | 15 ++++++ wild_visual_navigation_jackal/README.md | 4 +- .../launch/sim.launch | 3 ++ .../launch/teleop.launch | 7 --- .../scripts/carrot_follower.py | 2 +- .../scripts/gazebo_world_publisher.py | 9 ++++ 14 files changed, 77 insertions(+), 55 deletions(-) create mode 100644 assets/images/sim_demo.jpg create mode 100755 docker/first_run.sh delete mode 100644 wild_visual_navigation_jackal/launch/teleop.launch diff --git a/README.md b/README.md index 60ec8729..0b92c94e 100644 --- a/README.md +++ b/README.md @@ -26,9 +26,14 @@ Dino -## Installation +## Setup -### Minimal +### Quick simulation demo +We prepared a quick-start simulation with a Jackal robot using Docker. Please check the instructions [here](docker/README.md) + +![Overview](./assets/images/sim_demo.jpg) + +### Minimal setup Clone the WVN and our STEGO reimplementation. ```shell mkdir ~/git && cd ~/git @@ -73,8 +78,8 @@ pip3 install -e ./self_supervised_segmentation ┣ 📂wild_visual_navigation_msgs # ROS1 message definitions ┣ 📂wild_visual_navigation_ros # ROS1 nodes for running WVN ┗ 📂scripts - ┗ 📜 wvn_feature_extractor_node.py - ┗ 📜 wvn_learning_node.py + ┗ 📜 wvn_feature_extractor_node.py # Main process for feature extraction and inference + ┗ 📜 wvn_learning_node.py # Main process that generates supervision signals and the online training loop ┗ 📜 quick_start.py # Inferencing demo_data from pre-trained checkpoints ``` ### Features @@ -87,7 +92,7 @@ pip3 install -e ./self_supervised_segmentation Dino -## Experiments +## Demos ### Inference of pre-trained model @@ -105,11 +110,11 @@ python3 quick_start.py ``` ### Online adaptation [Simulation] -Instructions can be found within [wild_visual_navigation_jackal/README.md](wild_visual_navigation_jackal/README.md). +We prepared a Docker image to run a simulation with a Jackal robot, check the instructions [here](docker/README.md). ### Online adaptation [Rosbag] -#### Download Rosbags: -To quickly test out online training and adaption we provide some example rosbags ( [GDrive](https://drive.google.com/drive/folders/1Rf2TRPT6auFxOpnV9-ZfVMjmsvdsrSD3?usp=sharing) ), collected with our ANYmal D robot. +#### Download rosbags: +To quickly test out online training and adaption we provide some example rosbags ([GDrive](https://drive.google.com/drive/folders/1Rf2TRPT6auFxOpnV9-ZfVMjmsvdsrSD3?usp=sharing)), collected with our ANYmal D robot. #### Example Result:
@@ -121,7 +126,7 @@ To quickly test out online training and adaption we provide some example rosbags
-#### ROS-Setup: +#### ROS Setup: ```shell # Create new catkin workspace source /opt/ros/noetic/setup.bash @@ -150,7 +155,7 @@ source /opt/ros/noetic/setup.bash source ~/catkin_ws/devel/setup.bash ``` -After successfully building the ros workspace, you can run the entire pipeline by either using the launch file or by running the nodes individually. +After successfully building the ROS workspace, you can run the entire pipeline by either using the launch file or by running the nodes individually. Open multiple terminals and run the following commands: - Run wild_visual_navigation @@ -184,13 +189,15 @@ python wild_visual_navigation_ros/scripts/wvn_learning_node.py - The general configuration files can be found under: `wild_visual_navigation/cfg/experiment_params.py` - This configuration is used in the `offline-model-training` and in the `online-ros` mode. - When running the `online-ros` mode, additional configurations for the individual nodes are defined in `wild_visual_navigation/cfg/ros_params.py`. -- These configuration file is filled based on the rosparameter-server during runtime. +- These configuration file is filled based on the ROS parameter server during runtime. - The default values for this configuration can be found under `wild_visual_navigation/wild_visual_navigation_ros/config/wild_visual_navigation`. Dino ## Development +
+Here we provide additional details if you want to contribute. ### Install pre-commit ```shell @@ -219,7 +226,7 @@ pytest ### Open-Sourcing Generating headers ```shell -pip3 install adheader +pip3 install addheader # If your are using zsh otherwise remove \ addheader wild_visual_navigation -t header.txt -p \*.py --sep-len 79 --comment='#' --sep=' ' @@ -238,6 +245,7 @@ rosrun procman_ros sheriff -l ~/git/wild_visual_navigation/wild_visual_navigatio ```shell rosbag_play --tf --sem --flp --wvn mission/*.bag ``` +
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RUN echo "source /root/env/bin/activate" >> ~/.bashrc + +COPY docker/first_run.sh first_run.sh ENV DEBIAN_FRONTEND=dialog \ No newline at end of file diff --git a/docker/README.md b/docker/README.md index 1ed75a0d..82fd8739 100644 --- a/docker/README.md +++ b/docker/README.md @@ -13,60 +13,64 @@ To build the container: docker compose -f docker-compose-gui-nvidia.yaml build ``` -## Run the container +## Run the simulation environment in the container -To run the container (terminal-based): +Start the container in detached mode: ```sh docker compose -f docker-compose-gui-nvidia.yaml up -d ``` -To launch bash on the container: +Launch a first bash terminal in the container to start the simulation environment: ```sh -docker compose exec wvn bash +docker compose -f docker-compose-gui-nvidia.yaml exec wvn_nvidia /bin/bash ``` -## Stop the container +Once in the container, run the `first_run` script to install the WVN package that is mounted automatically when the container starts: +```sh +source first_run.sh +``` -To stop the container: +Launch the Gazebo simulation environment and an RViz window as the main interface. ```sh -docker compose -f docker-compose.yaml stop +roslaunch wild_visual_navigation_jackal sim.launch ``` +If this doesn't open any window, pelase check the troubleshooting section below. -## Running Wild Visual Navigation -You can either run the following commands in 4 terminals that initialize a bash terminal in the container, or you can use VS Code with the Docker extension to instantiate terminal in the container directly. - -### Launch Jackal sim +Open a new terminal to launch WVN in the container ```sh -roslaunch wild_visual_navigation_jackal sim.launch +docker compose -f docker-compose-gui-nvidia.yaml exec wvn_nvidia /bin/bash ``` -### Launch WVN - +And then, once in the container: ```sh roslaunch wild_visual_navigation_jackal wild_visual_navigation.launch ``` -### Launch Teleop node +You can drive the Jackal robot by sending 2D Nav goals using RViz. We implemented a simple [carrot follower](../wild_visual_navigation_jackal/scripts/carrot_follower.py) that was tuned for the demo (not actually used in real experiments) -```sh -roslaunch wild_visual_navigation_jackal teleop.launch -``` -### Launch RViz window +## Stop the example + +Kill all the terminal as usual (Ctrl + D). Then, stop the container using: ```sh -roslaunch wild_visual_navigation_jackal view.launch +docker compose -f docker-compose-gui-nvidia.yaml down ``` ## Troubleshooting -If the GUI doesn't work, you might need to allow the X Server to connect before running the container: +If the GUI doesn't work, you'll see an error like: + +> No protocol specified +> qt.qpa.xcb: could not connect to display :1 + +To fix it, you might need to allow the X Server to connect before running the container: ```sh xhost +Local:* diff --git a/docker/docker-compose-gui-nvidia.yaml b/docker/docker-compose-gui-nvidia.yaml index 4d2fadc8..16708ac1 100644 --- a/docker/docker-compose-gui-nvidia.yaml +++ b/docker/docker-compose-gui-nvidia.yaml @@ -1,4 +1,3 @@ -version: "3.9" services: wvn_nvidia: extends: diff --git a/docker/docker-compose-gui.yaml b/docker/docker-compose-gui.yaml index 0cc35c5f..ee1f9c4c 100644 --- a/docker/docker-compose-gui.yaml +++ b/docker/docker-compose-gui.yaml @@ -1,4 +1,3 @@ -version: "3.9" services: wvn: extends: diff --git a/docker/docker-compose-nvidia.yaml b/docker/docker-compose-nvidia.yaml index 1bd55c43..83c1b00f 100644 --- a/docker/docker-compose-nvidia.yaml +++ b/docker/docker-compose-nvidia.yaml @@ -1,4 +1,3 @@ -version: "3.9" services: wvn_nvidia: extends: diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 56f48cc2..9a9adbb5 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -1,4 +1,3 @@ -version: "3.9" services: wvn: build: @@ -13,10 +12,4 @@ services: - ../../self_supervised_segmentation:/root/catkin_ws/src/self_supervised_segmentation environment: - ROS_IP=127.0.0.1 - command: "/bin/bash" - # command: > - # /bin/bash -c "pip3 install -e /root/catkin_ws/src/wild_visual_navigation - # && pip3 install -e /root/catkin_ws/src/self_supervised_segmentation - # && cd /root/catkin_ws && catkin build - # && cd /root - # && source /root/catkin_ws/devel/setup.bash" \ No newline at end of file + command: "/bin/bash" \ No newline at end of file diff --git a/docker/first_run.sh b/docker/first_run.sh new file mode 100755 index 00000000..eeba87d8 --- /dev/null +++ b/docker/first_run.sh @@ -0,0 +1,15 @@ +#!/bin/bash + +echo "pip3 install -e /root/catkin_ws/src/self_supervised_segmentation ..." +pip3 install -e /root/catkin_ws/src/self_supervised_segmentation > /dev/null + +echo "pip3 install -e /root/catkin_ws/src/wild_visual_navigation ..." +pip3 install -e /root/catkin_ws/src/wild_visual_navigation > /dev/null + +echo "catkin build ..." +catkin build > /dev/null + +echo "source devel/setup.bash ..." +source devel/setup.bash > /dev/null + +echo "Setup ready!" \ No newline at end of file diff --git a/wild_visual_navigation_jackal/README.md b/wild_visual_navigation_jackal/README.md index 50a45ad5..3c2c6d75 100644 --- a/wild_visual_navigation_jackal/README.md +++ b/wild_visual_navigation_jackal/README.md @@ -15,9 +15,7 @@ sudo apt-get update sudo apt update sudo apt install -y \ ros-noetic-jackal-simulator \ - ros-noetic-jackal-desktop \ - ros-noetic-teleop-twist-keyboard \ - ros-noetic-rqt-robot-steering \ + ros-noetic-jackal-desktop ``` ## Running diff --git a/wild_visual_navigation_jackal/launch/sim.launch b/wild_visual_navigation_jackal/launch/sim.launch index 9e95fcfc..98926656 100644 --- a/wild_visual_navigation_jackal/launch/sim.launch +++ b/wild_visual_navigation_jackal/launch/sim.launch @@ -34,4 +34,7 @@ + + + diff --git a/wild_visual_navigation_jackal/launch/teleop.launch b/wild_visual_navigation_jackal/launch/teleop.launch deleted file mode 100644 index 3ffe082f..00000000 --- a/wild_visual_navigation_jackal/launch/teleop.launch +++ /dev/null @@ -1,7 +0,0 @@ - - - - - - - \ No newline at end of file diff --git a/wild_visual_navigation_jackal/scripts/carrot_follower.py b/wild_visual_navigation_jackal/scripts/carrot_follower.py index 91e23b27..fabaa82b 100644 --- a/wild_visual_navigation_jackal/scripts/carrot_follower.py +++ b/wild_visual_navigation_jackal/scripts/carrot_follower.py @@ -23,7 +23,7 @@ MAX_LINEAR_VEL = 0.5 MAX_ANGULAR_VEL = 0.7 GAIN_LINEAR = 1.0 -GAIN_ANGULAR = 1.0 +GAIN_ANGULAR = 1.5 DIST_THR = 0.1 # 10 cms diff --git a/wild_visual_navigation_jackal/scripts/gazebo_world_publisher.py b/wild_visual_navigation_jackal/scripts/gazebo_world_publisher.py index 00038861..570d53a8 100644 --- a/wild_visual_navigation_jackal/scripts/gazebo_world_publisher.py +++ b/wild_visual_navigation_jackal/scripts/gazebo_world_publisher.py @@ -20,6 +20,9 @@ import tf.transformations as tr +last_stamp = None + + def msg_to_se3(msg): """Conversion from geometric ROS messages into SE(3) Based on Jarvis Schultz's: https://answers.ros.org/question/332407/transformstamped-to-transformation-matrix-python/ @@ -54,7 +57,11 @@ def msg_to_se3(msg): def gazebo_callback(msg): + global last_stamp stamp = rospy.Time.now() + if stamp == last_stamp: + return + T_world_base = msg_to_se3(msg.pose[1]) # this is the base_link pose in world frame (from gazebo) T_base_world = np.linalg.inv(T_world_base) @@ -74,10 +81,12 @@ def gazebo_callback(msg): br.sendTransform(t) pub.publish(marker) + last_stamp = stamp if __name__ == "__main__": rospy.init_node("gazebo_world_publisher") + last_stamp = rospy.Time.now() # Default variables rospack = rospkg.RosPack() From f445d026562e72c61362ad6ae3450b682c0359de Mon Sep 17 00:00:00 2001 From: Matias Mattamala Date: Wed, 10 Apr 2024 20:32:20 +0100 Subject: [PATCH 5/6] Minor comment to reference tree asset --- wild_visual_navigation_jackal/README.md | 12 +++--------- 1 file changed, 3 insertions(+), 9 deletions(-) diff --git a/wild_visual_navigation_jackal/README.md b/wild_visual_navigation_jackal/README.md index 3c2c6d75..e6eb34c6 100644 --- a/wild_visual_navigation_jackal/README.md +++ b/wild_visual_navigation_jackal/README.md @@ -4,7 +4,6 @@ Simulation environment to test Wild Visual Navigation (WVN). We use a modified C ## Requirements - ```sh wget https://packages.clearpathrobotics.com/public.key -O - | sudo apt-key add - sudo sh -c 'echo "deb https://packages.clearpathrobotics.com/stable/ubuntu $(lsb_release -cs) main" > /etc/apt/sources.list.d/clearpath-latest.list' @@ -24,14 +23,9 @@ sudo apt install -y \ roslaunch wild_visual_navigation_jackal sim.launch ``` -```sh -roslaunch wild_visual_navigation_jackal teleop.launch -``` - -```sh -roslaunch wild_visual_navigation_jackal view.launch -``` - ```sh roslaunch wild_visual_navigation_jackal wild_visual_navigation.launch ``` + +## License +The tree assets is by `samuelabyan`, obtained from [TurboSquid](https://www.turbosquid.com/3d-models/free-3ds-model-tree/905801) \ No newline at end of file From 51bd8483339b21eed64b86e54465232e4385c077 Mon Sep 17 00:00:00 2001 From: Matias Mattamala Date: Wed, 10 Apr 2024 23:25:28 +0100 Subject: [PATCH 6/6] Updating READMEs for release --- README.md | 290 +++++++++++++++++++++++++++-------------------- docker/README.md | 43 +++++-- 2 files changed, 196 insertions(+), 137 deletions(-) diff --git a/README.md b/README.md index 0b92c94e..410d9e64 100644 --- a/README.md +++ b/README.md @@ -5,11 +5,12 @@
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    - Installation • - Overview • - Experiments • - Development • - Citation + Features • + Citing • + Quick Start • + Setup • + Demos • + Development

    @@ -24,17 +25,82 @@ ![Overview](./assets/drawings/header.jpg) +This package implements the Wild Visual Navigation (WVN) system presented in Frey & Mattamala et al. ["Fast Traversability Estimation for Wild Visual Navigation"](https://www.roboticsproceedings.org/rss19/p054.html) (2023) and later extended in Mattamala & Frey et al. ["Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision"]() (2024). It implements a visual, self-supervised traversability estimation system for mobile robots, trained online after a few minutes of human demonstrations in the field. + + Dino -## Setup +## Features +- Implementation of the full WVN system in pure Python +- Quick start demos for online training in simulation, as well as scripts for inference using pre-trained models +- Robot integration packages for ANYmal and Jackal robots using ROS 1 +- Integration into [`elevation_mapping_cupy`](https://github.com/leggedrobotics/elevation_mapping_cupy/tree/main) + + + +Dino -### Quick simulation demo -We prepared a quick-start simulation with a Jackal robot using Docker. Please check the instructions [here](docker/README.md) +## Citing this work +```bibtex +@INPROCEEDINGS{frey23fast, + AUTHOR = {Jonas Frey AND Matias Mattamala AND Nived Chebrolu AND Cesar Cadena AND Maurice Fallon AND Marco Hutter}, + TITLE = {{Fast Traversability Estimation for Wild Visual Navigation}}, + BOOKTITLE = {Proceedings of Robotics: Science and Systems}, + YEAR = {2023}, + ADDRESS = {Daegu, Republic of Korea}, + MONTH = {July}, + DOI = {10.15607/RSS.2023.XIX.054} +} +``` + +If you are also building up on the STEGO integration or using the pre-trained models for comparison, please cite: +```bibtex +@INPROCEEDINGS{mattamala24wild, + AUTHOR = {Jonas Frey AND Matias Mattamala AND Libera Piotr AND Nived Chebrolu AND Cesar Cadena AND Georg Martius AND Marco Hutter AND Maurice Fallon}, + TITLE = {{Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision}}, + BOOKTITLE = {under review for Autonomous Robots}, + YEAR = {2024} +} +``` + +If you are using the `elevation_mapping_cupy` integration: +```bibtex +@INPROCEEDINGS{erni23mem, + AUTHOR={Erni, Gian and Frey, Jonas and Miki, Takahiro and Mattamala, Matias and Hutter, Marco}, + TITLE={{MEM: Multi-Modal Elevation Mapping for Robotics and Learning}}, + BOOKTITLE={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, + YEAR={2023}, + PAGES={11011-11018}, + DOI={10.1109/IROS55552.2023.10342108} +} +``` + +Dino + +## Quick start +We prepared a quick-start demo using a simulated Jackal robot. The demo runs on Docker, so no system dependencies are required. Please check the full instructions [here](docker/README.md) ![Overview](./assets/images/sim_demo.jpg) + +Dino + +## Setup +We recommend following the aforementioned [Docker instructions](docker/README.md) as well as inspecting the [Dockerfile](docker/Dockerfile) for a clean, system-independent setup. + +Otherwise, the next steps provide specific instructions to setup WVN on different systems. + +### Requirements +The next steps assume you have the following hardware & software setup. +- ROS 1 Noetic +- CUDA-enabled GPU +- CUDA drivers (we use 12.0) + ### Minimal setup -Clone the WVN and our STEGO reimplementation. +These are the minimum requirements to use the WVN scripts (no robot integration). + +#### Installation +First clone the WVN and our STEGO reimplementation. ```shell mkdir ~/git && cd ~/git git clone git@github.com:leggedrobotics/wild_visual_navigation.git @@ -55,78 +121,14 @@ pip3 install -e ./wild_visual_navigation pip3 install -e ./self_supervised_segmentation ``` -Dino +#### Execution +Please refer to the [Demos](#inference-of-pre-trained-model) section below. -## Overview - -### Repository Structure -``` -📦wild_visual_navigation - ┣ 📂assets - ┣ 📂demo_data # Example images - ┣ 🖼 example_images.png - ┗ .... - ┗ 📂checkpoints # Pre-trained model checkpoints - ┣ 📜 mountain_bike_trail_v2.pt - ┗ .... - ┣ 📂docker # Quick start docker container - ┣ 📂results - ┣ 📂test - ┣ 📂wild_visual_navigation # Core implementation of WVN - ┣ 📂wild_visual_navigation_anymal # ROS1 ANYmal helper package - ┣ 📂wild_visual_navigation_jackal # ROS1 Jackal simulation example - ┣ 📂wild_visual_navigation_msgs # ROS1 message definitions - ┣ 📂wild_visual_navigation_ros # ROS1 nodes for running WVN - ┗ 📂scripts - ┗ 📜 wvn_feature_extractor_node.py # Main process for feature extraction and inference - ┗ 📜 wvn_learning_node.py # Main process that generates supervision signals and the online training loop - ┗ 📜 quick_start.py # Inferencing demo_data from pre-trained checkpoints -``` -### Features -- quick_start script for inference using pre-trained models (can be used as an easy baseline) -- ROS1 integration for online deployment -- Jackal Gazebo simulation demo integration -- Docker container for easy installation -- Integration into elevation_mapping_cupy - - -Dino - -## Demos - -### Inference of pre-trained model - -Script to inference traversability of images within input folder (`assets/demo_data/*.png`), given a pre-trained model checkpoint (`assets/checkpoints/model_name.pt`). The script stores the result in the provided output folder (`results/demo_data/*.png`). -```python -python3 quick_start.py - -# python3 quick_start.py --help for more CLI information -# usage: quick_start.py [-h] [--model_name MODEL_NAME] [--input_image_folder INPUT_IMAGE_FOLDER] -# [--output_folder_name OUTPUT_FOLDER_NAME] [--network_input_image_height NETWORK_INPUT_IMAGE_HEIGHT] -# [--network_input_image_width NETWORK_INPUT_IMAGE_WIDTH] [--segmentation_type {slic,grid,random,stego}] -# [--feature_type {dino,dinov2,stego}] [--dino_patch_size {8,16}] [--dino_backbone {vit_small}] -# [--slic_num_components SLIC_NUM_COMPONENTS] [--compute_confidence] [--no-compute_confidence] -# [--prediction_per_pixel] [--no-prediction_per_pixel] -``` - -### Online adaptation [Simulation] -We prepared a Docker image to run a simulation with a Jackal robot, check the instructions [here](docker/README.md). - -### Online adaptation [Rosbag] -#### Download rosbags: -To quickly test out online training and adaption we provide some example rosbags ([GDrive](https://drive.google.com/drive/folders/1Rf2TRPT6auFxOpnV9-ZfVMjmsvdsrSD3?usp=sharing)), collected with our ANYmal D robot. - -#### Example Result: -
    - -| MPI Outdoor | MPI Indoor | Bahnhofstrasse | Bike Trail | -|----------------|------------|-------------|---------------------| -| MPI Outdoor | MPI Indoor | Bahnhofstrasse | Mountain Bike | -| MPI Outdoor | MPI Indoor | Bahnhofstrasse | Mountain Bike | -
    +### ROS setup +The following steps are required for a full installation, including the deployment tools. This enables the appropriate use of the ANYmal rosbags, enabling the robot model visualization and other deployment tools. -#### ROS Setup: +#### Installation ```shell # Create new catkin workspace source /opt/ros/noetic/setup.bash @@ -155,6 +157,7 @@ source /opt/ros/noetic/setup.bash source ~/catkin_ws/devel/setup.bash ``` +#### Execution After successfully building the ROS workspace, you can run the entire pipeline by either using the launch file or by running the nodes individually. Open multiple terminals and run the following commands: @@ -173,7 +176,7 @@ roslaunch anymal_d_simple_description load.launch robag play --clock path_to_mission/*.bag ``` -- RVIZ: +- RViz: ```shell roslaunch wild_visual_navigation_ros view.launch ``` @@ -186,27 +189,101 @@ python wild_visual_navigation_ros/scripts/wvn_feature_extractor_node.py python wild_visual_navigation_ros/scripts/wvn_learning_node.py ``` -- The general configuration files can be found under: `wild_visual_navigation/cfg/experiment_params.py` +- The general configuration files can be found under: [`wild_visual_navigation/cfg/experiment_params.py`](wild_visual_navigation/cfg/experiment_params.py) - This configuration is used in the `offline-model-training` and in the `online-ros` mode. -- When running the `online-ros` mode, additional configurations for the individual nodes are defined in `wild_visual_navigation/cfg/ros_params.py`. +- When running the `online-ros` mode, additional configurations for the individual nodes are defined in [`wild_visual_navigation/cfg/ros_params.py`](wild_visual_navigation/cfg/ros_params.py). - These configuration file is filled based on the ROS parameter server during runtime. -- The default values for this configuration can be found under `wild_visual_navigation/wild_visual_navigation_ros/config/wild_visual_navigation`. +- The default values for this configuration can be found under [`wild_visual_navigation/wild_visual_navigation_ros/config/wild_visual_navigation/default.yaml`](wild_visual_navigation_ros/config/wild_visual_navigation/default.yaml). + + +Dino + +## Demos + +### Inference of pre-trained model +We provide the [`python3 quick_start.py`](quick_start.py) script to inference traversability from images within the input folder ([`assets/demo_data/*.png`](assets/demo_data)), given a pre-trained model checkpoint (`assets/checkpoints/model_name.pt`, you can obtain them from [Google Drive](https://drive.google.com/drive/folders/1v18a95u_s8s0870o3UZ8T-9xizsIZwSp?usp=share_link)). +The script stores the result in the provided output folder (`results/demo_data/*.png`). + +```python +python3 quick_start.py + +# python3 quick_start.py --help for more CLI information +# usage: quick_start.py [-h] [--model_name MODEL_NAME] [--input_image_folder INPUT_IMAGE_FOLDER] +# [--output_folder_name OUTPUT_FOLDER_NAME] [--network_input_image_height NETWORK_INPUT_IMAGE_HEIGHT] +# [--network_input_image_width NETWORK_INPUT_IMAGE_WIDTH] [--segmentation_type {slic,grid,random,stego}] +# [--feature_type {dino,dinov2,stego}] [--dino_patch_size {8,16}] [--dino_backbone {vit_small}] +# [--slic_num_components SLIC_NUM_COMPONENTS] [--compute_confidence] [--no-compute_confidence] +# [--prediction_per_pixel] [--no-prediction_per_pixel] +``` + +### Online adaptation from rosbags + +To quickly test out the online training and adaption we provide some example rosbags ([GDrive](https://drive.google.com/drive/folders/1Rf2TRPT6auFxOpnV9-ZfVMjmsvdsrSD3?usp=sharing)), collected with our ANYmal D robot. These can be tested using the [ROS instructions](#execution) + +Here we provide some examples for the different sequences: +
    + +| MPI Outdoor | MPI Indoor | Bahnhofstrasse | Bike Trail | +|----------------|------------|-------------|---------------------| +| MPI Outdoor | MPI Indoor | Bahnhofstrasse | Mountain Bike | +| MPI Outdoor | MPI Indoor | Bahnhofstrasse | Mountain Bike | + +
    Dino ## Development +Lastly, we provide some general guidelines for development. These could be useful to test WVN with your own robot platform. + +### Repository structure +The WVN repo is structured in different folders, which we explain in the following figure: + +```sh +📦wild_visual_navigation + ┣ 📂assets + ┣ 📂demo_data # Example images + ┣ 🖼 example_images.png + ┗ .... + ┗ 📂checkpoints # Pre-trained model checkpoints (must be downloaded from Google Drive) + ┣ 📜 mountain_bike_trail_v2.pt + ┗ .... + ┣ 📂docker # Quick start docker container + ┣ 📂results + ┣ 📂test + ┣ 📂wild_visual_navigation # Core, ROS-independent implementation of WVN + ┣ 📂wild_visual_navigation_anymal # ROS1 ANYmal helper package + ┣ 📂wild_visual_navigation_jackal # ROS1 Jackal simulation example + ┣ 📂wild_visual_navigation_msgs # ROS1 message definitions + ┣ 📂wild_visual_navigation_ros # ROS1 nodes for running WVN + ┗ 📂scripts + ┗ 📜 wvn_feature_extractor_node.py # Main process for feature extraction and inference + ┗ 📜 wvn_learning_node.py # Main process that generates supervision signals and the online training loop + ┗ 📜 quick_start.py # Inference demo from pre-trained checkpoints +``` + +### Adapting WVN for your own robot +We recommend making a new ROS package to implement the overlays to run WVN with your own robot platform. We suggest inspecting the [wild_visual_navigation_jackal](wild_visual_navigation_jackal) as a reference. + +In a nutshell, you need to configure: + +- [wild_visual_navigation_jackal/config/wild_visual_navigation/camera.yaml](wild_visual_navigation_jackal/config/wild_visual_navigation/camera.yaml): This specifies the main parameters of the cameras available in your robot. Particularly if you plan to use them for training and inference, or just inference. You can also specify a weight that controls the time allocation of the camera scheduler. +- [wild_visual_navigation_jackal/config/wild_visual_navigation/jackal.yaml](wild_visual_navigation_jackal/config/wild_visual_navigation/jackal.yaml): This specifies the WVN parameters, as well as the robot input signals and frames. We recommend changing the frames accordingly, but implement a _converter_ node for the input signals (robot velocity and human command velocity, see below). +- [wild_visual_navigation_jackal/scripts/jackal_state_converter_node.py](wild_visual_navigation_jackal/scripts/jackal_state_converter_node.py): This script implements a node that re-maps the velocity estimates and velocity commands using custom WVN messages. We adopted this approach to avoid the installation of custom robot messages on the GPU computer where we ran WVN, and instead running the converter on the robot computer to obtain the signals we required. +- [wild_visual_navigation_jackal/launch/wild_visual_navigation.launch](wild_visual_navigation_jackal/launch/wild_visual_navigation.launch): A launchfile that loads the custom parameters of the package as well as launches the WVN nodes. + +### Further notes
    Here we provide additional details if you want to contribute. -### Install pre-commit +#### Install pre-commit ```shell pip3 install pre-commit cd wild_visual_navigation && python3 -m pre_commit install cd wild_visual_navigation && python3 -m pre_commit run ``` -### Code formatting +#### Code formatting ```shell # for formatting pip install black @@ -217,13 +294,13 @@ flake8 . ``` Code format is checked on push. -### Testing +#### Testing Introduction to [pytest](https://github.com/pluralsight/intro-to-pytest). ```shell pytest ``` -### Open-Sourcing +#### Open-sourcing Generating headers ```shell pip3 install addheader @@ -237,7 +314,7 @@ addheader wild_visual_navigation_ros -t header.txt -p \*CMakeLists.txt --sep-len addheader wild_visual_navigation_anymal -t header.txt -p \*.py -p \*CMakeLists.txt --sep-len 79 --comment='#' --sep=' ' ``` -### Releasing ANYmal data +#### Releasing ANYmal data ```shell rosrun procman_ros sheriff -l ~/git/wild_visual_navigation/wild_visual_navigation_anymal/config/procman/record_rosbags.pmd --start-roscore ``` @@ -246,42 +323,3 @@ rosrun procman_ros sheriff -l ~/git/wild_visual_navigation/wild_visual_navigatio rosbag_play --tf --sem --flp --wvn mission/*.bag ```
    - -Dino - -## Citation -``` -@INPROCEEDINGS{frey23fast, - AUTHOR = {Jonas Frey AND Matias Mattamala AND Nived Chebrolu AND Cesar Cadena AND Maurice Fallon AND Marco Hutter}, - TITLE = {{Fast Traversability Estimation for Wild Visual Navigation}}, - BOOKTITLE = {Proceedings of Robotics: Science and Systems}, - YEAR = {2023}, - ADDRESS = {Daegu, Republic of Korea}, - MONTH = {July}, - DOI = {10.15607/RSS.2023.XIX.054} -} -``` - -If you are also building up on the STEGO integration or using the pre-trained models for comparison, please cite: -``` -@INPROCEEDINGS{mattamala24wild, - AUTHOR = {Jonas Frey AND Matias Mattamala AND Libera Piotr AND Nived Chebrolu AND Cesar Cadena AND Georg Martius AND Marco Hutter AND Maurice Fallon}, - TITLE = {{Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision}}, - BOOKTITLE = {under review for Autonomous Robots}, - YEAR = {2024} -} -``` - -If you are using the elevation_mapping integration: -``` -@INPROCEEDINGS{erni23mem, - AUTHOR={Erni, Gian and Frey, Jonas and Miki, Takahiro and Mattamala, Matias and Hutter, Marco}, - TITLE={{MEM: Multi-Modal Elevation Mapping for Robotics and Learning}}, - BOOKTITLE={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, - YEAR={2023}, - PAGES={11011-11018}, - DOI={10.1109/IROS55552.2023.10342108} -} -``` - - diff --git a/docker/README.md b/docker/README.md index 82fd8739..fad310a0 100644 --- a/docker/README.md +++ b/docker/README.md @@ -5,9 +5,28 @@ We provide an example package to demonstrate Wild Visual Navigation on a simulat This example should be self-contained and it should run on a Docker container. This was tested on Ubuntu machines, we do not expect the GUI to run on Windows or Mac computers (due to X11 support). -## Build the image -To build the container: +## Preliminaries +The instructions assume you have Docker installed. If you haven't used Docker before, please take a look at the excellent resources prepared by Tobit Flatscher in [docker-for-robotics](https://github.com/2b-t/docker-for-robotics), which this demo builds upon. + +# Get the required repositories +First clone the WVN and our STEGO reimplementation. +```shell +mkdir ~/git && cd ~/git +git clone git@github.com:leggedrobotics/wild_visual_navigation.git +git clone git@github.com:leggedrobotics/self_supervised_segmentation.git +``` + +Then, go to the `docker` folder in `wild_visual_navigation` + +```shell +cd ~/git/wild_visual_navigation/docker +``` + +> Note: All the following commands must be executed in this folder + +## Build the image +Build the Docker image running: ```sh docker compose -f docker-compose-gui-nvidia.yaml build @@ -27,7 +46,8 @@ Launch a first bash terminal in the container to start the simulation environmen docker compose -f docker-compose-gui-nvidia.yaml exec wvn_nvidia /bin/bash ``` -Once in the container, run the `first_run` script to install the WVN package that is mounted automatically when the container starts: +Once in the container, source the `first_run` script to install the WVN package that is mounted automatically when the container starts: + ```sh source first_run.sh ``` @@ -37,42 +57,43 @@ Launch the Gazebo simulation environment and an RViz window as the main interfac ```sh roslaunch wild_visual_navigation_jackal sim.launch ``` -If this doesn't open any window, pelase check the troubleshooting section below. +If this doesn't open any window, please check the troubleshooting section below. -Open a new terminal to launch WVN in the container +Open a new terminal to launch WVN in the same container: ```sh docker compose -f docker-compose-gui-nvidia.yaml exec wvn_nvidia /bin/bash ``` -And then, once in the container: +And then, once you are in the container: ```sh roslaunch wild_visual_navigation_jackal wild_visual_navigation.launch ``` -You can drive the Jackal robot by sending 2D Nav goals using RViz. We implemented a simple [carrot follower](../wild_visual_navigation_jackal/scripts/carrot_follower.py) that was tuned for the demo (not actually used in real experiments) +Wait until the Rviz window show the simulation environment. Once it's ready, you can drive the Jackal robot by sending 2D Nav goals using RViz. We implemented a simple [carrot follower](../wild_visual_navigation_jackal/scripts/carrot_follower.py) that was tuned for the demo (not actually used in real experiments) ## Stop the example -Kill all the terminal as usual (Ctrl + D). Then, stop the container using: +Kill all the terminals as usual (Ctrl + D). Then, stop the container using: ```sh docker compose -f docker-compose-gui-nvidia.yaml down ``` - ## Troubleshooting -If the GUI doesn't work, you'll see an error like: +If RViz doesn't show up, you'll see an error like this in the terminal: > No protocol specified > qt.qpa.xcb: could not connect to display :1 -To fix it, you might need to allow the X Server to connect before running the container: +To fix it, you might need to allow the X Server to connect before running the container. Stop everything (including the container) and then run: ```sh xhost +Local:* xhost ``` + +Then restart the container and run the other commands. Now RViz should pop up.

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+++ b/wild_visual_navigation_jackal/scripts/gazebo_world_publisher.py @@ -0,0 +1,46 @@ +#!/usr/bin/python3 +# +# Copyright (c) 2022-2024, ETH Zurich, Matias Mattamala, Jonas Frey. +# All rights reserved. Licensed under the MIT license. +# See LICENSE file in the project root for details. +# + +from visualization_msgs.msg import Marker +import rospkg +import rospy + + +def callback(event): + pub.publish(marker) + + +if __name__ == "__main__": + rospy.init_node("gazebo_world_publisher") + + # Default variables + rospack = rospkg.RosPack() + pkg_path = rospack.get_path("wild_visual_navigation_jackal") + default_model_file = f"{pkg_path}/Media/models/outdoor.dae" + + marker = Marker() + marker.header.frame_id = "odom" + marker.header.stamp = rospy.Time.now() + marker.id = 0 + marker.ns = "world" + marker.action = Marker.ADD + marker.scale.x = 1.0 + marker.scale.y = 1.0 + marker.scale.z = 1.0 + marker.color.a = 1.0 + marker.pose.orientation.w = 1.0 + marker.mesh_use_embedded_materials = True + marker.type = Marker.MESH_RESOURCE + marker.mesh_resource = f"file://{default_model_file}" + + # Set publisher + pub = rospy.Publisher("/wild_visual_navigation_jackal/simulation_world", Marker, queue_size=10) + + # Set timer to publish + rospy.Timer(rospy.Duration(5), callback) + rospy.loginfo("[gazebo_world_publisher] Published world!") + rospy.spin() diff --git a/wild_visual_navigation_jackal/worlds/outdoor.world b/wild_visual_navigation_jackal/worlds/outdoor.world index 209372f8..baa0a315 100644 --- a/wild_visual_navigation_jackal/worlds/outdoor.world +++ b/wild_visual_navigation_jackal/worlds/outdoor.world @@ -1,6 +1,6 @@ - + 0.2 0.2 0.2 1 1 @@ -20,295 +20,28 @@ 0.2 0.2 -0.9 - - 1 - - - - - - file://heightmap.png - 30 30 12 - 0 0 -1 - - 10 - __default__ - __default__ - - - 0 - 0 - - - - 10 - - - - - - - - - - - - - - - - - - file://media/materials/textures/dirt_diffusespecular.png - file://media/materials/textures/flat_normal.png - 7 - - - file://media/materials/textures/grass_diffusespecular.png - file://media/materials/textures/flat_normal.png - 3 - - - file://media/materials/textures/fungus_diffusespecular.png - file://media/materials/textures/flat_normal.png - 4 - - - 0 - 0.05 - - - -1 - 7 - - - file://heightmap.png - 30 30 12 - 0 0 -1 - - - - 0 - 0 - 0 - - - - - - true - - 3 3 -1 0 0 0 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - 5 6 -1.0 0.0 0 0.3 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - 1 8 -0.2 0.0 0 0 - - - - file://OliveTree2.dae - 1 1 1 - - - - - - - file://OliveTree2.dae - 1 1 1 - - - false - - - - - - true - - -5 4 -1.0 0 0.1 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - -10 -3 -1.0 0 0 0.3 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - -6 -1 -0.8 0 0 0.5 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - -1 1 -1.0 0.0 0 0.2 - - - - file://OliveTree2.dae - 1 1 1 - - - - - - - file://OliveTree2.dae - 1 1 1 - - - false - - - - - - true - - 9 -4 -1.0 0 0 0.5 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - 6 -0.5 -1.0 0 0 0.5 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - + + true + + 3 3 -1 0 0 0 + + + + file://outdoor.dae + 1 1 1 + + + + + + + file://outdoor.dae + 1 1 1 + + + false + + + \ No newline at end of file diff --git a/wild_visual_navigation_jackal/worlds/scenario.world b/wild_visual_navigation_jackal/worlds/scenario.world deleted file mode 100644 index 46cfec7b..00000000 --- a/wild_visual_navigation_jackal/worlds/scenario.world +++ /dev/null @@ -1,282 +0,0 @@ - - - - - - 0.5 0.5 0.5 1 - 0.5 0.5 0.5 1 - false - - - 0 0 -9.81 - - - quick - 10 - 1.3 - - - 0.0 - 0.2 - 10 - 0.001 - - - 0.001 - - - 0 20 20 0.1 0.1 0 - 1 1 1 1 - 1 1 1 1 - - 300 - - 0.1 0.1 -1 - false - - - - -15.0 -15.0 0.5 0 0 0 - - - - file://scenario.dae - 1 1 0.4 - - - - - - - file://scenario.dae - 1 1 0.4 - - - false - - - true - - - - - true - - 3 3 0.6 0 0 0 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - 5 6 0.7 0 0 0.3 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - 1 8 0.9 0 0 0 - - - - file://OliveTree2.dae - 1 1 1 - - - - - - - file://OliveTree2.dae - 1 1 1 - - - false - - - - - - true - - -5 4 0.8 0 0 0.1 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - -10 -3 1.1 0 0 0.3 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - -6 -7 1.02 0 0 0.5 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - -1 -6 0.8 0 0 0.2 - - - - file://OliveTree2.dae - 1 1 1 - - - - - - - file://OliveTree2.dae - 1 1 1 - - - false - - - - - - true - - 9 -4 0.5 0 0 0.5 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - true - - 6 -10 0.8 0 0 0.5 - - - - file://OliveTree1.dae - 1 1 1 - - - - - - - file://OliveTree1.dae - 1 1 1 - - - false - - - - - - \ No newline at end of file From 88a3b1eb7d7d4b7eae6c4331a8e3119ce5ec747f Mon Sep 17 00:00:00 2001 From: Matias Mattamala Date: Wed, 10 Apr 2024 17:27:23 +0100 Subject: [PATCH 2/6] Add carrot follower example --- wild_visual_navigation_jackal/CMakeLists.txt | 3 +- .../config/rviz/open_source.rviz | 41 +++++++-- .../launch/sim.launch | 8 +- .../scripts/carrot_follower.py | 89 +++++++++++++++++++ .../scripts/gazebo_world_publisher.py | 74 ++++++++++++++- .../worlds/outdoor.world | 2 +- 6 files changed, 200 insertions(+), 17 deletions(-) create mode 100644 wild_visual_navigation_jackal/scripts/carrot_follower.py diff --git a/wild_visual_navigation_jackal/CMakeLists.txt b/wild_visual_navigation_jackal/CMakeLists.txt index b303635d..3b1676a2 100644 --- a/wild_visual_navigation_jackal/CMakeLists.txt +++ b/wild_visual_navigation_jackal/CMakeLists.txt @@ -21,6 +21,7 @@ install(DIRECTORY launch Media worlds ############ ## Python ## ############ -catkin_install_python(PROGRAMS scripts/jackal_state_converter_node.py +catkin_install_python(PROGRAMS scripts/carrot_follower.py + scripts/jackal_state_converter_node.py scripts/gazebo_world_publisher.py DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}) \ No newline at end of file diff --git a/wild_visual_navigation_jackal/config/rviz/open_source.rviz b/wild_visual_navigation_jackal/config/rviz/open_source.rviz index 9a1976be..0c7fe4c9 100644 --- a/wild_visual_navigation_jackal/config/rviz/open_source.rviz +++ b/wild_visual_navigation_jackal/config/rviz/open_source.rviz @@ -7,7 +7,6 @@ Panels: - /Global Options1 - /TF1/Tree1 - /World1/Status1 - - /Robot Info1 - /Wild Visual Navigation1 - /Wild Visual Navigation1/Self Supervision1 - /Wild Visual Navigation1/Cameras Resized1 @@ -65,6 +64,8 @@ Visualization Manager: Frame Timeout: 1000 Frames: All Enabled: false + base: + Value: true base_link: Value: true chassis_link: @@ -97,6 +98,8 @@ Visualization Manager: Value: true rear_right_wheel_link: Value: true + world: + Value: true Marker Alpha: 1 Marker Scale: 0.5 Name: TF @@ -104,6 +107,8 @@ Visualization Manager: Show Axes: true Show Names: true Tree: + base: + {} odom: base_link: chassis_link: @@ -130,6 +135,8 @@ Visualization Manager: {} rear_right_wheel_link: {} + world: + {} Update Interval: 0 Value: true - Class: rviz/Marker @@ -795,11 +802,27 @@ Visualization Manager: Value: false Enabled: true Name: GridMaps + - Alpha: 1 + Axes Length: 1 + Axes Radius: 0.10000000149011612 + Class: rviz/Pose + Color: 255; 25; 0 + Enabled: true + Head Length: 0.30000001192092896 + Head Radius: 0.10000000149011612 + Name: Pose + Queue Size: 10 + Shaft Length: 1 + Shaft Radius: 0.05000000074505806 + Shape: Arrow + Topic: /move_base_simple/goal + Unreliable: false + Value: true Enabled: true Global Options: Background Color: 255; 255; 255 Default Light: true - Fixed Frame: odom + Fixed Frame: world Frame Rate: 30 Name: root Tools: @@ -823,7 +846,7 @@ Visualization Manager: Views: Current: Class: rviz/ThirdPersonFollower - Distance: 19.5626220703125 + Distance: 47.735103607177734 Enable Stereo Rendering: Stereo Eye Separation: 0.05999999865889549 Stereo Focal Distance: 1 @@ -831,17 +854,17 @@ Visualization Manager: Value: false Field of View: 0.7853981852531433 Focal Point: - X: 6.84149169921875 - Y: -0.8593425750732422 - Z: 7.152557373046875e-07 + X: 6.462728023529053 + Y: -0.07755613327026367 + Z: 9.5367431640625e-07 Focal Shape Fixed Size: false Focal Shape Size: 0.05000000074505806 Invert Z Axis: false Name: Current View Near Clip Distance: 0.009999999776482582 - Pitch: 0.6603981852531433 + Pitch: 0.7597965598106384 Target Frame: base - Yaw: 5.903587341308594 + Yaw: 6.278591632843018 Saved: ~ Window Geometry: AB Wide Angle Front: @@ -863,7 +886,7 @@ Window 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R Confidence Overlay: collapsed: false R Traversability Overlay: diff --git a/wild_visual_navigation_jackal/launch/sim.launch b/wild_visual_navigation_jackal/launch/sim.launch index 8eeab1f5..a8442eca 100644 --- a/wild_visual_navigation_jackal/launch/sim.launch +++ b/wild_visual_navigation_jackal/launch/sim.launch @@ -8,7 +8,7 @@ - + @@ -29,7 +29,9 @@ - - + + + + diff --git a/wild_visual_navigation_jackal/scripts/carrot_follower.py b/wild_visual_navigation_jackal/scripts/carrot_follower.py new file mode 100644 index 00000000..91e23b27 --- /dev/null +++ b/wild_visual_navigation_jackal/scripts/carrot_follower.py @@ -0,0 +1,89 @@ +#!/usr/bin/python3 +# +# Copyright (c) 2022-2024, ETH Zurich, Matias Mattamala, Jonas Frey. +# All rights reserved. Licensed under the MIT license. +# See LICENSE file in the project root for details. +# +# This script implements a simple carrot follower scheme. +# Given a 2D Nav Goal from Rviz, it implements a simple P-control law +# in x, y and yaw to reach the goal. +# Control is done in the "world" frame (see gazebo_world_publisher) +# so there is no state estimation drift for simplicity + +from geometry_msgs.msg import Twist, PoseStamped +from gazebo_msgs.msg import LinkStates +import rospy +import math +import numpy as np +import tf.transformations as tr + + +goal_x, goal_y = (None, None) + +MAX_LINEAR_VEL = 0.5 +MAX_ANGULAR_VEL = 0.7 +GAIN_LINEAR = 1.0 +GAIN_ANGULAR = 1.0 +DIST_THR = 0.1 # 10 cms + + +def wrap_angle(angle): + angle = np.fmod(angle + np.pi, 2 * np.pi) + if angle < 0: + angle = angle + 2 * np.pi + return angle - np.pi + + +def msg_to_se2(pose): + x = pose.position.x + y = pose.position.y + eul = tr.euler_from_quaternion( + np.array([pose.orientation.x, pose.orientation.y, pose.orientation.z, pose.orientation.w]) + ) + yaw = eul[2] + return x, y, yaw + + +def goal_callback(goal_msg): + rospy.loginfo("New goal received") + global goal_x, goal_y + goal_x, goal_y, _ = msg_to_se2(goal_msg.pose) + + +def gazebo_callback(msg): + global goal_x, goal_y + robot_x, robot_y, robot_yaw = msg_to_se2(msg.pose[1]) + if goal_x is None or goal_y is None: + return + compute_cmd(goal_x, goal_y, robot_x, robot_y, robot_yaw) + + +def compute_cmd(goal_x, goal_y, robot_x, robot_y, robot_yaw): + if goal_x is None or goal_y is None: + return + + # Get angular difference + yaw_diff = wrap_angle(math.atan2(goal_y - robot_y, goal_x - robot_x) - robot_yaw) + # Get distance to goal + dist_diff = math.sqrt(((goal_y - robot_y) ** 2) + (goal_x - robot_x) ** 2) + + twist_cmd = Twist() + if dist_diff > DIST_THR: + twist_cmd.angular.z = np.clip(GAIN_ANGULAR * yaw_diff, -MAX_ANGULAR_VEL, MAX_ANGULAR_VEL) + twist_cmd.linear.x = np.clip(GAIN_LINEAR * dist_diff, -MAX_LINEAR_VEL, MAX_LINEAR_VEL) + else: + twist_cmd.angular.z = 0.0 + twist_cmd.linear.x = 0.0 + + # Compute control law + cmd_pub.publish(twist_cmd) + + +if __name__ == "__main__": + rospy.init_node("jackal_carrot_follower") + gazebo_sub = rospy.Subscriber("/gazebo/link_states/", LinkStates, gazebo_callback, queue_size=5) + goal_sub = rospy.Subscriber("/move_base_simple/goal", PoseStamped, goal_callback, queue_size=5) + + cmd_pub = rospy.Publisher("/cmd_vel", Twist, queue_size=5) + rospy.loginfo("[jackal_carrot_follower] ready") + rospy.spin() diff --git a/wild_visual_navigation_jackal/scripts/gazebo_world_publisher.py b/wild_visual_navigation_jackal/scripts/gazebo_world_publisher.py index 42b4086b..00038861 100644 --- a/wild_visual_navigation_jackal/scripts/gazebo_world_publisher.py +++ b/wild_visual_navigation_jackal/scripts/gazebo_world_publisher.py @@ -4,13 +4,75 @@ # All rights reserved. Licensed under the MIT license. # See LICENSE file in the project root for details. # +# This script publishes the simulation scene from the COLLADA (.dae) file +# To be visualized on RViz. It also publishes the "world" frame, as a child +# of the "base_link" frame, using the relative transformation between +# both obtained from gazebo from visualization_msgs.msg import Marker +from gazebo_msgs.msg import LinkStates +from geometry_msgs.msg import Pose, Transform, TransformStamped + import rospkg import rospy +import tf2_ros +import numpy as np +import tf.transformations as tr + + +def msg_to_se3(msg): + """Conversion from geometric ROS messages into SE(3) + Based on Jarvis Schultz's: https://answers.ros.org/question/332407/transformstamped-to-transformation-matrix-python/ + + @param msg: Message to transform. Acceptable types - C{geometry_msgs/Pose}, C{geometry_msgs/PoseStamped}, + C{geometry_msgs/Transform}, or C{geometry_msgs/TransformStamped} + @return: a 4x4 SE(3) matrix as a numpy array + @note: Throws TypeError if we receive an incorrect type. + """ + if isinstance(msg, Pose): + p = np.array([msg.position.x, msg.position.y, msg.position.z]) + q = np.array([msg.orientation.x, msg.orientation.y, msg.orientation.z, msg.orientation.w]) + elif isinstance(msg, Transform): + p = np.array([msg.translation.x, msg.translation.y, msg.translation.z]) + q = np.array([msg.rotation.x, msg.rotation.y, msg.rotation.z, msg.rotation.w]) + elif isinstance(msg, TransformStamped): + p = np.array([msg.transform.translation.x, msg.transform.translation.y, msg.transform.translation.z]) + q = np.array( + [msg.transform.rotation.x, msg.transform.rotation.y, msg.transform.rotation.z, msg.transform.rotation.w] + ) + + norm = np.linalg.norm(q) + if np.abs(norm - 1.0) > 1e-3: + raise ValueError( + "Received un-normalized quaternion (q = {0:s} ||q|| = {1:3.6f})".format(str(q), np.linalg.norm(q)) + ) + elif np.abs(norm - 1.0) > 1e-6: + q = q / norm + g = tr.quaternion_matrix(q) + g[0:3, -1] = p + return g -def callback(event): +def gazebo_callback(msg): + stamp = rospy.Time.now() + T_world_base = msg_to_se3(msg.pose[1]) # this is the base_link pose in world frame (from gazebo) + T_base_world = np.linalg.inv(T_world_base) + + br = tf2_ros.TransformBroadcaster() + t = TransformStamped() + t.header.stamp = stamp + t.header.frame_id = "base_link" + t.child_frame_id = "world" + t.transform.translation.x = T_base_world[0, 3] + t.transform.translation.y = T_base_world[1, 3] + t.transform.translation.z = T_base_world[2, 3] + q = tr.quaternion_from_matrix(T_base_world) + t.transform.rotation.x = q[0] + t.transform.rotation.y = q[1] + t.transform.rotation.z = q[2] + t.transform.rotation.w = q[3] + br.sendTransform(t) + pub.publish(marker) @@ -22,8 +84,12 @@ def callback(event): pkg_path = rospack.get_path("wild_visual_navigation_jackal") default_model_file = f"{pkg_path}/Media/models/outdoor.dae" + # Initialize tf + tf_buffer = tf2_ros.Buffer() + tf_listener = tf2_ros.TransformListener(tf_buffer) + marker = Marker() - marker.header.frame_id = "odom" + marker.header.frame_id = "world" marker.header.stamp = rospy.Time.now() marker.id = 0 marker.ns = "world" @@ -37,10 +103,12 @@ def callback(event): marker.type = Marker.MESH_RESOURCE marker.mesh_resource = f"file://{default_model_file}" + # Set subscriber of gazebo links + gazebo_sub = rospy.Subscriber("/gazebo/link_states/", LinkStates, gazebo_callback, queue_size=10) + # Set publisher pub = rospy.Publisher("/wild_visual_navigation_jackal/simulation_world", Marker, queue_size=10) # Set timer to publish - rospy.Timer(rospy.Duration(5), callback) rospy.loginfo("[gazebo_world_publisher] Published world!") rospy.spin() diff --git a/wild_visual_navigation_jackal/worlds/outdoor.world b/wild_visual_navigation_jackal/worlds/outdoor.world index baa0a315..83ed109a 100644 --- a/wild_visual_navigation_jackal/worlds/outdoor.world +++ b/wild_visual_navigation_jackal/worlds/outdoor.world @@ -23,7 +23,7 @@ true - 3 3 -1 0 0 0 + 0 0 0 0 0 0 From 4c0963bcd80d03d6d35e5d1080660010e6029ff4 Mon Sep 17 00:00:00 2001 From: Matias Mattamala Date: Wed, 10 Apr 2024 19:11:56 +0100 Subject: [PATCH 3/6] Update sim world with trees --- .../Media/models/bark.jpg | Bin 0 -> 195180 bytes .../Media/models/leaves.png | Bin 0 -> 1186928 bytes .../Media/models/outdoor.dae | 515 +++++++++++++++++- .../config/rviz/open_source.rviz | 46 +- .../launch/sim.launch | 2 +- 5 files changed, 537 insertions(+), 26 deletions(-) create mode 100644 wild_visual_navigation_jackal/Media/models/bark.jpg create mode 100644 wild_visual_navigation_jackal/Media/models/leaves.png diff --git a/wild_visual_navigation_jackal/Media/models/bark.jpg b/wild_visual_navigation_jackal/Media/models/bark.jpg new file mode 100644 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