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Performance improvements #13

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jmirabel opened this issue Jan 30, 2020 · 0 comments
Open

Performance improvements #13

jmirabel opened this issue Jan 30, 2020 · 0 comments

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@jmirabel
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Here are some ideas for improving the tracker, both in terms of quality and computational time.

  • initialization step:
    • the forward kinematics could give a good idea of where in the image to look for tag. The image can then be cropped before running the AprilTag detector.
  • when tracking,
    • use the velocity requested by SoT to provide a better initial pose to the tracker.
    • using the AprilTag tracker:
      • crop the image according to the previous position.
      • add a filter to avoid the high frequencies oscillation.
    • using the ModelBased tracker, check from time to time the pose using the AprilTags.
  • add a pose checker that computes the difference between the expected pose and the computed one.
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