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[IEEE T-RO 2023] Source code of RING and RING++ for loop closure detection in LiDAR SLAM.
RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning
GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-free State Estimation
Code for "MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training", Arxiv 2025.
A tightly coupled LIO framework based on the equivariant filter.
DUSt3R + Gaussian Splatting
T-ESKF: Transformed Error-State Kalman Filter for Consistent Visual-Inertial Navigation
GLIM: versatile and extensible range-based 3D localization and mapping framework
Reliable LiDAR global localization using spatial verification and pose uncertainty. The implementation is based on PatchAugNet, Overlap-loc, and SpectralGV.
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
FAST-LIO of dynamic object removal based on optical path principle
gisbi-kim / FAST_LIO_SLAM
Forked from hku-mars/FAST_LIOLiDAR SLAM = FAST-LIO + Scan Context
🙇♂️ Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion
[ICRA'24] A localization system based on Block Maps (BMs) to reduce the computational load caused by maintaining large-scale maps
Relative camera pose estimation and visual localization with Reloc3r
A generative world for general-purpose robotics & embodied AI learning.
[3DV'25] 3D Reconstruction with Spatial Memory
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[IEEE RA-L'24] Dynamic Obstacle Detection and Tracking (DODT) algorithm for Autonomous Robots (C++/ROS)
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots
Real-time dense scene reconstruction with SLAM3R
A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
A C++ header-only Eigen-based Library for equivariant Inertial Measurement Unit (IMU) preintegration
[ArXiv] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
Latest Advances on Embodied Multimodal LLMs (or Vison-Language-Action Models).