Open3D: A Modern Library for 3D Data Processing
Python package for the evaluation of odometry and SLAM
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
CUDA-accelerated visual odometry and SLAM library for fast, accurate, low-latency camera tracking
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Deep Patch Visual Odometry/SLAM
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling
GenZ-LIO: SOTA robust LiDAR-inertial odometry (IEEE T-FR 2026)
[RA-L 2026] TRaIL-Odom: Tightly Coupled Continuous Time Radar-IMU-LiDAR Odometry with Adaptive Doppler Weighting
An open reproduction of SA-LIVO: Efficient LiDAR-Inertial-Visual Odometry with Subspace-Aware Degeneracy Handling (arXiv:2606.25699), an independent reimplementation derived from the FAST-LIVO2 ROS2 framework.
TIO-Former: Ultra-Lightweight 6-Directional ToF-Inertial Odometry for Nano-UAVs