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.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
A LiDAR odometry pipeline that just works
- 3d-mapping
- icp
- lidar-slam
- slam
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
Point cloud registration pipeline for robot localization and 3D perception
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
A robust sensor fusion library for online localization.
- sensorfusion
- estimation-algorithm
- gnss
- ranging
RAX harness: coding agents that learn robot tasks by online exploration
A library for accessing Line-us drawing robots via Node.js and the browser.