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Repository Index
47,133 repositories indexed
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LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
- lidar-odometry
- lidar-slam
- loam-velodyne
- lidar-inertial
Python package for the evaluation of odometry and SLAM
- slam
- odometry
- evaluation
- metrics
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
An open source platform for visual-inertial navigation research.
- visual-inertial-odometry
- slam
- msckf
- sensor-calibration
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
- loam
- iros
- ieee
- lidar
A LiDAR odometry pipeline that just works
- 3d-mapping
- icp
- lidar-slam
- slam
Semi-direct Visual Odometry
Index repo for Kimera code
- robotics
- computer-vision
- semantics
- 3d-reconstruction
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
- velodyne
- ros
- loam-velodyne
- lidar
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
- loam
- livox-lidar
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
- ros
- mobile-robots
- navigation
- trajectory-optimization
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
- loam
- slam
- aloam
- localization
Robotics with GPU computing
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
- sensor-fusion
- slam
- mapping
- icra2019
AI-IMU Dead-Reckoning
- imu
- state-estimation
- inertial-odometry
- localization
X Inertial-aided Visual Odometry
- vio
- visual-inertial
- odometry
- slam
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
- visual-inertial-odometry
- msckf
- localization
- ekf-mono-slam
Detect 6-DOF grasp poses in point clouds
Dense Visual Odometry and SLAM
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.
visualize URDF/XACRO file, URDF Viewer works on Windows/MacOS/Linux
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
- autonomous-vehicles
- autonomous-driving
- carla
- perception
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
- robotics
- lidar
- slam
- calibration