Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
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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
LSD-SLAM
Advanced implementation of LOAM
- loam
- lidar
- slam
A Versatile and Accurate Monocular SLAM
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
- sensor-fusion
- slam
- mapping
- icra2019
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
- rangenet-lib
- suma
- lidar
- slam
CubeSLAM: Monocular 3D Object Detection and SLAM
- slam
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
- 3d-lidar
- loop-closure-detection
- slam
- lidar
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.