[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
- autonomous-driving
- end-to-end-autonomous-driving
- motion-prediction
- multi-object-tracking
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[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
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.
[ICRA 2026] GMR: General Motion Retargeting. Retarget human motions into diverse humanoid robots in real time on CPU. Retargeter for TWIST.
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
A map representation based on 3D segments
Real-Time 3D Semantic Reconstruction from 2D data
Real time semantic slam in ROS with a hand held RGB-D camera
Generator of runtime monitors for flight and robotics applications.
A robotics monorepo: ROS 2 real-robot humanoid application plus reusable Python libraries for geometry, occupancy grids, kinematics and tracking.