Python package for the evaluation of odometry and SLAM
- slam
- odometry
- evaluation
- metrics
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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
gradslam is an open source differentiable dense SLAM library for PyTorch
Toolbox for quantitative trajectory evaluation of VO/VIO
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
- autonomous-driving
- cooperative-driving-automation
- simulation
- connected-and-automated-vehicles
AI-IMU Dead-Reckoning
- imu
- state-estimation
- inertial-odometry
- localization
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
- 3d-lidar
- loop-closure-detection
- slam
- lidar
This repository contains multiple approaches for generating global racetrajectories.
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
- autonomous-vehicles
- autonomous-driving
- carla
- perception
[LIBERO-MAX] A paired benchmark for robot-policy robustness to controlled changes introduced during execution.