Raul Mur-Artal

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

A real-time C++ research system for visual SLAM that lets robots and drones build 3D maps and track their own position using monocular, stereo, or depth cameras, with loop closure to correct accumulated errors.

A Versatile and Accurate Monocular SLAM

Modified tool of the TUM RGB-D dataset that automatically computes the optimal scale factor that aligns trajectory and groundtruth. Useful to evaluate monocular VO/SLAM.

Create a rosbag from a collection of images