VSLAM: Visual Simultaneous Localization and Mapping

VSLAM is a streamlined Python implementation of Stereo Visual SLAM. Utilizing libraries such as numpy, opencv, and scipy, it performs feature detection, tracking, matching, motion estimation, and optimization—all designed with the KITTI dataset in mind.

The project includes demo scripts that illustrate essential processes in the visual SLAM pipeline, providing an accessible platform for research and experimentation in visual localization and mapping.