ShisatoYano/AutonomousVehicleControlBeginnersGuide
Python codebase of autonomous vehicle control algorithms covering localization, mapping, SLAM, path planning, and perception for educational purposes.

This repository provides sample code and documentation teaching autonomous vehicle control algorithms to beginners. It implements core algorithms including Extended/Unscented Kalman Filters and Particle Filters for localization, occupancy grid and NDT mapping, A* and bidirectional A* path planning, and perception tasks like object detection and tracking. The project runs simulations to visualize these algorithms in action.