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ShisatoYano/AutonomousVehicleControlBeginnersGuide

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

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AutonomousVehicleControlBeginnersGuide
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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.

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