Path Planning for Automatic Vehicle Parking Problem Based on MAPF

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The integration of autonomous driving technology has brought about a new level of convenience in how we move and park vehicles. However, as the number of self-driving cars increases, the task of parking multiple vehicles simultaneously becomes a more intricate challenge. This project aims to tackle this challenge by developing a solution for the multi-agent path planning problem in automatic vehicle parking. The objective is to create a system that allows multiple autonomous vehicles to find the optimal path from their starting location to their designated parking spot while avoiding collisions with each other. To achieve this, the project proposes a combination of A* algorithm and Conflict-Based Search (CBS) techniques to ensure efficient path planning and safe navigation.