Path Planning for Automatic Vehicle Parking Problem Based on MAPF

Path Planning for Automatic Vehicle Parking Problem Based on MAPF

classic project

Author

Abstract

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.

Outcomes

Course

— a.y.

2021/2022

— credits

6

— cycle

2nd cycle

— language

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teachers

— professor

Andrea Omicini

— other professors

Roberta Calegari

context

— university

Alma Mater Studiorum-Università di Bologna

— campus

Bologna

— department / faculty / school

DISI

— 2nd cycle

9063 Artificial Intelligence 

URLs & IDs

— course ID

91267

related courses

— components

Multi-Agent Systems (Module 1) (2nd Cycle, 2021/2022) — Andrea Omicini    Multi-Agent Systems (Module 2) (2nd Cycle, 2021/2022) — Roberta Calegari

— related

Project Work in Multi-Agent Systems (2nd Cycle, 2021/2022) — Andrea Omicini

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