Path Planning Method for Automatic Parking Based on Hybrid A*

Hongbin Ren*, Jiyu Sun, Gaoli Zhou, Yang Wang, Lei Yuan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To solve the final critical parking process of automated valet parking, for the common vertical, parallel, and oblique parking scenarios, the hybrid A* path planning algorithm which combines the A* algorithm and the Reeds-Shepp curve is used. The algorithm also contains the collision detection method which combines the circular collision detection and the rectangular collision detection, finally, the collision-free parking route of the target vehicle is obtained. The algorithm considers the heading angle and kinematic constraints of the target vehicle, so it is suitable for practical parking problems. The simulation simulates three typical parking scenarios and compares the path planning results with the A* algorithm. The simulation results show that the planned path of the proposed algorithm has higher quality, requires fewer spot turns, and is more in line with the requirements of the vehicle steering motion. The feasibility and generality of the algorithm are verified through the numerical simulation.

Original languageEnglish
Title of host publicationProceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
EditorsWenxing Fu, Mancang Gu, Yifeng Niu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages763-776
Number of pages14
ISBN (Print)9789819904785
DOIs
Publication statusPublished - 2023
EventInternational Conference on Autonomous Unmanned Systems, ICAUS 2022 - Xi'an, China
Duration: 23 Sept 202225 Sept 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume1010 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Autonomous Unmanned Systems, ICAUS 2022
Country/TerritoryChina
CityXi'an
Period23/09/2225/09/22

Keywords

  • Autonomous parking
  • Hybrid A
  • Path planning

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