TY - GEN
T1 - Path Planning Method for Automatic Parking Based on Hybrid A*
AU - Ren, Hongbin
AU - Sun, Jiyu
AU - Zhou, Gaoli
AU - Wang, Yang
AU - Yuan, Lei
N1 - Publisher Copyright:
© 2023, Beijing HIWING Sci. and Tech. Info Inst.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Autonomous parking
KW - Hybrid A
KW - Path planning
UR - http://www.scopus.com/inward/record.url?scp=85151060919&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-0479-2_70
DO - 10.1007/978-981-99-0479-2_70
M3 - Conference contribution
AN - SCOPUS:85151060919
SN - 9789819904785
T3 - Lecture Notes in Electrical Engineering
SP - 763
EP - 776
BT - Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
A2 - Fu, Wenxing
A2 - Gu, Mancang
A2 - Niu, Yifeng
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Autonomous Unmanned Systems, ICAUS 2022
Y2 - 23 September 2022 through 25 September 2022
ER -