Path planning based on improved A* algorithm

ChengJiao Zhang; Jian Wu; YingBiao Hu; ChengLong Xue

doi:10.1117/12.2674847

28 April 2023 Path planning based on improved A* algorithm

ChengJiao Zhang, Jian Wu, YingBiao Hu, ChengLong Xue

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 1262629 (2023) https://doi.org/10.1117/12.2674847
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

Autonomous driving technology, mobile robot technology and AGV vehicle technology in warehousing and logistics have been a hot topic of research in recent years, path planning plays a pivotal role in these technologies. A good path can improve the operation efficiency of the vehicle robot, reduce its energy consumption and improve its endurance. In this paper, the A-star algorithm is optimized and improved from its planning speed, the number of search points and turning points. Finally using matlab simulation verification, the final proof that the average planning speed increased by more than 20%, the number of search points reduced by more than 25%, the number of turning points reduced by more than 30%.

Citation Download Citation

ChengJiao Zhang, Jian Wu, YingBiao Hu, and ChengLong Xue "Path planning based on improved A* algorithm", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 1262629 (28 April 2023); https://doi.org/10.1117/12.2674847

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