Research on path planning strategy based on dynamic object obstacle avoidance

Zijian Wu; Dejun Yin; Junyao Xiao

doi:10.1117/12.2639535

1 August 2022 Research on path planning strategy based on dynamic object obstacle avoidance

Zijian Wu, Dejun Yin, Junyao Xiao

Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 1225703 (2022) https://doi.org/10.1117/12.2639535
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China

Abstract

As a decision-making layer, path planning technology plays an important role in intelligent driving. Using the A* algorithm or the TEB (timed elastic band) algorithm alone cannot achieve global path optimization and dynamic obstacle avoidance at the same time. This paper adopts a path planning strategy combining A* and TEB algorithms. First, use the A* algorithm to test in a static environment, then use the TEB algorithm to test in a dynamic environment, and finally, conduct experiments in a complex environment with both static and dynamic obstacles, the feasibility and effectiveness of the method for path planning in static maps with dynamic obstacles are verified.

Citation Download Citation

Zijian Wu, Dejun Yin, and Junyao Xiao "Research on path planning strategy based on dynamic object obstacle avoidance", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 1225703 (1 August 2022); https://doi.org/10.1117/12.2639535

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