Volume 42 Issue 7
Aug 2022
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JOURNAL OF MECHANICAL ENGINEERING  > 2022  >  42(7): 696-705.
ZHAI Li, ZHANG Xueying, ZHANG Xian, WANG Chengping. Local Dynamic Obstacle Avoidance Path Planning Algorithm for Unmanned Vehicles Based on Potential Field Method[J]. JOURNAL OF MECHANICAL ENGINEERING, 2022, 42(7): 696-705. doi: 10.15918/j.tbit1001-0645.2021.333
Citation: ZHAI Li, ZHANG Xueying, ZHANG Xian, WANG Chengping. Local Dynamic Obstacle Avoidance Path Planning Algorithm for Unmanned Vehicles Based on Potential Field Method[J]. JOURNAL OF MECHANICAL ENGINEERING, 2022, 42(7): 696-705. doi: 10.15918/j.tbit1001-0645.2021.333
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Local Dynamic Obstacle Avoidance Path Planning Algorithm for Unmanned Vehicles Based on Potential Field Method

doi: 10.15918/j.tbit1001-0645.2021.333
  • 1.

    School of Machinery Engineering, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    National Engineering Research Center of Electric Vehicles, Beijing 100081, China

  • Received Date: 30 Nov 2021
  • Issue Publish Date: 17 Aug 2022
    Abstract
  • To achieve dynamic real-time obstacle avoidance of unmanned vehicles, a local obstacle avoidance path planning algorithm was proposed based on artificial potential field method. Firstly, improving the potential field environment and the potential field force were arranged in the new method to solve the local minimum value and target unreachable problem of the traditional potential field method. And then, considering the safety of vehicle collisions, the working conditions of lateral dynamic obstacles and the same direction dynamic obstacles were analyzed, and a dynamic window method was used for real-time dynamic obstacle avoidance planning. To ensure path flatness and traceability, a BSL curve was used to smoothing the planned path. Finally, the proposed control algorithm was verified under the co-simulation platform of CarSim and Matlab/Simulink. The simulation results show the effectiveness, safety and traceability of the planning algorithm for obstacle avoidance.

     

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