Under severe weather or flow constrained areas, a new rerouting path planning model based on artificial potential field algorithm (APFA) was proposed.
在恶劣天气或流量受限条件下,建立了基于人工势场算法的改航路径规划模型。
The improvement artificial potential field law in the way plan was applied and simulated, and finally results indicated this algorithm considerably improved the robot avoiding collision.
在路径规划中应用了改进人工势场法并对其进行了仿真试验,结果表明其算法对于机器人的避碰有了可观的改善。
Firstly, the research of this paper is focus on preflight global planning algorithm based on cell decomposition methods and artificial potential field methods.
本文首先对基于栅格法和人工势场法思想的离线航迹规划算法进行了研究。
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