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一种混合群优化和动态窗口方法,用于USV实时导航

Yuquan Xue1, Liming Wang1, Bi He2

  • 1School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

本研究介绍了一种混合路径规划方法,用于使用改进的殖民地优化 (ACO) 和动态窗口方法 (DWA) 的无人驾驶地面车辆 (USV),以实现更安全的海上航行.

关键词:
殖民地优化 (ACO) 方法动态窗口方法 (DWA)多重启发性的核聚变避免障碍 避免障碍 避免障碍实时路径规划实时路径规划基于传感器的导航系统无人驾驶地面车辆 (USV)

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