城市低海拔物流无人机的实时路径规划方法
Minyi Deng1, Qingqing Yang1, Yi Peng1
1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
本研究介绍了在城市物流中用于无人机的改进路径规划方法. 新方法提高了UAV在复杂环境中的实时性能和安全性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 物流管理物流管理
背景情况:
- 由于复杂的环境,无人机在城市物流的实时路线规划方面面临着挑战.
- 现有的算法经常在低海拔城市环境中与性能和安全作斗争.
研究的目的:
- 为无人机在低海拔城市物流中开发一种增强的路径规划方法.
- 为了提高无人机路径规划的实时性能,准确性和安全性.
主要方法:
- 一种混合方法,将修改的甲虫天线搜索 (BAS) 算法与模拟火 (SA) 算法相结合.
- 设计适应性功能,以考虑无人机飞行限制和避难障碍.
- 通过动态调整搜索参数和集成SA来优化途径点来改进BAS.
主要成果:
- 拟议的方法证明了在各种障碍密度的环境适应性.
- 与原始BAS相比,在路径长度,路标效率,安全性和路径平滑性方面观察到显著的改进.
- 该算法通过Metropolis基于标准的途径点评估有效地避免了局部最佳情况.
结论:
- 改进的路径规划方法有效地解决了城市物流中无人机的实时性能限制.
- 混合BAS-SA方法为复杂的城市环境中安全和高效的无人机导航提供了强大的解决方案.
- 该方法满足了在低海拔城市物流应用中实时路线规划的关键要求.
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