在飞机机场内的无人驾驶地面支持设备的检测和控制框架
Tianxiong Zhang1, Zhiqiang Zhang1, Xinping Zhu1
1Air Traffic Management College, Civil Aviation Flight University of China, Deyang 618307, China.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
本研究引入了无人地面支援设备 (GSE) 的新框架,用于自动化飞机对接. 该系统使用先进的检测和控制来实现精确的导航和避开机场前台上的障碍物.
科学领域:
- 机器人和自动化机器人与自动化
- 航空航天工程 航空航天工程
- 计算机视觉 计算机视觉
背景情况:
- 无人驾驶机器人技术的进步正在改变机场的地面支持.
- 自动化飞机对接需要精确的导航和地面支持设备 (GSE) 的控制.
研究的目的:
- 为无人驾驶GSE开发一种新的检测和控制框架,以实现自动化飞机对接.
- 创建一个系统,确保安全和高效的GSE导航和精确的对接在飞机站内.
主要方法:
- 设计了一个虚拟通道布局,用于无人驾驶GSE导航的转向感应标记.
- 集成的摄像头和Lidar传感器与YOLO算法用于边界,障碍物和对接点检测.
- 开发了一个控制算法,以避免障碍物和精确的对接在不同的围条件下.
主要成果:
- 在虚拟通道边界线检测方面达到89%的准确性,在指导标记方面达到95%.
- YOLO对象检测算法产生了一个F1-Score为0.845.5.
- 无人驾驶GSE的平均对接误差低于3厘米,角度偏差低于5度.
结论:
- 拟议的框架有效地实现了无人驾驶GSE检测和自动化飞机对接.
- 该系统在导航和对接方面的准确性和精确性验证了其在机场运营方面的先进能力.
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