ZPTM:使用点云表示的农用车辆的齐格扎克路径跟踪方法
Shuang Yang1, Engen Zhang1, Yufei Liu2
1School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China.
一种新的齐格扎格路径跟踪方法 (ZPTM) 简化了农用车辆的导航,使用无人机捕获的数据. 这种自动化系统可以实现高精度的准确现场操作.
科学领域:
- 农业工程 农业工程
- 机器人技术 机器人技术 机器人技术
- 地理空间技术是什么
背景情况:
- 农业自动化依赖于先进的技术,例如无人农业车辆的自动导航.
- 农业中复杂的路径规划可能会阻碍自动化操作的效率和准确性.
研究的目的:
- 提出和评估Zigzag路径跟踪方法 (ZPTM) 以简化农业车辆导航中的路径规划.
- 为了提高自动导航系统的准确性和稳定性,用于诸如喷等任务.
主要方法:
- 利用来自无人机 (UAV) 的直观影像中的点点云来表示曲的路径.
- 开发了一个非线性反功能,使用横向和方向错误来准确引导车辆.
- 实现了图形用户界面 (GUI) 以实时监控和控制导航系统.
- 使用高清晰度喷雾器进行了实地测试,以在不同参数下评估ZPTM的性能.
主要成果:
- 通过在点之间创建局部直线路径,ZPTM简化了导航.
- 通过回归模型进行优化,改善了路径跟踪参数的准确性和流性.
- 实地测试显示最大,平均和根平均平方 (RMS) 误差分别为3.30厘米,2.04厘米和2.27厘米.
结论:
- 基于点云路径的ZPTM提供了一个稳定,准确和适用的解决方案,用于农业自动化中的曲导航.
- 该方法有效地减少了路线规划的复杂性,使农业车辆能够精确无人操作.
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