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一种无人驾驶地面车辆的平滑全球路径规划方法,使用快速探索随机树和贝齐尔曲线的新组合
Betül Z Türkkol1, Nihal Altuntaş2, Sırma Çekirdek Yavuz1
1Computer Engineering, Faculty of Electrical & Electronics, Yildiz Technical University, 34220 Istanbul, Türkiye.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
这项研究通过使用Bézier曲线与RRT路径来增强无人地面车辆 (USV) 的自主导航,以实现更顺的全球路径规划,减少计算复杂性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 自主系统 自主系统
- 导航 导航 导航 导航 导航
背景情况:
- 准确的全球路径规划对于自主导航至关重要,尤其是无人驾驶地面车辆 (USV).
- 在USV路径规划中的一个关键挑战是避免急转,确保轨迹平稳.
- 现有的方法往往侧重于路径平滑的特定方面,而不是连续的轨迹质量.
研究的目的:
- 为USVs开发一种全新的全球路径规划方法,以确保持续的路径平稳.
- 通过将Bézier曲线与快速探索随机树 (RRT) 路径集成来提高导航质量.
- 为了减少路径规划的时间复杂性,而不影响路径可行性.
主要方法:
- 应用Bézier曲线,其中控制多边形由RRT路径定义,避免多目标配方.
- 引入了一个控制点减少方法来减少计算时间.
- 在各种地图大小中评估了方法,以评估性能.
主要成果:
- 在USV导航的路径平滑方面取得了显著的改进.
- 在多个地图大小中证明了拟议方法的有效性.
- 控制点缩小方法成功降低了时间复杂度.
结论:
- 拟议的方法为USVs的全球路径规划提供了更有效的方法.
- 通过将Bézier曲线与RRT生成的路径集成,可以增强连续路径的光滑性.
- 该技术提供了一个计算效率高的解决方案,使自主导航顺利运行.
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