用无人机安装PTZ摄像头进行缩放辅助覆盖路径规划的模拟框架
Natalia Chacon Rios1, Sabyasachi Mondal1, Antonios Tsourdos1
1Faculty of Engineering and Applied Science, Cranfield University, College Rd., Wharley End, Bedford MK43 0AL, UK.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
本研究引入了一种使用实时摄像头变焦的空中覆盖路径规划方法. 这种方法大大减少了无人驾驶飞行器在不同地形上的飞行时间和路径长度.
科学领域:
- 机器人和自动化 机器人和自动化
- 地理空间分析的研究.
- 空中测量 - 空中测量
背景情况:
- 节能空中覆盖对于无人机任务至关重要,特别是在具有挑战性的丘陵地形上,需要一致的地面分辨率.
- 传统的方法依赖于高度调整,导致高能耗.
- 保持恒定的地面采样距离 (GSD) 对于准确的数据采集至关重要.
研究的目的:
- 为在可变地形上运行的无人机开发一个节能覆盖路径规划 (CPP) 算法.
- 通过使用实时摄像头变焦控制,在没有持续的高度变化的情况下保持恒定的GSD.
- 与传统的基于高度的策略相比,减少飞行时间和路径长度.
主要方法:
- 开发了一种新的CPP算法,集成了一台Pan-Tilt-Zoom (PTZ) 摄像机的实时变焦控制.
- 该算法根据地形高度动态调整相机的焦距,以保持恒定的GSD.
- 无人机高度仅在达到摄像头变焦极限时才能调整.
主要成果:
- 跨不同地形形状的模拟表明,使用基于变焦的CPP,飞行时间和路径长度大幅减少.
- 拟议的方法在能源效率方面明显优于传统的基于高度的覆盖策略.
- 该框架可适应具有有限变焦能力的低成本摄像头系统.
结论:
- 基于变焦的CPP算法为无人机在丘陵地形上的空中覆盖提供了更节能的解决方案.
- 这种方法通过减少能源需求和飞行时间来提高无人机任务的运营可行性.
- 建议进行进一步的研究和现场验证,以探索这项技术的全部潜力.
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