基于视觉的现场建筑垃圾定位使用无人驾驶飞行器
Zeli Wang1, Xincong Yang2, Xianghan Zheng3
1Department of Management Science and Engineering, East China University of Science and Technology, Shanghai 200030, China.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
这项研究引入了一种基于无人机的新型系统,用于识别和定位建筑垃圾,提高回收效率. 这种新方法可以提高计算机视觉对小目标和高频细节的准确性,从而提高整体性能.
科学领域:
- 环境科学 环境科学
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
背景情况:
- 建筑和拆除废弃物 (CDW) 在环境污染方面发挥着重要作用.
- 现有的使用机器人的自动化回收方法受到速度和检测范围的限制.
- 目前的建筑垃圾识别技术对于无人机 (UAV) 无效,缺乏准确的坐标转换.
研究的目的:
- 开发一种使用无人机进行自主建筑废弃物定位的高效方法.
- 提高建筑垃圾管理和回收利用的效率.
- 解决CDW识别和本地化现有技术的局限性.
主要方法:
- 开发用于无人机图像的高精度,远程建筑垃圾识别算法.
- 为建筑垃圾创建一个专门的图像数据集.
- 实施一种新的方法,将像素坐标从图像转换为现实世界的坐标.
主要成果:
- 拟议的方法显著提高了计算机视觉算法对小目标和高频细节的可辨率.
- 通过使用高分辨率无人机图像,实现了大约2%的准确度和回忆力,用于建筑垃圾定位.
- 在速度高达每秒28 (fps) 的情况下,已证明有效运行.
结论:
- 开发的基于无人机的系统为建筑垃圾管理提供了有效的解决方案.
- 该方法可以准确地定位建筑垃圾,促进改进的回收过程.
- 这项技术通过加强废物管理,支持建筑行业的更广泛的绿色发展.
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