机器人手臂的振动位置检测基于3D立体雷达的特征提取
Jinchao Hu1, Xiaobin Xu1, Chenfei Cao1
1College of Mechanical and Electrical Engineering, Hohai University, Changzhou 213200, China.
Sensors (Basel, Switzerland)
|October 26, 2024
概括
本研究介绍了一种使用3D激光雷达点云的自动化方法,用于检测施工期间的混凝土振动位置. 与基于图像的技术相比,这种方法提供了更好的光干扰阻力和更低的计算成本.
科学领域:
- 建筑工程工程 建筑工程
- 机器人和自动化 机器人和自动化
- 地理空间数据处理.
背景情况:
- 精确的混凝土振动放置对于钢筋结构至关重要.
- 现有的基于图像的检测振动点的方法受到光干扰和高计算需求的影响.
- 需要一个强大的,自动化的解决方案来精确监控建筑.
研究的目的:
- 开发一种使用3D激光雷达点云的自动振动位置检测方法.
- 与传统方法相比,提高准确性和降低计算负载.
- 为了提高混凝土振动和造点识别在建筑中的可靠性.
主要方法:
- 使用3D激光雷达扫描获取当地的钢条点云.
- 通过正常分布转换 (NDT) 和代最接近点 (ICP) 进行点云注册,通过基于图形的优化 (g2o) 进行细化.
- 将3D点云投射到2D图像中,使用图像处理来识别最终点位置.
主要成果:
- 拟议的方法在独立的ICP和NDT算法上表现出优越的性能.
- 平均平方误差 (MSE) 的显著降低,为11.5% (NDT) 和11.37% (ICP).
- 精确识别混凝土振动和造点,最大差异分别为0.059 ± 0.031米和0.089 ± 0.0493米.
结论:
- 基于3D立体雷达点云的方法为自动振动位置检测提供了强大而准确的解决方案.
- 该技术提供了更好的抗干扰性能,可以应对光变化,并降低了计算成本.
- 取得的精度符合在建筑中有效检测混凝土振动的严格要求.
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