INVESTIGATION ON RIVER STRUCTURE INSPECTION BY UAV GREEN LIDAR

INVESTIGATION ON RIVER STRUCTURE INSPECTION BY UAV GREEN LIDAR
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无人机绿色激光雷达河道结构监测调查

DOI:
10.11532/river.27.0_51
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发表时间:
2021
期刊:
Advances in River Engineering
影响因子:
--
通讯作者:
西山 哲
西山 哲
中科院分区:
--
文献类型:
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作者:
堺 浩一;間野 耕司;橘 菊生;西山 哲

文献摘要

相似文献

无人机绿色激光雷达已经能够以每平方米数百个点的速度获取河道几何形状。作为第一项研究,为了了解水下位置的准确性和重复性,检查在测试池中进行。已证实,无人机绿色激光雷达在水深3米时的定位精度可达10厘米或更低,并且可实现的点密度随着水深的增加而减小。在第二项研究中,无人机绿色激光雷达在一条实际的河流中进行了测量,并检验了一种“可视化”方法,任何人都可以定量地了解河流结构的状态。通过增强高密度点云的表现力,通过叠加两个时期的点云,可以更容易地捕捉到块体的下沉和冲刷情况,并确定块体的变形。从结果来看,无人机绿色激光雷达实现了高效的数据收集,并通过“可视化”方法了解河流的水下状况,这有助于河流管理。
UAV Green LiDAR has enabled to acquire the geometry of river channels with hundreds points per square meter. As the first study, for understanding the positional accuracy and reproducibility in underwater, the examination was conducted at a test pool. It was confirmed that UAV Green LiDAR can measure with a positional accuracy of 10 cm or less up to a water depth of 3 meters, and achievable point density decreased as the water depth increased. In the second study, UAV Green LiDAR measured in an actual river and examined a" visualization" method for anyone to understand quantitatively the state of river structures. By enhancing representation of high-density point cloud, it became easier to capture conditions of subsidence and scouring and to confirm the deformation of the block by overlaying point clouds of two periods. From results, UAV Green LiDAR achieves efficient data gathering and the “visualization” method allows to understand underwater conditions of the river which contributes to river management.