River Levees Monitoring Using Three Dimensional Laser Point Clouds with SLAM Technology

In recent years, record rainfalls have frequently occurred due to global warming, and river patrols and inspections are becoming increasingly important to prevent large-scale disasters such as levee breaks. The purpose of this paper is to introduce an IoT-based surveying method termed Simultaneous Localization and Mapping (SLAM) for river patrols and inspections. SLAM estimates the position of the technology itself and creates an entire map at the same time. Specifically, by performing the river patrols and inspections using SLAM technology with backpack-type LiDAR sensors, we could obtain the three-dimensional coordinate data of the levee at low cost. We have developed a monitoring method to quantitatively identify the locations of river levee deformations. We can obtain a high density of 56.5 million points with the LiDAR and present the accuracy of three-dimensional levee reproducibility using SLAM technology. In this paper, we demonstrate the usefulness of the LiDAR with SLAM technology based on monitoring data.