TY - GEN
T1 - River Levees Monitoring Using Three Dimensional Laser Point Clouds with SLAM Technology
AU - Akiyama, Nanoka
AU - Nishiyama, Satoshi
AU - Sakita, Koki
AU - Song, Junsheng
AU - Yamazaki, Fumiaki
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Drone
KW - River inspections
KW - SLAM
KW - Three-dimensional laser point group
UR - http://www.scopus.com/inward/record.url?scp=85120777620&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85120777620&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-79798-0_2
DO - 10.1007/978-3-030-79798-0_2
M3 - Conference contribution
AN - SCOPUS:85120777620
SN - 9783030797973
T3 - Sustainable Civil Infrastructures
SP - 14
EP - 22
BT - Advancements in Geotechnical Engineering - Proceedings of the 6th GeoChina International Conference on Civil and Transportation Infrastructures
A2 - Weng, Meng-Chia
A2 - Kawamura, Shima
A2 - Ding, Jianwen
PB - Springer Science and Business Media B.V.
T2 - 6th GeoChina International Conference on Civil and Transportation Infrastructures: From Engineering to Smart and Green Life Cycle Solutions, GeoChina 2021
Y2 - 19 July 2021 through 21 July 2021
ER -