Extraction of block walls from point clouds measured by Mobile Mapping System

To solve the problem of collapsing block walls widely used in Japan, this study proposes a method for extracting block walls using 3D point cloud data measured by the Mobile Mapping System (MMS). Unlike conventional methods, this method identifies block walls based on geometric features without rely...

Full description

Saved in:
Bibliographic Details
Main Authors: Odaka, Taiga, Harada, Hiroki, Otomo, Kei, Ishikawa, Kiichiro
Format: Conference Proceeding
Language:English
Subjects:
Archives & records
Assessments
Building facades
Deep learning
Earthquakes
Environmental risk
Evacuations & rescues
Fences
Geometry
Lasers
Mapping
Methods
Photogrammetry
Roads & highways
Safety measures
Scanners
Seismic hazard
Three dimensional models
Urban areas
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To solve the problem of collapsing block walls widely used in Japan, this study proposes a method for extracting block walls using 3D point cloud data measured by the Mobile Mapping System (MMS). Unlike conventional methods, this method identifies block walls based on geometric features without relying on MMS trajectory data or deep learning inference results. In addition, the computational load is low and manual correction can be minimized. In our experiments, we used point cloud data collected in urban areas in Japan and achieved a precision of 0.750, recall of 0.810, and F-measure of 0.779. The results demonstrate the effectiveness of this method for automatic extraction of block walls and rapid assessment of collapse risk and are expected to contribute to safety measures in areas with high seismic risk.
ISSN:1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLVIII-2-2024-309-2024