Rapid Geometric Evaluation of Transportation Infrastructure Based on a Proposed Low-Cost Portable Mobile Laser Scanning System.
3D reconstruction
data fusion
geometric measurement
low-cost
mobile laser scanning
transportation infrastructure
visualization
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
10 Jan 2024
10 Jan 2024
Historique:
received:
23
11
2023
revised:
29
12
2023
accepted:
03
01
2024
medline:
23
1
2024
pubmed:
23
1
2024
entrez:
23
1
2024
Statut:
epublish
Résumé
Efficient geometric evaluation of roads and tunnels is crucial to traffic management, especially in post-disaster situations. This paper reports on a study of the geometric feature detection method based on multi-sensor mobile laser scanning (MLS) system data. A portable, low-cost system that can be mounted on vehicles and utilizes integrated laser scanning devices was developed. Coordinate systems and timestamps from numerous devices were merged to create 3D point clouds of objects being measured. Feature points reflecting the geometric information of measuring objects were retrieved based on changes in the point cloud's shape, which contributed to measuring the road width, vertical clearance, and tunnel cross section. Self-developed software was used to conduct the measuring procedure, and a real-time online visualized platform was designed to reconstruct 3D models of the measured objects, forming a 3D digital map carrying the obtained geometric information. Finally, a case study was carried out. The measurement results of several representative nodes are discussed here, verifying the robustness of the proposed system. In addition, the main sources of interference are also discussed.
Identifiants
pubmed: 38257517
pii: s24020425
doi: 10.3390/s24020425
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Transportation Science and Technology Project of Jiangsu Province
ID : 2021Y15
Organisme : The Start-up Research Fund of Southeast University
ID : RF1028623149