Drive-by infrastructure monitoring: a workflow for rigorous deformation analysis of mobile laser scanning data

This paper presents a practical and efficient workflow for deformation monitoring of transport infrastructure. The authors propose using commercially available mobile laser scanning (MLS) systems to scan civil infrastructure while driving by in a car or rail vehicle. The authors’ processing pipeline corrects for MLS-specific systematic deviations and models deformations from point clouds of two epochs. Following the concept of rigorous deformation analysis, the authors statistically test the deformations for significance. The required point cloud uncertainty may be obtained in two ways. First option is empirically by multiple passes and, secondly, by prediction with a learned stochastic model. The authors apply the method to three retaining structures and evaluate results based on ground truth geodetic surveys. The deviations did not exceed 10 mm, even for complex object surfaces or when traveling at 80 km/h. The authors demonstrate that the method is capable of revealing displacements in the centimeter range without relying on any installations on the structure. The approach shows great potential as a novel, efficient tool for detecting and quantifying defective structures in a road and railway network.

• Record URL:
  • https://doi.org/10.1177/14759217231168997
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14759217
• Supplemental Notes:
  • © The Authors 2023.
• Authors:
  • Kalenjuk, Slaven
  • 0000-0001-9914-9814
  • Lienhart, Werner
  • 0000-0002-2523-4052
• Publication Date: 2024-1

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 94-120
• Serial:
  • Structural Health Monitoring
  • Volume: 23
  • Issue Number: 1
  • Publisher: Sage Publications, Incorporated
  • ISSN: 1475-9217
  • EISSN: 1741-3168
  • Serial URL: http://shm.sagepub.com/

Subject/Index Terms

• TRT Terms: Data analysis; Data collection; Deformation; Infrastructure; Instrumented vehicles; Structural health monitoring
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Railroads;

Filing Info

• Accession Number: 01904314
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 9 2024 9:09AM