EconPapers    
Economics at your fingertips  
 

A Multi-camera Mobile System for Tunnel Inspection

Fatemeh Alidoost (), Gerrit Austen and Michael Hahn
Additional contact information
Fatemeh Alidoost: Hochschule für Technik Stuttgart
Gerrit Austen: Hochschule für Technik Stuttgart
Michael Hahn: Hochschule für Technik Stuttgart

Chapter 13 in iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 2022, pp 211-224 from Springer

Abstract: Abstract The safety, proper maintenance, and renovation of tunnel structures have become a critical problem for urban management in view of the aging of tunnels. Tunnel inspection and inventory are regulated by construction laws and must be carried out at regular intervals. Advances in digitalization and machine vision technologies enable the development of an automated and BIM-based system to collect data from tunnel surfaces. In this study, a tunnel inspection system using vision-based systems and the related principles are introduced to measure the tunnel surfaces efficiently. In addition, the main components and requirements for subsystems are presented, and different challenges in data acquisition and point cloud generation are explained based on investigations during initial experiments.

Keywords: Machine vision; LED; Multi-camera; BIM; 3D models; Photogrammetry (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-92096-8_13

Ordering information: This item can be ordered from
http://www.springer.com/9783030920968

DOI: 10.1007/978-3-030-92096-8_13

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-030-92096-8_13