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Zhan D, Yu L, Xiao J, et al. Multi-camera and structured-light vision system (MSVS) for dynamic high-accuracy 3D measurements of railway tunnels. Sensors (Basel). 2015;15(4):8664-84doi: 10.3390/s150408664.
Zhan, D., Yu, L., Xiao, J., & Chen, T. (2015). Multi-camera and structured-light vision system (MSVS) for dynamic high-accuracy 3D measurements of railway tunnels. Sensors (Basel, Switzerland), 15(4), 8664-84. https://doi.org/10.3390/s150408664
Zhan, Dong, et al. "Multi-camera and structured-light vision system (MSVS) for dynamic high-accuracy 3D measurements of railway tunnels." Sensors (Basel, Switzerland) vol. 15,4 (2015): 8664-84. doi: https://doi.org/10.3390/s150408664
Zhan D, Yu L, Xiao J, Chen T. Multi-camera and structured-light vision system (MSVS) for dynamic high-accuracy 3D measurements of railway tunnels. Sensors (Basel). 2015 Apr 14;15(4):8664-84. doi: 10.3390/s150408664. PMID: 25875190; PMCID: PMC4431261.
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Sensors (Basel). 2015 Apr 14;15(4):8664-84. doi: 10.3390/s150408664.

Multi-camera and structured-light vision system (MSVS) for dynamic high-accuracy 3D measurements of railway tunnels.

Sensors (Basel, Switzerland)

Dong Zhan, Long Yu, Jian Xiao, Tanglong Chen

Affiliations

  1. School of Electrical Engineering, Southwest Jiaotong University, Erhuan Road No. 111, Jinniu District, Chengdu 610031, China. [email protected].
  2. School of Electrical Engineering, Southwest Jiaotong University, Erhuan Road No. 111, Jinniu District, Chengdu 610031, China. [email protected].
  3. School of Electrical Engineering, Southwest Jiaotong University, Erhuan Road No. 111, Jinniu District, Chengdu 610031, China. [email protected].
  4. School of Electrical Engineering, Southwest Jiaotong University, Erhuan Road No. 111, Jinniu District, Chengdu 610031, China. [email protected].

PMID: 25875190 PMCID: PMC4431261 DOI: 10.3390/s150408664

Abstract

Railway tunnel 3D clearance inspection is critical to guaranteeing railway operation safety. However, it is a challenge to inspect railway tunnel 3D clearance using a vision system, because both the spatial range and field of view (FOV) of such measurements are quite large. This paper summarizes our work on dynamic railway tunnel 3D clearance inspection based on a multi-camera and structured-light vision system (MSVS). First, the configuration of the MSVS is described. Then, the global calibration for the MSVS is discussed in detail. The onboard vision system is mounted on a dedicated vehicle and is expected to suffer from multiple degrees of freedom vibrations brought about by the running vehicle. Any small vibration can result in substantial measurement errors. In order to overcome this problem, a vehicle motion deviation rectifying method is investigated. Experiments using the vision inspection system are conducted with satisfactory online measurement results.

References

  1. IEEE Trans Pattern Anal Mach Intell. 2004 Jul;26(7):892-9 - PubMed

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