Profile Calibration of Dynamically Measuring Rail Wear Using LIS

Chao Wang; Yanfu Li; Dawei Liu; Hongli Liu

doi:10.1007/978-981-10-7989-4_4

Profile Calibration of Dynamically Measuring Rail Wear Using LIS

Chao Wang^*, Yanfu Li, Dawei Liu, Hongli Liu

^*Corresponding author for this work

Department of Computing

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Dynamically inspecting steel rail wear by the laser image system suffers from vibrations on the camera and the laser emitter, which leads to varying extrinsic camera parameters and distorted rail profile, respectively. In the paper, a novel profile calibrating method is presented to address these issues. This method involves a self-calibration of the extrinsic camera parameters, which is based on the coordinate sets projection constructed from the distorted profile to the standard one on quadruple projecting primitives including rail jaw, railhead, rail waist, and foot intersection. To remove the effect of random vibrations, we calibrate distorted profile by projecting it onto the plane x − y of the world coordinate frame. We compared our procedure with other established methods. The results show its effectiveness and superiority for dynamically measuring rail wear.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017 - Transportation
Editors	Limin Jia, Min An, Jianguo Suo, Jianghua Feng, Yong Qin, Lijun Diao
Publisher	Springer Verlag
Pages	37-45
Number of pages	9
ISBN (Print)	9789811079887
DOIs	https://doi.org/10.1007/978-981-10-7989-4_4
Publication status	Published - 2018
Event	3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017 - Changsha, China Duration: 20 Oct 2017 → 22 Oct 2017

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	483
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017
Country/Territory	China
City	Changsha
Period	20/10/17 → 22/10/17

Keywords

Coordinate sets projection
Laser image system
Profile calibration
Rail wear

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10.1007/978-981-10-7989-4_4

Cite this

Wang, C., Li, Y., Liu, D., & Liu, H. (2018). Profile Calibration of Dynamically Measuring Rail Wear Using LIS. In L. Jia, M. An, J. Suo, J. Feng, Y. Qin, & L. Diao (Eds.), Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017 - Transportation (pp. 37-45). (Lecture Notes in Electrical Engineering; Vol. 483). Springer Verlag. https://doi.org/10.1007/978-981-10-7989-4_4

Wang, Chao ; Li, Yanfu ; Liu, Dawei et al. / Profile Calibration of Dynamically Measuring Rail Wear Using LIS. Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017 - Transportation. editor / Limin Jia ; Min An ; Jianguo Suo ; Jianghua Feng ; Yong Qin ; Lijun Diao. Springer Verlag, 2018. pp. 37-45 (Lecture Notes in Electrical Engineering).

@inproceedings{2fe75d7606fe41b9879ba198f273bb60,

title = "Profile Calibration of Dynamically Measuring Rail Wear Using LIS",

abstract = "Dynamically inspecting steel rail wear by the laser image system suffers from vibrations on the camera and the laser emitter, which leads to varying extrinsic camera parameters and distorted rail profile, respectively. In the paper, a novel profile calibrating method is presented to address these issues. This method involves a self-calibration of the extrinsic camera parameters, which is based on the coordinate sets projection constructed from the distorted profile to the standard one on quadruple projecting primitives including rail jaw, railhead, rail waist, and foot intersection. To remove the effect of random vibrations, we calibrate distorted profile by projecting it onto the plane x − y of the world coordinate frame. We compared our procedure with other established methods. The results show its effectiveness and superiority for dynamically measuring rail wear.",

keywords = "Coordinate sets projection, Laser image system, Profile calibration, Rail wear",

author = "Chao Wang and Yanfu Li and Dawei Liu and Hongli Liu",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Singapore Pte Ltd.; 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017 ; Conference date: 20-10-2017 Through 22-10-2017",

year = "2018",

doi = "10.1007/978-981-10-7989-4_4",

language = "English",

isbn = "9789811079887",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "37--45",

editor = "Limin Jia and Min An and Jianguo Suo and Jianghua Feng and Yong Qin and Lijun Diao",

booktitle = "Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017 - Transportation",

}

Wang, C, Li, Y, Liu, D & Liu, H 2018, Profile Calibration of Dynamically Measuring Rail Wear Using LIS. in L Jia, M An, J Suo, J Feng, Y Qin & L Diao (eds), Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017 - Transportation. Lecture Notes in Electrical Engineering, vol. 483, Springer Verlag, pp. 37-45, 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017, Changsha, China, 20/10/17. https://doi.org/10.1007/978-981-10-7989-4_4

Profile Calibration of Dynamically Measuring Rail Wear Using LIS. / Wang, Chao; Li, Yanfu; Liu, Dawei et al.
Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017 - Transportation. ed. / Limin Jia; Min An; Jianguo Suo; Jianghua Feng; Yong Qin; Lijun Diao. Springer Verlag, 2018. p. 37-45 (Lecture Notes in Electrical Engineering; Vol. 483).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Profile Calibration of Dynamically Measuring Rail Wear Using LIS

AU - Wang, Chao

AU - Li, Yanfu

AU - Liu, Dawei

AU - Liu, Hongli

PY - 2018

Y1 - 2018

N2 - Dynamically inspecting steel rail wear by the laser image system suffers from vibrations on the camera and the laser emitter, which leads to varying extrinsic camera parameters and distorted rail profile, respectively. In the paper, a novel profile calibrating method is presented to address these issues. This method involves a self-calibration of the extrinsic camera parameters, which is based on the coordinate sets projection constructed from the distorted profile to the standard one on quadruple projecting primitives including rail jaw, railhead, rail waist, and foot intersection. To remove the effect of random vibrations, we calibrate distorted profile by projecting it onto the plane x − y of the world coordinate frame. We compared our procedure with other established methods. The results show its effectiveness and superiority for dynamically measuring rail wear.

AB - Dynamically inspecting steel rail wear by the laser image system suffers from vibrations on the camera and the laser emitter, which leads to varying extrinsic camera parameters and distorted rail profile, respectively. In the paper, a novel profile calibrating method is presented to address these issues. This method involves a self-calibration of the extrinsic camera parameters, which is based on the coordinate sets projection constructed from the distorted profile to the standard one on quadruple projecting primitives including rail jaw, railhead, rail waist, and foot intersection. To remove the effect of random vibrations, we calibrate distorted profile by projecting it onto the plane x − y of the world coordinate frame. We compared our procedure with other established methods. The results show its effectiveness and superiority for dynamically measuring rail wear.

KW - Coordinate sets projection

KW - Laser image system

KW - Profile calibration

KW - Rail wear

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SN - 9789811079887

T3 - Lecture Notes in Electrical Engineering

SP - 37

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BT - Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017 - Transportation

A2 - Jia, Limin

A2 - An, Min

A2 - Suo, Jianguo

A2 - Feng, Jianghua

A2 - Qin, Yong

A2 - Diao, Lijun

PB - Springer Verlag

T2 - 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017

Y2 - 20 October 2017 through 22 October 2017

ER -

Wang C, Li Y, Liu D, Liu H. Profile Calibration of Dynamically Measuring Rail Wear Using LIS. In Jia L, An M, Suo J, Feng J, Qin Y, Diao L, editors, Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2017 - Transportation. Springer Verlag. 2018. p. 37-45. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-10-7989-4_4

Profile Calibration of Dynamically Measuring Rail Wear Using LIS

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