Rail track detection and modelling in mobile laser scanning data

S.J. Oude Elberink; K. Khoshelham; K. Arastounia; D. Díaz Benito

doi:10.5194/isprsannals-II-5-W2-223-2013

Rail track detection and modelling in mobile laser scanning data

S.J. Oude Elberink, K. Khoshelham, K. Arastounia, D. Díaz Benito

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

57 Citations (Scopus)

43 Downloads (Pure)

Abstract

We present a method for detecting and modelling rails in mobile laser scanner data. The detection is based on the properties of the rail tracks and contact wires such as relative height, linearity and relative position with respect to other objects. Points classified as rail track are used in a 3D modelling algorithm. The modelling is done by first fitting a parametric model of a rail piece to the points along each track, and estimating the position and orientation parameters of each piece model. For each position and orientation parameter a smooth low-order Fourier curve is interpolated. Using all interpolated parameters a mesh model of the rail is reconstructed. The method is explained using two areas from a dataset acquired by a LYNX mobile mapping system in a mountainous area. Residuals between railway laser points and 3D models are in the range of 2 cm. It is concluded that a curve fitting algorithm is essential to reliably and accurately model the rail tracks by using the knowledge that railways are following a continuous and smooth path.

Original language	English
Title of host publication	Workshop Laser Scanning 2013
Subtitle of host publication	11-13 November 2013, Antalya, Turkey
Editors	M. Scaioni, R.C. Lindenbergh, S. Oude Elberink, D. Schneider, F. Pirotti
Publisher	International Society for Photogrammetry and Remote Sensing (ISPRS)
Pages	223-228
Number of pages	6
DOIs	https://doi.org/10.5194/isprsannals-II-5-W2-223-2013
Publication status	Published - 2013
Event	ISPRS Workshop Laser Scanning 2013 - Antalya, Turkey Duration: 11 Nov 2013 → 13 Nov 2013 https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/index.html (Full text Open Access proceedings)

Publication series

Name	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publisher	ISPRS
Volume	II-5/W2
ISSN (Print)	2194-9042

Conference

Conference	ISPRS Workshop Laser Scanning 2013
Country/Territory	Turkey
City	Antalya
Period	11/11/13 → 13/11/13
Other	ISPRS Annals Volume II-5/W2
Internet address	https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/index.html (Full text Open Access proceedings)

Keywords

Automation
Classification
Fitting
Interpolation
Markov Chain
MLS
Monte Carlo
Point Cloud
Railway

Access to Document

10.5194/isprsannals-II-5-W2-223-2013Licence: CC BY

OudeElberink2013railFinal published version, 1.82 MBLicence: CC BY

Cite this

Oude Elberink, S. J., Khoshelham, K., Arastounia, K., & Díaz Benito, D. (2013). Rail track detection and modelling in mobile laser scanning data. In M. Scaioni, R. C. Lindenbergh, S. Oude Elberink, D. Schneider, & F. Pirotti (Eds.), Workshop Laser Scanning 2013: 11-13 November 2013, Antalya, Turkey (pp. 223-228). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. II-5/W2). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprsannals-II-5-W2-223-2013

Oude Elberink, S.J. ; Khoshelham, K. ; Arastounia, K. et al. / Rail track detection and modelling in mobile laser scanning data. Workshop Laser Scanning 2013: 11-13 November 2013, Antalya, Turkey. editor / M. Scaioni ; R.C. Lindenbergh ; S. Oude Elberink ; D. Schneider ; F. Pirotti. International Society for Photogrammetry and Remote Sensing (ISPRS), 2013. pp. 223-228 (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences).

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title = "Rail track detection and modelling in mobile laser scanning data",

abstract = "We present a method for detecting and modelling rails in mobile laser scanner data. The detection is based on the properties of the rail tracks and contact wires such as relative height, linearity and relative position with respect to other objects. Points classified as rail track are used in a 3D modelling algorithm. The modelling is done by first fitting a parametric model of a rail piece to the points along each track, and estimating the position and orientation parameters of each piece model. For each position and orientation parameter a smooth low-order Fourier curve is interpolated. Using all interpolated parameters a mesh model of the rail is reconstructed. The method is explained using two areas from a dataset acquired by a LYNX mobile mapping system in a mountainous area. Residuals between railway laser points and 3D models are in the range of 2 cm. It is concluded that a curve fitting algorithm is essential to reliably and accurately model the rail tracks by using the knowledge that railways are following a continuous and smooth path.",

keywords = "Automation, Classification, Fitting, Interpolation, Markov Chain, MLS, Monte Carlo, Point Cloud, Railway",

author = "{Oude Elberink}, S.J. and K. Khoshelham and K. Arastounia and {D{\'i}az Benito}, D.",

year = "2013",

doi = "10.5194/isprsannals-II-5-W2-223-2013",

language = "English",

series = "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",

publisher = "International Society for Photogrammetry and Remote Sensing (ISPRS)",

pages = "223--228",

editor = "M. Scaioni and R.C. Lindenbergh and {Oude Elberink}, S. and D. Schneider and F. Pirotti",

booktitle = "Workshop Laser Scanning 2013",

note = "ISPRS Workshop Laser Scanning 2013 ; Conference date: 11-11-2013 Through 13-11-2013",

url = "https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/index.html",

}

Oude Elberink, SJ, Khoshelham, K, Arastounia, K & Díaz Benito, D 2013, Rail track detection and modelling in mobile laser scanning data. in M Scaioni, RC Lindenbergh, S Oude Elberink, D Schneider & F Pirotti (eds), Workshop Laser Scanning 2013: 11-13 November 2013, Antalya, Turkey. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. II-5/W2, International Society for Photogrammetry and Remote Sensing (ISPRS), pp. 223-228, ISPRS Workshop Laser Scanning 2013, Antalya, Turkey, 11/11/13. https://doi.org/10.5194/isprsannals-II-5-W2-223-2013

Rail track detection and modelling in mobile laser scanning data. / Oude Elberink, S.J.; Khoshelham, K.; Arastounia, K. et al.

Workshop Laser Scanning 2013: 11-13 November 2013, Antalya, Turkey. ed. / M. Scaioni; R.C. Lindenbergh; S. Oude Elberink; D. Schneider; F. Pirotti. International Society for Photogrammetry and Remote Sensing (ISPRS), 2013. p. 223-228 (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. II-5/W2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Rail track detection and modelling in mobile laser scanning data

AU - Oude Elberink, S.J.

AU - Khoshelham, K.

AU - Arastounia, K.

AU - Díaz Benito, D.

PY - 2013

Y1 - 2013

N2 - We present a method for detecting and modelling rails in mobile laser scanner data. The detection is based on the properties of the rail tracks and contact wires such as relative height, linearity and relative position with respect to other objects. Points classified as rail track are used in a 3D modelling algorithm. The modelling is done by first fitting a parametric model of a rail piece to the points along each track, and estimating the position and orientation parameters of each piece model. For each position and orientation parameter a smooth low-order Fourier curve is interpolated. Using all interpolated parameters a mesh model of the rail is reconstructed. The method is explained using two areas from a dataset acquired by a LYNX mobile mapping system in a mountainous area. Residuals between railway laser points and 3D models are in the range of 2 cm. It is concluded that a curve fitting algorithm is essential to reliably and accurately model the rail tracks by using the knowledge that railways are following a continuous and smooth path.

AB - We present a method for detecting and modelling rails in mobile laser scanner data. The detection is based on the properties of the rail tracks and contact wires such as relative height, linearity and relative position with respect to other objects. Points classified as rail track are used in a 3D modelling algorithm. The modelling is done by first fitting a parametric model of a rail piece to the points along each track, and estimating the position and orientation parameters of each piece model. For each position and orientation parameter a smooth low-order Fourier curve is interpolated. Using all interpolated parameters a mesh model of the rail is reconstructed. The method is explained using two areas from a dataset acquired by a LYNX mobile mapping system in a mountainous area. Residuals between railway laser points and 3D models are in the range of 2 cm. It is concluded that a curve fitting algorithm is essential to reliably and accurately model the rail tracks by using the knowledge that railways are following a continuous and smooth path.

KW - Automation

KW - Classification

KW - Fitting

KW - Interpolation

KW - Markov Chain

KW - MLS

KW - Monte Carlo

KW - Point Cloud

KW - Railway

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DO - 10.5194/isprsannals-II-5-W2-223-2013

M3 - Conference contribution

T3 - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

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EP - 228

BT - Workshop Laser Scanning 2013

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A2 - Lindenbergh, R.C.

A2 - Oude Elberink, S.

A2 - Schneider, D.

A2 - Pirotti, F.

PB - International Society for Photogrammetry and Remote Sensing (ISPRS)

T2 - ISPRS Workshop Laser Scanning 2013

Y2 - 11 November 2013 through 13 November 2013

ER -

Oude Elberink SJ, Khoshelham K, Arastounia K, Díaz Benito D. Rail track detection and modelling in mobile laser scanning data. In Scaioni M, Lindenbergh RC, Oude Elberink S, Schneider D, Pirotti F, editors, Workshop Laser Scanning 2013: 11-13 November 2013, Antalya, Turkey. International Society for Photogrammetry and Remote Sensing (ISPRS). 2013. p. 223-228. (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). doi: 10.5194/isprsannals-II-5-W2-223-2013

Rail track detection and modelling in mobile laser scanning data

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Keywords

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