Stereoscopic Roadside Curb Height Measurement using V-Disparity

Florin-Octavian Matu; Iskren Vlaykov; Mikkel Thøgersen; Kamal Nasrollahi; Thomas B. Moeslund

doi:10.1117/12.2180562

Stereoscopic Roadside Curb Height Measurement using V-Disparity

Florin-Octavian Matu, Iskren Vlaykov, Mikkel Thøgersen, Kamal Nasrollahi, Thomas B. Moeslund

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Abstract

Managing road assets, such as roadside curbs, is one of the interests of municipalities. As an interesting application of computer vision, this paper proposes a system for automated measurement of the height of the roadside curbs. The developed system uses the spatial information available in the disparity image obtained from a stereo setup. Data about the geometry of the scene is extracted in the form of a row-wise histogram of the disparity map. From parameterizing the two strongest lines, each pixel can be labeled as belonging to one plane, either ground, sidewalk or curb candidates. Experimental results show that the system can measure the height of the roadside curb with good accuracy and precision.

Original language	English
Title of host publication	Proceedings from SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014)
Editors	Antanas Verikas, Branislav Vuksanovic, Petia Radeva, Jianhong Zhou
Number of pages	5
Publisher	SPIE - International Society for Optical Engineering
Publication date	19 Nov 2014
DOIs	https://doi.org/10.1117/12.2180562
Publication status	Published - 19 Nov 2014
Event	International Conference on Machine Vision - Milan, Italy Duration: 19 Nov 2014 → 21 Nov 2014 Conference number: 7th

Conference

Conference	International Conference on Machine Vision
Number	7th
Country/Territory	Italy
City	Milan
Period	19/11/2014 → 21/11/2014

Series	Proceedings of SPIE, the International Society for Optical Engineering
Volume	9554
ISSN	0277-786X

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Matu, F.-O., Vlaykov, I., Thøgersen, M., Nasrollahi, K., & Moeslund, T. B. (2014). Stereoscopic Roadside Curb Height Measurement using V-Disparity. In A. Verikas, B. Vuksanovic, P. Radeva, & J. Zhou (Eds.), Proceedings from SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014) SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2180562

Matu, Florin-Octavian ; Vlaykov, Iskren ; Thøgersen, Mikkel et al. / Stereoscopic Roadside Curb Height Measurement using V-Disparity. Proceedings from SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014). editor / Antanas Verikas ; Branislav Vuksanovic ; Petia Radeva ; Jianhong Zhou. SPIE - International Society for Optical Engineering, 2014. (Proceedings of SPIE, the International Society for Optical Engineering, Vol. 9554).

@inproceedings{e00186745e9b4f97b53307bf36b25a66,

title = "Stereoscopic Roadside Curb Height Measurement using V-Disparity",

abstract = "Managing road assets, such as roadside curbs, is one of the interests of municipalities. As an interesting application of computer vision, this paper proposes a system for automated measurement of the height of the roadside curbs. The developed system uses the spatial information available in the disparity image obtained from a stereo setup. Data about the geometry of the scene is extracted in the form of a row-wise histogram of the disparity map. From parameterizing the two strongest lines, each pixel can be labeled as belonging to one plane, either ground, sidewalk or curb candidates. Experimental results show that the system can measure the height of the roadside curb with good accuracy and precision.",

author = "Florin-Octavian Matu and Iskren Vlaykov and Mikkel Th{\o}gersen and Kamal Nasrollahi and Moeslund, {Thomas B.}",

year = "2014",

month = nov,

day = "19",

doi = "10.1117/12.2180562",

language = "English",

series = "Proceedings of SPIE, the International Society for Optical Engineering",

publisher = "SPIE - International Society for Optical Engineering",

editor = "Antanas Verikas and Branislav Vuksanovic and Petia Radeva and Jianhong Zhou",

booktitle = "Proceedings from SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014)",

address = "United States",

note = "International Conference on Machine Vision, ICMV ; Conference date: 19-11-2014 Through 21-11-2014",

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Matu, F-O, Vlaykov, I, Thøgersen, M, Nasrollahi, K & Moeslund, TB 2014, Stereoscopic Roadside Curb Height Measurement using V-Disparity. in A Verikas, B Vuksanovic, P Radeva & J Zhou (eds), Proceedings from SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014). SPIE - International Society for Optical Engineering, Proceedings of SPIE, the International Society for Optical Engineering, vol. 9554, International Conference on Machine Vision, Milan, Italy, 19/11/2014. https://doi.org/10.1117/12.2180562

Stereoscopic Roadside Curb Height Measurement using V-Disparity. / Matu, Florin-Octavian; Vlaykov, Iskren; Thøgersen, Mikkel et al.
Proceedings from SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014). ed. / Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou. SPIE - International Society for Optical Engineering, 2014. (Proceedings of SPIE, the International Society for Optical Engineering, Vol. 9554).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Stereoscopic Roadside Curb Height Measurement using V-Disparity

AU - Matu, Florin-Octavian

AU - Vlaykov, Iskren

AU - Thøgersen, Mikkel

AU - Nasrollahi, Kamal

AU - Moeslund, Thomas B.

N1 - Conference code: 7th

PY - 2014/11/19

Y1 - 2014/11/19

N2 - Managing road assets, such as roadside curbs, is one of the interests of municipalities. As an interesting application of computer vision, this paper proposes a system for automated measurement of the height of the roadside curbs. The developed system uses the spatial information available in the disparity image obtained from a stereo setup. Data about the geometry of the scene is extracted in the form of a row-wise histogram of the disparity map. From parameterizing the two strongest lines, each pixel can be labeled as belonging to one plane, either ground, sidewalk or curb candidates. Experimental results show that the system can measure the height of the roadside curb with good accuracy and precision.

AB - Managing road assets, such as roadside curbs, is one of the interests of municipalities. As an interesting application of computer vision, this paper proposes a system for automated measurement of the height of the roadside curbs. The developed system uses the spatial information available in the disparity image obtained from a stereo setup. Data about the geometry of the scene is extracted in the form of a row-wise histogram of the disparity map. From parameterizing the two strongest lines, each pixel can be labeled as belonging to one plane, either ground, sidewalk or curb candidates. Experimental results show that the system can measure the height of the roadside curb with good accuracy and precision.

U2 - 10.1117/12.2180562

DO - 10.1117/12.2180562

M3 - Article in proceeding

T3 - Proceedings of SPIE, the International Society for Optical Engineering

BT - Proceedings from SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014)

A2 - Verikas, Antanas

A2 - Vuksanovic, Branislav

A2 - Radeva, Petia

A2 - Zhou, Jianhong

PB - SPIE - International Society for Optical Engineering

T2 - International Conference on Machine Vision

Y2 - 19 November 2014 through 21 November 2014

ER -

Matu FO, Vlaykov I, Thøgersen M, Nasrollahi K , Moeslund TB. Stereoscopic Roadside Curb Height Measurement using V-Disparity. In Verikas A, Vuksanovic B, Radeva P, Zhou J, editors, Proceedings from SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014). SPIE - International Society for Optical Engineering. 2014. (Proceedings of SPIE, the International Society for Optical Engineering, Vol. 9554). doi: 10.1117/12.2180562

Stereoscopic Roadside Curb Height Measurement using V-Disparity

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