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Proceedings Paper

Stereoscopic roadside curb height measurement using V-disparity
Author(s): Florin Octavian Matu; Iskren Vlaykov; Mikkel Thogersen; Kamal Nasrollahi; Thomas Moeslund
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Paper 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.

Paper Details

Date Published: 14 February 2015
PDF: 5 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94450F (14 February 2015); doi: 10.1117/12.2180562
Show Author Affiliations
Florin Octavian Matu, Aalborg Univ. (Denmark)
Iskren Vlaykov, Aalborg Univ. (Denmark)
Mikkel Thogersen, Aalborg Univ. (Denmark)
Kamal Nasrollahi, Aalborg Univ. (Denmark)
Thomas Moeslund, Aalborg Univ. (Denmark)


Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)

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