Paper
14 February 2015 Stereoscopic roadside curb height measurement using V-disparity
Florin Octavian Matu, Iskren Vlaykov, Mikkel Thogersen, Kamal Nasrollahi, Thomas Moeslund
Author Affiliations +
Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 94450F (2015) https://doi.org/10.1117/12.2180562
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Florin Octavian Matu, Iskren Vlaykov, Mikkel Thogersen, Kamal Nasrollahi, and Thomas Moeslund "Stereoscopic roadside curb height measurement using V-disparity", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94450F (14 February 2015); https://doi.org/10.1117/12.2180562
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KEYWORDS
Hough transforms

Roads

Stereo vision systems

Computing systems

Sensors

Machine vision

3D image processing

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