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 proceedingArticle in proceedingResearchpeer-review

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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 languageEnglish
Title of host publicationProceedings from SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014)
EditorsAntanas Verikas, Branislav Vuksanovic, Petia Radeva, Jianhong Zhou
Number of pages5
PublisherSPIE - International Society for Optical Engineering
Publication date19 Nov 2014
Publication statusPublished - 19 Nov 2014
EventInternational Conference on Machine Vision - Milan, Italy
Duration: 19 Nov 201421 Nov 2014
Conference number: 7th


ConferenceInternational Conference on Machine Vision
SeriesProceedings of SPIE, the International Society for Optical Engineering


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