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Obstacle Detection from IPM and Super-Homography

Abstract : We present in this article a simple method to estimate an IPM view from an embedded camera. The method is based on the tracking of the road markers assuming that the road is locally planar. Our aim is the development of a free-space estimator which can be implemented in an Autonomous Guided Vehicle to allow a safe path planning. Opposite to most of the obstacle detection methods which make assumptions on the shape or height of the obstacles, all the scene elements above the road plane (particularly kerbs and poles) have to be detected as obstacles. Combined with the IPM tranformation, this obstacle detection stage can be viewed as the first stage of a free-space estimator dedicated to AGV in the complex urban environments.
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Contributor : Nicolas Simond <>
Submitted on : Friday, July 27, 2007 - 3:24:45 PM
Last modification on : Friday, May 25, 2018 - 12:02:03 PM
Long-term archiving on: : Tuesday, September 21, 2010 - 1:12:07 PM


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  • HAL Id : inria-00141922, version 2



Nicolas Simond. Obstacle Detection from IPM and Super-Homography. IEEE IROS 2007 / International Conference on Intelligent Robots and Systems, IEEE Intelligent Robots and Systems, Oct 2007, San Diego, California / USA, United States. ⟨inria-00141922v2⟩



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