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A Three Resolution Framework for Reliable Road Obstacle Detection using Stereovision

Abstract : Many approaches have been proposed for in-vehicle obstacle detection using stereovision. Unfortunately, computation cost is generally a limiting factor for all these methods, especially for systems using large base-lines, as they need to explore a wide range of disparities. Considering this point, we propose a reliable three resolution framework, designed for real time operation, even with high resolution images and a large baseline.
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https://hal.inria.fr/hal-00671212
Contributor : Mathias Perrollaz <>
Submitted on : Thursday, February 16, 2012 - 7:54:25 PM
Last modification on : Friday, July 3, 2020 - 9:45:37 AM
Document(s) archivé(s) le : Thursday, June 14, 2012 - 4:36:35 PM

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  • HAL Id : hal-00671212, version 1

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Mathias Perrollaz, Raphaël Labayrade, Romain Gallen, Didier Aubert. A Three Resolution Framework for Reliable Road Obstacle Detection using Stereovision. Machine Vision and Applications, May 2007, Tokyo, Japan. ⟨hal-00671212⟩

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