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Stereovision-based 3D obstacle detection for automotive safety driving assistance

Abstract : This paper describes the implementation of a real-time architecture dedicated to obstacle detection in the automotive domain, and more particularly to pre-crash situations. The method, based on stereovision, is of high complexity and can not run in real-time on standard processors. Therefore, the application is accelerated with the use of special purpose hardware; in particular, a highly parallelized disparity engine is presented. A prototype board was built, which achieves a performance of 460 GOPS and computes the application at the rate of 22 frames per second, thus reaching road safety constraints.
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https://hal-cea.archives-ouvertes.fr/cea-00407474
Contributor : Nicolas Ventroux <>
Submitted on : Friday, July 24, 2009 - 5:28:32 PM
Last modification on : Friday, September 11, 2015 - 9:55:25 AM

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  • HAL Id : cea-00407474, version 1

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Nicolas Ventroux, Renaud Schmit, Frédéric Pasquet, Pierre-Emmanuel Viel, Stéphane Guyetant. Stereovision-based 3D obstacle detection for automotive safety driving assistance. 12th International IEEE Conference on Intelligent Transportation Systems, 2009. ⟨cea-00407474⟩

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