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Computer graphics / Imaging / Segmentation / Signal processing / Watershed / Morphological gradient / Lane / Road surface marking / Image processing / Mathematical morphology / Digital geometry


ROAD RECOGNITION IN COMPLEX TRAFFIC SITUATIONS S. BEUCHER*, X. YU** *Ecole des Mines de Paris, Centre de Morphologie Mathématique, Fontainebleau, France **Ecole des Mines de Paris, Centre de CAO-Robotique, Paris, France
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Document Date: 2000-06-27 11:49:36


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City

Fontainebleau / Springer-Verlag / New York / Tianjin / Paris / /

Company

Marcel Dekker Inc. / Renault / /

Country

China / /

IndustryTerm

on-board image processor / traffic networks / inboard image processor / car position / real-time image processor / car demonstrator / segmentation algorithm / real-time performance / obstacle detection algorithms / morphological segmentation tool / car manufacturers / real-time on-board image processor / real-time morphological processor / level technologies / /

Organization

ASIC / Center of Mathematical Morphology / Centre de Morphologie Mathématique / /

Position

driver / supervisor / representative / /

ProvinceOrState

New York / /

Technology

high level technologies / ASIC / real-time morphological processor / inboard image processor / machine vision / real-time image processor / real-time on-board image processor / segmentation algorithm / existing algorithms / on-board image processor / obstacle detection algorithms / eight PIMM1 chips / Image Processing / two algorithms / integrated circuit / /

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