A Three Resolution Framework for Reliable Road Obstacle Detection using Stereovision

Mathias Perrollaz; Raphaël Labayrade; Romain Gallen; Didier Aubert

hal-00671212, version 1

A Three Resolution Framework for Reliable Road Obstacle Detection using Stereovision

Mathias Perrollaz () ¹, Raphaël Labayrade ², Romain Gallen ^3, 4, Didier Aubert ³

Machine Vision and Applications (2007)

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.

1: E-MOTION (INRIA Grenoble Rhône-Alpes / LIG Laboratoire d'Informatique de Grenoble)
INRIA – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – CNRS : UMR5217 – Institut polytechnique de Grenoble (Grenoble INP)
2: Département génie civil et batiment (DGCB)
ENTP
3: Laboratoire Exploitation, Perception, Simulateurs et Simulations (IFSTTAR/LEPSIS)
IFSTTAR – Université Paris-Est Marne-la-Vallée (UPEMLV)
4: Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs (IFSTTAR/LIVIC)
IFSTTAR

hal-00671212, version 1
http://hal.inria.fr/hal-00671212
oai:hal.inria.fr:hal-00671212
From: Mathias Perrollaz <>
Submitted on: Thursday, 16 February 2012 19:54:25
Updated on: Friday, 17 February 2012 10:50:29

See detailed view

Associated documents

PDF :

Export

Bibtex EndNote TEI RefWorks

<?xml version="1.0" encoding="UTF-8"?>
<listBibl xmlns="http://www.tei-c.org/ns/1.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML">
<listBibl type="inproceedings"><head>Peer-reviewed conferences/proceedings</head>
<biblStruct type="inproceedings" xml:id="hal-00671212"><analytic>
<author><persName><forename>Mathias</forename><surname>Perrollaz</surname></persName>
<affiliation>
<orgName type="laboratory">INRIA Grenoble Rhône-Alpes / LIG Laboratoire d'Informatique de Grenoble</orgName>
<orgName type="team">E-MOTION</orgName>
<country>FR</country>
<orgName type="institution">INRIA</orgName>
<orgName type="institution">Université Joseph Fourier - Grenoble I</orgName>
<orgName type="institution">Université Pierre-Mendès-France - Grenoble II</orgName>
<orgName type="institution">CNRS : UMR5217</orgName>
<orgName type="institution">Institut polytechnique de Grenoble (Grenoble INP)</orgName>
</affiliation>
</author>
<author><persName><forename>Raphaël</forename><surname>Labayrade</surname></persName>
<affiliation>
<orgName type="laboratory">DGCB</orgName>
<orgName type="team">Département génie civil et batiment</orgName>
<country>FR</country>
<orgName type="institution">ENTP</orgName>
</affiliation>
</author>
<author><persName><forename>Romain</forename><surname>Gallen</surname></persName>
<affiliation>
<orgName type="laboratory">IFSTTAR/LEPSIS</orgName>
<orgName type="team">Laboratoire Exploitation, Perception, Simulateurs et Simulations</orgName>
<country>FR</country>
<orgName type="institution">IFSTTAR</orgName>
<orgName type="institution">Université Paris-Est Marne-la-Vallée (UPEMLV)</orgName>
</affiliation>
<affiliation>
<orgName type="laboratory">IFSTTAR/LIVIC</orgName>
<orgName type="team">Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs</orgName>
<country>FR</country>
<orgName type="institution">IFSTTAR</orgName>
</affiliation>
</author>
<author><persName><forename>Didier</forename><surname>Aubert</surname></persName>
<affiliation>
<orgName type="laboratory">IFSTTAR/LEPSIS</orgName>
<orgName type="team">Laboratoire Exploitation, Perception, Simulateurs et Simulations</orgName>
<country>FR</country>
<orgName type="institution">IFSTTAR</orgName>
<orgName type="institution">Université Paris-Est Marne-la-Vallée (UPEMLV)</orgName>
</affiliation>
</author>
<title type="main" level="a">A Three Resolution Framework for Reliable Road Obstacle Detection using Stereovision</title></analytic><monogr><meeting>Machine Vision and Applications</meeting><imprint><pubPlace><settlement>Tokyo</settlement><country>Japan</country></pubPlace><biblScope type="publicationDate">2007-05-16</biblScope></imprint></monogr><idno type="HALid">http://hal.inria.fr/hal-00671212</idno><idno type="HALFile">http://hal.inria.fr/hal-00671212/PDF/MVA2007-DetectionStereo_Finale.pdf</idno></biblStruct>
</listBibl>
</listBibl>