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16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04)
Towards Real-Time Obstacle Detection Using a Hierarchical Decomposition Methodology for Stereo Matching with a Genetic Algorithm
Boca Raton, Florida
November 15-November 17
ISBN: 0-7695-2236-X
ASCII Text
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Y. Ruichek, H. Issa, J. G. Postaire, J. C. Burie, "Towards Real-Time Obstacle Detection Using a Hierarchical Decomposition Methodology for Stereo Matching with a Genetic Algorithm," Tools with Artificial Intelligence, IEEE International Conference on, pp. 138-147, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICTAI.2004.116,
author = {Y. Ruichek and H. Issa and J. G. Postaire and J. C. Burie},
title = {Towards Real-Time Obstacle Detection Using a Hierarchical Decomposition Methodology for Stereo Matching with a Genetic Algorithm},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2004},
issn = {1082-3409},
pages = {138-147},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2004.116},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Towards Real-Time Obstacle Detection Using a Hierarchical Decomposition Methodology for Stereo Matching with a Genetic Algorithm
SN - 1082-3409
SP138
EP147
A1 - Y. Ruichek,
A1 - H. Issa,
A1 - J. G. Postaire,
A1 - J. C. Burie,
PY - 2004
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Y. Ruichek, University of Technology of Belfort-Montb?liard
H. Issa, University of Sciences and Technologies of Lille
J. G. Postaire, University of Sciences and Technologies of Lille
J. C. Burie, University of La Rochelle
This paper is concerned with the stereo matching problem for real-time obstacle detection. The correspondence problem is viewed as an optimization task where the objective is to find a solution for which the matches are as compatible as possible with respect to specific constraints. The optimization process is performed by means of a genetic algorithm with a new encoding scheme. For an effective exploitation of the genetic algorithm for real-time obstacle detection, a multilevel searching strategy is proposed in order to speed-up the stereo matching process. The multilevel searching strategy consists of matching the edges at different levels by considering their gradient magnitudes. The performance of the proposed multilevel genetic stereo matching procedure is evaluated for real-time obstacle detection in front of a moving vehicle using linear stereo vision.
Citation:
Y. Ruichek, H. Issa, J. G. Postaire, J. C. Burie, "Towards Real-Time Obstacle Detection Using a Hierarchical Decomposition Methodology for Stereo Matching with a Genetic Algorithm," ictai, pp.138-147, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004
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