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Titre: FPGA design of a real-time obstacle detection system using stereovision
Auteur(s): Bendaoudi, Hamza
Khouas, Abdelhakim
Cherki, Brahim
Mots-clés: obstacle detection system
FPGA design
Date de publication: 2012
Editeur: IEEE
Collection/Numéro: 24th International Conference on Microelectronics (ICM);PP.1-5
Résumé: Obstacle detection using stereovision is an important issue in intelligent vehicle and robot navigation, especially for the Advanced Driver Assistance Systems. This paper presents real-time obstacle detection system designed and implemented on single Field Programmable Gate Array (FPGA). The proposed hardware architecture combines stereo vision algorithms to compute the disparity map, V-disparity image, and Hough transform for obstacle detection. Considering the particular aspect of the V-disparity image and the real-time constraint, the Hough transform is only applied to detect the obstacles corresponding lines. The proposed system was tested in indoor environment using Virtex-II FPGA based prototyping board. For 640×480 pixels images, the proposed system can treat up to 180 frames/s when running at full rate, with a minimum detection time of 5.5 ms
URI/URL: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/3008
ISSN: 978-1-4673-5292-5/12
Collection(s) :Communications Internationales

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