Laboratoire d’Analyse et d’Architecture des Systèmes
T.GERMA, F.LERASLE, N.OUADAH, V.CADENAT
RAP, CDTA d'Alger
Revue Scientifique : Computer Vision and Image Understanding, Vol.114, N°6, pp.641-654, Juin 2010 , N° 10612
Diffusable
122774T.GERMA, F.LERASLE, N.OUADAH, V.CADENAT, C.LEMAIRE
CDTA d'Alger, RAP, 2I
Manifestation avec acte : Reconnaissance des Formes et Intelligence Artificielle (RFIA 2010), Caen (France), 18-22 Janvier 2010, 8p. , N° 10200
Diffusable
121139T.GERMA, F.LERASLE, N.OUADAH, V.CADENAT, M.DEVY
RAP, CDTA d'Alger
Manifestation avec acte : International Conference on Intelligent Robots and Systems (IROS 2009), Saint Louis (Etats-Unis), 11-15 Octobre 2009, pp.5591-5596 , N° 09623
Diffusable
119333N.OUADAH, V.CADENAT, F.BOUDJEMA, M.HAMERLAIN
CDTA d'Alger, RAP, ENSP
Manifestation avec acte : 4th European Conference on Mobile Robots (ECMR 2009), Mlini/Dubrovnick (Croatie), 23-25 Septembre 2009, pp.155-160 , N° 09382
Diffusable
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A.DURAND PETITEVILLE, M.COURDESSES, V.CADENAT
RAP
Manifestation avec acte : 9th International Workshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2009), Mondragon (Espagne), 8-10 Juillet 2009, 6p. , N° 09385
Diffusable
118800D.FOLIO, V.CADENAT
RAP
Ouvrage (contribution) : Computer Vision, Edited by: Xiong Zhihui; IN-TECH; 538p., N°ISBN 978-953-7619-21-3, Novembre 2008, Chapitre 4, pp.45-70 , N° 08429
Diffusable
115836D.FOLIO, V.CADENAT
RAP
Manifestation avec acte : IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), Nice (France), 22-26 Septembre 2008, 6p. , N° 08355
Lien : http://hal.archives-ouvertes.fr/hal-00603686/fr/
Diffusable
Plus d'informations
This paper deal with the problem of executing a vision-based task in an unknown environment. During such a task, two unexpected events may occur: the image data loss due to a camera occlusion and the robot collision with obstacles. We first propose a method allowing to compute the visual data when they are totally lost, before addressing the obstacle avoidance problem. Then, we design a sensor-based control strategy to perform safely vision-based tasks despite complete loss of the image. Simulation and experimental results validate our work.
D.FOLIO, V.CADENAT
RAP
Revue Scientifique : International Journal of Optomechatronics, Vol.2, N°3, pp.185-204, Juillet 2008 , N° 07501
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In this article, we address the problem of computing the image features when they become temporarily unavailable during a vision-based navigation task. The method consists in analytically integrating the relation between the visual features motion in the image and the camera motion. Then, we use this approach to design sensor-based control laws that are able to tolerate the complete loss of the visual data during a vision-based navigation task in an unknown environment. Simulation and experimentation results demonstrate the validity and the interest of our method.
D.FOLIO, V.CADENAT
RAP
Manifestation avec acte : European Control Conference (ECC'07), Kos (Grèce), 2-5 Juillet 2007, pp.1448-1454 , N° 06683
Diffusable
110747D.FOLIO, V.CADENAT
RAP
Manifestation avec acte : 8th International Workshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2007) & Doctoral School (EDSYS, GEET), Liberec (République Tchèque), 21-23 Mai 2007, 6p. , N° 07332
Diffusable
110767