Environment perception for vehicle autonomous navigation in urban areas

Sergio Nogueira; Franck Gechter; Yassin Ruichek; Abder Koukam; François Charpillet

inria-00000924, version 1

Environment perception for vehicle autonomous navigation in urban areas

Sergio Nogueira () ^1, 2, Franck Gechter () ², Yassin Ruichek ², Abder Koukam ², François Charpillet () ¹

Biennial Workshop on DSP for In Vehicle and Mobile Systems - 2005 (2005)

Abstract: Since two decades, research programs have studied the concept of ”intelligent vehicles”. The aim is to develop an intelligent transportation system based on a fleet of fully automated cars designed for short trips at low speed in urban areas. This system will offer advantages of high flexibility, efficiently, safety, and thus, will improve the quality of life un our cities (protection of the environment, better management of parking areas, etc.). One of the key functions that a such transportation system must achieve concerns vehicle autonomous navigation. This paper presents our research activities on environment perception for vehicle autonomous navigation using passive and active sensor technologies. We are particulary interested in stereo vision for obstacle detection, line following and landmarks recognition. The developed algorithms are implemented and tested using a fully automated vehicle platform equiped with various sensors.

1: MAIA (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
2: Laboratoire Systèmes et Transports (SET)
Université de Technologie de Belfort-Montbeliard – Institut de Recherche sur les Transports, l'Energie et la Société - IRTES

inria-00000924, version 1
http://hal.inria.fr/inria-00000924
oai:hal.inria.fr:inria-00000924
From: François Charpillet <>
Submitted on: Monday, 12 December 2005 11:05:13
Updated on: Thursday, 4 October 2007 16:33:37

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