Obstacles detection and localisation with 3D geographical model and monovision

Cindy Cappelle; Maan El Badaoui El Najjar; François Charpillet; Denis Pomorski

inria-00332460, version 1

Obstacles detection and localisation with 3D geographical model and monovision

Cindy Cappelle () ¹, Maan El Badaoui El Najjar ()^a^, 1, 2, François Charpillet () ², Denis Pomorski ()^a^, 1

IEEE Intelligent Transportation Systems Conference - ITSC'07 (2007) 1102-1107

Abstract: In this paper, an obstacle detection approach for downtown environments is developed. This approach exploits a 3D geographical database managed by a 3D-GIS and a monovision-based system. The pose estimated by a LRK GPS is used to geo-localise the vehicle. After coordinates system conversion, the vehicle is localised in the 3D geographical database. An image processing module is developed to match synchronized images provided by 3D GIS and an on-board camera. Several kinds of obstacles are then detected and tracked by comparison between real images and virtual images. Finally, the distance between the camera and the obstacles is computed, as well as the geo-position of the detected obstacles. Experimental results with real data are presented in the final section.

a – Université des Sciences et Technologies de Lille - Lille I
1: Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS)
CNRS : UMR8146 – Université Lille I - Sciences et technologies – Ecole Centrale de Lille
2: MAIA (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)

inria-00332460, version 1
http://hal.inria.fr/inria-00332460
oai:hal.inria.fr:inria-00332460
From: Cindy Cappelle <>
Submitted on: Tuesday, 21 October 2008 09:45:57
Updated on: Tuesday, 6 March 2012 14:00:06

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