Vehicle Attitude Estimation in Adverse Weather Conditions using a Camera, a GPS and a 3D road Map

Rachid Belaroussi (1) , Jean Philippe Tarel (1) , Nicolas Hautiere (1)

1 IFSTTAR/LEPSIS - Laboratoire Exploitation, Perception, Simulateurs et Simulations

We investigate the scenario of a vehicle equipped with a camera and a GPS driving on a road whose 3D map is known. We focus on the case of a road under fog or/and snow conditions. The GPS is used to estimate the vehicle pose andyaw and then the 3D road map is projected on to the camera image. The vehicle pitch and roll angles are then refined by fitting the projected road to detected road markings. Finally,we discuss the pros and cons of the obtained road registrations in the images and of the vehicle pitch-roll estimates, with respect to the vehicle dynamics and the driving environment, in adverse weather conditions.

Mots clés: BROUILLARD; NUIT; AIDE A LA CONDUITE; CAMERA; GPS; TRAITEMENT DES IMAGES; VISIBILITE

Domaines: Traitement des images [eess.IV]

Rachid Belaroussi, Jean Philippe Tarel, Nicolas Hautiere. Vehicle Attitude Estimation in Adverse Weather Conditions using a Camera, a GPS and a 3D road Map. IV'11 - IEEE Intelligent Vehicles Symposium, Jun 2011, Germany. 6p. ⟨hal-00876962⟩