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

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.

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Source IV'11 - IEEE Intelligent Vehicles Symposium
Author Belaroussi, Rachid, Tarel, Jean Philippe, Hautiere, Nicolas
Maintainer CCSD
Last Updated May 9, 2026, 06:12 (UTC)
Created May 9, 2026, 06:12 (UTC)
Identifier hal-00876962
Language en
contributor Laboratoire Exploitation, Perception, Simulateurs et Simulations (IFSTTAR/LEPSIS) ; Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Paris-Est Marne-la-Vallée (UPEM)
creator Belaroussi, Rachid
date 2011-06-05T00:00:00
harvest_object_id 68208cb0-ca68-4b4e-bc76-9668d21720d2
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-12-03T00:00:00
set_spec type:COMM