Construction précise de bases d’amers géo-référencés pour la localisation d’un véhicule en milieu urbain

Abstract

To provide high quality Augmented Reality AR service, accurate 6DoF localization is required. To ensure such accuracy, most of current vision-based solutions rely on an offline large scale modeling of the environment. While existing solutions require expensive equipments and/or a prohibitive computation time, we propose in this paper a complete framework that automatically builds an accurate city scale database of landmarks using only a standard camera, a GPS and GIS Geographic Information System.