Driving in an augmented-city: from fast and automatic large scale environment modeling to on-line 6DOF vehicle localization - CEA - Commissariat à l’énergie atomique et aux énergies alternatives Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Driving in an augmented-city: from fast and automatic large scale environment modeling to on-line 6DOF vehicle localization

Résumé

To provide high quality Augmented Reality service in a car navigation system, accurate 6DoF localization is required. To ensure such accuracy, most of current vision-based solutions rely on an off-line large scale modeling of the environment. Nevertheless, 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 Geographic Information System (GIS). As illustrated in the experiments, only few minutes are required to model large scale environments. Then, a localization algorithm can use the resulting databases for a high quality Augmented Reality experiences
Fichier non déposé

Dates et versions

cea-01830504 , version 1 (05-07-2018)

Identifiants

Citer

Dorra Larnaout, Vincent Gay-Bellile, Steve Bourgeois, Benjamin Labbé, Michel Dhome. Driving in an augmented-city: from fast and automatic large scale environment modeling to on-line 6DOF vehicle localization. ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, Nov 2013, Hong Kong, China. ⟨10.1145/2534329.2534339⟩. ⟨cea-01830504⟩
26 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More