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Fast and automatic city-scale environment modeling for an accurate 6DOF vehicle localization

Dorra Larnaout 1 Vincent Gay-Bellile 1 Steve Bourgeois 1 Benjamin Labbé 1 Michel Dhome 2 
1 LVIC - Laboratoire Vision et Ingénierie des Contenus
DIASI - Département Intelligence Ambiante et Systèmes Interactifs : DRT/LIST/DIASI
Abstract : 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 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. The resulting databases can then be used during a localization algorithm for high quality Augmented Reality experiences.
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Dorra Larnaout, Vincent Gay-Bellile, Steve Bourgeois, Benjamin Labbé, Michel Dhome. Fast and automatic city-scale environment modeling for an accurate 6DOF vehicle localization. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Oct 2013, Adelaide, Australia. ⟨10.1109/ISMAR.2013.6671797⟩. ⟨cea-01830487⟩



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