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This paper aims at demonstrating the usefulness of integrating virtual 3D models in vehicle localization systems. Usually, vehicle localization algorithms are based on multi-sensor data fusion. Global Navigation Satellite Systems GNSS, as Global Positioning System GPS, are used to provide measurements of the geographic location. Nevertheless, GNSS solutions suffer from signal attenuation and masking,...
This paper presents alternative strategy for vehicles localization in urban areas when GPS data are unavailable or have a poor quality due to multi-paths, satellites bad visibility or masks. The presented methods rely on approaches that take profit of a new source of information, which is a virtual 3D city model. The virtual 3D model is used to simulate sensors data such as data from a camera or a...
This paper tackles the problem of vehicle's geo-localisation in urban areas. For this purpose, global positioning system (GPS) receiver is the main sensor. But the use of GPS alone is not sufficient in many urban environments. GPS has so to be helped with dead-reckoned sensors, map data, cameras, range finder ... In this paper, we propose a novel approach to compute observation of the absolute pose...
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