Using road constraints to progress in real-time NLOS detection

David Betaille (1) , Sébastien Peyraud (2) , Florian Mougel (3) , Stéphane Renault (2) , Miguel Ortiz (1) , Dominique Meizel (2) , François Peyret (1)

1 IFSTTAR/COSYS/GEOLOC - Géolocalisation
2 XLIM-MECATRONIQUE - MECATRONIQUE
3 IFSTTAR/MACS - Département Mesure, Auscultation et Calcul Scientifique

Using a 3D urban model to forecast satellites visibility in urban contexts in order to monitor GPS localization is the main topic of the present article. A virtual image processing is at the core of this method. A preliminary proof of concept has been presented in IEEE ITST 2011, where the theoretically visible satellites were computed with respect to the true position of the vehicle computed off-line from the data of a much more sophisticated equipment. This article addresses now the closed-loop real-time processing of the method, i.e. using the position estimated by the navigation process itself.

David Betaille, Sébastien Peyraud, Florian Mougel, Stéphane Renault, Miguel Ortiz, et al.. Using road constraints to progress in real-time NLOS detection. Workshop Navigation, Perception, Accurate Positioning and Mapping for Intelligent Vehicles, Jun 2012, Alcala de Henares, Spain. 6 p. ⟨hal-00918245⟩