Reliable GPS positioning in city environment is a key issue actually, signals are prone to multipath, with poor satellite geometry in many streets. Using a 3D urban model to forecast satellite visibility in urban contexts in order to improve GPS localization is the main topic of the present article. A virtual image processing that detects and eliminates possible faulty measurements is the core of this method. This image is generated using the position estimated a priori by the navigation process itself, under road constraints. This position is then updated by measurements to line-of-sight satellites only. This closed-loop real-time processing has shown very first promising full-scale test results.
About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm
S. Peyraud,D. Bétaille,S. Renault,Miguel Ortiz,Florian Mougel,D. Meizel,F. Peyret
Published 2013 in Italian National Conference on Sensors
ABSTRACT
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- Publication year
2013
- Venue
Italian National Conference on Sensors
- Publication date
2013-01-01
- Fields of study
Medicine, Computer Science, Engineering, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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