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Article

GNSS Localization in Constraint Environment by Image Fusing Techniques

1
Communications Department, Faculty of Electronics, Telecommunications and Information Technologies, Politehnica University of Timisoara, 300223 Timisoara, Romania
2
Syntony GNSS, 31300 Toulouse, France
3
Thales Alenia Space, 31037 Toulouse, France
*
Author to whom correspondence should be addressed.
Academic Editor: Marco Piras
Remote Sens. 2021, 13(10), 2021; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13102021
Received: 19 April 2021 / Revised: 10 May 2021 / Accepted: 17 May 2021 / Published: 20 May 2021
(This article belongs to the Special Issue The Future of Remote Sensing: Harnessing the Data Revolution)
Satellite localization often suffers in terms of accuracy due to various reasons. One possible source of errors is represented by the lack of means to eliminate Non-Line-of-Sight satellite-related data. We propose here a method for fusing existing data with new information, extracted by using roof-mounted cameras and adequate image processing algorithms. The roof-mounted camera is used to robustly segment the sky regions. The localization approach can benefit from this new information as it offers a way of excluding the Non-Line-of-Sight satellites. The output of the camera module is a probability map. One can easily decide which satellites should not be used for localization, by manipulating this probability map. Our approach is validated by extensive tests, which demonstrate the improvement of the localization itself (Horizontal Positioning Error reduction) and a moderate degradation of Horizontal Protection Level due to the Dilution of Precision phenomenon, which appears as a consequence of the reduction of the satellites’ number used for localization. View Full-Text
Keywords: GNSS; image; integrity; fusion; segmentation GNSS; image; integrity; fusion; segmentation
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MDPI and ACS Style

David, C.; Nafornita, C.; Gui, V.; Campeanu, A.; Carrie, G.; Monnerat, M. GNSS Localization in Constraint Environment by Image Fusing Techniques. Remote Sens. 2021, 13, 2021. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13102021

AMA Style

David C, Nafornita C, Gui V, Campeanu A, Carrie G, Monnerat M. GNSS Localization in Constraint Environment by Image Fusing Techniques. Remote Sensing. 2021; 13(10):2021. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13102021

Chicago/Turabian Style

David, Ciprian, Corina Nafornita, Vasile Gui, Andrei Campeanu, Guillaume Carrie, and Michel Monnerat. 2021. "GNSS Localization in Constraint Environment by Image Fusing Techniques" Remote Sensing 13, no. 10: 2021. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13102021

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