Simulation of GNSS Availability in Urban Environments Using a Panoramic Image Dataset
Performance of Global Navigation Satellite System (GNSS) positioning in urban environments is hindered by poor satellite availability because there are many man-made and natural objects in urban environments that obstruct satellite signals. To evaluate the availability of GNSS in cities, this paper...
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Published in | International journal of navigation and observation Vol. 2017; pp. 1 - 12 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
Hindawi
2017
Hindawi Limited |
Subjects | |
Online Access | Get full text |
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Summary: | Performance of Global Navigation Satellite System (GNSS) positioning in urban environments is hindered by poor satellite availability because there are many man-made and natural objects in urban environments that obstruct satellite signals. To evaluate the availability of GNSS in cities, this paper presents a software simulation of GNSS availability in urban areas using a panoramic image dataset from Google Street View. Photogrammetric image processing techniques are applied to reconstruct fisheye sky view images and detect signal obstacles. Two comparisons of the results from the simulation and real world observation in Bangkok and Tokyo are also presented and discussed for accuracy assessment. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1687-5990 1687-6008 |
DOI: | 10.1155/2017/8047158 |