Simulation of GNSS Availability in Urban Environments Using a Panoramic Image Dataset | Zendy

Sakpod Tongleamnak | Zendy; Masahiko Nagai | Zendy

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Simulation of GNSS Availability in Urban Environments Using a Panoramic Image Dataset

Author(s) -

Sakpod Tongleamnak,

Masahiko Nagai

Publication year - 2017

Publication title -

international journal of navigation and observation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.176

H-Index - 18

eISSN - 1687-6008

pISSN - 1687-5990

DOI - 10.1155/2017/8047158

Subject(s) - gnss applications , photogrammetry , satellite , computer science , remote sensing , software , computer vision , gnss augmentation , artificial intelligence , satellite system , sky , global positioning system , geography , engineering , telecommunications , meteorology , programming language , aerospace engineering

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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