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AuthorEl-Wakeel A.S.
AuthorNoureldin A.
AuthorZorba N.
AuthorHassanein H.S.
Available date2020-04-23T14:21:34Z
Publication Date2019
Publication NameIEEE Vehicular Technology Conference
ResourceScopus
ISSN15502252
URIhttp://dx.doi.org/10.1109/VTCFall.2019.8891149
URIhttp://hdl.handle.net/10576/14371
AbstractFuture smart cities are profoundly looking forward to providing services that assure daily competent functionality. Efficient traffic management and related vehicular services are crucial aspects when considering the city's decent operation. The significant presence of the vehicular and smartphone sensing and computing capabilities within and amongst the vehicles open the door towards robust vehicular and road services. The retrofitted present and future vehicles will be able to provide accurate real-time information about the road conditions and hazards, driver behaviour, and traffic. Adequate geo-referencing is remarkably demanded in order to preserve robustness while providing vehicular services. Present and widely spread global positioning systems (GPS) receivers are providing low- resolution position update at 1 Hz, which is not sufficient at high speeds. Also, alternative high data rate geo-referencing technologies may face self-contained or environmental-based performance limitations. In this paper, we propose an adaptive resolution integrated geo-referencing framework that augments GPS and inertial sensors to provide accurate localization and positioning for road information services. Also, we examine the effectiveness of the proposed system in geo- referencing for selected real-life road services. - 2019 IEEE.
SponsorThis research is supported by a grant from the Natural Sciences and Engineering Research Council of Canada (NSERC) under grant number: STPGP 479248. In addition, this work was made possible by NPRP grant NPRP 9-185-2-096 from the Qatar National Research Fund (a member of The Qatar Foundation).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectGPS
Inertial Sensors
Integrated Navigation Systems
Intelligent Vehicular Services
Sensor Fusion
Vehicular Sensing
TitleA framework for adaptive resolution geo-referencing in intelligent vehicular services
TypeConference Paper
Volume Number2019-September


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