Urban Vehicle Localization and TrackingParticipants: Wei Zhang, Siyuan Cao, Shan Chang, Li Lu, and Hongzi ZhuSponsors: LION |
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Obtaining accurate location information of vehicles, especially, in urban scenarios, is of great importance to many ITS applications but challenging due to complex urban environments. For example, due to the "urban canyon" problem, satellite-based localization systems such as GPS perform unreliably. In this project, we deal with the urban localization and tracking problem through various techniques.
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Hongzi Zhu, Yanmin Zhu, Minglu Li and Lionel M. Ni
in Proceedings of ICPP 2007, Xi'an, China.
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Hongzi Zhu, Yanmin Zhu, Minglu Li and Lionel M. Ni
in Proceedings of IEEE INFOCOM 2008, Phoenix, USA.
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Minglu Li, Hongzi Zhu, Yanmin Zhu and Lionel M. Ni
IEEE Transactions on Vehicular Technology (IEEE TVT), 58(8), pp. 4088-4097, Oct. 2009.
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Hongzi Zhu, Minglu Li, Yanmin Zhu and Lionel M. Ni
IEEE TPDS, 20(5), pp. 740-752, May 2009.
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Hongzi Zhu, Shan Chang, Li Lu and Wei Zhang
in Proceedings of IEEE IPDPS 2016, Chicago, Illinois, USA.
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Hua Xue, Hongzi Zhu, Siyuan Cao, Shan Chang and Jian Cao
in Proceedings of IEEE GLOBECOM 2016, Washington, DC, USA. (Best Paper Award)
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Hongzi Zhu, Shan Chang, Wei Zhang, Fan Wu and Li Lu
IEEE Transactions on Vehicular Technology (IEEE TVT), 67(2), pp. 1063-1074, 2018.
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Hongzi Zhu, Fan Wu, Siyuan Cao, Shan Chang and Li Lu
CCF Transactions on Networking, 2(1), pp. 12-27, 2019.
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