Abstract
The Global navigation satellite system (GNSS) can offer high precise location service for vehicle in open area, but in urban, the satellite signal is obscured by dense building, tunnel. Dead reckoning (DR) system can estimate vehicular position in short period of time, but do not work well as its error accumulation with the passage of time. If the area has been deployed RSU, vehicle can get own position by communication. A single positioning system is not able to offer precise location service in urban, this paper combines with RSU, GNSS and DR and proposes a integrated position system. The integrated system makes use of Federate Kalman Filter (FKF) algorithm to realize information fusion of three systems. The experimental results show the positioning accuracy and anti-jamming capability of RSU/GNSS/DR integrated positioning system is better than a single system.
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Acknowledgments
The authors would like to thank Guangdong Province Special Project of Industry-University-Institute Cooperation (No. 2014B090904080), 2013 Guangdong Province University High-level Personnel Project (Project Name: Energy-saving building intelligent management system key technologies research and development) and the Project of Guangdong Mechanical & Electrical College (No. YJKJ2015-2) for their support in this research.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, J., Zhang, Y., Zeng, B. (2016). A Novel Vehicular Integrated Positioning Algorithm. In: Wan, J., Humar, I., Zhang, D. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-319-44350-8_13
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DOI: https://doi.org/10.1007/978-3-319-44350-8_13
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