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Vehicle Location Method Based on Roadside Radar and GPS

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2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021) (ICITE 2021)

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Abstract

Vehicle location function is the basic component of many new applications of Internet of Vehicles. The accuracy and reliability of positioning will directly affect the application effect. The traditional vehicle location method is to use the satellite positioning and navigation system for positioning, but in the case of satellite signal failure (tunnel, urban canyon, the environment is blocked scene), the traditional vehicle location method is obviously not applicable. In this paper, a vehicle location method based on roadside radar and GPS is proposed. The transformation equation of radar coordinates and geodetic coordinates in 3D Cartesian Coordinate System is established by using Least Squares Method through multiple calibration points in advance. The radar coordinates of vehicle are transformed into geodetic coordinates through a series of coordinate transformation, and then a large number of radar coordinates of vehicles can be quickly and accurately converted into geodetic coordinates, which lays a foundation for vehicle location service.

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References

  1. Dimitrakopoulos, G., Demestichas, P.: Intelligent transportation systems. Veh. Technol. Mag. IEEE 5(1), 77–84 (2010)

    Article  Google Scholar 

  2. Zeadally, S., Guerrero, J., Contreras, J.: A tutorial survey on vehicle-to-vehicle communications. Telecommun. Syst. 73(2), 469–489 (2020)

    Article  Google Scholar 

  3. Li, S., Xu, L.D., Zhao, S.: The internet of things: a survey. Inf. Syst. Front. 17(2), 243–259 (2015)

    Article  Google Scholar 

  4. Morabito, I.G.: The Internet of Things: a survey. Comput. Netw. 54, 2787–2805 (2010)

    Article  MATH  Google Scholar 

  5. Javanmard, K.: An Introduction to Global Positioning System GPS, Principles and Applications in Aviation (2008)

    Google Scholar 

  6. Montenbruck, O., Hauschild, A., Steigenberger, P., et al.: Initial assessment of the COMPASS/BeiDou-2 regional navigation satellite system. GPS Solutions 17(2), 211–222 (2013)

    Article  Google Scholar 

  7. Chuang, S., Qile, Z., Min, L.I., et al.: Precise orbit determination of Beidou satellites with precise positioning. Sci. China Earth Sci. 55(007), 1079–1086 (2012)

    Article  Google Scholar 

  8. Dai, F., Mao, X.: BDS/GPS dual systems positioning based on Kalman filter in urban canyon environments (2014)

    Google Scholar 

  9. Binder, Y.I., Paderina, T.V., Litmanovich, Y.A.: Method errors of the dead reckoning schemes based on a single free gyroscope. Gyroscopy Navig. 10(4), 292–302 (2019)

    Article  Google Scholar 

  10. Choe, Y., Song, J.W., Park, C.G.: 3D map matching using a few rangefinders and an uncertainty model considering the arrangement of buildings for urban canyon navigation. Aerosp. Sci. Technol. 106, 106045 (2020)

    Article  Google Scholar 

  11. Khosyi'In, M., Prasetyowati, S.A.D., Nawawi, Z., et al.: Review and design of gps-rfid localization for autonomous vehicle navigation. In: The 2019 2nd International Conference (2019)

    Google Scholar 

  12. Zhou, Y., Leung, H.: Sensor alignment with Earth-centered Earth-fixed (ECEF) coordinate system. IEEE Trans. Aerosp. Electron. Syst. 35(2), 410–418 (1999)

    Google Scholar 

  13. Song, T.S., Yuan, S.X.: A high accurate algorithm for coordinate transformation from geocentric rectangular coordinates into geodetic coordinates. Fire Control Command Control 35, 90–92 (2010)

    Google Scholar 

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Correspondence to Jianguo Yu .

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He, Y., Yu, J., Gao, S., Zhang, J., Feng, T. (2022). Vehicle Location Method Based on Roadside Radar and GPS. In: Zhang, Z. (eds) 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021). ICITE 2021. Lecture Notes in Electrical Engineering, vol 901. Springer, Singapore. https://doi.org/10.1007/978-981-19-2259-6_2

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