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State estimation of connected vehicles using a nonlinear ensemble filter

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Abstract

The concept of connected vehicles is with great potentials for enhancing the road transportation systems in the future. To support the functions and applications under the connected vehicles frame, the estimation of dynamic states of the vehicles under the cooperative environments is a fundamental issue. By integrating multiple sensors, localization modules in OBUs (on-board units) require effective estimation solutions to cope with various operation conditions. Based on the filtering estimation framework for sensor fusion, an ensemble Kalman filter (EnKF) is introduced to estimate the vehicle’s state with observations from navigation satellites and neighborhood vehicles, and the original EnKF solution is improved by using the cubature transformation to fulfill the requirements of the nonlinearity approximation capability, where the conventional ensemble analysis operation in EnKF is modified to enhance the estimation performance without increasing the computational burden significantly. Simulation results from a nonlinear case and the cooperative vehicle localization scenario illustrate the capability of the proposed filter, which is crucial to realize the active safety of connected vehicles in future intelligent transportation.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China

    Jiang Liu  (刘江), Hua-zhan Chen  (陈华展), Bai-gen Cai  (蔡伯根) & Jian Wang  (王剑)

  2. Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing, 100044, China

    Jiang Liu  (刘江) & Bai-gen Cai  (蔡伯根)

  3. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China

    Jian Wang  (王剑)

Authors
  1. Jiang Liu  (刘江)
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  2. Hua-zhan Chen  (陈华展)
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  3. Bai-gen Cai  (蔡伯根)
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  4. Jian Wang  (王剑)
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Corresponding author

Correspondence to Jiang Liu  (刘江).

Additional information

Foundation item: Project(4144081) supported by Beijing Natural Science Foundation, China; Projects(61403021, U1334211, 61490705) supported by the National Natural Science Foundation of China; Project(2015RC015) supported by the Fundamental Research Funds for Central Universities, China; Project supported by the Foundation of Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, China

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Liu, J., Chen, Hz., Cai, Bg. et al. State estimation of connected vehicles using a nonlinear ensemble filter. J. Cent. South Univ. 22, 2406–2415 (2015). https://doi.org/10.1007/s11771-015-2767-4

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  • DOI: https://doi.org/10.1007/s11771-015-2767-4

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