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DNN-Assisted Cooperative Localization in Vehicular Networks

Author

Listed:
  • Jewon Eom

    (Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea)

  • Hyowon Kim

    (Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea)

  • Sang Hyun Lee

    (School of Electrical Engineering, Korea University, Seoul 02841, Korea)

  • Sunwoo Kim

    (Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea)

Abstract

This work develops a deep-learning-based cooperative localization technique for high localization accuracy and real-time operation in vehicular networks. In cooperative localization, the noisy observation of the pairwise distance and the angle between vehicles causes nonlinear optimization problems. To handle such a nonlinear optimization task at each vehicle, a deep neural network (DNN) technique is to replace a cumbersome solution of nonlinear optimization along with the saving of the computational loads. Simulation results demonstrate that the proposed technique attains some performance gain in localization accuracy and computational complexity as compared to existing cooperative localization techniques.

Suggested Citation

  • Jewon Eom & Hyowon Kim & Sang Hyun Lee & Sunwoo Kim, 2019. "DNN-Assisted Cooperative Localization in Vehicular Networks," Energies, MDPI, vol. 12(14), pages 1-10, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2758-:d:249537
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    References listed on IDEAS

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    1. Volodymyr Mnih & Koray Kavukcuoglu & David Silver & Andrei A. Rusu & Joel Veness & Marc G. Bellemare & Alex Graves & Martin Riedmiller & Andreas K. Fidjeland & Georg Ostrovski & Stig Petersen & Charle, 2015. "Human-level control through deep reinforcement learning," Nature, Nature, vol. 518(7540), pages 529-533, February.
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    Cited by:

    1. Hyeonjin Chung & Jeungmin Joo & Sunwoo Kim, 2020. "Off-Grid DoA Estimation on Non-Uniform Linear Array Using Constrained Hermitian Matrix," Energies, MDPI, vol. 13(21), pages 1-12, November.
    2. Hyeonjin Chung & Hyeongwook Seo & Jeungmin Joo & Dongkeun Lee & Sunwoo Kim, 2021. "Off-Grid DoA Estimation via Two-Stage Cascaded Neural Network," Energies, MDPI, vol. 14(1), pages 1-11, January.
    3. Hyeonjin Chung & Young Mi Park & Sunwoo Kim, 2020. "Wideband DOA Estimation on Co-prime Array via Atomic Norm Minimization," Energies, MDPI, vol. 13(12), pages 1-11, June.

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