@article{0d9a3a239f9249f4b3352a4f49150a33,
title = "DNN-assisted cooperative localization in vehicular networks",
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.",
keywords = "Cooperative localization, Deep neural network, Internet of vehicle, Multilateration, Vehicular networks",
author = "Jewon Eom and Hyowon Kim and Lee, {Sang Hyun} and Sunwoo Kim",
note = "Funding Information: This work was partly supported by Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (No. 2017-0-00316, Development of Fundamental Technologies for the Next Generation Public Safety Communications) and Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (2016-0-00208, High Accurate Positioning Enabled MIMO Transmission and Network Technologies for Next 5G-V2X (vehicle-to-everything) Services). Funding Information: Acknowledgments: This work was partly supported by Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (No. 2017-0-00316, Development of Fundamental Technologies for the Next Generation Public Safety Communications) and Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (2016-0-00208, High Accurate Positioning Enabled MIMO Transmission and Network Technologies for Next 5G-V2X (vehicle-to-everything) Services). Publisher Copyright: {\textcopyright} 2019 by the authors",
year = "2019",
doi = "10.3390/en12142758",
language = "English",
volume = "12",
journal = "Energies",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "14",
}