DNN-Assisted Cooperative Localization in Vehicular Networks

• Main Authors: Jewon Eom, Hyowon Kim, Sang Hyun Lee, Sunwoo Kim
• Format: Article
• Language: English
• Published: MDPI AG 2019-07-01
• Series: Energies
• Subjects: cooperative localization; deep neural network; internet of vehicle; multilateration; vehicular networks
• Online Access: https://www.mdpi.com/1996-1073/12/14/2758

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.