Deep Learning assisted Visible Light Communication based Intelligent Transport System

To reduce the incidence of traffic accidents, Visible Light Communication (VLC) based Intelligent Transport System (ITS) has been widely accepted as a promising solution. The Deep Learning technology can be utilized to help VLC based ITS applications both for vehicles and infrastructures. This paper proposes a deep learning assisted VLC unmanned vehicles which can automatically capture and identify different traffic signs. Then deep learning algorithm will be implemented and control the unmanned vehicle performing corresponding motion operations. Theoretical analysis and demo system are provided to verify the proposed scheme.