Vehicular Visible Light Communications for Automated Valet Parking

TL;DR

This paper proposes a VLC-based vehicle-to-infrastructure communication system for automated valet parking, enabling reliable, secure, and high-bandwidth data sharing in indoor parking garages to support autonomous vehicle navigation.

Contribution

It introduces a novel VLC architecture for indoor V2I communication that enhances redundancy and supports real-time map updates for autonomous parking.

Findings

Error-free LoS VLC transmissions up to 33 meters

Supports vehicle CAN Bus, camera video, and LIDAR data sharing

Enables indoor parking map updates with bidirectional VLC

Abstract

Visible light communication (VLC) is a promising Optical Wireless Communications (OWC) scheme that is demonstrated to provide secure, line-of-sight (LoS), and short-distance vehicle-to-vehicle (V2V) and vehicle-to-infrastructure(V2I) communications. Recently, automated driving applications, supported by V2I links are proposed to increase the reliability of the autonomous vehicles. To this regard, we propose a VLCbased V2I scheme to increase the V2I communication redundancy of autonomous valet parking (AVP) applications, through jam-free and location-based characteristics of VLC. In this paper, we demonstrate a novel architecture to support indoor parking-garage online-map update with vehicle on-board data transmissions and location-based map update dissemination through bidirectional VLC communications. The proposed system yields error-free LoS transmissions with Direct Current Biased Optical OFDM (DCO-OFDM) up to 33 m transmitter-receiver distance enabling vehicle CAN Bus data, infrastructure camera video, and LIDAR point cloud data sharing in an indoor parking garage.