论文标题
自动代客停车的车辆可见光通信
Vehicular Visible Light Communications for Automated Valet Parking
论文作者
论文摘要
可见光通信（VLC）是一种有希望的光学无线通信（OWC）方案，被证明可以提供安全的，视线（LOS）和短途车辆到车辆（V2V）和车辆到基础设施（V2I）通信。最近，提出了由V2I链接支持的自动驾驶应用程序，以提高自动驾驶汽车的可靠性。在这方面，我们提出了一个基于VLCB的V2I计划，以通过VLC的无JAM和基于位置的特征来增加自动散发式停车应用（AVP）应用的V2I通信冗余。在本文中，我们演示了一种新颖的体系结构，以通过车载数据传输和基于位置的地图更新传播通过双向VLC通信来支持室内停车场在线图更新。提出的系统通过直接电流偏见的光学OFDM（DCO-OFDM）产生无错误的LOS传输，高达33 m的发射机接收器距离驾驶汽车可以加班数据，基础设施摄像机视频以及LIDAR POINT POINT云数据共享印度室停车场。
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.
