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Visible Light Communication Based Vehicle Localization for Collision Avoidance and Platooning

机译:基于可见光通信的碰撞和排碰碰撞的车辆本地化

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Collision avoidance and platooning applications require vehicle localization at cm-level accuracy and at least 50 Hz rate for full autonomy. The RADAR/LIDAR and camera based methods currently used for vehicle localization do not satisfy these requirements, necessitating complementary technologies. Visible light positioning (VLP) is a highly suitable complementary technology due to its high accuracy and high rate, exploiting the line-of-sight propagation feature of the visible light communication (VLC) signals from LED head/tail lights. However, existing vehicular VLP algorithms impose restrictive requirements, e.g., use of high-bandwidth circuits, road-side lights and certain VLC modulation strategies, and work for limited relative vehicle orientations, thus, are not feasible for general use. This paper proposes a VLC-based vehicle localization method that eliminates these restrictive requirements by a novel VLC receiver design and associated vehicular VLP algorithm. The VLC receiver, named QRX, is low-cost/size, and enables high-rate VLC and high-accuracy angle-of-arrival (AoA) measurement, simultaneously, via the usage of a quadrant photodiode. The VLP algorithm estimates the positions of two head/tail light VLC transmitters (TX) on a neighbouring vehicle by using AoA measurements from two QRXs for localization. The algorithm is theoretically analyzed by deriving its Cramer-Rao lower bound on positioning accuracy, and simulated localization performance is evaluated under realistic platooning and collision avoidance scenarios. Results demonstrate that the proposed method performs at cm-level accuracy and up to 250 Hz rate within a 10 m range under realistic harsh road and channel conditions, demonstrating its eligibility for collision avoidance and safe platooning.
机译:碰撞避免和排式应用需要在CM级精度和至少50 Hz速率下的车辆定位以满足完全自主权。目前用于车辆定位的基于雷达/激光雷达和相机的方法不满足这些要求,需要互补技术。可见光定位(VLP)是一种高度合适的互补技术,由于其高精度和高速,利用来自LED头/尾灯的可见光通信(VLC)信号的视线传播特征。然而,现有的车辆VLP算法施加限制性要求,例如,使用高带宽电路,道路侧灯和某些VLC调制策略,以及用于一般使用的有限相对车辆方向的工作不可行。本文提出了一种基于VLC的车辆本地化方法,通过新颖的VLC接收机设计和相关车载VLP算法消除了这些限制性要求。名为QRX的VLC接收器是低成本/尺寸,并通过使用象限光电二极管,同时启用高速VLC和高精度的到达(AOA)测量。 VLP算法通过使用来自两个QRX的AOA测量来估计两个头/尾光VLC发射器(Tx)的位置通过两个QRxS进行定位。通过导出其Cramer-RAO在定位精度下的克拉姆 - RAO下限,理论上分析了算法,并在现实的排避免场景下进行了模拟的本地化性能。结果表明,该方法以CM级精度执行,在逼真的恶劣道路和渠道条件下,在10米范围内以高达250 Hz速率进行,展示其碰撞避免和安全排列的资格。

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