ViLDAR -基于可见光传感的车辆前照灯速度估计
ViLDAR - Visible Light Sensing Based Speed Estimation using Vehicle's Headlamps
摘要：
在汽车外部照明系统中引入发光二极管（LED）为开发传统通信和传感技术的可行替代方案提供了机会。大多数先进的驾驶员辅助和自动驾驶汽车技术都是基于无线电探测和测距（RADAR）或光探测和测距（LiDAR）系统，这些系统分别使用射频或激光信号。虽然关于车辆速度的可靠和实时信息对于交通运营管理和自动驾驶车辆安全至关重要，但雷达或激光雷达系统存在一些缺陷，特别是在入射角快速变化的弯曲道路场景中。在本文中，我们提出了一种新的速度估计系统，所谓的可见光检测和测距（ViLDAR），建立在感测可见光变化的车辆的前照灯。我们确定建议的速度估计在直线和弯曲的道路场景的准确性。我们进一步介绍了算法设计参数和信道噪声水平如何影响速度估计精度。对于宽入射角，仿真结果表明，ViLDAR优于雷达/激光雷达系统在直线和弯曲的道路场景。这项工作已经获得了临时专利（US#62/541，913）。
英文摘要：
The introduction of light emitting diodes (LED) in automotive exterior lighting systems provides opportunities to develop viable alternatives to conventional communication and sensing technologies. Most of the advanced driver-assist and autonomous vehicle technologies are based on Radio Detection and Ranging (RADAR) or Light Detection and Ranging (LiDAR) systems that use radio frequency or laser signals, respectively. While reliable and real-time information on vehicle speeds is critical for traffic operations management and autonomous vehicles safety, RADAR or LiDAR systems have some deficiencies especially in curved road scenarios where the incidence angle is rapidly varying. In this paper, we propose a novel speed estimation system so-called the Visible Light Detection and Ranging (ViLDAR) that builds upon sensing visible light variation of the vehicle's headlamp. We determine the accuracy of the proposed speed estimator in straight and curved road scenarios. We further present how the algorithm design parameters and the channel noise level affect the speed estimation accuracy. For wide incidence angles, the simulation results show that the ViLDAR outperforms RADAR/LiDAR systems in both straight and curved road scenarios. A provisional patent (US#62/541,913) has been obtained for this work.
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