光电工程, 2020, 47 (4): 190661, 网络出版: 2020-05-27  

雾对基于可见光的车辆定位性能的研究

The research on fog's positioning performance of vehicles based on visible light
张颖 1,2杨晶 1,*杨玉峰 1
作者单位
1 西安理工大学自动化与信息工程学院,陕西 西安 710048
2 陕西省智能协同网络军民共建重点实验室,陕西 西安 710048
摘要
分析雾环境下利用LED交通灯进行车辆定位的性能,讨论了接收角度、道路宽度、雾环境下接收端信噪比等对车辆定位范围的影响。仿真结果表明:信号最佳接收角度为25°;车辆距离LED交通灯20 m之内时,道路宽度对信号的接收功率影响较大;在靠近交通灯处,车辆位于第二车道上的定位距离比车辆位于第一车道的定位距离少2.2 m;晚间接收端的信噪比优于白天,晚间的定位范围大于白天;与晴朗天气相比,雾天信噪比下降较大,将极大影响车辆的可定位范围,因此为保证安全驾驶,车辆在雾天行驶过程中需要更多的制动时间。
Abstract
In order to analyze the performance of vehicle positioning using LED traffic lights in foggy environment, the influences of receiving angle, road width, and signal-to-noise ratio (SNR) at the receiver in foggy environment on vehicle positioning range are discussed. The simulation results show that the optimal signal reception angle is 25°; when the vehicle is within 20 m of the LED traffic light, the road width has a greater impact on the received power of the signal; near the traffic light, the positioning distance of the vehicle on the second lane is 2.2 m shorter than that of the vehicle in the first lane; the SNR of the receiver at night is better than during the day, and the positioning range at night is greater than during the day; compared with sunny weather, the SNR in the fog days decrease significantly, which will greatly affect the positioning range of the vehicle, so to ensure safe driving, vehicles need more braking time when driving in foggy days.
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张颖, 杨晶, 杨玉峰. 雾对基于可见光的车辆定位性能的研究[J]. 光电工程, 2020, 47(4): 190661. Zhang Ying, Yang Jing, Yang Yufeng. The research on fog's positioning performance of vehicles based on visible light[J]. Opto-Electronic Engineering, 2020, 47(4): 190661.

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