基于BP神经网络的车道偏离预警系统的阈值与照度关系的研究  

Research the relationship between threshold and illumination about lane departure warning system based on BP neural network

作　　者：滕凯凯 仝秋红[1] 吕奎超 

机构地区：[1]长安大学汽车学院,陕西西安710064

出　　处：《汽车实用技术》2016年第4期36-38,共3页Automobile Applied Technology

摘　　要：车道偏离预警系统是当驾驶员没有开启转向灯,车辆偏离原行驶车道时,系统发出报警信号来提醒驾驶员调整方向盘,从而有效的减少交通事故。为了确定车道偏离预警系统中阈值与照度的关系,文章通过大量实验采集了不同天气下照度与阈值的最佳关系的数据,再通过BP神经网络得到照度和阈值的关系。When the driver is not open turn signal and the vehicles running deviation from the original lane, lane departure warning system will send alarm signal to remind the driver to adjust the steering wheel, effectively reduce the number of traffic accidents.In order to determine the relationship between the illumination and the threshold value, we collected a large amount of data under different weather, then obtain the relationship between illumination and threshold by BP neural network.

关 键 词：BP神经网络 车道偏离预警系统 阈值与照度 

分 类 号：U463.6[机械工程—车辆工程]