AFS弯道照明光环境研究

Study on the Light Environment of the Adaptive Front-Lighting System for Corner

本文从道路照明光环境和汽车前照灯配光性能出发,分析了汽车前照灯在弯道照明的重要性;比较了无AFS时和有AFS时汽车弯道行驶时的光环境特征。同时,由于现有的AFS弯道照明系统存在一定的局限性,故本文从理论上提出基于CCD的汽车AFS弯道照明系统。该系统利用CCD图像传感器技术采集前方弯道图像,并根据实时接收到的弯道成像来计算转弯半径,结合车速、车身高度等信息经电控单元对汽车前照灯进行预调整,从而提前得到适应弯道的照明光束。这种方法避免了进入弯道时由于驾驶员反应滞后导致的前方弯道一定区域内出现的视觉"盲区",提高行车的安全性。本文对AFS前照灯在弯道行驶时水平方向的旋转进行了数学建模并用MATLAB进行仿真。

This paper analyzed the importance of headlamps in road lighting and compared the lighting area of headlamps without and with AFS when driving round the corner on the basis of the road righting environment and photometric characteristics of headlamps. Since the existing AFS has many advantages and some limitations, this paper put forward a new kind of AFS based on CCD techniques. It used CCD image sensor to detect the front corner information which be used to calculate the turning curvature radius. The collected data with car speed and height were sent to electronic control units in advance to adjust headlamps to get the right passing beam which was suitable for the coming corner. Thus it could avoid the ＂blind spot＂ caused by the fixed lighting area when the car is coming near to the corner, and improved the driving safety. This paper built the horizontal rotating model of headlamps, and the model was simulated by MATLAB.