基于机器视觉的自适应前照灯系统算法研究

Zheng Tuo
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引用次数: 0

摘要

目前市场上主流的自动驾驶系统是根据方向盘角度或前轮角度推导转弯半径,这种方法简单有效,但容易受到车辆状态的影响,存在一定的滞后。针对这一问题,本文研究了基于机器视觉技术的前照灯偏转角度调整方法。提出利用机器视觉从道路图像中计算曲线半径,提取车道线的几个坐标点,利用最小二乘法拟合圆曲线,求曲线的等效半径。然后,通过实车试验将计算出的曲线半径与电子地图上的半径进行比较,验证算法的可行性。最后,以LabVIEW为平台,设计了虚拟自适应前照灯仿真软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Adaptive Front-lighting System Algorithm Based on Machine Vision
At present, the mainstream AFS in the market derives turning radius based on steering wheel angle or front wheel angle, which is simple and effective, but is susceptible to the vehicle's state and has certain hysteresis. In view of this problem, this paper studies how to adjust the headlight deflection angle based on machine vision technology. It proposes to calculate the curve radius from the road image by machine vision, extract several coordinate points of the lane line, fit the circular curve using the least square method to seek the equivalent radius of the curve. Then, the calculated curve radius is compared with the radius on the electronic map via real vehicle test to prove feasibility of the algorithm. Finally, using LabVIEW as the platform, virtual adaptive front-lighting simulation software is designed.
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