基于机器视觉的汽车前照灯照射角度调整算法

Algorithm for Illumination Angle Adjustment of Automobile Headlights Based on Machine Vision

摘要:

建立了一种基于机器视觉的前照灯照射角度调整算法。利用图像传感器对道路图像进行采集，随后处理图像信息以提取所需道路的参数信息，并结合不同场景下前照灯照射角度调整计算模型，在汽车行驶道路状况即将发生改变时及时调整前照灯照射角度，实时地为汽车夜间行驶提供合适的照明。在实际道路环境中进行了测试，结果表明所建立的算法能够有效地解决前照灯偏转迟滞性问题。

Abstract:

An algorithm based on machine vision for adjusting the illumination angle of headlights was established. The image sensor was used to collect road images， and then the image information was processed to extract the parameter information of the required road. Combined with the calculation model for adjusting the illumination angle of headlights in different scenarios， the illumination angle of headlights was adjusted in time to provide suitable lighting in real time for the vehicle driving at night when the road condition was about to change. The algorithm was tested in the actual road environment， and the results show that the algorithm can effectively solve the problem of the hysteresis of headlight deflection.