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作 者:杜小芳[1,2] 程思宇 戴福祥 徐琳[1,2] 石可民 DU Xiaofang;CHENG Siyu;DAI Fuxiang;XU Lin;SHI Kemin(School of Automotive Engineering,Wuhan University of Technology,Wuhan 430070,China;Hubei Key Laboratory of Advanced Technology for Automotive Components,Wuhan 430070,China;Graduate School,Wuhan University of Technology,Wuhan 430070,China)
机构地区:[1]武汉理工大学汽车工程学院,湖北武汉430070 [2]现代汽车零部件技术湖北省重点实验室,湖北武汉430070 [3]武汉理工大学研究生院,湖北武汉430070
出 处:《同济大学学报(自然科学版)》2023年第8期1296-1305,共10页Journal of Tongji University:Natural Science
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。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.
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