国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Aiming at the problem that the intersection of high beam headlights will affect the visual attention of automobile drivers and make it difficult to ensure the safety of automobile drivers driving at night, this paper studies the external environment detection method of ADB automobile headlights based on machine vision and deep learning. Acquire the image data of the external environment of ADB's automobile headlights through the CCD camera of machine vision, use the data filtering method to eliminate the interference light source data in the collected image data, delimit the detection target area of the external environment of ADB's automobile headlights according to the difference of road conditions, detect the light source of the external environment target through the depth learning algorithm, and predict the track of each target light source in combination with the extended Kalman. When there is a light source passing in front of the vehicle, The ADB system timely adjusts the brightness of the lamp beads in the corresponding area of the high beam light of the car, reducing the visual impact on the car driver due to the intersection of high beam lights when driving at high speed, and ensuring the safe driving of the car. The experimental results show that this method can effectively eliminate all kinds of interference light sources, accurately detect the target light source, and the trajectory prediction results of the target light source are very close to the real results, which can accurately complete the external environment detection of ADB automobile headlights.