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Research on lamp auto-control system based on infrared image processing

机译:基于红外图像处理的灯管自动控制系统研究

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摘要

The field of vision of the driver will become narrower and the recognition capability will significantly decrease to the object in the dark. The hidden danger will increase when the headlight high beam light of opposite car is on because drivers feel dazzling. A kind of active near infrared camera system with auto-control lamps for night safety driving is presented in this paper. The captured infrared images of objects are preprocessing. The objects characters are shown after image segmentation and image morphologic processing. The results can be shown in displays, which improve driver's judging accuracy. When the light intensity detected by silicon photodiode is above the threshold, voltage threshold comparison circuit will generate a signal to close the high beam and open the dipped beam. This design can escape the driver's dazzle and save energy. Simulating and experimental results show that the system can decrease the judging loss rate of drivers to objects in night. (c) 2015 Published by Elsevier GmbH.
机译:驾驶员的视野将变窄,在黑暗中物体的识别能力将大大降低。当对面汽车的大灯远光灯亮起时,驾驶员会感到眼花azz乱,从而增加了隐患。本文提出了一种带有自动控制灯的主动式近红外摄像机系统,用于夜间安全驾驶。捕获的物体红外图像正在预处理中。在图像分割和图像形态处理之后显示对象字符。结果可以显示在显示屏上,从而提高了驾驶员的判断准确性。当硅光电二极管检测到的光强度高于阈值时,电压阈值比较电路将生成信号以关闭远光灯并打开近光灯。这种设计可以避免驾驶员眼花and乱,并节省能源。仿真和实验结果表明,该系统可以降低夜间驾驶员对物体的判断损失率。 (c)2015年由Elsevier GmbH发布。

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