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Robust profile face detection and rotation angle estimation of the driver's head in a novel dazzling avoidance system

机译:一种新颖的耀眼避免系统中驾驶员头部的强大剖面脸部检测和旋转角度估计

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This paper presents robust methods of detecting the profile face and estimating the rotation angle of the driver's head in the ShadeVision system [1], which is a novel vision-based driving assistance system aiming to avoid the dazzling effect caused by strong external light. As the detection rate of dazzling effect highly relies on the brightness of the profile face [2], new algorithms need to be developed to realize the robust profile face detection in driving scenario. When there are multiple strong external light sources, the system needs to know where the driver's sight is focusing in order to determine the light source that is dangerous to the driver [1]. To this end the precise rotation angle of the driver's head is of great importance. The effectiveness of the developed algorithms is verified by the laboratory and field tests.
机译:本文介绍了检测轮廓面和估计Shadevision系统中驾驶员头的旋转角度的鲁棒方法[1],这是一种基于目的的驾驶辅助系统,其旨在避免由强外部光引起的令人眼花缭乱的效果。由于高度依赖于轮廓面的亮度[2]的耀眼效果的检测速率,需要开发新的算法以实现驱动场景中的稳健剖面面检测。当有多个强大的外部光源时,系统需要知道驾驶员视线在哪里聚焦,以便确定对驱动器危险的光源[1]。为此,驾驶员头的精确旋转角度非常重要。通过实验室和现场测试验证了发达算法的有效性。

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