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

X. Liu, Q. Wang, J. Zhao, A. Graeser
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引用次数: 2

Abstract

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.
一种新型避眩系统中驾驶员头部的鲁棒轮廓人脸检测和旋转角度估计
ShadeVision系统[1]是一种新型的基于视觉的驾驶辅助系统,旨在避免外部强光造成的刺眼效果,本文提出了ShadeVision系统中轮廓面检测和驾驶员头部旋转角度估计的鲁棒方法。由于炫目效果的检测率高度依赖于轮廓脸的亮度[2],因此需要开发新的算法来实现驾驶场景下的鲁棒轮廓脸检测。当有多个外部强光源时,系统需要知道驾驶员视线聚焦的位置,以确定对驾驶员有危险的光源[1]。为此,驾驶员头部的精确旋转角度是非常重要的。通过实验室和现场试验验证了所开发算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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