Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles
Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles
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DOI：
10.1109/icpr.2006.858
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发表时间：
2006-08
期刊：
影响因子：
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通讯作者：
Yen-Lin Chen;Yuan-Hsin Chen;Chao-Jung Chen;Bing-Fei Wu
中科院分区：
文献类型：
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作者：
Yen-Lin Chen;Yuan-Hsin Chen;Chao-Jung Chen;Bing-Fei Wu
本研究提供了一种有效的检测夜间驾驶车辆前方车辆的方法。该方法利用图像分割和模式分析技术对车辆前灯和尾灯进行检测和定位，实现对车辆的检测。首先，为了有效地提取感兴趣的明亮目标，对采集到的道路场景图像进行了基于自动多级阈值的分割处理。然后对提取的明亮目标进行基于规则的处理，通过定位和分析车辆的灯光模式来识别车辆，并估计它们到相机辅助汽车的距离。实验结果证明了该方法在夜间车辆检测中的有效性。
This study presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving. The proposed method detects vehicles based on detecting and locating vehicle headlights and taillights using techniques of image segmentation and pattern analysis. First, to effectively extract bright objects of interest, a segmentation process based on automatic multilevel thresholding is applied on the grabbed road-scene images. Then the extracted bright objects are processed by a rule-based procedure, to identify the vehicles by locating and analyzing their vehicle light patterns, and estimate their distances to the camera-assisted car. Experimental results demonstrate the effectiveness of the proposed method on detecting vehicles at night