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A lane detection approach based on intelligent vision

机译:基于智能视觉的车道检测方法

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This paper proposes driver assistant system architecture based on image processing techniques. A camera is mounted on the vehicle front window to detect the road lane markings and determine the vehicle's position with respect to the lane lines. A modified approach is proposed to accelerate the HT process in a computationally efficient manner, thereby making it suitable for real-time lane detection. The acquired image sequences are analyzed and processed by the proposed system, which automatically detects the lane lines. The experimental results show that the system works successfully for lane line detection and lane departure prediction. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文提出了一种基于图像处理技术的驾驶员辅助系统架构。摄像机安装在车辆的前窗上,以检测道路车道标记并确定车辆相对于车道线的位置。提出了一种改进的方法来以高效计算的方式加速HT处理,从而使其适合于实时车道检测。所提出的系统将对获取的图像序列进行分析和处理,该系统会自动检测车道线。实验结果表明,该系统能够成功进行车道线检测和车道偏离预测。 (C)2015 Elsevier Ltd.保留所有权利。

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