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首页> 外文会议>IEEE International Conference on Computer Research and Development >Robust Nighttime Road Lane Line Detection using Bilateral Filter and SAGC under Challenging Conditions
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Robust Nighttime Road Lane Line Detection using Bilateral Filter and SAGC under Challenging Conditions

机译：强大的夜间道路车道线路检测在挑战条件下使用双侧过滤器和Sagc

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In the last two decades, Advanced Driver Assistance Systems (ADAS) has been one of the most actively conducted areas of studies for reducing traffic accidents. Road lane line detection is one of the essential modules of ADAS. Lots of advancement has been already done, but most of the recent papers did not consider the wide variability of challenging nighttime conditions. In this paper, a method to detect nighttime lane line under different challenging conditions proposed. This simple technique can reach the real-time computation for ADAS applications and at the same time, can handle multiple challenges at a time. In the beginning, Bilateral Filter has been used to reduce the noise while preserving the edges. Next, we choose an optimized threshold (OT) for the Canny edge detector, which can detect edges under a wide variability of nighttime illumination conditions. After that Region of Interest (ROI) is selected using an equilateral triangle-shaped mask which helps to reduce computation time and remove unwanted edges. After that, lines are extracted by Probabilistic Hough Transform (PHT). Finally, a robust technique Slope and Angle based Geometric Constraints (SAGC) is proposed to remove the non-lane lines extracted by PHT. SAGC reduce false detection significantly. Experimental results show that the average detection rate is 94.05%, and the average detection time is 26.11ms per frame which outperformed state-of-the-art method.
机译：在过去的二十年中，先进的驾驶援助系统（ADAS）是减少交通事故最积极开展的研究领域之一。道路车道线路检测是ADAS的基本模块之一。已经完成了许多进步，但最近的大部分文件都没有考虑挑战夜间条件的广泛变化。在本文中，提出了一种在不同具有挑战性条件下检测夜间车道线的方法。这种简单的技术可以达到ADAS应用程序的实时计算，同时可以一次处理多个挑战。一开始，双边过滤器已被用来减少噪音，同时保留边缘。接下来，我们为Canny Edge检测器选择优化的阈值（OT），可以在夜间照明条件的各种变化下检测边缘。之后使用等边三角形掩模选择感兴趣区域（ROI），这有助于减少计算时间并去除不需要的边缘。之后，通过概率霍夫变换（PHT）提取线。最后，提出了一种强大的技术斜率和基于角度的几何约束（SAGC）以去除由PHT提取的非车道线。 SAGC显着降低了假检测。实验结果表明，平均检测率为94.05％，平均检测时间为每帧26.11ms，最终的最新方法。

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