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Image Processing based Traffic Convex Mirror Detection

机译:基于图像处理的流量凸镜检测

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On the road, there is plenty of valuable information available which assists the driver to maneuver the vehicle by prioritising his safety. One amongst them is Traffic Convex Mirror. Traffic Convex Mirror are frequently found in sharp turnings, T-junctions and parking areas where there is a need for more visibility. Detection of such mirror and notifying the driver in prior will play a vital role in Advance Driver Assistance System(ADAS). As of today most of the driver assistance systems don't have such a system for their semi-automated or automated cars. That is to say that with the available detection systems it is not possible to extract information which is readily available for the driver. In this paper, a computer vision based solution is provided to address this concern. With the front ADAS camera it is possible to detect the convex mirror which is available on the roadside. This convex mirror provides information about incoming object or obstacles from another direction which is not in the direct field of view.
机译:在道路上,有很多有价值的信息,可以通过优先考虑他的安全来操纵车辆来操纵车辆。其中一个是交通凸镜。交通凸镜经常在锋利的车削,T-Choncions和停车区找到需要更多的可视性。检测此类镜子并在先前通知驾驶员将在提前驾驶员辅助系统(ADA)中发挥重要作用。截至今天的大多数驾驶员辅助系统没有这种系统,适用于它们的半自动化或自动汽车。也就是说,利用可用的检测系统,不可能提取容易用于驱动程序的信息。本文提供了一种基于计算机视觉的解决方案来解决这一问题。使用前ADAS相机可以检测路边可用的凸镜。该凸镜提供有关来自另一个方向的传入对象或障碍物的信息,该信息不是在直接视野中的另一个方向。

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