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Multi-camera system for traffic light detection: About camera setup and mapping of detections

机译:用于交通灯检测的多摄像机系统:关于摄像机设置和检测映射

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Traffic light recognition is an object detection task mainly investigated on monocular images from a single camera [1], [2], [3], [4], [5] usually one with a small field of view. They guarantee high object resolution and less distortion. Both properties support common state of the art detectors. However, a single-camera setup only covers a certain distance range. Traffic lights in close range disappear from the field of view. When stopped at the stop line of an intersection, the vehicle can-not recognize the toggle process of the traffic light. In this paper a two-camera setup for traffic light recognition is presented. A stereo camera is used for far and moderate range, while for close range a wide-angle camera is used. The fields of view of both cameras overlap. In particular, the transition of a detection in the stereo camera to the wide-angle camera is presented. Objects detected by the stereo camera are handed over to the wide-angle camera. Since the hand-over is erroneous, a template matching correction presented. The accuracy of the hand-over as well as a subsequent correction method is evaluated.
机译:交通灯识别是一种物体检测任务,主要研究了来自单眼图像的单眼图像[1],[2],[3],[4],[5]通常是具有小视野的。它们保证了高对象分辨率和更少的失真。这两个属性都支持艺术探测器的常见状态。但是,单摄像头设置仅涵盖一定的距离范围。近距离交通灯从视野消失。当停止在交叉路口的停止线时,车辆可以 - 不识别交通灯的切换过程。在本文中,呈现了一种用于业务光识别的双摄像头设置。立体声相机用于远距离和中等的范围,而近距离使用广角相机。两个相机重叠的视野。特别地,介绍了检测在立体相机到广角相机的转换。由立体摄像机检测到的对象被移交给广角相机。由于手回是错误的,因此呈现了模板匹配的校正。评估手持的准确性以及随后的校正方法。

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