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Lane Marking Detection by Side Fisheye Camera

机译:车道标记检测侧鱼眼相机

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In this paper we propose a method of detecting lane markings by a side fisheye camera which is mounted at the side of a vehicle and observes the side scene in the FFCVS (Four Fisheye Camera Vision System). Since the side fisheye camera has a wider FOV (Field Of View) than a hemispherical one the whole lane marking at the side may be observed by the fisheye camera and the two vanishing points of straight lane markings may appear in the fisheye image. When a vehicle moves along straight lanes the translation vector of the camera is the same as the direction vector of the straight lanes. In this paper, we first compute the epipoles of a pair of fisheye images by spherical stereo method. Then the epipoles are used as the initial position of the vanishing points of lanes. Finally, the straight lane markings are detected by the estimated position of the vanishing points and the gradient values of edge points of lane markings.
机译:在本文中,我们提出了一种通过安装在车辆侧面的侧面鱼眼照相机检测车道标记的方法,并在FFCV(四种鱼眼相机视觉系统)中观察侧面场景。由于侧面鱼眼相机具有更广泛的FOV(视场),而不是半球形,因此可以通过鱼眼相机观察到侧面的整个车道标记,并且可以在Fisheye图像中出现两个直线车道标记的消失点。当车辆沿直线通道移动时,相机的翻译矢量与直线通道的方向矢量相同。在本文中,我们首先通过球形立体法计算一对鱼眼图像的骺。然后将骨骺用作车道消失点的初始位置。最后,通过消失点的估计位置和车道标记的边缘点的梯度值来检测直线车道标记。

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