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Vehicle Lateral Position Estimation Method Based on Matching of Top-View Images

机译:基于顶视图图像匹配的车辆横向位置估计方法

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In this paper, a method to estimate the lateral position of the vehicle from a sequence of moving camera images is proposed. Proposed method relies on the plane projective transform (homography) between the ground and the image plane of the present and the next frame. Homographies are obtained according to the information of the calibrated camera and the vehicles' speed. The movement of the camera is obtained by the registration of the 2 consecutive input images. The proposed method does not rely on extraction of features such as lines, flow vectors or lane markers, but based on matching of warped top-view images between two consecutive frames. Therefore, vehicle movement can be estimated even from images without such explicit image features or without special sensors or GPS. In this paper, experiments are done with both synthesized and real images and enough accuracy is shown even compared to conventional method
机译:在本文中,提出了一种根据运动图像序列估计车辆横向位置的方法。所提出的方法依赖于地面与当前帧和下一帧的像平面之间的平面投影变换(单应性)。根据已校准摄像机的信息和车辆的速度获得同构。摄像机的运动通过两个连续输入图像的配准而获得。所提出的方法不依赖于诸如线,流矢量或车道标记之类的特征的提取,而是基于两个连续帧之间的扭曲的顶视图图像的匹配。因此,甚至可以从没有这种显式图像特征或没有特殊传感器或GPS的图像中估计车辆的运动。在本文中,我们对合成图像和真实图像进行了实验,即使与传统方法相比,也显示出足够的精度

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