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Automatic on-the-fly extrinsic camera calibration of onboard vehicular cameras

机译:车载车载摄像机的飞行中外部摄像机自动校准

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摘要

This paper presents an on-the-fly procedure for obtaining extrinsic camera parameters of onboard vehicular cameras, as well as augmented reality applications for driver assistance systems and road inspection. The proposed approach employs a lane detection algorithm to extract the lane boundaries of the road, and estimates the distance between adjacent lane markings based on the speed of the vehicle. Then, a rectangular portion of the road is used to obtain the desired extrinsic camera parameters. With the complete set of camera parameters, virtual objects can be coherently inserted into the video sequence captured by the camera, so that synthetic traffic signs may be added to increase safety. Experimental results illustrate the performance of the proposed camera calibration systems, as well as possible applications involving augmented reality.
机译:本文介绍了一种用于获取车载车辆摄像头外部摄像头参数的实时程序,以及用于驾驶员辅助系统和道路检查的增强现实应用程序。所提出的方法采用车道检测算法来提取道路的车道边界,并基于车辆的速度估计相邻车道标志之间的距离。然后,道路的矩形部分用于获得所需的外部摄像机参数。使用完整的摄像机参数集,可以将虚拟对象连贯地插入摄像机捕获的视频序列中,以便可以添加合成交通标志以提高安全性。实验结果说明了所提出的相机校准系统的性能,以及涉及增强现实的可能应用。

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