LIDAR and Stereo-Camera fusion for reliable Road Extraction

Mohammed Yazid Lachachi, M. Ouslim, S. Niar, A. Taleb-Ahmed
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Abstract

This paper presents a novel approach that combines LIDAR and Stereo-cameras. First, a stereo camera is used to guide the extraction of road surface points from a 3D point cloud obtained by a LIDAR. Then, the number of points is reduced based on their elevation and illumination invariant colors. Finally, a post-processing is applied to have a projection in an image to obtain the final segmentation of the road. The method has been tested on three types of roads as defined in the KITTI benchmark. The obtained experimental results prove the effectiveness of our approach and its robustness in accuracy compared to existing approaches in the literature.
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激光雷达和立体摄像机融合可靠的道路提取
本文提出了一种结合激光雷达和立体摄像机的新方法。首先,利用立体摄像机引导从激光雷达获得的三维点云中提取路面点;然后,根据它们的高程和照度不变颜色减少点的数量。最后,通过后处理对图像进行投影,得到道路的最终分割。该方法已在KITTI基准中定义的三种类型的道路上进行了测试。得到的实验结果证明了该方法的有效性以及与文献中现有方法相比在精度上的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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