Local 3D Map Building Based on Projection of Virtual Height Line

Huahua Chen, Minhui Dong
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引用次数: 3

Abstract

3D map building is an important task of autonomous land vehicle (ALV) for obstacle detection, path planning. Traditional methods using stereo vision usually relies on dense disparity map obtained by stereo matching, and 3D map is built based on the disparity map. Traditional methods are sensitive to mismatch pixels in disparity map, and dense stereo matching increases lots of unnecessary computation. This paper proposes a novel 3D map building method based on projection of virtual height line (VHL). Unlike traditional methods, the proposed needn't obtain the disparity map, so it reduces the computation cost and can be highly real-time. Simulation and experimental result is given to show that the built 3D map reflects the actual scene basically and meets the need of ALV navigation.
基于虚拟高程线投影的局部三维地图构建
三维地图构建是自动驾驶汽车障碍物检测、路径规划的重要任务。传统的立体视觉方法通常依赖于立体匹配得到的密集视差图,并基于视差图构建三维地图。传统的方法对视差图中的不匹配像素比较敏感,密集的立体匹配增加了大量不必要的计算。提出了一种基于虚拟高程线投影的三维地图生成方法。与传统方法不同的是,该方法不需要获取视差图,降低了计算量,具有较高的实时性。仿真和实验结果表明,所建立的三维地图基本反映了实际场景,满足了自动驾驶汽车导航的需要。
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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