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Map based road boundary estimation

机译:基于地图的道路边界估计

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Knowledge about the road shape is a key element for driver assistance systems which support the driver in complex scenarios like construction sites. Systems only using information derived from lane markings reach a limit here. The paper presents an approach to estimate road boundaries based on static objects bounding the road. A map based environment description and an interpretation algorithm identifying the road boundaries in the map are used. Two approaches are presented for estimating the map, one based on a radar sensor, one on a mono video camera. Besides that two fusion approaches are described. The estimated boundaries are independent of road markings and as such can be used as orthogonal information with respect to detected markings. Results of practical tests using the estimated road boundaries for a lane keeping system are presented.
机译:有关道路形状的知识是驾驶员辅助系统的关键要素,该系统在复杂的场景(例如建筑工地)中为驾驶员提供支持。仅使用从车道标记得出的信息的系统在此达到极限。本文提出了一种基于包围道路的静态对象来估计道路边界的方法。使用基于地图的环境描述和识别地图中道路边界的解释算法。提出了两种方法来估计地图,一种基于雷达传感器,一种基于单摄像机。除此之外,还描述了两种融合方法。估计的边界独立于道路标记,因此可以用作关于检测到的标记的正交信息。给出了使用车道保持系统的估计道路边界进行实际测试的结果。

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