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POBABILISTIC METHODS FOR MAPPING AND LOCALIZATION IN ARBITRARY OUTDOOR ENVIRONMENTS

机译:任意室外环境中映射和定位的概率论方法

摘要

Systems and methods which provide mapping an arbitrary outdoor environment and positioning a ground-based vehicle relative to this map. In one embodiment, a land-based vehicle travels across a section of terrain, recording both location data from sensors such as GPS as well as scene data from sensors such as laser scanners or cameras. These data are then used to create a high-resolution map of the terrain, which may have well-defined structure (such as a road) or which may be unstructured (such as a section of desert), and which does not rely on the presence of any “landmark” features. In another embodiment, the vehicle localizes itself relative to this map in a subsequent drive over the same section of terrain, using a computer algorithm that incorporates incoming sensor data from the vehicle by attempting to maximize the likelihood of the observed data given the map.
机译:提供对任意室外环境进行地图绘制并相对于该地图定位地面车辆的系统和方法。在一个实施例中,陆基车辆横越地形的一部分,记录来自诸如GPS的传感器的位置数据以及来自诸如激光扫描仪或照相机的传感器的场景数据。然后,这些数据将用于创建地形的高分辨率地图,该地图可能具有定义明确的结构(例如道路),也可能是非结构化的(例如沙漠部分),并且不依赖于地形存在任何“地标”功能。在另一个实施例中,使用计算机算法,车辆试图相对于该地图自身定位在同一地形上的后续驱动中,该计算机算法通过尝试使给定地图的观测数据的可能性最大化来合并来自车辆的传入传感器数据。

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