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首页> 外文期刊>IEEE Transactions on Robotics >3-D mapping of natural environments with trees by means of mobile perception
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3-D mapping of natural environments with trees by means of mobile perception

机译:通过移动感知将自然环境与树木进行3D映射

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摘要

In this paper, a method of generating a three-dimensional (3-D) geometric model for large-scale natural environments with trees is presented. The environment mapping method, which uses range images as measurement data, consists of three main phases. First, geometric feature objects are extracted from each of the range images. Second, the relative coordinate transformations (i.e., registrations) between the sensor viewpoint locations, where the range data are measured, are computed. Third, an integrated map is formed by transforming the submap data into a common frame of reference. Tree trunks visible in the range images are modeled with cylinder segments and utilized as reference features for registration computation. The final integrated 3-D model consists of the cylinder segments representing the visible sections of the tree trunks, as well as of the ground elevation data. The constructed environment map can be utilized as, for example, a virtual task environment for outdoor robotic machines such as new-generation forest working machines or service robots.
机译:在本文中,提出了一种在带有树木的大型自然环境中生成三维(3-D)几何模型的方法。使用距离图像作为测量数据的环境映射方法包括三个主要阶段。首先,从每个距离图像中提取几何特征对象。其次,计算测量范围数据的传感器视点位置之间的相对坐标变换(即,配准)。第三,通过将子图数据转换成公共参照系来形成集成图。范围图像中可见的树干用圆柱分段建模,并用作配准计算的参考特征。最终的集成3-D模型由代表树干可见部分的圆柱部分以及地面高程数据组成。所构建的环境图可以用作例如室外机器人机器(例如,新一代森林作业机器或服务机器人)的虚拟任务环境。

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