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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Floorplan Generation of Indoor Environments From Large-Scale Terrestrial Laser Scanner Data
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Floorplan Generation of Indoor Environments From Large-Scale Terrestrial Laser Scanner Data

机译：从大型地面激光扫描仪数据生成室内环境的平面图

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摘要

This letter presents a novel approach for automatic floorplan generation of indoor environments. The floorplan is computed from a large-scale point cloud obtained from registered terrestrial laser scans. In contrast to previous work, the proposed method does not assume either a flat ground, or flat ceiling, or planar walls. Moreover, the method exploits the detection of structural elements, i.e., parts having a constant section over the entire height of the building (such as walls and columns), which is beneficial in cluttered regions to compensate for the lack of information due to occlusions. The evaluation was performed in complex buildings, like industrial warehouses, that include machines and pallet racks, whose layout is included in the generated floorplan. The algorithm achieves a floorplan reconstruction with accuracy comparable to the resolution of the adopted sensor. Results are also compared to a ground truth acquired using a total station.
机译：这封信提出了一种自动生成室内环境的平面图的新颖方法。平面图是根据从注册的地面激光扫描获得的大规模点云计算得出的。与以前的工作相反，所提出的方法没有假定平坦的地面，平坦的天花板或平坦的墙壁。此外，该方法利用了对结构元件的检测，即，在建筑物的整个高度上具有恒定截面的部分（例如，墙壁和圆柱），这在杂乱的区域中有利于补偿由于遮挡而导致的信息不足。评估是在复杂的建筑物中进行的，例如工业仓库，其中包括机器和托盘架，其布局包含在生成的平面图中。该算法可实现平面图重建，其精度可与采用的传感器的分辨率相媲美。还将结果与使用全站仪获取的地面事实进行比较。

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