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RAY-BASED DETECTION OF OPENINGS IN URBAN AREAS USING MOBILE LIDAR DATA

机译:基于射线的城市地区开口检测使用移动式激光雷达数据

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The detection of openings like windows or doors is of great interest in the field of urban modeling. Mobile LIDAR data provides valuable 3D information for that purpose. There are generally two main problems: The estimation of wall's surface, and the distinction between opening areas and occluded areas. Indeed, openings may be visible or occluded with regard to the sensor. The method presented in this paper focuses on the detection of visible openings using intersections between laser rays and walls. In particular, it shows that detection of visible openings can be reduced to a single distance threshold once the surface of the wall is computed. Thus all the complexity is actually in the estimation of the wall's surface. The opening contours are then obtained by clustering the visible opening points and fitting them with rectangles. The main advantage of ray-based detection is its robustness to occlusions. This method requires the LIDAR sensor positions and angles for every laser point. Results are evaluated quantitatively on two datasets with ground truth. Qualitative results on larger datasets are also given. The results show good precision. The recall (or completeness) depends on the number of occluded openings.
机译:检测窗口或门这样的开口对城市建模领域具有很大的兴趣。移动激光器数据为此目的提供有价值的3D信息。通常存在两个主要问题:墙壁表面的估计,以及开口区域和闭塞区域之间的区别。实际上,在传感器方面可以可见或遮挡开口。本文呈现的方法侧重于使用激光射线和壁之间的交叉点检测可见的开口。特别地,一旦计算了壁的表面,就可以将可见开口的检测减小到单个距离阈值。因此,所有复杂性实际上都在估计墙壁表面。然后通过聚集可见开口点并用矩形装配它们来获得开口轮廓。基于射线的检测的主要优点是它对闭塞的鲁棒性。该方法需要LIDAR传感器位置和角度为每个激光点。结果是在两个与地面真理的两个数据集上定量评估。还给出了较大数据集的定性结果。结果表现出良好的精度。召回(或完整性)取决于遮挡开口的数量。

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