Laser techniques are widely used to perform topographic building surveys by providing massive information and point clouds comprised of millions of points in seconds. Point clouds allow the creation of 3D models that represent information of significant importance to the AEC/FM (Architecture, Engineering, Construction, and Facilities Management) domain. However, few tools exist related to the automatic modelling of point clouds. We present a method to automatically segment, classify, and model point clouds that were tested with two point clouds acquired via static and dynamic laser techniques. This approach generated accurate 3D surfaces of building elements, including floors, ceilings, walls columns, and content. A future study will involve transferring the 3D surfaces into Building Information Model elements.

激光技术通过提供大量信息和数秒内包含数百万个点的点云，被广泛用于执行地形建筑测量。点云允许创建3D模型，这些模型表示对AEC / FM（建筑，工程，施工和设施管理）领域非常重要的信息。但是，很少有工具与点云的自动建模有关。我们提出了一种自动分割，分类和建模点云的方法，这些点云已通过静态和动态激光技术获取的两个点云进行了测试。这种方法生成了建筑元素的精确3D表面，包括地板，天花板，墙柱和内容。未来的研究将涉及将3D表面转换为建筑信息模型元素。