Line segment extraction from point clouds is critical for analyzing and understanding large-
scale scenes. The main challenge is to generate line segments accurately as well as …

Large volumes of 3D parametric datasets, such as building information modeling (BIM), are
the foundation for developing and applying smart city and digital twin technologies. Those …

The generation of robust global maps of an unknown cluttered environment through a
collaborative robotic framework is challenging. We present a collaborative SLAM framework …

The extraction of building contour points is aimed at improving the reconstruction efficiency
of building 3D model and lightweight expression of building contour. Therefore, a building …

Due to the influence of repeated textures or edge perspective transformations on building
facades, building modelling based on unmanned aerial vehicle (UAV) photogrammetry often …

The complexity of indoor point cloud and information loss during point cloud acquisition are
the main challenges for accurate and complete indoor buildings 3D wireframe construction …

The complexity of terrain features poses a substantial challenge in the effective processing
and application of airborne LiDAR data, particularly in regions characterized by steep slopes …

The building contours, as one of the most important features for representing geometry, are
widely used in various applications including urban modeling and reconstruction. Automatic …

Building point cloud contour is widely used in urban planning and building identification.
The existing method cannot work well in the extraction of UAV building point cloud contour …

针对建筑室内点云三维线段提取方法中存在的线段冗余, 完整度低和精度不足等问题,
提出了一种融合建筑几何正则化约束的三维线段提取与优化算法. 首先, 采用点云的区域生长与 …