Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …

Abstract Three-dimensional (3D) building roof reconstruction from airborne LiDAR point
clouds is an important task in photogrammetry and computer vision. To automatically …

Rooftop photovoltaic panels (RPVs) are being increasingly used in urban areas as a
promising means of achieving energy sustainability. Determining proper layouts of RPVs …

Shape segmentation in urban environments forms the foundation for tasks such as
classification and reconstruction. Most artificial buildings with complex structures are …

Roof plane segmentation is an essential step in the process of 3D building reconstruction
from airborne laser scanning (ALS) point clouds. The existing approaches either rely on …

Building roof segmentation is a key step in the process of 3-D building reconstruction using
airborne light detection and ranging point cloud data. Voxel-based region growing is one of …

Accurate building extraction from remotely sensed data is difficult to perform automatically
because of the complex environments and the complex shapes, colours and textures of …

Since single sensor and high-density point cloud data processing have certain direct
processing limitations in urban traffic scenarios, this paper proposes a 3D instance …

In three-dimensional (3D) airborne light detection and ranging (LiDAR) point-cloud data
acquisition, noise point clusters (such as cloud, birds and incomplete scanning ground …

Automatic roof segmentation from airborne light detection and ranging (LiDAR) point cloud
data is a key technology for building reconstruction and digital city modeling. In this article …