Ripe with possibilities offered by deep-learning techniques and useful in applications
related to remote sensing, computer vision, and robotics, 3D point cloud semantic …

Today 3D models and point clouds are very popular being currently used in several fields,
shared through the internet and even accessed on mobile phones. Despite their broad …

Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

Point cloud, an efficient 3D object representation, has become popular with the development
of depth sensing and 3D laser scanning techniques. It has attracted attention in various …

This paper introduces a novel, region-growing algorithm for the fast surface patch
segmentation of three-dimensional point clouds of urban environments. The proposed …

Abstract 3D point cloud data from sensing technologies such as 3D laser scanning and
photogrammetry are able to capture the 3D surface geometries of target objects in an …

Field investigations of geometric discontinuity properties in rock masses are increasingly
using three-dimensional point cloud data. These point clouds sample the rock mass surface …

Featured Application This work proposes a semi-automatic approach for the 3D
reconstruction of existing buildings from point clouds in the context of BIM. This process …

3D point cloud segmentation is the process of classifying point clouds into multiple
homogeneous regions, the points in the same region will have the same properties. The …

Building information models (BIMs) are maturing as a new paradigm for storing and
exchanging knowledge about a facility. BIMs constructed from a CAD model do not …