Tree modeling and visualization still represent a challenge in the light detecting and ranging
area. Starting from the segmented tree point clouds, this article presents an innovative tree …

An Unsupervised, Open-Source Workflow for 2D and 3D Building Mapping From Airborne
LiDAR Data Page 1 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH …

The Simultaneous Localization and Mapping (SLAM) scanner is an easy and portable Light
Detection and Ranging (LiDAR) data acquisition device. Its main output is a 3D point cloud …

SLAM (Simultaneous Localization and Mapping) based on 3D LiDAR (Laser Detection and
Ranging) is an expanding field of research with numerous applications in the areas of …

Urban digital twins and realistic three-dimensional (3D) scenes have further enhanced the
ever-increasing demand for building models. Airborne Laser Scanning (ALS) point clouds …

Roof vertex information is vital for 3D roof structures. Reconstructing 3D roof structures from
point cloud data using traditional methods remains a challenge because their extracted roof …

Semantic segmentation of urban areas using Light Detection and Ranging (LiDAR) point
cloud data is challenging due to the complexity, outliers, and heterogeneous nature of the …

Communication towers provide reliable wireless communication services and play a vital
role in modern society. This paper presents an automatic 3D reconstruction framework for …

Planar features serve as an important component in point cloud registration and
reconstruction. However, extracting planes in the point clouds collected by a 3-D LiDAR …

Building facade structures serve as important data support for three-dimensional (3D)
building modelling. A building facade structure extraction method based on 3D Laser Point …