Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry
Point clouds acquired through laser scanning and stereo vision techniques have been
applied in a wide range of applications, proving to be optimal sources for map** 3D urban …
applied in a wide range of applications, proving to be optimal sources for map** 3D urban …
Review of automatic processing of topography and surface feature identification LiDAR data using machine learning techniques
Machine Learning (ML) applications on Light Detection And Ranging (LiDAR) data have
provided promising results and thus this topic has been widely addressed in the literature …
provided promising results and thus this topic has been widely addressed in the literature …
Virtual assessment of sight distance limitations using LiDAR technology: Automated obstruction detection and classification
SA Gargoum, L Karsten - Automation in Construction, 2021 - Elsevier
The amount of sight distance available to drivers is an extremely critical design element with
significant impacts on the safe operation of highways. If the available sight distance on a …
significant impacts on the safe operation of highways. If the available sight distance on a …
A literature synthesis of LiDAR applications in transportation: Feature extraction and geometric assessments of highways
Interest in using Light Detection and Ranging (LiDAR) technology in Transportation
Engineering has grown over the past decade. The high accuracy of LiDAR datasets and the …
Engineering has grown over the past decade. The high accuracy of LiDAR datasets and the …
Extracting diameter at breast height with a handheld mobile LiDAR system in an outdoor environment
S Zhou, F Kang, W Li, J Kan, Y Zheng, G He - Sensors, 2019 - mdpi.com
Mobile laser scanning (MLS) is widely used in the map** of forest environments. It has
become important for extracting the parameters of forest trees using the generated …
become important for extracting the parameters of forest trees using the generated …
BushNet: Effective semantic segmentation of bush in large-scale point clouds
Effective and robust semantic segmentation of bush is the fundamental problem of
agroforestry environment understanding. However, the point cloud data of most large-scale …
agroforestry environment understanding. However, the point cloud data of most large-scale …
Automated traffic sign change detection using low-cost LiDAR scans and unsupervised machine learning
Current practices in traffic sign monitoring heavily rely on manual inspections, a method that
is both time-consuming and prone to human error. This leads to inefficiencies in the …
is both time-consuming and prone to human error. This leads to inefficiencies in the …
Safety assessment of urban intersection sight distance using mobile lidar data
This paper proposes an automated framework that utilizes Light Detection and Ranging
(LiDAR) point cloud data to map and detect road obstacles that impact drivers' field of view …
(LiDAR) point cloud data to map and detect road obstacles that impact drivers' field of view …
Automated assessment of passing sight distance on rural highways using mobile LiDAR data
Providing sufficient Available Sight Distance (ASD) that meets the minimum design
requirements is crucial for highway safety. Previous work on sight distance assessment …
requirements is crucial for highway safety. Previous work on sight distance assessment …
Voxel-based methodology for automated 3D sight distance assessment on highways using mobile light detection and ranging data
Ensuring that the available sight distance (ASD) on highways meets the minimum
requirements of geometric design standards is crucial for safe and efficient operation of …
requirements of geometric design standards is crucial for safe and efficient operation of …