[HTML][HTML] Object recognition, segmentation, and classification of mobile laser scanning point clouds: A state of the art review
Mobile Laser Scanning (MLS) is a versatile remote sensing technology based on Light
Detection and Ranging (lidar) technology that has been utilized for a wide range of …
Detection and Ranging (lidar) technology that has been utilized for a wide range of …
[HTML][HTML] Review of laser scanning technologies and their applications for road and railway infrastructure monitoring
M Soilán, A Sánchez-Rodríguez, P del Río-Barral… - Infrastructures, 2019 - mdpi.com
Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …
Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors
Abstract Light Detection and Ranging (LiDAR) is a remote sensing technology widely used
in many areas ranging from making precise medical equipment to creating accurate …
in many areas ranging from making precise medical equipment to creating accurate …
A network-level sidewalk inventory method using mobile LiDAR and deep learning
Sidewalks are a critical infrastructure to facilitate essential daily trips for pedestrian and
wheelchair users. The dependence on the infrastructure and the increasing demand from …
wheelchair users. The dependence on the infrastructure and the increasing demand from …
Real-time smart video surveillance to manage safety: A case study of a transport mega-project
H Luo, J Liu, W Fang, PED Love, Q Yu, Z Lu - Advanced Engineering …, 2020 - Elsevier
There is a tendency for accidents and even fatalities to arise when people enter hazardous
work areas during the construction of projects in urban areas. A limited amount of research …
work areas during the construction of projects in urban areas. A limited amount of research …
Efficient and robust lane marking extraction from mobile lidar point clouds
Surveys of roadways with Mobile Laser Scanning (MLS) are now being conducted on a
regular basis by many transportation agencies to provide detailed geometric information to …
regular basis by many transportation agencies to provide detailed geometric information to …
[HTML][HTML] 3D point cloud to BIM: Semi-automated framework to define IFC alignment entities from MLS-acquired LiDAR data of highway roads
Building information modeling (BIM) is a process that has shown great potential in the
building industry, but it has not reached the same level of maturity for transportation …
building industry, but it has not reached the same level of maturity for transportation …
Automated extraction of road features using LiDAR data: A review of LiDAR applications in transportation
S Gargoum, K El-Basyouny - 2017 4th International …, 2017 - ieeexplore.ieee.org
Mobile Light Detection and Ranging (LiDAR) integrates laser scanning equipment, Global
Positioning Systems, and inertial navigation technologies into one system that can acquire …
Positioning Systems, and inertial navigation technologies into one system that can acquire …
[HTML][HTML] Road marking degradation analysis using 3D point cloud data acquired with a low-cost Mobile Mapping System
M Soilán, D González-Aguilera… - Automation in …, 2022 - Elsevier
Road maintenance is an important task that ensures the availability and correct function of
the road infrastructure. This work presents a methodology that, first, offers an empirical …
the road infrastructure. This work presents a methodology that, first, offers an empirical …
A literature synthesis of LiDAR applications in transportation: Feature extraction and geometric assessments of highways
SA Gargoum, K El Basyouny - GIScience & Remote Sensing, 2019 - Taylor & Francis
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 …