Object recognition, segmentation, and classification of mobile laser scanning point clouds: A state of the art review

E Che, J Jung, MJ Olsen - Sensors, 2019 - mdpi.com
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 …

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 …

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 …

Automated highway sign extraction using lidar data

S Gargoum, K El-Basyouny… - Transportation …, 2017 - journals.sagepub.com
Traffic signs are integral elements of any transportation network; however, keeping records
of those signs and their condition is a tedious, time-consuming, and labor-intensive process …

Novel approach to automatic traffic sign inventory based on mobile mapping system data and deep learning

J Balado, E González, P Arias, D Castro - Remote Sensing, 2020 - mdpi.com
Traffic signs are a key element in driver safety. Governments invest a great amount of
resources in maintaining the traffic signs in good condition, for which a correct inventory is …

[HTML][HTML] Occlusion detection of traffic signs by voxel-based ray tracing using highly detailed models and MLS point clouds of vegetation

PR Hirt, J Holtkamp, L Hoegner, Y Xu, U Stilla - International Journal of …, 2022 - Elsevier
Visibility analysis plays a vital role in the design and placing of traffic signs in the urban
street environment. This work investigates the occlusion detection of traffic lights and traffic …

Multiscale supervised classification of point clouds with urban and forest applications

C Cabo, C Ordóñez, F Sáchez-Lasheras… - Sensors, 2019 - mdpi.com
We analyze the utility of multiscale supervised classification algorithms for object detection
and extraction from laser scanning or photogrammetric point clouds. Only the geometric …

Understanding dynamic data interaction between civil integrated management technologies: a review of use cases and enabling techniques

T Le, F Hassan, C Le, HD Jeong - International Journal of …, 2022 - Taylor & Francis
Civil integrated management (CIM) has emerged as an advanced paradigm to transform
transportation project delivery and asset management from a paper-based to a digital data …

Analysis and fusion of 2d and 3d images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with deep …

DR Bruno, DO Sales, J Amaro… - 2018 International Joint …, 2018 - ieeexplore.ieee.org
This paper presents a system for detection and recognition of traffic signs using 2D images
and 3D scene data. The detection and recognition of the 3D structures (pole and signs) and …

Joint 2-D–3-D traffic sign landmark data set for geo-localization using mobile laser scanning data

C You, C Wen, C Wang, J Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper presents a framework to build a joint 2-D-3-D traffic sign landmark data set for
geo-localization using mobile laser scanning (MLS) data. The MLS data include 3-D point …