Using 3D Mobile Mapping to Evaluate Intersection Design Through Drivers’ Visual Perception
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2896217
Abstract: At intersections, road features related to different maneuvers, such as left-turn, right-turn, and central channelization (i.e., guidelines and channelized islands), are widely used to decrease the traffic conflicts and improve the safety and mobility of… read more here.
Keywords: visual perception; drivers visual; mobile mapping; channelization ... See more keywords
Mobile Mapping System for Automatic Extraction of Geodetic Coordinates for Traffic Signs Based on Enhanced Point Cloud Reconstruction
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DOI: 10.1109/access.2022.3219415
Abstract: Lidar sensors are commonly equipped on a mobile mapping system (MMS) to establish point clouds for HD map creation. However, the point clouds themselves do not contain object attributes. Therefore, human operators have to manually… read more here.
Keywords: mapping system; point cloud; traffic; traffic signs ... See more keywords
Adaptive Segmentation of Large-Scale Anisotropic Point-Clouds Captured by Mobile Mapping Systems
Sign Up to like & getrecommendations! Published in 2018 at "Computer-aided Design and Applications"
DOI: 10.14733/cadconfp.2018.293-297
Abstract: A mobile mapping system (MMS) is effective for capturing dense point-clouds of roads and roadside objects. In order to create 3D models from huge point-clouds, it is necessary to efficiently extract objects from point-clouds. However,… read more here.
Keywords: large scale; anisotropic point; clouds captured; point clouds ... See more keywords
Pavement Distress Detection with Deep Learning Using the Orthoframes Acquired by a Mobile Mapping System
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9224829
Abstract: The subject matter of this research article is automatic detection of pavement distress on highway roads using computer vision algorithms. Specifically, deep learning convolutional neural network models are employed towards the implementation of the detector.… read more here.
Keywords: detection; orthoframes acquired; pavement distress; deep learning ... See more keywords