This paper presents a coarse-to-refined method for segmenting road curbs from Mobile
Laser Scanning (MLS) point clouds, encompassing both organized and unorganized data …

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 …

Accurate road surface from a three-dimensional (3D) point cloud depends on various
parameters. One crucial parameter is the set of point features. Point features enable …

Currently, a point cloud extraction method based on geometric features requires the
configuration of two essential parameters: the neighborhood radius within the point cloud …

This study proposes and establishes a roadway longitudinal profile weighting model and
innovatively develops a process and method for evaluating road surface roughness. Initially …

With the rapid development of mobile laser scanning (MLS) technology, high-precision three-
dimensional (3D) point cloud data has shown great potential in different fields such as …

When robot creates a map, dynamic objects can change the space and render the map
unusable for navigation. Additionally, the vertical resolution of a VLP-16 LiDAR may be …

This study presents the evaluation of seven different machine learning (ML) models to
classify road surface from point cloud. The study begins with converting two-dimensional …