Airborne laser scanning (ALS) is a state-of-the-art technique for fast and accurate acquisition
of road network information. In this paper, an ALS data-based road extraction method, with …

Accurate road information is important for applications involving road maintenance,
intelligent transportation, and road network updates. Mobile laser scanning (MLS) can …

The applicability of Mobile Laser Scanning (MLS) systems continue to prove their worth in
route corridor mapping due to the rapid, continuous and cost effective 3D data acquisition …

This paper presents a new framework of road feature extraction from color component–
based data fusion of aerial imagery and lidar data. The proposed framework consists of six …

The road extraction in urban areas is difficult task due to the complicated patterns and many
contextual objects. LiDAR data directly provides three dimensional (3D) points with less …

With the rapid development of three-dimensional point cloud acquisition from mobile laser
scanning systems, the extraction of urban roads has become a major research focus …

Automated extraction of roads from remotely sensed data come forth various usages ranging
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …

Transportation agencies require up-to-date, reliable, and feasibly acquired information on
road geometry and features within proximity to the roads as input for evaluating and …

In recent years, the rapid increase in the demand for road information together with the
availability of large volumes of high resolution Earth Observation (EO) images, have drawn …

In this thesis, we present the experimental research and key contributions we have made in
the field of road feature extraction from LiDAR data. We detail the development of three …