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

AUTOMATIC ROAD EXTRACTION FROM DENSE URBAN AREA BY INTEGRATED
PROCESSING OF HIGH RESOLUTION IMAGERY AND LIDAR DATA Page 1 AUTOMATIC …

Road information acquisition is an important part of city informatization construction.
Airborne LiDAR provides a new means of acquiring road information. However, the existing …

Road extraction from high-resolution remote sensing images is a challenging but hot
research topic in the past decades. A large number of methods are invented to deal with this …

Road extraction from digital images is of fundamental importance in the context of automatic
mapping, effective urban planning and updating GIS databases. Very high spatial resolution …

Accurate 3D road information is important for applications such as road maintenance and
virtual 3D modeling. Mobile laser scanning (MLS) is an efficient technique for capturing …

Mobile LiDAR technology is currently one of the attractive topics in the fields of remote
sensing and laser scanning. Mobile LiDAR enables a rapid collection of enormous volumes …

As a significant role for traffic management, city planning, road monitoring, GPS navigation
and map updating, the technology of road extraction from a remote sensing (RS) image has …

ABSTRACT Three-dimensional (3D) data of roadways are frequently used for extraction of
detailed roadway information which is essential for several planning and engineering …

This paper describes a method for extracting roads from a large scale unstructured 3D point
cloud of an urban environment consisting of many superimposed scans taken at different …