Extracting roads from satellite imagery is a promising approach to update the dynamic
changes of road networks efficiently and timely. However, it is challenging due to the …

Extracting roads from complex high-resolution remote sensing images to update road
networks has become a recent research focus. How to apply the contextual spatial …

In this paper, a new two-step approach (detecting and pruning) for automatic extraction of
road networks from aerial images is presented. The road detection step is based on shape …

The process of road extraction from high-resolution satellite images is complex, and most
researchers have shown results on a few selected set of images. Based on the satellite data …

Mountain roads are a source of important basic geographic data used in various fields. The
automatic extraction of road images through high-resolution remote sensing imagery using …

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 …

The generation of digital maps with lane-level resolution is rapidly becoming a necessity, as
semi-or fully-autonomous driving vehicles are now commercially available. In this paper, we …

The development of intelligent vehicle systems has resulted in an increased need for a high-
precision road map. However, conventional road maps that are used for vehicle navigation …

Over the last few years, electronic vehicle guidance systems have become increasingly
more popular. However, despite their ubiquity, performance will always be subject to …

A width and color based geometric active deformable model is proposed for road network
extraction from remote sensing images with minimal human interception. Orientation and …