An efficient statistical algorithm of automatic extracting road from SAR images is devised in this paper. First, an feature detecting operator is used to find the road candidate. Then another smaller operator which calculating the homogenous statistic of locate region is applied to reduce the false alarm and smooth the road edge. Finally, the road linear features are extracted by fusing the res...

Maps contain abundant geospatial information, such as roads, settlements, and river networks, to name a few. The need access this information carry out analyses (e.g., in transportation, landscape planning, or ecology), well advances software hardware technologies, have driven the development of workflows efficiently extract features from maps. aim article is provide comprehensive overview meth...

When a natural disaster occurs, road maintenance departments always face the challenge of how to assign repair resources properly recover damaged segments as soon possible. From literature review, most studies treat such problems vehicle routing problem (VRP). In those studies, are dispatched complete crews, and cannot be divided into smaller scales. Furthermore, each point is only allowed one ...

Road crack detection is one of the important issues in field traffic safety and urban planning. Currently, road damage varies type scale, often has different sizes depths, making task more challenging. To address this problem, we propose a Cross-Attention-guided Feature Alignment Network (CAFANet) for extracting integrating multi-scale features damage. Firstly, use dual-branch visual encoder mo...

The objective of this research is to improve traffic safety through collecting and distributing up-to-date road surface condition information using mobile phones. Road surface condition information is seen useful for both travellers and for the road network maintenance. The problem we consider is to detect road surface anomalies that, when left unreported, can cause wear of vehicles, lesser dri...

In most urban roads, and similar environments such as in theme parks, campus sites, industrial estates, science parks and the like, the painted lane markings that exist may not be easily discernible by CCD cameras due to poor lighting, bad weather conditions, and inadequate maintenance. An important feature of roads in such environments is the existence of pavements or curbs on either side defi...

We present a system that finds road boundaries and constructs the virtual lane based on fusion data from a laser and a monocular sensor, and detects forward vehicle position even in no lane markers or bad environmental conditions. When the road environment is dark or a lot of vehicles are parked on the both sides of the road, it is difficult to detect lane and road boundary. For this reason we ...

Road condition data are very important in transportation management system. Conventional data collection approach is time-consuming and labor intensive. This paper reports the developed techniques for 3D road surface reconstruction in support of unpaved road distress assessment using imagery acquired from a Unmanned Aviation Vehicle (UAV)-based imaging system. This system, produced in a project...