Heterogeneous photocatalysis is a rapidly developing field in environmental engineering. It has a great potential to cope with the increasing pollution by traffic. The addition of a photocatalyst to ordinary building materials such as concrete, creates environmental friendly materials by which air pollution or pollution of the surface itself can be diminished. TiO2 is added to a cement mortar i...

The article presents an analysis of the urban transport system solutions in Rzeszow in terms of its optimization and implementation of new solutions. In the analysis the current traffic and communication solutions were taken into account, i.e. the network of the existing roads, road marking, traffic control and public transport traffic. In addition, the possibility of applying innovative soluti...

ABSTARCT: Most of the Indian rural and suburban roads are not ideal for driving due to improper and invisible road signs. This has led to many accidents causing loss of lives and severe damage to vehicles. Many techniques have been proposed in the past to detect these problems using image processing methods. But there has been little work specifically carried out for detecting the issue of road...

Aerial image analysis at a semantic level is important in many applications with strong potential impact in industry and consumer use, such as automated mapping, urban planning, real estate, environment monitoring or disaster relief. The problem is enjoying a great interest in computer vision and remote sensing, due to the increasing computational power and improvements in automated image under...

The transportation sector is severely correlated with major problems in environment, citizens’ health, climate and economy. Issues such as traffic, fuel cost and parking space have make life more difficult, especially in the dense urban environment. Thus, there is a great need for the development of the electric vehicle (EV) sector. The number of cars in cities has increased so much that the cu...

The idea of assessing the damages to roads network after earthquake strikes has been referred as a matter of importance for performing every systematically planned activity in the affected region. When gathering information about the devastated region is crucially costly and time-consuming and in most cases impossible, high-resolution satellite imagery is hired to provide fast and accurate info...

In this paper, we describe an extension of the automatic road extraction procedure developed for single SAR images towards multiaspect SAR images. Multi-aspect images illuminate the same scene, but from different directions. For the combination of the extracted information, a fusion technique is introduced. Each road segment is assessed according to its direction compared to the direction of th...

Canopy layer heat islands (CLHIs) in urban areas are a growing problem. In recent decades, the key issues have been how to monitor CLHIs at a large scale, and how to optimize the urban landscape to mitigate CLHIs. Taking the city of Wuhan as a case study, we examine the spatiotemporal trends of the CLHI along urban-rural gradients, including the intensity and footprint, based on satellite obser...

Autonomous driving in public roads requires precise localization within the range of few centimeters. Even the best current precise localization system based on the Global Navigation Satellite System (GNSS) can not always reach this level of precision, especially in an urban environment, where the signal is disturbed by surrounding buildings and artifacts. Laser range finder and stereo vision h...

This paper presents a multi-resolution approach for automatic extraction of roads from digital aerial imagery. Roads are modeled as a network of intersections and links between the intersections. For different context regions, i.e., rural, forest, and urban areas, the model describes relations between background objects, e.g., buildings or trees, and road objects, e.g., road-parts, road-segment...