Automated and reliable 3D city model acquisition is an increasing demand. Automatic road extraction from dense urban areas is a challenging issue due to the high complex image scene. From imagery, the obstacles of the extraction stem mainly from the difficulty of finding clues of the roads and complexity of the contextual environments. One of the promising methods to deal with this is to use da...

The urban road networks of the 20 largest German cities have been analysed, based on a detailed database providing the geographical positions as well as the traveltimes for network sizes up to 37,000 nodes and 87,000 links. As the human driver recognises travel-times rather than distances, faster roads appear to be ‘shorter’ than slower ones. The resulting metric space has an effective dimensio...

This paper investigates the effect of four driving forces, including elevation, slope, distance to drainage and distance to major roads, on urban expansion in five Saudi Arabian cities: Riyadh, Jeddah, Makkah, Al-Taif and Eastern Area. The prediction of urban probabilities in the selected cities based on the four driving forces is generated using a logistic regression model for two time periods...

Race conditions Urban and semi-urban parts of the city with both paved and un-paved roads, maximum recorded temperature during the race was 35° Celsius. A prospective descriptive epidemiological analysis of race data of runners presenting with emergencies was done using a standardized patient data collection form given to medical aid providers. Triaging was done according to Canadian triage and...

By 2050, two-thirds of the world’s 9.6 billion people will live in urban areas [2]. In many cities, opportunities to expand urban road networks are limited, so existing roads will need to more efficiently accommodate higher volumes of traffic. Consequently, there is a pressing need for technologically viable, low-cost solutions that can work with existing infrastructure to help alleviate increa...

We describe a multi-modal software system for executing navigation missions in an urban environment, focusing on the robust treatment of anomalous situations such as blocked roads, stalled vehicles and tight maneuvering. Various recovery mechanisms are described relative to the nominal mode of operation, and results are discussed from the system’s deployment in the DARPA Urban Challenge.

Virtual 3D city models represent spatial and geo-referenced urban data by means of 3D geovirtual environments that basically include terrain models, building models, vegetation models as well as models of roads and transportation systems. In general, these models serve to present, explore, analyze, and manage urban data. As a characteristic element, virtual 3D city models allow for visually int...

To design adequate measures for enhancing riders' safety, a necessary first step is to understand the riders' visual scanning strategies under different traffic conditions. This paper presents the preliminary analysis of eye tracking data collected by three riders in the Athens metropolitan area, riding along urban arterial motorways and along an undivided urban road. Apart from the fixation du...

Wetland ecosystems, particularly the mangrove forest, are the primary wild habitat of heronry birds. However, urban ecosystems have become a favorite breeding habitat of these birds. To provide inputs into the habitat management for conservation of these birds, we investigated the quantitative and qualitative characteristics of nesting trees of heronry birds in the urban environment of the Nort...

Object-based image analysis is becoming increasingly popular in classification of very high resolution (VHR) imagery over urban areas. The spectral resolution of VHR imagery (generally they possesses 1 pan and 4 multispectral bands), however, is limited and insufficient for differentiating many urban land cover classes. Due to the spectral similarity of building roofs, roads and parking lots, s...