Severe weather avoidance programs (SWAP) due to convective weather are common in many of the busiest terminal areas in the US National Airspace System (NAS). In order to make efficient use of available airspace in rapidly evolving convective weather, it is necessary to predict the impacts of the weather on key resources (e.g., departure and arrival routes and fixes), with frequent updates as th...

The increasing number of vehicles in modern cities brings the problem of increasing crashes. One of the applications or services of Intelligent Transportation Systems (ITS) conceived to improve safety and reduce congestion is collision avoidance. This safety critical application requires sub-meter level vehicle state estimation accuracy with very high integrity, continuity and availability, to ...

Lateral support systems in vehicles have a high potential for reduction of lane departure crashes. To profit from their full potential, such should function properly adverse conditions. Literature indicates that accuracy varies between day and night-time. However, detailed quantifications the systems’ performance these conditions are rare. The aim this study is to investigate differences detect...

As safety and efficiency issues of transportation hand-in-hand with the intelligent vehicle concept – have gathered ground in the last few years in the automotive research community and have penetrated into the automotive industry, vision-based applications have become increasingly important in driver assistance systems (Kastrinaki et al., 2003; Bertozzi et al., 2002). The primary targets of th...