Abstract

The 2WIDE_SENSE (WIDE spectral band & WIDE dynamics multifunctional imaging SENSor Enabling safer car transportation) EU funded project is aimed at the development of a low-cost camera sensor for Advanced Driver Assistance Systems (ADAS) applications able to acquire the full visible to Short Wave InfraRed (SWIR) spectrum from 400 to 1700 nm. This paper presents the first results obtained by investigating the SWIR contribution to pedestrian detection in difficult visibility conditions as haze and fog employing the wide-bandwidth camera developed within the project. Document type: Part of book or chapter of book

Abstract

Although pilots are often supported by signage, markings and lighting when taxiing on the airport surface, navigation and monitoring remain workload intense tasks even in good weather conditions. Radio communication is near capacity limits on many airports today resulting in waiting times and delay. Apart from well-known safety issues this also constitutes a negative impact on the environment. The European aviation research program SESAR addressed this problem and came up with a solution: A new surface traffic management concept proposes the automated use of Airfield Ground Lighting with individually switched green taxiway centerline lights indicating the path to be followed. This paper presents official validation results indicating that SESAR developed a safer, quicker and greener surface traffic management concept. Document type: Part of book or chapter of book

Abstract

Intelligent Transportation Systems emerged to meet the increasing demand for more efficient, reliable and safer transportation systems. These systems combine electronic, communication and information technologies with traffic engineering to respond to the former challenges. The benefits of Intelligent Transportation Systems have been extensively proved in many different facets of transport and Soft Computing has played a major role in achieving these successful results. This book chapter aims at gathering and discussing some of the most relevant and recent advances of the application of Soft Computing in four important areas of Intelligent Transportation Systems as autonomous driving, traffic state prediction, vehicle route planning and vehicular ad hoc networks. Document type: Part of book or chapter of book

Abstract

Automation has been introduced more and more into the role of air traffic control (ATC). As with many other areas of human activity, automation has the objective of reducing the complexity of the task so that performance is optimised and safer. However, automation can also have negative effects on cognitive processing and the performance of the controllers. In this paper, we present the progress made at AUTOPACE, a European project in which research is carried out to discover what these negative effects are and to propose measures to mitigate them. The fundamental proposal of the project is to analyse, predict, and mitigate these negative effects by assessing the complexity of ATC in relation to the mental workload experienced by the controller. Hence, a highly complex situation will be one with a high mental workload and a low complex situation will be one in which the mental workload is low. Document type: Part of book or chapter of book