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Advanced Driver-Assistance Systems (ADAS) provide the opportunity to increase road safety and driving comfort. Reviewing existing empirical work on comparable innovations, Patrick Planing derives potential acceptance constructs, which together with the results of thirty-two semi-structured interviews, have constituted the basis for a survey instrument that was consequently administered to a sample of over 400 participants from the target population. The resulting regression model shows that perceived safety and comfort benefits are most decisive for the acceptance of ADAS, while desire to exert control was found to most strongly support resistance to this technology. Contents ADAS Technology Defining Innovation, Acceptance, Adoption, Resistance, and Diffusion Qualitative and Quantitative Research on Innovation Acceptance Factors for the Acceptance of Advanced Driver-Assistance Systems Target Groups Researchers and students in the fields of economics and psychology Practitioners in the field of driver-assistance development and public institutions in the transport sector The Author Patrick Planing is a doctoral graduate from Leeds Metropolitan University, UK, and a visiting lecturer at various German universities. He currently holds a position in the Business Innovation Unit of a leading premium car manufacturer in Germany.

Methodology of economics --- Economics --- Marketing --- Business management --- Business economics --- financieel management --- bedrijfseconomie --- ADAS (advanced driver assistance system) --- economie --- management --- marketing

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The UR:BAN MV project funded by the German Federal Ministry for Economic Affairs and Energy BMWi focused specifically on the user of future vehicle assistance and information systems. In the case of advanced driver assistance systems for urban areas, the primary emphasis is safety in combination with efficiency and comfort. Research institutes and automotive industry have investigated human-vehicle interaction and behaviour of different traffic participants. This book gives a unique and comprehensive insight into the results. Driver assistance and information systems were optimized for use in urban settings. Furthermore, innovative test regimes for controllability testing and new evaluation techniques like networked simulators and virtual reality test-beds are described including statistical methodologies. The Content UR:BAN - the program.-  Human Factors in Traffic.- Urban Driving.- Human-Machine Interaction for Urban Environments.- Behaviour Prediction and Intention Detection.- Simulation and Modelling.- Controllability and Safety. The Target Groups Automotive Engineers and Human Factors Experts – Researchers in the area of traffic psychology and human factors in traffic – Students in human factors, information technology, mechanical and electrical engineering The Editors Prof. Klaus Bengler, Head of Chair of Ergonomics, Technical University of Munich; Project Leader UR:BAN MV "Human Factors in Traffic" Dr. Julia Drüke (born Werneke), Senior Expert Driver Interaction, Volkswagen AG, Group Research; Subproject Leader UR:BAN MMI “Human-Machine Interaction for Urban Environments” Dr. Silja Hoffmann, Head of Research Group on Modelling and Simulation, Technical University of Munich; Assistant Subproject Leader UR:BAN SIM “Simulation” Dr. Dietric h Manstetten, Chief Expert Human-Machine Interaction, Robert Bosch GmbH; Subproject Leader UR:BAN VIE “Behaviour Prediction and Intention Detection” Alexandra Neukum, Head of Research Group on Traffic Sciences, Würzburg Institute for Traffic Sciences GmbH; Subproject Leader UR:BAN KON „Controllability".

Applied physical engineering --- Motorcars engineering --- Transport engineering --- ADAS (advanced driver assistance system) --- motorrijtuigen --- machines --- ingenieurswetenschappen --- auto's

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Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of human’s appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness. In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 papers are referenced, most of them addressing pedestrian detection and others corresponding to the descriptors (features), pedestrian models, and learning machines used. In addition, an overview of topics such as real-time aspects, systems benchmarking and future challenges of this research area are presented.

Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- beeldverwerking --- ACC (adaptive cruise control) --- ADAS (advanced driver assistance system) --- computers --- grafische vormgeving --- computerkunde --- signaalverwerking

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By forming the link between the road surface and the vehicle, the chassis plays a key role in enhancing vehicle dynamics and ride comfort. With its control systems, it provides the basis for the further development of driver assistance systems which support the driver in the task of driving the vehicle. This applies to an even greater extent to autonomous vehicles. Electromechanical steering and steer-by-wire systems are one solution available. At the same time, the brake system as a safety component needs to be developed in such a way that it fulfills the requirements of powertrain hybridization and electrification. Contents New chassis systems.- Autonomous vehicles.- Ride comfort.- Chassis control systems.- Development methods.- Elastomeric bearings and wheel suspension.- Innovative materials and methods.- Steering feel and human-machine interface (HMI).- New steering concepts.- Development methods.- Future brake systems.- Brake dust.- Brake control systems and vibration.- Wheel technologies and trends.- Tire testing and simulation.- Tire performance and tire slip analyses. Target audiences Automotive engineers and chassis specialists as well as students looking for state-of-the-art information regarding their field of activity - Lecturers and instructors at universities and universities of applied sciences with the main subject of automotive engineering - Experts, researchers and development engineers of the automotive and the supplying industry Publisher ATZ live stands for top quality and a high level of specialist information and is part of Springer Nature, one of the leading publishing groups worldwide for scientific, educational and specialist literature. Partner TÜV SÜD is an international leading technical service organisation catering to the industry, mobility and certification segment.

Applied physical engineering --- Motorcars engineering --- Transport engineering --- ophanging (autotechnologie) --- chassis --- AGV (autonoom geleide voertuigen) --- elastomeren --- powertrain --- ADAS (advanced driver assistance system) --- motorrijtuigen --- machines --- ingenieurswetenschappen --- auto's

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The road vehicle of the future will embrace innovations from three major automotive technology fields: driver assistance systems, vehicle networking and alternative propulsion. Smart systems such as adaptive ICT components and MEMS devices, novel network architectures, integrated sensor systems, intelligent interfaces and functional materials form the basis of these features and permit their successful and synergetic integration. They increasingly appear to be the key enabling technologies for safe and green road mobility. For more than fifteen years the International Forum on Advanced Microsystems for Automotive Applications (AMAA) has been successful in detecting novel trends and in discussing the technological implications from early on. The topic of the AMAA 2013 will be “Smart Systems for Safe and Green Vehicles”. This book contains peer-reviewed papers written by leading engineers and researchers which all address the ongoing research and novel developments in the field. www.amaa.de.

Chemical structure --- Electronics --- Electrical engineering --- Applied physical engineering --- Motorcars engineering --- Transport engineering --- Transport. Traffic --- Biotechnology --- mechatronica --- nanotechniek --- groene chemie --- groene biotechnologie --- ADAS (advanced driver assistance system) --- biotechnologie --- elektriciteit --- transport --- motorrijtuigen --- elektronica --- ingenieurswetenschappen --- elektrische circuits --- auto's