Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book includes contributions on the latest model-based methods for the development of personal and commercial vehicle control devices. The main topics treated are: application of simulation and model design to development of driver assistance systems; physical and database model design for engines, motors, powertrain, undercarriage and the whole vehicle; new simulation tools, methods and optimization processes; applications of simulation in function and software development; function and software testing using HiL, MiL and SiL simulation; application of simulation and optimization in application of control devices; automation approaches at all stages of the development process.

Applied physical engineering --- Transport engineering --- powertrain --- ADAS (advanced driver assistance system) --- motorrijtuigen --- ingenieurswetenschappen

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book contains 51 papers covering the past eight years (1999-2006) of research on object detection, collision warning, and collision avoidance.

Topics covered include:

- Parking aids
- Target tracking with cameras
- Sensor combinations
- Blind spot detection
- Imager chips
- Lane tracking
- Lane and road departure warning
- Sensor fusion
- Intersection collision warning
- Front- and rear-end crash avoidance
- Automatic collision avoidance systems
- Braking systems for collision avoidance
- Driver-vehicle interface requirements

The book also includes editor Ronald K. Jurgen's introduction ("New Sensors Are Key") and a concluding section looking at future trends and needs in important areas such as driver assistance, human factors, and automotive electronics.


Motorcars engineering --- botsingen --- veiligheid (autotechnologie) --- parkeren --- ADAS (advanced driver assistance system) --- camera's --- auto's --- sensoren

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book features works from world-class experts from academia, industry, and national agencies focusing on a wide spectrum of automotive fields towards humanvehicle harmonization covering in-vehicle signal processing, driver modeling, systems and safety. The essays collected in this volume present cutting-edge studies on safety, driver behavior, infrastructure, and human-to-vehicle interfaces.

ADAS, Human-Vehicle Harmonization. --- Driver Safety. --- In-Vehicle dialogue. --- audio and video processing.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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