Automated Driving : Safer and More Efficient Future Driving
Language: English
Published by Birkhäuser, 2018
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 367.98
Quantity: 1 available
Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - The main topics of this book include advanced control, cognitive data processing, high performance computing, functional safety, and comprehensive validation. These topics are seen as technological bricks to drive forward automated driving.The current state of the art of automated vehicle research, development and innovation is given. The book also addresses industry-driven roadmaps for major new technology advances as well as collaborative European initiatives supporting the evolvement of automated driving. Various examples highlight the state of development of automated driving as well as the way forward.The book will be of interest to academics and researchers within engineering, graduate students, automotive engineers at OEMs and suppliers, ICT and software engineers, managers, and other decision-makers.
Seller Inventory # 9783319811468
- Title
- Automated Driving : Safer and More Efficient Future Driving
- Author
- Daniel Watzenig
- Publisher
- Birkhäuser
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319811460
- ISBN 13
- 9783319811468
- Item weight
- 955 grams
- Dimensions
- 235x155x35 mm
The current state of the art of automated vehicle research, development and innovation is given. The book also addresses industry-driven roadmaps for major new technology advances as well as collaborative European initiatives supporting the evolvement of automated driving. Various examples highlight the state of development of automated driving as well as the way forward.
The book will be of interest to academics and researchers within engineering, graduate students, automotive engineers at OEMs and suppliers, ICT and software engineers, managers, and other decision-makers.
"Synopsis" may belong to another edition of this title.
About the Author
Daniel Watzenig was born in Austria. He received his Master degree in electrical engineering and the doctoral degree in technical science from Graz University of Technology, Graz, Austria, in 2002 and 2006, respectively. He is currently divisional director of the automotive electronics and embedded software department of the Virtual Vehicle Research Center in Graz. Since 2009 he is an Associate Professor at the Institute of Electrical Measurement and Measurement Signal Processing, Graz University of Technology, Austria. He is author or co-author of over 120 peer-reviewed papers, book chapters, patents, and articles. His research interests focus on sensor fusion and signal processing, automotive control systems, uncertainty estimation, and robust optimization methods. In 2005 he was a visiting researcher at the University of Auckland, New Zealand, working on multi-sensor arrays and statistical signalprocessing. In 2011 he was visiting researcher and guest lecturer at the Federal University of Rio de Janeiro. He is IEEE Senior Member of the IEEE Control Systems, Signal Processing and Instrumentation & Measurement Societies. Furthermore, he is Vice President and member of the steering board of the EU ARTEMIS Industrial Association.
Martin Horn was born in Austria. He received his Master degree in electrical engineering and the doctoral degree in technical science from Graz University of Technology, Graz, Austria, in 1992 and 1998, respectively. From 2003 to 2008 he was is an Associate Professor at the Institute of Automation and Control at Graz University of Technology. From 2008 to 2014 he was full professor for Control and Mechatronic Systems at Klagenfurt University. Since 2014 he is full professor for Automation and Control at Graz University of Technology. He is author or co-author of around 100 peer-reviewed papers, book chapters, patents, and articles. His research interests focus on automotive control systems, robust control, variable structure systems and robust observer design.
"About the title" may belong to another edition of this title.
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