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Automated Driving: Safer and More Efficient Future Driving: 2016 Aus Stock

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AUD603,95
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Ubicado en: Melbourne, Australia
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N.º de artículo de eBay:284196960239
Última actualización el 16 oct 2025 13:36:07 H.EspVer todas las actualizacionesVer todas las actualizaciones

Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
Type
Book
Brand
Springer
MPN
Does not apply
Manufacturer Part Number
Does not apply
ISBN
9783319318936

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Product Information

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 techlogical bricks to drive forward automated driving. The current state of the art of automated vehicle research, development and invation is given. The book also addresses industry-driven roadmaps for major new techlogy 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.

Product Identifiers

Publisher
Springer International Publishing Ag
ISBN-10
3319318934
ISBN-13
9783319318936
eBay Product ID (ePID)
223576859

Product Key Features

Book Title
Automated Driving : Safer and more Efficient Future Driving
Number of Pages
Xvii, 620 Pages
Language
English
Publication Year
2016
Illustrator
Yes
Genre
Technology & Engineering, Transportation
Author
Martin Horn
Format
Hardback

Dimensions

Item Weight
379.4 Oz
Item Length
9.3 in
Item Width
6.1 in
Height
235mm
Width
155mm
Weight
1118g

Additional Product Features

Date of Publication
24/09/2016
Subject
Transport Technology
Intended Audience
Trade
Place of Publication
Cham
Spine
35mm
Country of Publication
Switzerland
Edited by
Martin Horn, Daniel Watzenig
Author Biography
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 signal processing. 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.
Content Note
84 Black & White Illustrations, 171 Colour Illustrations, 151 Colour Tables, Biography

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