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Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions

Development, Testing and Verification

  • Harald Waschl
  • Ilya Kolmanovsky
  • Frank Willems

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 476)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Gina Wessel, Eugen Altendorf, Constanze Schreck, Yigiterkut Canpolat, Frank Flemisch
    Pages 1-27
  3. Frank Willems, Peter van Gompel, Xander Seykens, Steven Wilkins
    Pages 29-45
  4. Philipp Junietz, Walther Wachenfeld, Valerij Schönemann, Kai Domhardt, Wadim Tribelhorn, Hermann Winner
    Pages 47-65
  5. Sebastian Gerwinn, Eike Möhlmann, Anja Sieper
    Pages 67-87
  6. Nan Li, Mengxuan Zhang, Yildiray Yildiz, Ilya Kolmanovsky, Anouck Girard
    Pages 89-106
  7. Harald Waschl, Roman Schmied, Daniel Reischl, Michael Stolz
    Pages 107-131
  8. Wynita Griggs, Rodrigo Ordóñez-Hurtado, Giovanni Russo, Robert Shorten
    Pages 133-154
  9. G. Nestlinger, A. Rupp, P. Innerwinkler, H. Martin, M. Frischmann, J. Holzinger et al.
    Pages 155-174
  10. Alexander Katriniok, Peter Kleibaum, Martina Joševski
    Pages 175-199
  11. Alex G. Cunningham, Enric Galceran, Dhanvin Mehta, Gonzalo Ferrer, Ryan M. Eustice, Edwin Olson
    Pages 201-223

About this book

Introduction

This book describes different methods that are relevant to the development and testing of control algorithms for advanced driver assistance systems (ADAS) and automated driving functions (ADF). These control algorithms need to respond safely, reliably and optimally in varying operating conditions. Also, vehicles have to comply with safety and emission legislation. 

The text describes how such control algorithms can be developed, tested and verified for use in real-world driving situations. Owing to the complex interaction of vehicles with the environment and different traffic participants, an almost infinite number of possible scenarios and situations that need to be considered may exist. The book explains new methods to address this complexity, with reference to human interaction modelling, various theoretical approaches to the definition of real-world scenarios, and with practically-oriented examples and contributions, to ensure efficient development and testing of ADAS and ADF. 

Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions is a collection of articles by international experts in the field representing theoretical and application-based points of view. As such, the methods and examples demonstrated in the book will be a valuable source of information for academic and industrial researchers, as well as for automotive companies and suppliers.

Keywords

Automotive Systems Verfication of Cyber-physical Systems Control System Design Intelligent Unmanned Driving Development of Advanced Driving Functions Control of Cyber-physical Systems Intelligent Transportation

Editors and affiliations

  • Harald Waschl
    • 1
  • Ilya Kolmanovsky
    • 2
  • Frank Willems
    • 3
  1. 1.Institute for Design and Control of Mechatronical SystemsJohannes Kepler University LinzLinzAustria
  2. 2.Department of Aerospace EngineeringUniversity of MichiganAnn ArborUSA
  3. 3.Department of Mechanical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-91569-2
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-319-91568-5
  • Online ISBN 978-3-319-91569-2
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • Buy this book on publisher's site