Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions

✍ Scribed by Harald Waschl, Ilya Kolmanovsky, Frank Willems

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 235
• Series: Lecture Notes in Control and Information Sciences 476
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xviii
Cooperation and the Role of Autonomy in Automated Driving (Gina Wessel, Eugen Altendorf, Constanze Schreck, Yigiterkut Canpolat, Frank Flemisch)....Pages 1-27
Robust Real-World Emissions by Integrated ADF and Powertrain Control Development (Frank Willems, Peter van Gompel, Xander Seykens, Steven Wilkins)....Pages 29-45
Gaining Knowledge on Automated Driving’s Safety—The Risk-Free VAAFO Tool (Philipp Junietz, Walther Wachenfeld, Valerij Schönemann, Kai Domhardt, Wadim Tribelhorn, Hermann Winner)....Pages 47-65
Statistical Model Checking for Scenario-Based Verification of ADAS (Sebastian Gerwinn, Eike Möhlmann, Anja Sieper)....Pages 67-87
Game Theory-Based Traffic Modeling for Calibration of Automated Driving Algorithms (Nan Li, Mengxuan Zhang, Yildiray Yildiz, Ilya Kolmanovsky, Anouck Girard)....Pages 89-106
A Virtual Development and Evaluation Framework for ADAS—Case Study of a P-ACC in a Connected Environment (Harald Waschl, Roman Schmied, Daniel Reischl, Michael Stolz)....Pages 107-131
A Vehicle-in-the-Loop Emulation Platform for Demonstrating Intelligent Transportation Systems (Wynita Griggs, Rodrigo Ordóñez-Hurtado, Giovanni Russo, Robert Shorten)....Pages 133-154
Virtual Concept Development on the Example of a Motorway Chauffeur (G. Nestlinger, A. Rupp, P. Innerwinkler, H. Martin, M. Frischmann, J. Holzinger et al.)....Pages 155-174
Automation of Road Intersections Using Distributed Model Predictive Control (Alexander Katriniok, Peter Kleibaum, Martina Joševski)....Pages 175-199
MPDM: Multi-policy Decision-Making from Autonomous Driving to Social Robot Navigation (Alex G. Cunningham, Enric Galceran, Dhanvin Mehta, Gonzalo Ferrer, Ryan M. Eustice, Edwin Olson)....Pages 201-223

✦ Subjects

Engineering; Control; Automotive Engineering; Systems Theory, Control; User Interfaces and Human Computer Interaction; Transportation Technology and Traffic Engineering