Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions

Provides a detailed treatment of control development, testing and verification of advanced driving functions and driver assistance systems

Describes formal approaches to verification of such systems and at the same time presents real-world applications and examples Includes a diverse set of perspectives on this large, interdisciplinary area, covering the topic of partially automated driving and driver assistance functions

Autorentext
Harald Waschl is Assistant Professor at the Johannes Kepler University Linz, where he is with the Institute for Design and Control of Mechatronical systems. He is working there in the field of optimal and model based control for automotive applications and testing of advanced driving functions. Ilya Kolmanovsky is a Professor of Aerospace Engineering at the University of Michigan with research interests in control applications to automotive and aerospace systems. Prior to joining the University of Michigan, he has close to 15 years of industrial research experience in powertrain control at Ford Research and Advanced Engineering.

Frank Willems is a Professor at Eindhoven University of Technology in the Mechanical Engineering, Control Systems Technology department. He is further a senior research scientist at TNO Automotive in Helmond in the Powertrains department.

Inhalt
Chapter 1. Introduction - Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions: Development, Testing and Verication.- Chapter 2. Cooperation and the Role of Autonomy in Automated Driving.- Chapter 3. Robust, Real-world Emissions by Integrated ADF and Powertrain Control Development.- Chapter 4. Gaining Knowledge on Automated Driving's Safety The risk-free VAAFO Tool.- Chapter 5. Statistical Model Checking for Scenario-based Verication of ADAS.- Chapter 6. Game Theory Based Trafc Modeling for Calibration of Automated Driving Algorithms.- Chapter 7. A Virtual Development and Evaluation Framework for ADAS - Case Study of a P-ACC in a Connected Environment.- Chapter 8. A Vehicle-in-the-Loop Emulation Platform for Demonstrating Intelligent Transportation Systems.- Chapter 9. Virtual Concept Development on the Example of a Motorway Chauffeur.- Chapter 10. Automation of Road Intersections Using Distributed Model Predictive Control.- Chapter 11. MPDM: Multi-policy Decision-making from Autonomous Driving to Social Robot Navigation.