Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions

Development, Testing and Verification

AvHarald Waschl,Ilya Kolmanovsky

Inbunden, Engelska, 2018

Del i serien Lecture Notes in Control and Information Sciences

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Beskrivning

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).

Produktinformation

Utgivningsdatum:2018-06-29
Mått:155 x 235 x 17 mm
Vikt:532 g
Format:Inbunden
Språk:Engelska
Serie:Lecture Notes in Control and Information Sciences
Antal sidor:223
Förlag:Springer International Publishing AG
ISBN:9783319915685

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Mer om författaren

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.

Innehållsförteckning

Chapter 1. Introduction - Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions: Development, Testing and Veriﬁcation.- 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 Veriﬁcation of ADAS.- Chapter 6. Game Theory Based Trafﬁc 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.