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Foreword; Preface; Contents; Contributors; Part I Introduction; 1 Introduction to Automated Driving; 1.1 Introduction; 1.2 Levels of Automation; 1.2.1 Scenarios and Impact of Automation Levels 2-5 According to [7]; 1.3 Building Blocks for Automated Driving: Key Technologies; 1.4 Enabling Automated Driving: The Research Challenges; 1.4.1 Demonstrating Safety, Reliability, and Robustness; 1.4.2 Demonstrating Security and Privacy; 1.4.3 Dependable Power Computing; 1.4.4 Human Factor (SAE Level 3/4); 1.4.5 Environment Modeling and Perception; 1.4.6 Vehicle Control and Actuation.

1.4.7 Digital Infrastructure1.5 Conclusion; References; 2 Privacy and Security in Autonomous Vehicles; 2.1 Introduction and Definition of Terminology; 2.2 Principles of Autonomous Driving; 2.2.1 Technological Principles; 2.2.2 Data Principles; 2.3 Status of What Exists Today; 2.4 Future Expectations for Autonomous Driving; 2.5 Building Social Trust; 2.6 Impact on Industry; 2.7 Next Steps; 2.8 Conclusions; 3 Automated Driving from the View of Technical Standards; 3.1 Introduction; 3.2 Standard Developing Organizations; 3.3 Standard Developing Organizations.

3.4 Standard Developing Organizations3.4.1 Vehicle-Related Standards; 3.4.2 Communication-Related Standards; 3.5 Road Map of Automation and Future Standardization; References; Part II The Importance of Control for Automated Driving; 4 Survey on Control Schemes for Automated Driving on Highways; 4.1 Introduction; 4.1.1 Problem Statement; 4.1.2 Trajectory Generation; 4.1.2.1 Polynomial Approach; 4.1.3 Control Concepts; 4.1.3.1 PID Control; 4.1.3.2 Fuzzy Control; 4.1.3.3 Neural Networks; 4.1.3.4 Linear Quadratic Regulator; 4.1.3.5 Feedback Linearization; 4.1.3.6 Sliding Mode Control.

4.1.3.7 Model Predictive Control4.1.3.8 H Control; 4.1.4 Partitioning the Problem; 4.2 Fuzzy Control; 4.3 Linear State Feedback Control; 4.4 Sliding Mode Control; 4.5 Model Predictive Control; 4.6 Other Concepts; 4.7 Autonomous Vehicles; 4.8 Comparison; 4.8.1 Simulation Example; 4.9 Outlook; References; 5 Path Tracking for Automated Driving: A Tutorial on Control System Formulations and Ongoing Research; Nomenclature ; 5.1 Introduction; 5.2 Methods Based on Geometric and Kinematic Relationships; 5.2.1 Pure Pursuit Method; 5.2.2 Stanley Method.

5.2.3 Chained Controller Based on Vehicle Kinematics5.3 Methods Based on Conventional Feedback Controllers and Simplified Vehicle Dynamics Models; 5.3.1 Simple Feedback Formulations; 5.3.2 Linear Quadratic Regulators; 5.3.2.1 Basic Linear Quadratic Formulation; 5.3.2.2 Linear Quadratic Regulator with Feedforward Contribution; 5.3.2.3 Linear Quadratic Regulator with Preview; 5.3.2.4 Frequency-Shaped Linear Quadratic Control; 5.4 Other Control Structures for Path Tracking and Remarks; 5.4.1 Sliding Mode Controllers; 5.4.2 Other Control Structures; 5.4.3 Remarks.

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