Automatisiertes Fahren 2019

Chapter 1 Validation of level 4-5 functions with a cloud-based simulation

Chapter 2 Handling complex systems: systems design for AD vehicles

Chapter 3 HAD development game changers and changing SW creation

Chapter 4 Start the flow! Why timing of autonomous driving functions needs to be taken into account at an early stage

Chapter 5 High-performance data acquisition and replay

Chapter 6 Driver assistance systems and automated driving functions – impact potentials, challenges and solutions from the point of view of the AZT

Chapter 7 Vehicle Data for Automated Driving over the Vehicles Lifecycle

Chapter 8 Haftungsfragen im Zusammenhang mit hoch- und vollautomatisierten Fahrzeugen

Chapter 9 Allocation of liability costs between motor insurers and vehicle manufacturers – an analysis of the current liability and insurance framework for automated vehicles

Chapter 10 Is artificial intelligence the solution to all our problems? Exploring the applications of AI for automated driving

Chapter 11 Artificial intelligence for automated driving – quo vadis?

Chapter 12 Training and validation of neural networks in virtual environments

Chapter 13 Methodology for the generation and execution of scenarios for the virtual driving test with automated driving functions

Chapter 14 Solving the validation challenge of automated driving with a holistic test center

Chapter 15 Toolbox for test planning and test realization of scenario-based field tests for automated and connected driving

Chapter 16 Fusion of raw sensor data for testing applications in autonomous driving

Chapter 17 Core components of automated driving – algorithms for situation analysis, decision-making, and trajectory planning

Chapter 18 Do you trust driverless vehicles?

Chapter 19 Keeping the balance between overload and underload during partly automated driving: relevant secondary tasks

Chapter 20 Haptic shared control of electric power steering – a key enabler for driver automation system cooperation