Scenario-, Simulation- and Data-based Development, Validation and Safeguarding of Automated Driving Functions
The complexity of modern driver assistance systems and automated driving functions sometimes requires completely new methods and approaches for their development, validation and testing. In particular, the wide coverage and analysis of functions with numerical simulation over the entire operating range (the so-called Operational Design Domain) is an indispensable tool for the effective and efficient development of appropriate vehicle functions. The course is about presenting the basics of scenario-based and data-based development and putting them in a holistic context.
Who should attend?
The seminar addresses employees of automotive manufacturers, suppliers, engineering service providers, government agencies and research institutions, who are engaged in the development and validation of automated driving functions. In particular, method and process developers, simulation and test engineers are also addressed, who are responsible to implement corresponding processes and methods in their companies to ensure safe development and assessment of automated driving functions.
The course provides an overview and a brief introduction to the relevant scenario management methods for simulation and data-centric development and validation of automated driving functions. Some key basic principles in the development of complex systems are to be taught.
- Overview of the basic functions of automated driving
- Basics of Scenario and Data-based development
- Basics in Machine Learning, Data Mining and Artificial Intelligence
- Stochastic Simulation, Monte-Carlo-Simulation, Design-of-Experiments
- Optimization and automated calibration
- Robustness and complexity management
- Anomaly and fault detection
- Development processes for complex systems and software, top-down versus bottom-up
- Functional requirements management
- Validation and verification
- Definitions Operational Design Domain
- Effectiveness assessment of system functions and components
- Quality management for simulation data
Dr. Andreas Kuhn
Andata Entwicklungstechnologie GmbH
Dr. Andreas Kuhn studied Technical Mathematics and Mechanical Engineering at the Technical University of Vienna. After his dissertation on the simulation of special satellite formations for the European Space Agency, he began his professional career in crash simulation at BMW. After further years as a consultant for stochastic simulation at EASI Engineering GmbH (today carhs), he founded ANDATA in 2004, where he is responsible for development and research as managing partner. Since 2009 he has also been co-owner of Automotive Safety Technologies GmbH in Gaimersheim. His professional interests are founded in effective and efficient development, validation and assessment methods for complex, safety-critical systems. In particular, he has been working for more than 20 years on the development and combined application of methods from the fields of artificial intelligence, machine learning, advanced simulation methods, scenario-based approaches and according process models in the virtual development of vehicles and autonomous robots. His current activities are the development and implementation of cooperative, networked, automated driving strategies for effective traffic automation.
|07 Nov - 08 Nov 2022||Deutsch||1340 EUR (1590 EUR from 11 Oct 2022 )||3973|
|Alzenau (carhs.training gmbh, Siemensstraße 12, 63755 Alzenau)||» Register|
Dr. Andreas Kuhn (Andata Entwicklungstechnologie GmbH)
|Monday||09:00 - 17:00|
|Tuesday||09:00 - 17:00|
All prices are exclusive of VAT.