Introduction to Artificial Intelligence and Machine Learning for Advanced Driver Assistance Systems and Automated Driving Functions


Description

The functions of automated driving - no matter what degree of automation - usually require the application of modern artificial intelligence techniques in order to be able to realize the desired functionalities at all. The aim of this seminar is to present the basic methods of Artificial Intelligence and Machine Learning. The methods should be demonstrated with concrete examples from the fields of assisted and automated driving. Care is also taken about validation, verification and safeguarding of the related models and AI-based software components.

Who should attend?

Developers and (project) managers who have not yet had deep experience with the methodology and want to get a quick overview and introduction to the use of artificial intelligence.

Course Objectives

This seminar provides an overview and a brief introduction to the relevant methods of Artificial Intelligence and Machine Learning, so that both developers and managers can clearly decide which methods and procedures are relevant for their applications and which possible pitfalls they should consider in the application.

Course Contents

  • Introduction of data-based development versus analytical and rule-based approaches
  • Overview of the different procedures and areas of application
  • Artificial Neural Networks, Deep Learning, various variants and architectures
  • Decision and regression trees
  • Support Vector Machines
  • Validation and safeguarding of models, sampling procedures, robustness assessment
  • Data preparation and problem parameterization
  • Meta modeling and model committees

Dr. Andreas Kuhn
Andata Entwicklungstechnologie GmbH

Kuhn 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.

Date Language Price Code
16 Oct - 17 Oct 2024 Deutsch 1390 EUR  (1690 EUR from 19 Sep 2024 ) 4291
Venue  
Alzenau (carhs.training gmbh, Siemensstraße 12, 63755 Alzenau) » Register
Instructor  
Dr. Andreas Kuhn (Andata Entwicklungstechnologie GmbH)
 
Seminar hours  
Wednesday 09:00 - 17:00
Thursday 09:00 - 17:00

This course is available as an in-house seminar. The trainer comes to your site - you save travel expenses and travel time. Get an offer.

Your contact person

Dr. Dirk Ulrich
Phone.: 06023 - 96 40 - 66
E-Mail: dirk.ulrich@carhs.de

Request now!

All prices are exclusive of VAT.