Gesture Control: An Intuitive HMI Concept For Automotive Entrance Systems (Sensors USA 2019)

Dr Bernhard Budaker, Head of Electronics
csi entwicklungstechnik GmbH
Germany
 

Presentation Summary

This presentation describes how to use a stereo camera to provide a more natural, intuitive method of interacting with an entry-level system using gesture controls. We investigate the use of gesture recognition algorithms based on 3D Convolutional Neural Network (3D ConvNets) to establish an artificially intelligent data analysis framework for the referenceless analysis of human motion. In addition, the results of the trained networks are compared with known methods such as optical flow and SVM.

Speaker Biography (Bernhard Budaker)

Education:
2000 - 2006
University Stuttgart: Dipl.-Ing. in electrical engineering and information technology
2008 - 2012
University Stuttgart: PhD (Dr.-Ing.) in mechanical, automotive and production
engineering
Professional Experience
since 2017
CSI entwicklungstechnik GmbH: Head of Electronics
  • Responsible for the strategic development of business unit "electronics" within
CSI AluCar
  • Responsible for budget and employees
  • Working in networks together with clients from the automotive industry
2015 - 2017
Fraunhofer IPA: Head of Business Unit Automotive
  • Strategic development of Business Unit Automotive
  • Responsible for budget and employees within the business unit
  • Lead of International research and development projects
2013 - 2016
Fraunhofer: Spokesman of „Fraunhofer System Research E-Mobility"
2008 - 2015
Fraunhofer TEG, Fraunhofer IPA: Group Manager "Motion Control Systems"
2006 - 2008
University Stuttgart: Scientist & Project Leader: Radar-Sensors for automotive
applications. (79 Ghz, SiGe-Technology)
Research interests:
  • Electromechanical Drive Systems
  • Technologies (Sense and Act) for Autonomous / Automated Driving
  • Development of Mechatronic Systems
  • Smart Systems and Smart Systems Integration