Theory of ADAS sensors and demonstration

About workshop

This workshop offers a chance for people to understand the basic principles of ADAS sensors, explain their advantages and disadvantages, explain basics in signal processing and applications in automated driving.

The workshop is divided in a theory session and a practical session, in the form of a live demo.

The addressed audience are engineers with a basic knowledge on automated driving who wants to gain basic knowledge on ADAS sensor. The workshop is not addressed at senior engineers.

Part 1: Theory on ADAS sensors (radar, camera, lidar, etc)

Led by Professor Arno Eichberger, Institute of Automotive Engineering, TU Graz

  • Basic principles of different ADAS sensors
  • Advantages and disadvantages
  • Signal processing
  • Applications
  • Sensor modelling for virtual test & validation
  • Live demo (IBEO XT Laserscanner )
  • Reference Measurement system
  • RTK-GPS
  • Genesys ADMA (Inertial Measurement Unit)

Part 2: Live demonstration of ADAS sensors in a fully equipped test car, on the test track

Led by Zoltan Magosi, Institute for Automotive Engineering, TU Graz

The Series production BMW 640i has a full ADAS package, including:

ADAS sensors:

  • Continental ARS 308 combined short/long range radar in target and object mode
  • MobilEye mono camera
  • Cohda MK4 Car2X sensors

Reference Measurement system:

  • RTK-GPS
  • Genesys ADMA (Inertial Measurement Unit)

Presenter Bios

Arno Eichberger

Born 1969, he studied Mechanical Engineering at the University of Technology Graz, where he graduated 1995. He received a doctor’s degree in technical sciences in 1998 with distinction.

From 1998 to 2007 Arno Eichberger was employed at MAGNA STEYR Fahrzeugtechnik AG&Co and dealt with different aspects of active and passive safety.

Since 2007, Arno Eichberger is working at the Institute of Automotive Engineering (University of Technology Graz) dealing with Driver Assistance Systems, Vehicle Dynamics and Suspensions. Since 2012 he is Associate Professor holding a venia docendi in Automotive Engineering.

Zoltan Magosi

Zoltan has a background in electronics and computer technology and Embedded Systems, having studied in Budapest and in Graz.

Zoltan also studied Automation Technology at the University of Technology Gyor, where he graduated 2013. His diploma thesis dealt with the development of a radar sensor model for the virtual system integration of longitudinal dynamic driver assistance systems.

He has special knowledge in the field of driver assistance systems, focusing on sensor systems for driving environment detection and system functions and measurements with electronic and mechanical measuring devices.

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