Autonomous Driving Roundtable 2018

 

Tuesday 8th - Wednesday 9th May

*Please note the second day commences at 8:00am

1:00 PM – 5:00 PM

 

Ruhr University Bochum

Universitätsstraße 150

44801 Bochum

 
How to Ensure Functional Performance for Autonomous Driving Capabilities?

 

Don’t miss the opportunity to collaborate with the smartest industry, academic and NI researchers to shape the future of autonomous driving test. The main topics at this research round table will be focused on the alternative test methods needed to reach multi-millions of miles, as well as the test challenges associated with Artificial Intelligence and Advanced Sensor Fusion. These provide the underpinning pillars that will allow us to reach Level 4 and 5 of autonomous driving.

 

Agenda

Please note: The below agenda is subject to change. For a downloadable copy of the agenda please click here.
 
Tuesday, 8th May 
 
13.00 - 13.30
Welcome and Introductions 
Presented by:
Prof. Dr-Ing Aydin Sezgin, Chair of Digital Communications Systems, Ruhr University Bochum
Prof. Michael Hubner - Chair for Embedded Systems in Information Technology, Ruhr University Bochum
Michel Haddad - EMEIA Academic Director, National Instruments
13.30 - 14.00

Keynote

Presented by Daniel Riedelbauch - Head of Automotive Business EMEIA, National Instruments

14.00 - 14.30
NI Introduction and Initiative Update
Presented by Nicholas Keel - Group Manager - ADAS and Autonomous Vehicles, National Instruments
14.30 - 15.00
Coffee Break 
15.00 - 17.00
Laboratory Tour at Bochum University (Optional)
Presented by 
Prof. Dr-Ing Aydin Sezgin, Chair of Digital Communications Systems, Ruhr University Bochum
Prof. Michael Hubner - Chair for Embedded Systems in Information Technology, Ruhr University Bochum
19.00 - 22.00
Networking Dinner - Livingroom Gastronomie GmbH
Luisenstraße 9-13, 44787 Bochum, Germany
 
 
Wednesday, 9th May 
 
08.00 - 10.00
How do we get to ten million miles of drive test for autonomous driving? 
Presented by Gunwant Dhadyalla - Principal Engineer, University of Warwick 
 
As technologies provide capabilities for level 3 and 4 of Autonomous Driving in the near term, there is growing need to determine how these technologies will and can work together to enable level 5 capability to create a safer driving experience. The drive test has been the fundamental test methodology for all new technologies released in the automotive space for over 50 years and a quintessential test phase for any automotive product release. With more intricate systems and sub-systems coupled with newly released technology providing the basis for autonomous driving capability, several institutions have called out for proving the autonomous driving capability through at least 10 million of drive test miles as a necessity. But how can the automotive industry get to 10 million miles of drive test for autonomous driving?
10.00 - 10.20 Coffee Break 
10.20 - 12.20
How to test machine learning for safety in accordance with a standard like 61508?
Presented by: Erik van Hilten - Senior Technical Marketing Engineer - Automotive, National Instruments
 
Artificial intelligence continues to be a leading technology enabler for next generation automotive capability. Specifically, machine learning algorithms offer multiple options for developing a next generation of smarter cars that can interact with the physical environment and make decisions accordingly. Standards like 61508 have emerged to monitor and set expectations on the development methods and performance of this capability. So, how to test machine learning for automotive safety applications in accordance with standards such as 61508?
12.20 - 13.20
Networking Lunch  
13.20 - 15.20
How to test the latest sensors and the software that accompanies these sensors?
Presented by Fabio Reway - Research Assitant CARISSMA, TH Ingolstadt
 
It is clear that sensors and sensor fusion will play a critical role for next generation automotive safety features by providing multiple methods that automobiles can learn about their environment at any instance of time. The data provided by sensors will be the backbone for autonomous driving and a mobility network where each vehicle will be a communication node. Model in the Loop (MIL), Software in the Loop (SIL), Hardware in the Loop (HIL), and Vehicle in the Loop (VIL) have emerged as test methodologies for sensors and software functionality. But are these methods sufficient? How to test the latest sensors and the software that accompanies them for the next generation automotive capability? 
15.20 - 15.40
Coffee Break
15.40 - 16.40
How does the industry, academia and National Instruments collaborate? 
Presented by: Hannah Wade - Regional Academic Sales Manager, National Instruments 
16.40 - 17.00
Wrap Up
Presented by National Instruments 
17.00 - onwards
Happy Hour Networking Drinks
Bochum University  - Building 'ID' Level 04: Room 471