Wednesday 30 January, 2018
St Exupery Room
Trends and challenges for autonomous vehicules
To be determined
Thursday 1 February, 2018
St Exupery Room
How Machine Learning could be used (or not) for safety-critical applications?
Artificial Intelligence based on technics like machine learning invades all and every domains including transport systems like aircraft, cars, rail, and all critical embedded systems.
In this field of safety critical systems it is more than necessary to demonstrate how to be confident in the results of such complex algorithms used for artificial intelligence.
Therefore we should be able to explain how machine learning works and why it gives results in which we can trust.
Then it would be possible to adapt the current rules and industrial standards used to give confidence to the public and /or to the authorities in charge of approval, e.g. EASA in the avionics context.
Hervé Delseny, Airbus – software aspects of certification - France
Adrien Gauffriau, Airbus, Critical Software engineer and Data Analyst - France
Alexander Rudolph, Continental - safety manager "Chassis & Safety"- Germany
Virginie Wiels, ONERA - head of the Information Processing and Systems Department - France
Xiaowei Huang, Lecturer at University of Liverpool - correctness (e.g., safety, trustworthy, etc) of autonomous systems - UK
Guillaume Soudain, EASA – Software Senior Expert - Germany
Regular abstract and short paper submission (4 pages): June 18, 2017 extended to July, 9
September 22, 2017
Regular Paper for review (10 pages):
October 27, 2017
Final Paper submission deadline
(Short & Regular):November 24, 2017
SIEMENS - MENTOR GRAPHICS
Institute of Technology Antoine de Saint Exupéry
REGION OCCITANIE / PYRENEES - MEDITERRANEE