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SUMMARY:Simulation-based Testing and Validation Framework for Autonomous D
 riving Development
DTSTART:20180504T101500
DTEND:20180504T110000
DTSTAMP:20260406T174601Z
UID:841513dec50d4527b6502453f39a9ab64bdd073f61ac5bac458e309a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Tong Duy Song\, Siemens Industry Software (SISW)\, Belgium\nAb
 stract: This talk discusses some recent company research and development 
 activities in the domain of autonomous driving and advanced control. A vir
 tual validation and testing framework for autonomous driving (AD) planning
  and control development is also presented. One of the main challenges in 
 AD development is validating the planning and control algorithms in a clos
 ed-loop fashion\, where both vehicle dynamics characteristics and a wide v
 ariety of traffic scenarios are taken into account. The designs should als
 o guarantee optimal performance toward precise trajectory tracking\, and t
 ime/fuel optimality with respect to various constraints. This presentation
  discusses co-simulation based approaches to frontload control design veri
 fication during the early phases of system development. The approach is de
 monstrated with different driving use cases.\n \nBio: Dr. Son Tong obtai
 ned his PhD (as part of a Marie Curie fellowship) with Prof. Jan Swevers a
 nd Prof. Goele Pipeleers from KULeuven\, Belgium\, in 2016. In the PhD pro
 ject\, he developed several iterative learning control (ILC)  methodologi
 es to deal with robustness and multi-objective designs using optimization.
  Since then he is a senior researcher in Siemens Industry Software\, doing
  research and managing several autonomous driving\, ADAS and control relat
 ed projects.\n \n 
LOCATION:MED 2 1522 https://plan.epfl.ch/?room=MED21522
STATUS:CONFIRMED
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