FOCUS: Addressing 5 key challenges for autonomous vehicle simulation
Event: AutoSens FOCUS
, 2021
Hear from:
Mark Yerdon
Mechanical and Systems Engineer,
Google
Mike Phillips
Software Engineer,
Siemens
Tony Gioutsos
Director Portfolio Development Autonomous Americas,
Siemens
Honghao Tan
Principle engineer,
Changan US R&D Center
Prof. Alexander Braun
Professor of Physics,
University of Applied Sciences Dusseldorf
Mark Yerdon
Mechanical and Systems Engineer,
Google
Mike Phillips
Software Engineer,
Siemens
Tony Gioutsos
Director Portfolio Development Autonomous Americas,
Siemens
Honghao Tan
Principle engineer,
Changan US R&D Center
Prof. Alexander Braun
Professor of Physics,
University of Applied Sciences Dusseldorf
It is widely accepted that simulation is a necessity to achieve the safe validation of high level ADAS and autonomous vehicle technologies. Current simulation capabilities are worlds apart from just a few short years ago. But what are the remaining challenges? How might they be resolved?
Watch this session to understand…
A digital twin is required for the vehicle, the virtual world and the ego vehicle including all (relevant) components, but how detailed does this need to be?
How correlated to reality does sensor simulation need to be?
Can we run massive simulations on the cloud to gain insight into performance?
Is it possible to “turn on a switch” and let an optimization program determine the best design?
Can we find critical scenarios (edge cases) without driving millions of miles?
We brought together an expert line-up of speakers and panellists to address these challenges.