ASD is the 1st international workshop on Autonomous Systems Design. The goal of ASD is to explore recent
industrial and academic methods and methodologies in autonomous systems design.
This includes several areas:
- Embedded and cyber-physical systems platforms that implement and execute the autonomous system
their architectures, hardware, software and communication.
- The design for autonomous systems including processes, modelling, optimization, verification,
- All aspects of dependable systems design for autonomous systems including, but not limited to,
concepts, fail-operational systems design, functional safety for applications with machine learning,
changes and updates, autonomous systems security.
The workshop consists of regular
sessions with peer-reviewed research papers selected from an open call, complemented
by invited talks on robotics, automated driving and frameworks for autonomous
systems like ROS and AUTOSAR Adaptive.
Detailed workshop program is available here
This year, the workshop will have two distinguished industrial keynotes highlighting
important challenges and recent trends in the fields of autonomous design. In his
keynote "Challenges of Automated and Connected Driving", Thomas Form, Head of
Electronics and Vehicle Research at Volkswagen AG, will talk about the challenges in
automated driving regarding sensor technologies, redundancies as well as verification
and validation questions. Masaki Gondo, CTO at eSOL, the company that provides
POSIX/AUTOSAR/TRON RTOS will talk about AUTOSAR Adaptive as a standardized software
platform specification for the highly automated and autonomous driving and emphasize
the role of OS architectures in coping with recent challenges in the field.
Head of Electronics and Vehicle Research at Volkswagen AG, Germany
CTO at eSOL Co. Ltd., JP
Exhibition & Interactive Discussion
An exhibition area will include interactive presentations with posters during which all presented papers are
discussed with the authors. The exhibition area will also involve the following demonstrators,
- Autonomous robots exploring an unknown area using a run-time update to a state of the art environment
perception and trajectory planning system used in the research vehicle MOBILE. The demonstrator aims at
showing the applicability of the concepts developed in the CCC project to the
domain of automated driving.
- Autonomous racing competitions where small cars explore a track concurrently with other cars and use
perception, planning and control in order to avoid crashing and complete the track. This demonstrator
is part of the F1/10 International
Autonomous Racing Competition . It will be presented by the University of Modena and Reggio Emilia, Italy and is supported by IEEE CEDA.
The exhibition area will be available to all attendees of the workshop.