Two-Day Special Initiative

Fueled by the progress of artificial intelligence, autonomous systems become more and more integral parts of many Internet of Things (IoT) and Cyber-Physical Systems (CPS) applications, such as automated driving, robotics, avionics and industrial automation. Autonomous systems are self-governed and self-adaptive systems that are designed to operate in an open and evolving environment that has not been completely defined at design time. This poses a unique challenge to the design and verification of dependable autonomous systems. The DATE Special Initiative on Autonomous Systems Design (ASD) on Thursday and Friday will include high-profile keynotes and panel discussions, as well as peer-reviewed papers, invited contributions and interactive sessions addressing these challenges.

The Thursday of the DATE Special Initiative on Autonomous Systems Design (ASD) will start with an opening session where industry leaders from Airbus, Porsche and Robert Bosch will talk about their visions of autonomous systems, the challenges they see in the development of autonomous systems as well as how autonomous systems will impact the business in their industries. These input will be discussed in an open floor panel with eminent speakers from academia. After the opening session, three sessions will present peer-reviewed papers on "Reliable Autonomous Systems: Dealing with Failure & Anomalies", "Safety Assurance of Autonomous Vehicles" and "Designing Autonomous Systems: Experiences, Technology and Processes". Furthermore, a special session will discuss latest research on "Predictable Perception for Autonomous Systems".

The Friday Interactive Day of the DATE Special Initiative on Autonomous Systems Design (ASD) features keynotes from industry leaders as well as interactive discussions initiated by short presentations on several hot topics. Presentations from General Motors and BMW on predictable perception, as well as a session on dynamic risk assessment will fuel the discussion on how to maximize safety in a technically feasible manner. Speakers from TTTech and APEX.AI will present insights into Motionwise and ROS2 as platforms for automated vehicles. Further sessions will highlight topics such as explainable machine learning, self-adaptation for robustness and self-awareness for autonomy, as well as cybersecurity for connected vehicles.

Autonomous Systems Design (ASD) Thursday Sessions

07:00 - 08:00 9.1 Autonomous Systems Design: Opening Panel

08:00 - 09:00 10.1 Reliable Autonomous Systems: Dealing with Failure & Anomalies

09:00 - 09:30 IP.ASD_1 Interactive Presentations

09:30 - 10:30 11.1 Safety Assurance of Autonomous Vehicles

15:00 - 15:50 K.5 Keynote AUTONOMY: ONE STEP BEYOND ON COMMERCIAL AVIATION by Pascal Traverse, Airbus, FR

16:00 - 17:00 12.1 Designing Autonomous Systems: Experiences, Technology and Processes

17:00 - 17:30 IP.ASD_2 Interactive Presentations

17:30 - 18:30 13.1 Predictable Perception for Autonomous Systems

18:30 - 19:00 ASD Reception

ASD Friday Interactive Day

Detailed Program: W05 Special Initiative on Autonomous Systems Design (ASD)

Sessions

08:30 - 09:00 Opening & Introduction

09:00 - 10:00 Dynamic Risk Assessment in Autonomous Systems

10:00 - 11:00 Cybersecurity for Connected Autonomous Vehicles

11:00 - 12:00 Self-adaptive safety- and mission-critical CPS: wishful thinking or absolute necessity? 

14:00 - 15:00 Predictable Perception

15:00 - 16:00 Perspicuous Computing

16:00 - 17:00 Production Architectures & Platforms for Automated Vehicles

17:00 - 18:00 Self-Awareness for Autonomy

Poll

Please contribute to our poll on your perspective on Autonomous Systems Design: http://www.polljunkie.com/poll/ygmrfc/date-2021-special-initiative-on-autonomous-systems-design-poll

Registration

For attending the ASD Thursday Sessions, please obtain a DATE conference registration.

For attending the ASD Friday Interactive Day (W05), a separate free registration sponsored by Argo AI is required.

Both registrations can be made here: https://www.date-conference.com/registration 

Technical Program Committee

• Houssam Abbas, Oregon State University, USA
• Rasmus Adler, Fraunhofer IESE, Germany
• Eric Armengaud, AVL, Germany
• Bart Besselink, University of Groningen, Netherlands
• Philippe Bonnifait, UTC Compiegne, France
• Paolo Burgio, Università degli Studi di Modena e Reggio Emilia, Italy
• Arvind Easwaran, Nanyang Technological University, Singapore
• Sebastian Fischmeister, University of Waterloo, Canada
• Roman Gansch, Robert Bosch GmbH, Germany
• Sabine Glesner, TU Berlin, Germany
• Dominique Gruyer, Université Gustave Eiffel, France
• Mohammad Hamad, Technical University Munich, Germany
• Xiaoging Jin, Apple, USA
• Martina Maggio, Saarland University, Germany
• Philipp Mundhenk, AUDI, Germany
• Alessandra Nardi, Cadence, USA
• Gabor Orosz, University of Michigan, USA
• Claire Pagetti, Onera, France
• Daniele Palossi, ETH Zurich, Switzerland
• Alessandro Papadopoulos, Mälardalen University, Sweden
• Alessandro Renzaglia, INRIA, France
• Shreejith Shanker, Trinity College Dublin, Ireland
• Dongwha Shin, Soongsil University, Korea
• Aviral Shrivastava, Arizona State University, USA
• Andrei Terechko, NXP Semiconductors, Netherlands
• Lin Xue, Northeastern University, USA