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Program

Date: 21/06/2021

 

15:00 - 15:50 (CEST): Opening and Industry keynote (session chair: Hélène Waeselynck (LAAS-CNRS) )

15:00 - 15:05: Welcome by Hélène Waeselynck (LAAS-CNRS)

15:05 - 15:15: Presentation of SAS project by Prof. Davy Pissoort (KU Leuven)

15:15 - 15:50: Keynote from Industry by Robert Bosch GmbH 

Presenter: Peter Munk (Bosch)

Title: SafeOps: Why we need more Monitoring and Automation in Safety Management and Engineering

Abstract: As of today, the automotive industry's development processes follow the V model described in its prevalent functional safety standard, the ISO 26262:2018. Most effort is spent to achieve an acceptable residual risk at start of production (SoP) and to address safety issues occurring during operating, but only little effort is put in continuously improving a product's safety concept after SoP. With upcoming autonomous systems functioning without a driver responsible for safe operation and operating in an open context that changes continuously, this strategy needs to be adapted.

In this keynote, I will outline why we should switch to DevOps development processes that established in the IT industry and extend these to support the requirements of safety-critical autonomous systems. The first key concept to achieve this change is to identify and remove gaps in automation of mandatory safety management and engineering tasks during development. The second key concept is to leverage the available connectivity features and monitor product internal and external safety properties during operation in a live manner. Only this way we quickly identify and react to safety issues as well as thus continuously adapt and improve the safety concept of safety-critical autonomous systems to increase societies trust in them.

15:50 - 16:00 (CEST): Break

 

16:00 - 16:50 (CEST): Industry talk and Runtime Monitoring 

16:00 - 16:25: Industry talk by Sick AG (session chair: Jérémie Guiochet (LAAS-CNRS))

Presenter: Magnus Albert (Sick AG)

Title: Methods for Ensuring Safe Perception for Safer Autonomous Systems

Abstract: Safer Autonomous Systems require safe perception. Safe perception requires a sufficiently low probability of critical malfunctions and sufficiently high detection capabilities. This talk presents methods for ensuring both aspects and gives examples of the application of these methods in an industrial setting.

16:25 - 16:50: Research session 1: Runtime Monitoring (session chair: Jeroen Boydens (KU Leuven). Presenters: 3 researchers)

Raul Sena Ferreira (LAAS-CNRS, France), safety monitoring of AI-based perception
functions.

Yuan Liao (Fraunhofer, Germany), runtime adaptation of autonomous systems.

João Vitor Zacchi (Fraunhofer, Germany), runtime safety contracts for interacting autonomous systems.

16:50 - 17:00: Break

 

17:00 - 17:50 (CEST): Industry talk and Testing 

17:00 - 17:25: Industrial talk by Airbus (session chair: Peter Munk (Bosch))

Presenter: Pascal Traverse (Airbus)

Title: Autonomy is in the air

Abstract: Autonomy is in the air: on one hand, automation is clearly a lever to improve safety margins; on another hand technologies are maturing, pulled by the automotive market. In this context, Airbus is building a concept airplane from a blank sheet with the objective to improve human-machine teaming for better overall performance. Foundation of this new concept is that when they are made aware of the “big picture” with enough time to analyze it, humans are still the best to make strategic decisions. Autonomy technologies are the main enabler of this concept. Benefit are expected both in a two-crew cockpit and eventually in Single Pilot Operations.

17:25 - 17:50: Research session 2: Simulation-based testing (session chair: Mario Trapp (Fraunhofer IKS). Presenters: 3 researchers)

Zaid Tahir (University of York, UK), situation-based testing of autonomous cars in a
virtual urban road environment.

Luca Vittorio Sartori (LAAS-CNRS, France), generation of virtual worlds for testing
autonomous robots.

Dejana Ugrenovic (KU Leuven, Belgium), design and testing guidelines for non-
functional requirements of autonomous systems.

 




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