Dr. rer. nat.

Weiß, Gereon

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  • Publication
    Towards integrating undependable self-adaptive systems in safety-critical environments
    ( 2018)
    Weiß, Gereon
    ;
    Schleiß, Philipp
    ;
    Schneider, Daniel
    ;
    Trapp, Mario
    Modern cyber-physical systems (CPS) integrate more and more powerful computing power to master novel applications and adapt to changing situations. A striking example is the recent progression in the automotive market towards autonomous driving. Powerful artificial intelligent algorithms must be executed on high performant parallelized platforms. However, this cannot be employed in a safe way, as the platforms stemming from the consumer electronics (CE) world still lack required dependability and safety mechanisms. In this paper, we present a concept to integrate undependable self-adaptive subsystems into safety-critical environments. For this, we introduce self-adaptation envelopes which manage undependable system parts and integrate within a dependable system. We evaluate our approach by a comprehensive case study of autonomous driving. Thereby, we show that the potential failures of the AUTOSAR Adaptive platform as exemplary undependable system can be handled by our concept. In overall, we outline a way of integrating inherently undependable adaptive systems into safety-critical CPS.
  • Publication
    Towards safety-awareness and dynamic safety management
    ( 2018)
    Trapp, Mario
    ;
    Weiß, Gereon
    ;
    Schneider, Daniel
    Future safety-critical systems will be highly automated or even autonomous and they will dynamically cooperate with other systems as part of a comprehensive ecosystem. This together with increasing utilization of artificial intelligence introduces uncertainties on different levels, which detriment the application of established safety engineering methods and standards. These uncertainties might be tackled by making systems safety-aware and enabling them to manage themselves accordingly. This paper introduces a corresponding conceptual dynamic safety management framework incorporating monitoring facilities and runtime safety-models to create safety-awareness. Based on this, planning and execution of safe system optimizations can be carried out by means of self-adaptation. We illustrate our approach by applying it for the dynamic safety assurance of a single car.
  • Publication
    Safety & security testing of cooperative automotive systems
    ( 2018)
    Seydel, Dominique
    ;
    Weiß, Gereon
    ;
    Pöhn, Daniela
    ;
    Wessel, Sascha
    ;
    Wenninger, Franz
    Cooperative behavior of automated traffic participants is one next step towards the goals of reducing the number of traffic fatalities and optimizing traffic flow. The notification of a traffic participant's intentions and coordination of driving strategies increase the reaction time for safety functions and allow a foresighted maneuver planning. When developing cooperative applications, a higher design complexity has to be handled, as components are distributed over heterogeneous systems that interact with a varying timing behavior and less data confidence. In this paper, we present a solution for the development, simulation and validation of cooperative automotive systems together with an exemplary development flow for safety and security testing.