Dr.-Ing.

Schneider, Daniel

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  • Publication
    Safety4Ventilators - Public Project Report
    (Fraunhofer IESE, 2021)
    Sorokos, Ioannis
    ;
    Manta, Andrei
    ;
    Naveed, Akram Mohammed
    ;
    Maier, Oliver
    ;
    Schneider, Daniel
    Since December 2019, the world population has experienced one of the worst widespread lung disease pandemics of this century. Due to its high human-to-human transmission rate and lack of known medication and vaccination, COVID-19 caught most medical and pharmaceutical experts by surprise. The nature and the known effects of the novel SARS-CoV-19 virus led to a significant rise in demand for ICU ventilators. Together with the Kaiserslautern University of Applied Sciences (German: Hochschule Kaiserslautern, abbrev. HS KL), we present and provide a walkthrough across the safety engineering lifecycle for a proprietary ventilator, the latter being developed courtesy of our HS KL colleagues. The IEC 61508 Safety Engineering Lifecycle is applied as a case study, using our proprietary tool safeTbox.
  • Publication
    Engineering and Hardening of Functional Fail-Operational Architectures for Highly Automated Driving
    ( 2019)
    Adler, Rasmus
    ;
    Akram, Mohammed Naveed
    ;
    Feth, Patrik
    ;
    Fukuda, Takeshi
    ;
    Ishigooka, Tasuku
    ;
    Otsuka, Satoshi
    ;
    Schneider, Daniel
    ;
    Yoshimura, Kentaro
    Rising automation levels in the automotive domain demand a shift from the fail-safe to the fail-operational paradigm. Fail-operational architectures and behaviors are inherently more complex and thus require special diligence from a safety engineering point of view. In this work, we present how we tailored and applied a methodology that facilitates the design of fail-operational architectures from early design stages on by enabling informed judgment regarding the gradually evolved architecture's fitness for purpose. The method specifically considers resilience regarding dynamic changes in environmental conditions, including V2X aspects and internal capabilities. In this paper, we summarize our experiences in applying the methodology in a highway pilot case study. Furthermore, we present essential extensions of the methodology for modeling and evaluating the operational design domain.
  • 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
    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
    A Context-Aware, Confidence-Disclosing and Fail-Operational Dynamic Risk Assessment Architecture
    ( 2018)
    Feth, Patrik
    ;
    Adler, Rasmus
    ;
    Schneider, Daniel
    Future automotive systems will be highly automated and they will cooperate to optimize important system qualities and performance. Established safety assurance approaches and standards have been designed with manually controlled stand-alone systems in mind and are thus not fit to ensure safety of this next generation of systems. We argue that, given frequent dynamic changes and unknown contexts, systems need to be enabled to dynamically assess and manage their risks. In doing so, systems become resilient from a safety perspective, i.e. they are able to maintain a state of acceptable risk even when facing changes. This work presents a Dynamic Risk Assessment architecture that implements the concepts of context-awareness, confidence-disclosure and fail-operational. In particular, we demonstrate the utilization of these concepts for the calculation of automotive collision risk metrics, which are at the heart of our architecture.