Dr. rer. nat.

Weiß, Gereon

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  • Publication
    A safe generic adaptation mechanism for smart cars
    ( 2015)
    Ruiz, Alejandra
    ;
    Juez, Garazi
    ;
    Schleiß, Philipp
    ;
    Weiß, Gereon
    Today's vehicles are evolving towards smart cars, which will be able to drive autonomously and adapt to changing contexts. Incorporating self-adaptation in these cyber-physical systems (CPS) promises great benefits, like cheaper software based redundancy or optimised resource utilisation. As promising as these advantages are, a respective proportion of a vehicle's functionality poses as safety hazards when confronted with faultand failure situations. Consequently, a system's safety has to been sured with respect to the availability of multiple software applications, thus often resulting in redundant hardware resources, such as dedicated backup control units. To benefit from self-adaptation by means of creating efficient and safe systems, this work introduces a safety concept in form of a generic adaptation mechanism (GAM). In detail, this generic adaptation mechanism is introduced and analysed with respect to generally known and newly created safety hazards, in order to determine a minimal set of system properties and architectural limitations required to safely perform adaptation. Moreover, the approach is applied to the ICT architecture of a smart e-car, thereby highlighting the soundness, general applicability, and advantages of this safety concept and forming the foundation for the currently ongoing implementation of the GAM within a real prototype vehicle.
  • Publication
    Design of self-adaptation in distributed embedded systems
    (Verlag Dr. Hut, 2015)
    Weiß, Gereon
    ;
    Knorr, Rudi
    ;
    Bauer, Bernhard
    Nowadays, complex computers are integrated in numerous devices and are deployed in diverse application areas, for example in the automotive, avionic, health-care, and industrial automation domain. These embedded systems are evolving towards complex interconnected and adaptive systems. They increasingly integrate more and more functionality and must function under varying conditions and in diverse situations. Therefore, distributed embedded systems become self-adaptive so that they can adjust to varying context situations. This poses new challenges for the development of these self-adaptive distributed embedded systems. Therefore, this thesis introduces a novel model-driven approach for designing self-adaptation of these systems. The presented approach is applied to the application domain of automotive Electrics / Electronics (E/E).
  • Publication
    Challenges of a safe adaptation architecture for vehicles
    ( 2014)
    Weiß, Gereon
    The promising advent of fully electric vehicles and automated driving also means a shift towards fully electrical control of the existing and new vehicle functions. In particular, critical X-by-wire functions require sophisticated redundancy solutions. As a result, the overall Electric/Electronic (E/E) architecture of a vehicle is becoming even more complex and costly. The talk introduces the challenges of future vehicle software architectures. In the course of the SafeAdapt project novel architecture concepts are developed which base on adaptation to address the needs of a new E/E architecture for FEVs regarding safety, reliability and cost-efficiency. This will reduce the complexity of the system and the interactions by generic, system-wide fault and adaptation handling. It also enables extended reliability despite failures, improvements of active safety, and optimized resources.
  • Publication
    Context modeling for dynamic configuration of automotive functions
    ( 2013)
    Weiß, Gereon
    ;
    Grigoleit, Florian
    ;
    Struss, Peter
    Current vehicles are usually equipped with an abundance of advanced driver assistant systems. Only a limited number of them can really be active permanently. This motivates our goal of providing the car with the means necessary to dynamically adapt the set of active functions to its current requirements. In this paper, we present a generic context modeling approach suitable for dynamic configuration of automotive functions. The demonstration of the feasibility of the proposed solution and evaluation of its effectiveness was based on a simulated prototypical system configuration. The simulations yielded to a significant reduction in average function activity of an exemplary car system. Depending on the provided context parameters, a reduction of up to 24% was achieved.