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    Fault injection method for safety and controllability evaluation of automated driving

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    IV2017_accepted.pdf (3.758Mb)
    Identifiers
    URI: http://hdl.handle.net/11556/479
    ISBN: 978-1-5090-4805-2
    DOI: 10.1109/ivs.2017.7995977
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    Author/s
    Uriagereka, Garazi Juez; Lattarulo, Ray; Rastelli, Joshue Perez; Calonge, Estibaliz Amparan; Ruiz Lopez, Alejandra; [et al.]
    Date
    2017-07-31
    Keywords
    Automated driving
    Advanced Driver Assistance Systems
    ADAS
    Automated vehicle applications
    Embedded sensors
    Simulation-based fault
    Fault injection method
    Differential GPS signal
    Safety concepts
    Abstract
    Advanced Driver Assistance Systems (ADAS) and automated vehicle applications based on embedded sensors have become a reality today. As road vehicles increase its autonomy and the driver shares his role in the control loop, novel challenges on their dependability assessment arise. One key issue is that the notion of controllability becomes more complex when validating the robustness of the automated vehicle in the presence of faults. This paper presents a simulation-based fault injection approach aimed at finding acceptable controllability properties for the model-based design of control systems. We focus on determining the best fault models inserting exceptional conditions to accelerate the identification of specific areas for testing. In our work we performed fault injection method to find the most appropriate safety concepts, controllability properties and fault handling strategies at early design phases of lateral control functions based on the error in the Differential GPS signal.
    Type
    conferenceObject

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