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- W3183627552 abstract "Highly-automated driving involves chains of perception, decision, and control functions. These functions involve data-intensive algorithms that motivate the use of a data-centric middleware and a service-oriented architecture. As an example we use the open-source project Autoware.Auto. The function chains define a safety-critical automated control task with weakly-hard real-time constraints. However, providing the required assurance by formal analysis is challenged by the complex hardware/software structure of these systems and their dynamics. We propose an approach that combines measurement, suitable distribution of deadline segments, and application-level online monitoring that serves to supervise the execution of service-oriented software systems with multiple function chains and weakly-hard real-time constraints. We use DDS as middleware and apply it to an Autoware.Auto use case." @default.
- W3183627552 created "2021-08-02" @default.
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- W3183627552 date "2021-02-01" @default.
- W3183627552 modified "2023-10-18" @default.
- W3183627552 title "Online latency monitoring of time-sensitive event chains in safety-critical applications" @default.
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- W3183627552 doi "https://doi.org/10.23919/date51398.2021.9474109" @default.
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