Validation of Safety Necessities for a Safety-Bag Component in Experimental Autonomous Vehicles
Autor: | Lussier Benjamin, Manel Brini, Schon Walter, Crubille Paul |
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Přispěvatelé: | Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS) |
Rok vydání: | 2018 |
Předmět: |
safety
Risk analysis Safety-Bag 0209 industrial biotechnology Computer science 05 social sciences Testbed Fault tolerance 02 engineering and technology Fault injection HazOp-UML dependability Reliability engineering [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation Work (electrical) Component (UML) Dependability [INFO]Computer Science [cs] 0501 psychology and cognitive sciences fault tolerance autonomous vehicles FMEA 050107 human factors |
Zdroj: | EDCC 14th European Dependable Computing Conference (EDCC) 14th European Dependable Computing Conference (EDCC), Sep 2018, Iasi, Romania. pp.33-40, ⟨10.1109/EDCC.2018.00017⟩ |
DOI: | 10.1109/edcc.2018.00017 |
Popis: | International audience; This work presents a study to improve the safety of experimental autonomous vehicles in the Heudiasyc laboratory. This work presents risk analyses showing that the use of our vehicles involves significant risks during experiments, and that integrating an Independent Safety Component called Safety-Bag in the vehicle architecture can significantly reduce these risks. The Safety-Bag carries out the on-line verification of safety necessities by checking the vehicle's current state with safety rules and taking or disabling actions to ensure a safe behavior. In our work, we present and we apply two methods for risk analysis (FMEA and HazOp-UML) to design these safety necessities in the case of experimental autonomous vehicles. We also present the validation of two safety necessities through fault injection experiments with a robotized Fluence vehicle and a vehicle in the loop testbed. |
Databáze: | OpenAIRE |
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