Fault injection method for safety and controllability evaluation of automated driving
Loading...
Identifiers
Publication date
2017-07-31
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Citations
Export
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.
Description
Publisher Copyright: © 2017 IEEE.
Keywords
Automated driving , Advanced Driver Assistance Systems , ADAS , Automated vehicle applications , Embedded sensors , Simulation-based fault , Fault injection method , Differential GPS signal , Safety concepts , Automated driving , Advanced Driver Assistance Systems , ADAS , Automated vehicle applications , Embedded sensors , Simulation-based fault , Fault injection method , Differential GPS signal , Safety concepts , Computer Science Applications , Automotive Engineering , Modeling and Simulation , Project ID , info:eu-repo/grantAgreement/EC/H2020/643921/EU/Unifying Control and Verification of Cyber-Physical Systems/UNCOVERCPS , info:eu-repo/grantAgreement/EC/H2020/692474/EU/Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical Systems/AMASS , info:eu-repo/grantAgreement/EC/H2020/643921/EU/Unifying Control and Verification of Cyber-Physical Systems/UNCOVERCPS , info:eu-repo/grantAgreement/EC/H2020/692474/EU/Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical Systems/AMASS , Funding Info , Authors wants to thank to the H2020 UnCoVerCPS Project_x000D_ (with grant number 643921) and the ECSEL JU AMASS_x000D_ project under H2020 grant agreement No 692474 and from_x000D_ MINETUR (Spain). , Authors wants to thank to the H2020 UnCoVerCPS Project_x000D_ (with grant number 643921) and the ECSEL JU AMASS_x000D_ project under H2020 grant agreement No 692474 and from_x000D_ MINETUR (Spain).
Type
Citation
Uriagereka , G J , Lattarulo , R , Rastelli , J P , Calonge , E A , Ruiz Lopez , A & Espinoza Ortiz , H 2017 , Fault injection method for safety and controllability evaluation of automated driving . in unknown . IEEE Intelligent Vehicles Symposium, Proceedings , IEEE , pp. 1867-1872 , 28th IEEE Intelligent Vehicles Symposium, IV 2017 , Redondo Beach , United States , 11/06/17 . https://doi.org/10.1109/ivs.2017.7995977
conference
conference