RT Conference Proceedings
T1 Fault injection method for safety and controllability evaluation of automated driving
A1 Uriagereka, Garazi Juez
A1 Lattarulo, Ray
A1 Rastelli, Joshue Perez
A1 Calonge, Estibaliz Amparan
A1 Ruiz Lopez, Alejandra
A1 Espinoza Ortiz, Huascar
AB 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.
PB IEEE
SN 978-1-5090-4805-2
SN 978-1-5090-4804-5
SN 9781509048045
YR 2017
FD 2017-07-31
LA eng
NO 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
NO conference
NO Publisher Copyright: © 2017 IEEE.
DS TECNALIA Publications
RD 1 jul 2024