Towards Adaptive Fault Tolerance on ROS for Advanced Driver Assistance Systems

Matthieu Amy (1, 2) , Jean-Charles Fabre (2) , Michaël Lauer (2)

1 RENAULT
2 LAAS-TSF - Équipe Tolérance aux fautes et Sûreté de Fonctionnement informatique

The use of over-the-air updates has attracted very much interest these last few years with the software-intensive development of embedded systems in the car industry. The development of autonomous driving and ADAS (Advanced Driver Assistance Systems) renders over-the-air updates mandatory, for both user satisfaction and economic reasons. How to make sure that remote updates of critical ADAS do not have an impact on safety? This is the question we tackle in our work with a major car manufacturer. This paper is a progress report. We summarize our approach involving AFT (Adaptive Fault Tolerance) implemented on ROS (Robot Operating System), describe the simulation platform we have developed to experiment and validate over-the-air updates of ADAS and AFT, and finally draw some lessons learnt and perspectives.

Domaines: Systèmes embarqués

Matthieu Amy, Jean-Charles Fabre, Michaël Lauer. Towards Adaptive Fault Tolerance on ROS for Advanced Driver Assistance Systems. 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W), Jun 2017, Denver, United States. 7p., ⟨10.1109/DSN-W.2017.42⟩. ⟨hal-01707514⟩