Soft Error Reliability Analysis of Autonomous Vehicles Software Stack

Abstract

Automotive systems are integrating artificial intelligence and complex software stacks aiming to investigate the real world, make decisions and perform actions without human input. The occurrence of soft errors in such systems can lead to wrong decisions, which might ultimately incur in life losses. This paper focuses on the assessment of the soft error susceptibility of a real automotive application (with up to 180 billion instructions) considering Linux kernel, multicore processor, and different cross-compilers. Results collected from extensive simulations show that the compiler can influence the reliability of the system.