Paper Info
Title
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.
Year
DOI
Venue
2019
10.1109/VLSI-SoC.2019.8920372
2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC)
Keywords
Field
DocType
soft error reliability analysis,autonomous vehicles software stack,automotive systems,artificial intelligence,complex software stacks,human input,soft errors,wrong decisions,life losses,soft error susceptibility,automotive application,cross-compilers,Linux kernel
Kernel (linear algebra),Soft error,Computer science,Compiler,Software,Software quality,Multi-core processor,Linux kernel,Embedded system,Automotive industry
Conference
ISSN
ISBN
Citations 
2324-8432
978-1-7281-3916-6
0
PageRank 
References 
Authors
0.34
2
5
Name
Order
Citations
PageRank
Vitor V. Bandeira100.34
Isadora Oliveira200.34
Felipe da Rosa310.75
Ricardo A. L. Reis421748.75
Luciano Ost544136.69