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Architecting Safety Supervisors for High Levels of Automated Driving

Authors :
Törngren, Martin
Zhang, Xinhai
Mohan, Naveen
Becker, Matthias
Svensson, Lars
Tao, Xin
Chen, DeJiu
Westman, Jonas
Törngren, Martin
Zhang, Xinhai
Mohan, Naveen
Becker, Matthias
Svensson, Lars
Tao, Xin
Chen, DeJiu
Westman, Jonas
Publication Year :
2018

Abstract

The complexity of automated driving poses challenges for providing safety assurance. Focusing on the architecting of an Autonomous Driving Intelligence (ADI), i.e. the computational intelligence, sensors and communication needed for high levels of automated driving, we investigate so called safety supervisors that complement the nominal functionality. We present a problem formulation and a functional architecture of a fault-tolerant ADI that encompasses a nominal and a safety supervisor channel. We then discuss the sources of hazardous events, the division of responsibilities among the channels, and when the supervisor should take over. We conclude with identified directions for further work.<br />QC 20180920

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1234994418
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1109.ITSC.2018.8569945