A Distributed Safety Mechanism using Middleware and Hypervisors for Autonomous Vehicles

Tjerk Bijlsma, Andrii Buriachevskyi, Alessandro Frigerio, Yuting Fu, Kees Goossens, Ali Osman Ors, Pieter J. Van Der Perk, Andrei Terechko, Bart Vermeulen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Autonomous vehicles use cyber-physical systems to provide comfort and safety to passengers. Design of safety mechanisms for such systems is hindered by the growing quantity and complexity of SoCs (System-on-a-Chip) and software stacks required for autonomous operation. Our study tackles two challenges: (1) fault handling in an autonomous driving system distributed across multiple processing cores and SoCs, and (2) isolation of multiple software modules consolidated in one SoC. To address the first challenge, we extend the state-of-the-art E-Gas layered monitoring concept. Similar to E-Gas, our safety mechanism has function, controller and vehicle layers. We propose to distribute these safety layers on processors with different ASILs (Automotive Safety Integrity Level). Besides, we implement seif-test, fault injection and challenge-response protocols to detect faults at runtime in the safety mechanism itself. To facilitate distributed operation, our mechanism is built on top of the DDS (Data Distribution Service) software middleware for safety-critical embedded applications, as well as DDS-XRCE (eXtremely Resource Constrained Environment) for resource- constrained processor cores of the highest ASIL. To address the second challenge, our safety mechanism employs hardware- assisted hypervisors to isolate software modules and implement fail-silent behavior of faulty software stacks. We validate our safety mechanism on the NXP BiueBox hardware platform using the LG SVL simulator, Baidu Apollo software framework for autonomous driving, and Xen hypervisor. Our fault injection experiments demonstrate that the distributed safety mechanism successfully detects faults in an autonomous system and safely stops the vehicle when necessary.

Original languageEnglish
Title of host publicationProceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020
EditorsGiorgio Di Natale, Cristiana Bolchini, Elena-Ioana Vatajelu
PublisherInstitute of Electrical and Electronics Engineers
Pages1175-1180
Number of pages6
ISBN (Electronic)9783981926347
DOIs
Publication statusPublished - Mar 2020
Event2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020 - Grenoble, France
Duration: 9 Mar 202013 Mar 2020

Conference

Conference2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020
CountryFrance
CityGrenoble
Period9/03/2013/03/20

Keywords

  • automated driving
  • autonomous vehicle
  • DDS
  • DDS- XRCE
  • E-Gas
  • fault injection
  • hypervisor
  • middleware software
  • safety
  • Xen

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