A Safety Gateway for Autonomous Driving Demonstrator Vehicles

Allan Tengg, Michael Stolz

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

Abstract

Safety for autonomous driving (AD) is currently a hot topic both in industry and research. Especially for prototype vehicles the idea prevails that engaging a safety driver is sufficient to mitigate all safety concerns. We point out, why a safety driver in several cases is unable to cope with the situation, and needs additional support from the AD system. Especially at higher vehicle speeds (e.g. on highways), the reaction time of a safety driver is a pitfall. In this paper we analyze the situation, and propose a detection of challenging and limiting critical driving maneuvers, by using well known relations from vehicle dynamics. On the basis of this approach, we present the implementation into our autonomous driving demonstrator and show how to relax the response time requirements of the safety driver. Since highest safety requirements need to be met, the described methodology is implemented into a dependable embedded system. For our purposes an AURIXTM microprocessor with dedicated safety modules was chosen. Both, the hardware setup as well as the software implementation is discussed. Furthermore, the additional application of the proposed Safety-Gateway, to train safety drivers is reported too.

Original languageEnglish
Title of host publication2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781728194844
DOIs
Publication statusPublished - Feb 2021
Event92nd IEEE Vehicular Technology Conference: VTC 2020-Fall - Virtual, Victoria, Canada
Duration: 18 Nov 202016 Dec 2020

Publication series

NameIEEE Vehicular Technology Conference
Volume2020-November
ISSN (Print)1550-2252

Conference

Conference92nd IEEE Vehicular Technology Conference
Abbreviated titleVTC2020-Fall
Country/TerritoryCanada
CityVirtual, Victoria
Period18/11/2016/12/20

Keywords

  • autonomous vehicles
  • software safety

ASJC Scopus subject areas

  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications

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