Safety and security aspects of fail-operational urban surround perceptION (FUSION)

Georg Macher*, Norbert Druml, Omar Veledar, Jakob Reckenzaun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Among the strong trends that are impacting society, autonomous driving stands out clearly as one of the prime candidates to cause disruptive changes in automotive industry. Fully automated driving is identified as a major enabler for mastering the grand societal challenges of safe, clean, and efficient mobility. A major probation for highly automated driving is the step change from partial to conditional automation and above. At these high levels of automation, the driver is unable to intervene in a timely and appropriate manner. Consequently, the automation must be capable of independently handling safety-critical situations. Fail-operational behavior is essential at all layers of automated driving. These layers include sensing, computation and vehicle architecture. The PRYSTINE project targets realization of Fail-operational Urban Surround perceptION (FUSION), based on robust Radar and LiDAR sensor fusion, and control functions enabling safe automated driving. PRYSTINE addresses development and validation of new fail operational platforms, as well as high performing and dependable sensor fusion on different levels. In this paper, an overview of fail-operational approaches on different layers (vehicle and sensor level) is provided, together with a description of the interplay between safety and security aspects. It is further enhanced with description of a fail-operational sensor-fusion framework on component and system level.

Original languageEnglish
Title of host publicationModel-Based Safety and Assessment. IMBSA 2019
EditorsYiannis Papadopoulos, Koorosh Aslansefat, Panagiotis Katsaros, Marco Bozzano
Place of PublicationCham
PublisherSpringer
Pages286-300
Number of pages15
ISBN (Print)9783030328719
DOIs
Publication statusPublished - 1 Jan 2019
Event6th International Symposium on Model-Based Safety and Assessment - Thessaloniki, Greece
Duration: 16 Oct 201918 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11842 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Symposium on Model-Based Safety and Assessment
Abbreviated title IMBSA 2019
CountryGreece
CityThessaloniki
Period16/10/1918/10/19

Keywords

  • Autonomous driving
  • Fail-operational
  • Safety
  • Security
  • Sensor-fusion

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fields of Expertise

  • Information, Communication & Computing

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  • Projects

    Industrial Informatics

    Höller, A., Preschern, C., Kreiner, C. J., Raschke, W., Sporer, H., Iber, J., Kajtazovic, N., Krisper, M., Sinnhofer, A. D., Macher, G., Rauter, T., Quaritsch, M., Dobaj, J. & Krug, T.

    1/09/12 → …

    Project: Research area

    Cite this

    Macher, G., Druml, N., Veledar, O., & Reckenzaun, J. (2019). Safety and security aspects of fail-operational urban surround perceptION (FUSION). In Y. Papadopoulos, K. Aslansefat, P. Katsaros, & M. Bozzano (Eds.), Model-Based Safety and Assessment. IMBSA 2019 (pp. 286-300). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11842 LNCS). Cham: Springer. https://doi.org/10.1007/978-3-030-32872-6_19