Comparing two systematic approaches for testing automated driving functions

Hermann Felbinger, Florian Steffen Klück, Yihao Li, Mihai Nica, Jianbo Tao, Franz Wotawa, Martin Jochen Zimmermann

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

Abstract

Thoroughly validating and verifying automated or autonomous driving functions is inevitable for assuring to meet quality criteria for safety-critical systems. In this paper, we discuss two system testing techniques that have been already used for detecting critical situations for the automated emergency braking function based on vehicle simulations. In particular, we introduce combinatorial testing and search-based testing techniques and compare them. Whereas the first is for identifying interactions of parameters that lead to harmful situations considering predefined value domains, the latter is for finding parameter values that cause such critical situations. We discuss the underlying foundations behind the methods as well as their potential application areas. In addition, we summarize the results obtained when using these methods for testing automated emergency braking.
Original languageEnglish
Title of host publication2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings
PublisherIEEE Publications
Number of pages6
ISBN (Electronic) 978-1-7281-0142-2
DOIs
Publication statusPublished - Nov 2019
Event8th International Conference on Connected Vehicles and Expo - Graz, Austria
Duration: 4 Nov 20198 Nov 2019
https://iccve2019.com/

Publication series

Name2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings

Conference

Conference8th International Conference on Connected Vehicles and Expo
Abbreviated title2019 IEEE ICCVE
CountryAustria
CityGraz
Period4/11/198/11/19
Internet address

Keywords

  • system testing
  • verifying automated driving functions
  • combinatorial testing
  • search-based testing
  • System testing
  • Verifying automated driving functions
  • Combinatorial testing
  • Search-based testing

ASJC Scopus subject areas

  • Control and Optimization
  • Transportation
  • Computer Networks and Communications
  • Automotive Engineering

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