FreneticV at the SBST 2022 Tool Competition

Ezequiel Castellano, Stefan Klikovits, Ahmet Cetinkaya, Paolo Arcaini

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

Abstract

FreneticV is a search-based testing tool based on an evolutionary approach that generates roads where an automated driving agent possibly fails the lane-keeping task. It uses a curvature-based road representation and, compared to its predecessor Frenetic, considers the validity of the generated roads. In particular, it tries to avoid generating roads with overly sharp turns, detects self-intersecting roads, and can rotate and relocate roads to fit them in a given map.

Original languageEnglish
Title of host publicationProceedings - 15th Search-Based Software Testing Workshop, SBST 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages47-48
Number of pages2
ISBN (Electronic)9781450393188
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event15th IEEE/ACM International Workshop on Search-Based Software Testing Workshop, SBST 2022 - Pittsburgh, United States
Duration: 2022 May 9 → …

Publication series

NameProceedings - 15th Search-Based Software Testing Workshop, SBST 2022

Conference

Conference15th IEEE/ACM International Workshop on Search-Based Software Testing Workshop, SBST 2022
Country/TerritoryUnited States
CityPittsburgh
Period22/5/9 → …

Keywords

  • autonomous driving
  • Frenet frame
  • FreneticV
  • search-based testing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Safety, Risk, Reliability and Quality

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