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A Review on Scenario Generation for Testing Autonomous Vehicles

  • Jinkang Cai
  • , Shichun Yang*
  • , Haoran Guang
  • *Corresponding author for this work
  • Beihang University

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

Abstract

Autonomous driving holds great potential for reducing traffic accidents. Despite many advancements in autonomous vehicle functions, challenges persist in assessing their safety. Scenario-Based Testing (SBT) has gained prominence for evaluating these vehicles. This review succinctly analyzes established and innovative strategies used to generate scenarios for SBT, outlining crucial challenges and current research focal points. Valuable insights are provided for researchers and engineers addressing safety concerns about autonomous vehicles by scenario-based testing.

Original languageEnglish
Title of host publication35th IEEE Intelligent Vehicles Symposium, IV 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3371-3376
Number of pages6
ISBN (Electronic)9798350348811
DOIs
StatePublished - 2024
Event35th IEEE Intelligent Vehicles Symposium, IV 2024 - Jeju Island, Korea, Republic of
Duration: 2 Jun 20245 Jun 2024

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings
ISSN (Print)1931-0587
ISSN (Electronic)2642-7214

Conference

Conference35th IEEE Intelligent Vehicles Symposium, IV 2024
Country/TerritoryKorea, Republic of
CityJeju Island
Period2/06/245/06/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • autonomous driving
  • scenario generation
  • scenario-based testing
  • vehicle testing

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