Injecting Conflict Situations in Autonomous Driving Simulation using CARLA

Tsvetomila Mihaylova, Stefan Reitmann, Elin A. Topp, Ville Kyrki

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

Abstract

Simulation of conflict situations for autonomous driving research is crucial for understanding and managing interactions between Automated Vehicles (AVs) and human drivers. This paper presents a set of exemplary conflict scenarios in CARLA that arise in shared autonomy settings, where both AVs and human drivers must navigate complex traffic environments. We explore various conflict situations, focusing on the impact of driver behavior and decision-making processes on overall traffic safety and efficiency. We build a simple extendable toolkit for situation awareness research, in which the implemented conflicts can be demonstrated.

Original languageEnglish
Title of host publicationProceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE
Pages1052–1056
Number of pages5
ISBN (Electronic)979-8-3503-7893-1
DOIs
Publication statusPublished - 2025
MoE publication typeA4 Conference publication
EventACM/IEEE International Conference on Human-Robot Interaction - Melbourne, Australia
Duration: 4 Mar 20256 Mar 2025

Conference

ConferenceACM/IEEE International Conference on Human-Robot Interaction
Abbreviated titleHRI
Country/TerritoryAustralia
CityMelbourne
Period04/03/202506/03/2025

Keywords

  • automated driving
  • conflict detection
  • driving simulation
  • human-ai interaction
  • shared autonomy
  • situation awareness
  • Human-AI interaction

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