Injecting Conflict Situations in Autonomous Driving Simulation using CARLA

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

Injecting Conflict Situations in Autonomous Driving Simulation using CARLA

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

Lund University

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

Abstrakti

Simulation of conflict situations in 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.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction
Kustantaja	IEEE
Sivut	1052–1056
Sivumäärä	5
ISBN (elektroninen)	979-8-3503-7893-1
Tila	Julkaistu - 2025
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	ACM/IEEE International Conference on Human-Robot Interaction - Melbourne, Austraalia Kesto: 4 maalisk. 2025 → 6 maalisk. 2025

Conference

Conference	ACM/IEEE International Conference on Human-Robot Interaction
Lyhennettä	HRI
Maa/Alue	Austraalia
Kaupunki	Melbourne
Ajanjakso	04/03/2025 → 06/03/2025

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@inproceedings{ebc7af3fde6c4d4597192cf860abeceb,

title = "Injecting Conflict Situations in Autonomous Driving Simulation using CARLA",

abstract = "Simulation of conflict situations in 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.",

keywords = "automated driving, conflict detection, driving simulation, human-ai interaction, shared autonomy, situation awareness",

author = "Tsvetomila Mihaylova and Stefan Reitmann and Topp, {Elin A.} and Ville Kyrki",

year = "2025",

language = "English",

pages = "1052–1056",

booktitle = "Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction",

publisher = "IEEE",

address = "United States",

note = "ACM/IEEE International Conference on Human-Robot Interaction, HRI ; Conference date: 04-03-2025 Through 06-03-2025",

}

Mihaylova, T, Reitmann, S, Topp, EA & Kyrki, V 2025, Injecting Conflict Situations in Autonomous Driving Simulation using CARLA. julkaisussa Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. IEEE, Sivut 1052–1056, ACM/IEEE International Conference on Human-Robot Interaction, Melbourne, Austraalia, 04/03/2025. <https://arxiv.org/abs/2503.16476>

Injecting Conflict Situations in Autonomous Driving Simulation using CARLA. / Mihaylova, Tsvetomila; Reitmann, Stefan; Topp, Elin A. et al.
Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction. IEEE, 2025. s. 1052–1056.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Injecting Conflict Situations in Autonomous Driving Simulation using CARLA

AU - Mihaylova, Tsvetomila

AU - Reitmann, Stefan

AU - Topp, Elin A.

AU - Kyrki, Ville

PY - 2025

Y1 - 2025

N2 - Simulation of conflict situations in 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.

AB - Simulation of conflict situations in 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.

KW - automated driving

KW - conflict detection

KW - driving simulation

KW - human-ai interaction

KW - shared autonomy

KW - situation awareness

M3 - Conference article in proceedings

SP - 1052

EP - 1056

BT - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction

PB - IEEE

T2 - ACM/IEEE International Conference on Human-Robot Interaction

Y2 - 4 March 2025 through 6 March 2025

ER -

Injecting Conflict Situations in Autonomous Driving Simulation using CARLA

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Conference

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