Conflict Simulation for Shared Autonomy in Autonomous Driving

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Journal Title
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Conference article in proceedings
Date
2024-03-11
Major/Subject
Mcode
Degree programme
Language
en
Pages
6
Series
ACM/IEEE International Conference on Human-Robot Interaction
Abstract
We present a tool for modeling conflict situations that enables simulation and testing of situation awareness in shared autonomy, in this case in an autonomous driving scenario. The flexibility of the tool allows definition of new conflict situations, integration with various control and conflict detection systems, as well as customization of Takeover Request (TOR) signals and different means of communication to the human operator. We start with one particular conflict situation - loss of lane markings, for which we demonstrate a simple conflict detection system. We conduct a preliminary user evaluation, which provides useful insights about the usability of the tool. The feedback from the participants indicates that TORs without indication feel uncomfortable and providing explicit information about the conflict situation is necessary when switching to manual control is required.
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Publisher Copyright: © 2024 Copyright held by the owner/author(s)
Keywords
autonomous driving, conflict detection, driving simulation, explainability, Human-AI interaction, shared autonomy
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Citation
Reitmann, S, Topp, E A, Mihaylova, T & Kyrki, V 2024, Conflict Simulation for Shared Autonomy in Autonomous Driving . in HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction . ACM/IEEE International Conference on Human-Robot Interaction, IEEE, pp. 882-887, ACM/IEEE International Conference on Human-Robot Interaction, Boulder, Colorado, United States, 11/03/2024 . https://doi.org/10.1145/3610978.3640589