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Conflict Simulation for Shared Autonomy in Autonomous Driving

Reitmann, Stefan LU ; Mihaylova, Tsvetomila ; Topp, Elin Anna LU orcid and Kyrki, Ville (2024) 19th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024 In ACM/IEEE International Conference on Human-Robot Interaction p.882-887
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... (More)

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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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
autonomous driving, conflict detection, driving simulation, explainability, Human-AI interaction, shared autonomy
host publication
HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
series title
ACM/IEEE International Conference on Human-Robot Interaction
pages
6 pages
publisher
Association for Computing Machinery (ACM)
conference name
19th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024
conference location
Boulder, United States
conference dates
2024-03-11 - 2024-03-15
external identifiers
  • scopus:85188051413
ISSN
2167-2148
ISBN
9798400703232
DOI
10.1145/3610978.3640589
project
AI-powered situational awareness for man-machine interaction in shared autonomy
WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
language
English
LU publication?
yes
id
e5462df9-67ee-4083-808b-65f3094c803a
date added to LUP
2024-04-03 08:43:44
date last changed
2024-04-11 16:09:05
@inproceedings{e5462df9-67ee-4083-808b-65f3094c803a,
  abstract     = {{<p>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.</p>}},
  author       = {{Reitmann, Stefan and Mihaylova, Tsvetomila and Topp, Elin Anna and Kyrki, Ville}},
  booktitle    = {{HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction}},
  isbn         = {{9798400703232}},
  issn         = {{2167-2148}},
  keywords     = {{autonomous driving; conflict detection; driving simulation; explainability; Human-AI interaction; shared autonomy}},
  language     = {{eng}},
  month        = {{03}},
  pages        = {{882--887}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  series       = {{ACM/IEEE International Conference on Human-Robot Interaction}},
  title        = {{Conflict Simulation for Shared Autonomy in Autonomous Driving}},
  url          = {{http://dx.doi.org/10.1145/3610978.3640589}},
  doi          = {{10.1145/3610978.3640589}},
  year         = {{2024}},
}