Conflict Simulation for Shared Autonomy in Autonomous Driving
(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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- author
- Reitmann, Stefan LU ; Mihaylova, Tsvetomila ; Topp, Elin Anna LU and Kyrki, Ville
- organization
- publishing date
- 2024-03-11
- 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}}, }