Record link: 
http://hdl.handle.net/20.500.12708/230906
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Title: 
ReConf: An Automatic Context-Based Software Reconfiguration Tool for Autonomous Vehicles Using Answer-Set Programming
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Citation: 
Kain, T., & Tompits, H. (2023). ReConf: An Automatic Context-Based Software Reconfiguration Tool for Autonomous Vehicles Using Answer-Set Programming. In R. BASILI, D. LEMBO, C. LIMONGELLI, & A. Orlandini (Eds.), AIxIA 2023 – Advances in Artificial Intelligence : XXIInd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2023, Rome, Italy, November 6–9, 2023, Proceedings (pp. 30–43). https://doi.org/10.1007/978-3-031-47546-7_3
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Publisher DOI: 
10.1007/978-3-031-47546-7_3
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Kain, Tobias 
Tompits, Hans 
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Organisational Unit: 
E192-03 - Forschungsbereich Knowledge Based Systems 
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Published in: 
AIxIA 2023 – Advances in Artificial Intelligence : XXIInd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2023, Rome, Italy, November 6–9, 2023, Proceedings 
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ISBN: 
978-3-031-47546-7
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Volume: 
14318
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DOI of the book: 
10.1007/978-3-031-47546-7
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Date (published): 
2-Nov-2023
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Event name: 
22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) 
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Event date: 
6-Nov-2023 - 9-Nov-2023
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Event place: 
Italy
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Number of Pages: 
14
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Peer reviewed: 
Yes
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Keywords: 
Answer Set Programming; Autonomous Vehicles; Software Reconfiguration
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Abstract: 
A significant challenge in the domain of autonomous vehicles is to ensure a reliable and safe operation in a multitude of contexts. As a consequence, autonomous vehicles must be capable of handling various context changes, such as changing weather conditions as well as software and hardware faults, without human support. To address this issue, we introduce a context-based software configuration tool for autonomous vehicles, called ReConf, which is embedded into Aptus, a generic framework for extending system architectures of autonomous vehicles with a self-managing functionality proposed in previous work. ReConf reconfigures the autonomous driving system in case the context changes by means of a reasoning component based on answer-set programming in order to determine system configurations that fulfill the requirements of the current context.
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Research Areas: 
Computer Science Foundations: 100%
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Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Appears in Collections:
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