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Conflict Management Algorithms Development Using the Automated Framework for Autonomous Vehicles

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Link to refer to this document:
10.3311/BMEZalaZONE2022-019
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  • Conference on BME ZalaZONE 2022 [22]
Abstract
The fields of autonomous ground and aerial vehicles are a young, dynamically expanding field of industry. The current traffic management solutions are inadequate to support the predicted high volume of operations efficiently and safely. As such, novel, automated management solutions are required. This paper presents the research work performed on the automated conflict management prototype system, combining conflict management for autonomous ground and aerial vehicles. This paper briefly presents the background and architecture of the system prototype developed, then highlights the research directions related to the conflict management algorithm development. Algorithms need to provide the desired amount of safety, while at the same time ensuring acceptable levels of performance, cost, and efficiency. Potential conflict management algorithms are investigated, and a computational methodology developed for objective comparison, to enable the future, data-based development of the conflict management framework.
Title
Conflict Management Algorithms Development Using the Automated Framework for Autonomous Vehicles
Author
Sziroczák, Dávid
Rohács, Dániel
Date of issue
2022
Access level
Open access
Copyright owner
Budapest University of Technology and Economics
Conference title
The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022
Conference place
Budapest University of Technology and Economics
Conference date
2022.03.31
Language
en
Page
89 - 93
Subject
Autonomous conflict management, UAV, UGV, UTM
Version
Kiadói változat
Identifiers
DOI: 10.3311/BMEZalaZONE2022-019
Title of the container document
Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022
ISBN, e-ISBN
ISBN 978-963-421-873-9
University
Budapest University of Technology and Economics
Faculty
Faculty of Transportation Engineering and Vehicle Engineering
Department
Department of Automotive Technologies

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DSpace software copyright © 2002-2016  DuraSpace
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Contact Us | Send Feedback
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Atmire NV