Record link: 
http://hdl.handle.net/20.500.12708/135878
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Title: 
Towards Drone Flocking Using Relative Distance Measurements
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Citation: 
Brandstätter, A., Smolka, S. A., Stoller, S. D., Tiwari, A., & Grosu, R. (2022). Towards Drone Flocking Using Relative Distance Measurements. In Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning (ISoLA 2022). Proceedings, Part III (pp. 97–109). Springer. https://doi.org/10.1007/978-3-031-19759-8_7
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Publisher DOI: 
10.1007/978-3-031-19759-8_7
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Brandstätter, Andreas 
Smolka, Scott A. 
Stoller, Scott D. 
Tiwari, Ashish 
Grosu, Radu 
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Organisational Unit: 
E191-01 - Forschungsbereich Cyber-Physical Systems 
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Published in: 
Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning (ISoLA 2022). Proceedings, Part III 
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ISBN: 
978-3-031-19759-8
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Volume: 
13703
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DOI of the book: 
10.1007/978-3-031-19759-8
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Date (published): 
17-Oct-2022
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Event name: 
11th International Symposium on Leveraging Applications of Formal Methods (ISoLA 2022) 
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Event date: 
22-Oct-2022 - 30-Oct-2022
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Event place: 
Rhodes, Greece
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Number of Pages: 
13
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Publisher: 
Springer, Cham
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Peer reviewed: 
Yes
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Keywords: 
Drones; Quadcopters; Flock; Swarm; Distributed controller
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Research Areas: 
Computer Engineering and Software-Intensive Systems: 80%
Automation and Robotics: 20%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
Conference Paper

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