A versatile real-time vision-led runway localisation system for enhanced autonomy

Tsapparellas, K., Jelev, N., Waters, J. et al. (3 more authors) (2024) A versatile real-time vision-led runway localisation system for enhanced autonomy. Frontiers in Robotics and AI, 11. 1490812. ISSN 2296-9144

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Item Type: Article
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© 2024 Tsapparellas, Jelev, Waters, Shrikhande, Brunswicker and Mihaylova. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Keywords: aerial systems: perception and autonomy; vision-based navigation; computer vision for automation; autonomous landing; autonomous vehicle navigation
Dates:
  • Published: 6 December 2024
  • Published (online): 6 December 2024
  • Accepted: 11 November 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering
Depositing User: Symplectic Sheffield
Date Deposited: 10 Dec 2024 15:51
Last Modified: 10 Dec 2024 15:51
Status: Published
Publisher: Frontiers Media S.A.
Refereed: Yes
Identification Number: 10.3389/frobt.2024.1490812
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