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Drone navigation and license place detection for vehicle location in indoor spaces
Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).
Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).
Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).ORCID iD: 0000-0002-1043-8773
Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).ORCID iD: 0000-0002-1400-346X
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2023 (English)In: Progress in Artificial Intelligence and Pattern Recognition / [ed] Yanio Hernández Heredia; Vladimir Milián Núñez; José Ruiz Shulcloper, Heidelberg: Springer, 2023, p. 362-374Conference paper, Published paper (Refereed)
Abstract [en]

Millions of vehicles are transported every year, tightly parked in vessels or boats. To reduce the risks of associated safety issues like fires, knowing the location of vehicles is essential, since different vehicles may need different mitigation measures, e.g. electric cars. This work is aimed at creating a solution based on a nano-drone that navigates across rows of parked vehicles and detects their license plates. We do so via a wall-following algorithm, and a CNN trained to detect license plates. All computations are done in real-time on the drone, which just sends position and detected images that allow the creation of a 2D map with the position of the plates. Our solution is capable of reading all plates across eight test cases (with several rows of plates, different drone speeds, or low light) by aggregation of measurements across several drone journeys. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Heidelberg: Springer, 2023. p. 362-374
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 14335
Keywords [en]
Nano-drone, License plate detection, Vehicle location, UAV
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-51292DOI: 10.1007/978-3-031-49552-6_31Scopus ID: 2-s2.0-85180752157&ISBN: 978-3-031-49551-9 (print)ISBN: 978-3-031-49552-6 (electronic)OAI: oai:DiVA.org:hh-51292DiVA, id: diva2:1783252
Conference
8th International Congress on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, Varadero, Cuba, September 27–29, 2023
Funder
VinnovaSwedish Research CouncilAvailable from: 2023-07-19 Created: 2023-07-19 Last updated: 2024-04-04Bibliographically approved

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Englund, CristoferAlonso-Fernandez, Fernando

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Arvidsson, MoaSawirot, SithichotEnglund, CristoferAlonso-Fernandez, Fernando
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CiteExportLink to record
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