Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Airport Wildlife Hazard Management System - A Sensor Fusion Approach
Bioseco S. A., POL.
Bioseco S. A., POL.
Bioseco S. A., POL.
Bioseco S. A., POL.
Show others and affiliations
2022 (English)In: Elektronika ir Elektrotechnika, ISSN 1392-1215, Vol. 28, no 3, p. 45-53Article in journal (Refereed) Published
Abstract [en]

Aviation reports indicate that between 1988 and 2019 there were 292 human deaths and 327 injuries that had been reported from wildlife strikes with airplanes. To minimize these numbers, a new approach to airport Wildlife Hazard Management (WHM) is presented in the following article. The proposed solution is based on the data fusion of thermal and vision streams, which are used to improve the reliability and adaptability of the real-time WHM system. The system is designed to operate under all environmental conditions and provides advance information on the fauna presence on the airport runway. The proposed sensor fusion approach was designed and developed using user-driven design methodology. Moreover, the developed system has been validated in real-case scenarios and previously installed at an airport. Performed tests proved detection capabilities during day and night of dog-sized animals up to 300 meters. Moreover, by using machine learning algorithms during daylight, the system was able to classify person-sized objects with over 90 % efficiency up to 300 meters and dog-sized objects up to 200 meters. The general accuracy of the threat level based on the three safety zones was 94 %. © 2022 Kauno Technologijos Universitetas. All rights reserved.

Place, publisher, year, edition, pages
Kauno Technologijos Universitetas , 2022. Vol. 28, no 3, p. 45-53
Keywords [en]
Image processing, Thermal sensors, User-driven design, Vision systems
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:bth-23548DOI: 10.5755/j02.eie.31418ISI: 000838025400006Scopus ID: 2-s2.0-85133737018OAI: oai:DiVA.org:bth-23548DiVA, id: diva2:1687227
Note

open access

Available from: 2022-08-15 Created: 2022-08-15 Last updated: 2022-08-30Bibliographically approved

Open Access in DiVA

fulltext(1371 kB)192 downloads
File information
File name FULLTEXT01.pdfFile size 1371 kBChecksum SHA-512
ace06146bf3d3eb6bc27124df6c564653fdb68bed5caf144a7650a1d28a1a65a5a576271c922b511a84b3a6854caa442ff763b50198fa86385b926bd58d10069
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Kulesza, Wlodek

Search in DiVA

By author/editor
Kulesza, Wlodek
By organisation
Department of Mathematics and Natural Sciences
Embedded Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 192 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 688 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf