Real-time vibration reduction in UAV'S image sensors using efficient Hough transform

David Afolabi, Zhun Shen, Tomas Krilavičius, Vladimir Hahanov, Eugenia Litvinova, Svetlana Chumachenko, Ka Lok Man, Hai Ning Liang, Nan Zhang, Tomas Žalandauskas

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

This paper explores use of Hough transform to detect and track angular changes between a series of images acquired by vision sensors attached to unmanned aerial vehicles (UAV) and are used in traffic surveillance. The small size and atmospheric conditions can lead to unstable flying and this can induce vibration to the pictures. In this research it is proposed that the vibration in the acquired images can be reduced by using the angular variation as feedback to stabilize the motion of the UAV as it captures subsequent frames.

Original languageEnglish
Title of host publication8th International Conference on Electrical and Control Technologies, ECT 2013
EditorsA. Jonaitis, A. Navickas, A. Virbalis, A. Sauhats, M. Azubalis, V. Galvanauskas, K. Brazauskas
PublisherKaunas University of Technology
Pages50-52
Number of pages3
ISBN (Electronic)9781634398022
Publication statusPublished - 2013
Event8th International Conference on Electrical and Control Technologies, ECT 2013 - Kaunas, Lithuania
Duration: 2 May 20133 May 2013

Publication series

Name8th International Conference on Electrical and Control Technologies, ECT 2013

Conference

Conference8th International Conference on Electrical and Control Technologies, ECT 2013
Country/TerritoryLithuania
CityKaunas
Period2/05/133/05/13

Keywords

  • Image/vision sensor
  • Traffic surveillance
  • UAV stabilization
  • Vibration reduction

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