A fuzzy-based threshold method applied in SIFT for visual navigation of small UAVs

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Abstract

In this paper, a fuzzy-based threshold method is proposed in image processing of SIFT which is used in visual navigation of small UAVs. By adjusting the thresholds of SIFT online fuzzily, it provides a stable number of features detected from aerial image sequence. The visual navigation estimates the motion of the small UAV by tracking and matching these features extracted from the consecutive image frames. Real experiments verify the stability and advantage of this method in comparison with the fixed and PID-based threshold methods. This proposed method is able to stabilize the number of features regardless of the changes of the aerial images.

Original languageEnglish
Title of host publicationProceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Pages807-812
Number of pages6
DOIs
StatePublished - 2012
Event2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 - Singapore, Singapore
Duration: 18 Jul 201220 Jul 2012

Publication series

NameProceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Conference

Conference2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Country/TerritorySingapore
CitySingapore
Period18/07/1220/07/12

Keywords

  • SIFT
  • fuzzy-based thresholding
  • small UAVs
  • visual navigation

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