An improved algorithm for horizon detection based on OSTU

Jiali Hou, Baokui Li

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

11 Citations (Scopus)

Abstract

Vision-based Navigation is an efficient method to estimate the UAV's attitude compared with traditional navigation for its unique advantages. The key step of vision-based navigation is to get useful information such as the horizon line from the image that taken from the camera installed in the UAV. In this paper, we introduce the attitude estimation method using the horizon from the image. We then propose an efficient algorithm based on OSTU to segment the image and use Hough transformation to detect the horizon line, so that we can get more accurate estimation for the UAV's attitude. The image processing results illustrate that the algorithm we proposed is efficient.

Original languageEnglish
Title of host publicationProceedings - 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages414-417
Number of pages4
ISBN (Electronic)9781479986460
DOIs
Publication statusPublished - 20 Nov 2015
Event7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015 - Hangzhou, Zhejiang, China
Duration: 26 Aug 201527 Aug 2015

Publication series

NameProceedings - 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015
Volume1

Conference

Conference7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015
Country/TerritoryChina
CityHangzhou, Zhejiang
Period26/08/1527/08/15

Keywords

  • Horizon detection
  • Image processing
  • OSTU
  • UAV

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