A vision navigation algorithm for MAVs attitude estimation based on radon transformation

Cheng Xu*, Hao Qun, Song Yong, Hu Yao

*Corresponding author for this work

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

Abstract

Utilizing the horizon in the nature, the navigation parameters for Micro air vehicles (MAVs) stabilization can be calculated by using the method of image processing. In this paper, a method based on Radon transformation is proposed to detect the horizon. After determining the linear equation of the horizon, the roll angle can be calculated by the slope of the linear equation. The pitch angle can be measured by a method of "pitch distance" proposed in the paper. The proposed method makes full use of the edge information. Therefore, it can detect the horizon accurately without being confused by the barrier above the ground. Comparing with the method using sky area ratio, the method using "pitch distance" can reflect the real changes of pitch angle by means of eliminating the effect of roll angle. Theoretical analysis and experimental results demonstrate that the vision navigation algorithm is accurate and reasonable.

Original languageEnglish
Title of host publicationProceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
DOIs
Publication statusPublished - 2009
Event2009 2nd International Congress on Image and Signal Processing, CISP'09 - Tianjin, China
Duration: 17 Oct 200919 Oct 2009

Publication series

NameProceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

Conference

Conference2009 2nd International Congress on Image and Signal Processing, CISP'09
Country/TerritoryChina
CityTianjin
Period17/10/0919/10/09

Keywords

  • Image processing
  • MAVs
  • Pitch distance
  • Radon transformation
  • Vision navigation

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