A method for unmanned rotorcraft to detect circular markers

Yuan Ma*, Feng Pan, Haijun Su, Weixing Li, Qi Gao

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Detection of circular markers in a complex environment is an important task for the unmanned rotorcraft. In this paper, according to the analysis and comparison of computational complexity, noise sensitivity and detection accuracy between the standard Hough transform (SHT) and the gradient Hough transform (GHT) algorithm, it is proposed a hybrid algorithm for circular markers detection (HA-CMD) which balances the constraint of computational capability of the embedded system and the requirement of detection accuracy. Corresponding to the altitude, there are two strategies utilized, that, the adaptive radius algorithm combined with SHT and cluster analysis is applied in the high-altitude recognition area, moreover, the former circular tracking technique combined with GHT is introduced to reduce misjudgment in the low-altitude area. The proposed algorithm is tested on an unmanned rotorcraft. The experiment results demonstrate the effectiveness and show an effectively balance.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control Conference, CCC 2014
EditorsShengyuan Xu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages4758-4762
Number of pages5
ISBN (Electronic)9789881563842
DOIs
Publication statusPublished - 11 Sept 2014
EventProceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China
Duration: 28 Jul 201430 Jul 2014

Publication series

NameProceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

ConferenceProceedings of the 33rd Chinese Control Conference, CCC 2014
Country/TerritoryChina
CityNanjing
Period28/07/1430/07/14

Keywords

  • Circle detection
  • Gradient Hough transform (GHT)
  • Standard Hough transform (SHT)
  • Unmanned rotorcraft

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