Autonomous hovering of a vision/IMU guided quadrotor

Tianguang Zhang, Ye Kang, Markus Achtelik, Kolja Kühnlenz, Martin Buss

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

42 Scopus citations

Abstract

We describe a multi-sensory control architecture for hovering of a mini four-rotor unmanned aerial vehicle (UAV) over specified markers as an external reference for pose estimation utilizing two on-board sensors: a tiny single camera and Inertial Measurement Units. A high-speed pose estimation approach based on visual information is presented. A closed-loop system is implemented using PID pose-controllers. The control performance is improved by integration of IMU measurement. Results of a real-time experiment are presented.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009
Pages2870-2875
Number of pages6
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009 - Changchun, China
Duration: 9 Aug 200912 Aug 2009

Publication series

Name2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009

Conference

Conference2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009
Country/TerritoryChina
CityChangchun
Period9/08/0912/08/09

Keywords

  • Multiple sensing system
  • Pose estimation
  • UAV/MAV control
  • Vision system

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