QUT ePrints

Helicopter automation using a low-cost sensing system

Buskey, Gregg, Roberts, Jonathan M., Corke, Peter, & Wyeth, Gordon (2003) Helicopter automation using a low-cost sensing system. In Roberts, Jonathan & Wyeth, Gordon (Eds.) Proceedings of the Australasian Conference on Robotics and Automation, 2003, Australian Robotics and Automation Association Inc, Brisbane, Queensland.

View at publisher

Abstract

This paper details the design of an autonomous helicopter control system using a low cost sensor suite. Control is maintained using simple nested PID loops. Aircraft attitude, velocity, and height is estimated using an in-house designed IMU and vision system. Information is combined using complimentary filtering. The aircraft is shown to be stabilised and responding to high level demands on all axes, including heading, height, lateral velocity and longitudinal velocity.

Impact and interest:

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

142 since deposited on 23 Jun 2010
36 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 32818
Item Type: Conference Paper
Additional URLs:
ISBN: 0958758352
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2003 [please consult the authors]
Deposited On: 23 Jun 2010 10:28
Last Modified: 12 Sep 2014 17:34

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page