Detection and tracking of external features in an urban environment using an autonomous helicopter
Mejias, L.O., Saripalli, S. , Sukhatme, G.S. , & Cervera, P.C. (2005) Detection and tracking of external features in an urban environment using an autonomous helicopter. In Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005. ICRA 2005, IEEE, Barcelona, Spain, pp. 3972-3977.
We present the design and implementation of a real-time vision-based approach to detect and track features in a structured environment using an autonomous helicopter. Using vision as a sensor enables the helicopter to track features in an urban environment. We use vision for feature detection and a combination of vision and GPS for navigation and tracking. The vision algorithm sends high level velocity commands to the helicopter controller which is then able to command the helicopter to track them. We present results obtained from flight trials that demonstrate our algorithms for detection and tracking are applicable in real world scenarios by applying them to the task of tracking rectangular features in structured environments.
Impact and interest:
Citation countsare sourced monthly fromand 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 theindexing service can be viewed at the linked Google Scholar™ search.
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.
|Item Type:||Conference Paper|
|Keywords:||visual servoing, helicopter, feature tracking, unmanned aerial vehicles|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)|
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
|Divisions:||Current > Research Centres > Australian Research Centre for Aerospace Automation|
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2005 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||29 Jun 2007|
|Last Modified:||17 May 2011 15:17|
Repository Staff Only: item control page