UAS See-and-Avoid using two different approaches of Fuzzy Control

Olivares-Mendez, Miguel A., Mejias, Luis, Campoy, Pascual, Mellado-Bataller, Ignacio, & Mondragon, Ivan (2012) UAS See-and-Avoid using two different approaches of Fuzzy Control. In Digital Proceedings of the 2012 International Conference on Unmanned Aircraft Systems (ICUAS'12), Philadelphia, PA. USA. (In Press)

Accepted Version (PDF 3MB)
Accepted Version.

View at publisher


This work presents two UAS See and Avoid approaches using Fuzzy Control. We compare the performance of each controller when a Cross-Entropy method is applied to optimase the parameters for one of the controllers. Each controller receive information from an image processing front-end that detect and track targets in the environment. Visual information is then used under a visual servoing approach to perform autonomous avoidance. Experimental flight trials using a small quadrotor were performed to validate and compare the behaviour of both controllers

Impact and interest:

Citation counts are 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:

228 since deposited on 05 Jun 2012
8 in the past twelve months

Full-text downloads displays 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: 50750
Item Type: Conference Paper
Refereed: Yes
Keywords: collision avoidance, UAV, UAS, Visual Control
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 (please consult the authors).
Deposited On: 05 Jun 2012 02:13
Last Modified: 21 May 2013 09:43

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page