Is the sun too bright in Queensland? An approach to robust outdoor colour beacon detection

Tews, Ashley, Robert, Jonathan, Roberts, Jonathan M., & Usher, Kane (2005) Is the sun too bright in Queensland? An approach to robust outdoor colour beacon detection. In Sammut, Claude (Ed.) Proceedings of the Australasian Conference on Robotics and Automation, 2005, Australian Robotics and Automation Association, Sydney, NSW, pp. 1-10.

View at publisher (open access)


Using cameras onboard a robot for detecting a coloured stationary target outdoors is a difficult task. Apart from the complexity of separating the target from the background scenery over different ranges, there are also the inconsistencies with direct and reflected illumination from the sun,clouds, moving and stationary objects. They can vary both the illumination on the target and its colour as perceived by the camera. In this paper, we analyse the effect of environment conditions, range to target, camera settings and image processing on the reported colours of various targets. The analysis indicates the colour space and camera configuration that provide the most consistent colour values over varying environment conditions and ranges. This information is used to develop a detection system that provides range and bearing to detected targets. The system is evaluated over various lighting conditions from bright sunlight, shadows and overcast days and demonstrates robust performance. The accuracy of the system is compared against a laser beacon detector with preliminary results indicating it to be a valuable asset for long-range coloured target detection.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

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:

24 since deposited on 09 Apr 2015
4 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: 83246
Item Type: Conference Paper
Refereed: Yes
Keywords: Robotics, Robotic vision
ISBN: 0958758379
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2005 Australian Robotics and Automation Association
Deposited On: 09 Apr 2015 22:43
Last Modified: 13 Apr 2015 16:40

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page