Is the sun too bright in Queensland? An approach to robust outdoor colour beacon detection
Contribuinte(s) |
Sammut, Claude |
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Data(s) |
2005
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Australian Robotics and Automation Association |
Relação |
http://eprints.qut.edu.au/83246/1/__staffhome.qut.edu.au_staffgroupm%24_meaton_Desktop_Authorsdraft_Roberts.pdf http://www.araa.asn.au/acra/acra2005/papers/tews.pdf 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. |
Direitos |
Copyright 2005 Australian Robotics and Automation Association |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Robotics #Robotic vision |
Tipo |
Conference Paper |