Towards discrimination of challenging conditions for UGVs with visual and infrared sensors

Brunner, Christopher, Peynot, Thierry, & Underwood, James (2009) Towards discrimination of challenging conditions for UGVs with visual and infrared sensors. In Scheding, Steve (Ed.) Proceedings of the 2009 Australasian Conference on Robotics & Automation, ARAA, Sydney, Australia.

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Abstract

This work aims to contribute to reliability and integrity in perceptual systems of autonomous ground vehicles. Information theoretic based metrics to evaluate the quality of sensor data are proposed and applied to visual and infrared camera images. The contribution of the proposed metrics to the discrimination of challenging conditions is discussed and illustrated with the presence of airborne dust and smoke.

Impact and interest:

1 citations in Scopus
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51 since deposited on 06 Mar 2014
5 in the past twelve months

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ID Code: 67624
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: unmanned ground vehicles, reliable perception, cameras, infrared imaging
ISBN: 9780980740400
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2009 Please consult the authors
Deposited On: 06 Mar 2014 02:08
Last Modified: 06 Apr 2014 01:32

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