Towards discrimination of challenging conditions for UGVs with visual and infrared sensors
| Contribuinte(s) |
Scheding, Steve |
|---|---|
| Data(s) |
01/12/2009
|
| Resumo |
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. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
ARAA |
| Relação |
http://eprints.qut.edu.au/67624/1/Brunner-ACRA-2009-Final.pdf http://www.araa.asn.au/acra/acra2009/papers/pap150s1.pdf 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. |
| Direitos |
Copyright 2009 Please consult the authors |
| Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
| Palavras-Chave | #080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING #unmanned ground vehicles #reliable perception #cameras #infrared imaging |
| Tipo |
Conference Paper |
