Visual metrics for the evaluation of sensor data quality in outdoor perception

Brunner, Christopher & Peynot, Thierry (2010) Visual metrics for the evaluation of sensor data quality in outdoor perception. In PerMIS '10 : Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop, ACM, Baltimore, MD, USA, pp. 1-8.

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This paper proposes an experimental study of quality metrics that can be applied to visual and infrared images acquired from cameras onboard an unmanned ground vehicle (UGV). The relevance of existing metrics in this context is discussed and a novel metric is introduced. Selected metrics are evaluated on data collected by a UGV in clear and challenging environmental conditions, represented in this paper by the presence of airborne dust or smoke.

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ID Code: 67620
Item Type: Conference Paper
Refereed: No
Additional URLs:
Keywords: unmanned ground vehicles, cameras, infrared sensing, visual metrics, data quality
DOI: 10.1145/2377576.2377578
ISBN: 9781450302906
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 2010 ACM
Deposited On: 06 Mar 2014 02:01
Last Modified: 05 Dec 2014 06:35

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