Cho, Y.-H., Rubinato, M. and Nichols, A. orcid.org/0000-0003-2821-621X (2017) The Kinect sensor as a tool for remote flow characterisation. In: E-proceeding of the 37th IAHR World Congress. IAHR World Congress 2017, 13-18 Aug 2017, Kuala Lumpur, Malaysia. International Association for Hydro-Environment Engineering and Research (IAHR) , pp. 5600-5607.
Abstract
Recent research has shown a practical interest in the dynamics of water surfaces (Fujita et al., 2011; Nichols, 2013; Horoshenkov et al., 2013). However, the ability to robustly measure the three-dimensional shape or water surfaces, particularly in the field, is still challenging. One technology that shows promise is the Microsoft Kinect sensor. An examination of low-cost 3D flow surface measurements was presented by Nichols and Rubinato (2016), who showed the potential for the sensors to measure opaque flow surfaces, with some limited examination of clear water flows. However, many flows involve clear water without an opaque surface, and the ability of Kinect sensors to measure in these conditions is unknown. This paper presents an initial study into the potential for Kinect sensors to be used for mapping clear water surfaces.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IAHR |
Keywords: | Water surface fluctuation; Kinect sensor; Open-channel flow; Free-surface dynamics; Clear water |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 10 Sep 2018 12:35 |
Last Modified: | 10 Sep 2018 12:35 |
Status: | Published |
Publisher: | International Association for Hydro-Environment Engineering and Research (IAHR) |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133258 |