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Low-cost Energy Measurement and Estimation for Autonomous Underwater Vehicles Valerio De Carolis, David M. Lane and Keith E. Brown Ocean System Laboratory, School of Engineering & Physical Sciences Heriot-Watt University
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Document Date: 2014-04-21 04:55:24


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File Size: 831,00 KB

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Company

Power Electronics / Ocean Systems Laboratory / Advanced Current Sensing Suits High-Rel Systems / Real-Time Computing Systems / /

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Facility

Physical Sciences Heriot-Watt University / Ocean Systems Laboratory / Heriot-Watt University / /

IndustryTerm

energy vector / predicted energy / energy measurement solution / open source tool / software module / forward-predicted energy / energy consumption / integrated energy management system / proposed energy estimation model / improved fault diagnosis systems / energy measurement method / real energy usage / energy requirements / estimated energy / autonomous systems / low-energy path / energy values / energy estimation model / vehicle energy usage / energy efficiency / low voltage data acquisition devices / constant energy usage / open source software / sensing device / required energy / dedicated software module / energy model / vehicle energy consumption / energy-efficient point of view / integratable current sensor technologies / energy usage / energy estimation / energy / /

Organization

School of Engineering / ELN / Heriot-Watt University / European Union / /

Person

J. Van Wyk / C. Xiao / W. Odendaal / David M. Lane / L. Zhao / T. Asada / /

Position

motion planner / proposed model for inspection mission / wB / external trajectory planner / /

Product

Ion / /

PublishedMedium

Machine Learning / /

Technology

ADC / AV / sensor technologies / Machine Learning / simulation / operating system / /

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