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A model of AUV survey feature resolution and error estimation for deployment optimization

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Guihen, D and King, PD and Lucieer, V, A model of AUV survey feature resolution and error estimation for deployment optimization, Autonomous Underwater Vehicles 2016 abstracts, 06-09 November, Tokyo, Japan (2016) [Conference Extract]


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Item Details

Item Type:Conference Extract
Keywords:AUV, error estimation
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Surveying (incl. hydrographic surveying)
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:Guihen, D (Dr Damien Guihen)
UTAS Author:King, PD (Mr Peter King)
UTAS Author:Lucieer, V (Dr Vanessa Lucieer)
ID Code:113586
Year Published:2016
Deposited By:Ecology and Biodiversity
Deposited On:2017-01-09
Last Modified:2017-01-10
Downloads:0

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