Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/83981
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Burns, D. | en |
dc.contributor.author | Lawson, L. | en |
dc.contributor.author | Morrison, C. | en |
dc.contributor.author | Anvar, A. | en |
dc.date.issued | 2013 | en |
dc.identifier.citation | Proceedings of the 2013 2nd Submarine Institute of Australia Technnology Conference, 2013 / article 29 | en |
dc.identifier.uri | http://hdl.handle.net/2440/83981 | - |
dc.description.statementofresponsibility | David Burns, Lee Lawson, Christopher Morrison and Amir Anvar | en |
dc.language.iso | en | en |
dc.publisher | Submarine Institute of Australia | en |
dc.rights | Copyright status unknown | en |
dc.source.uri | http://www.submarineinstitute.com/Shop/Conference-Proceedings/Conference-2013-Proceedings.html | en |
dc.title | Intelligent maritime UAV catapult robot, detection & tracking using fast SLAM: A feasibility study | en |
dc.type | Conference paper | en |
dc.contributor.conference | Submarine Institute of Australia Technology Conference (2nd : 2013 : Adelaide, South Australia) | en |
dc.publisher.place | online | en |
pubs.publication-status | Published | en |
Appears in Collections: | Aurora harvest Mechanical Engineering conference papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.