Image hashing for loop closing in underwater visual SLAM

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dc.contributor.author Bonin-Font, Francisco
dc.contributor.author Burguera Burguera, Antonio
dc.contributor.author Oliver Codina, Gabriel
dc.date.accessioned 2025-09-03T07:05:24Z
dc.date.available 2025-09-03T07:05:24Z
dc.date.issued 2025-09-03
dc.identifier.citation Bonin Font, F., Burguera Burguera, A. i Oliver Codina, G.A. Image hashing for loop closing in underwater visual SLAM. En 9th International Workshop on Marine Technology (MARTECH 2021). ""Instrumentation Viewpoint", 2021, 21, 8-9. en
dc.identifier.uri http://hdl.handle.net/11201/171219
dc.description.abstract [eng] This article presents an experimental assessment of a hash-based loop closure detection methodology specially addressed to Multi-robot underwater visual Simultaneous Localization and Mapping (SLAM). This methodology uses two different top quality image global descriptors, one learned (NetVLAD) and one handcrafted (HALOC). Complete tests were done to compare the performance of both hashing techniques applied in an extensive set of real underwater imagery. en
dc.format application/pdf en
dc.format.extent 8-9
dc.language.iso eng
dc.publisher SARTI
dc.relation.ispartof 9th International Workshop on Marine Technology (MARTECH 2021)". ""Instrumentation Viewpoint", núm. 21, p. 8-9. en
dc.relation.ispartofseries Instrumentation viewpoint - 2021; 21 en
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject 004 - Informàtica ca
dc.subject 62 - Enginyeria. Tecnologia ca
dc.subject.other Visual Loop Closing Detection en
dc.subject.other Underwater Robotics en
dc.subject.other SLAM en
dc.subject.other Convolution Neural Networks en
dc.title Image hashing for loop closing in underwater visual SLAM en
dc.type Book chapter
dc.type info:eu-repo/semantics/bookpart
dc.type info:eu-repo/semantics/conferenceObject
dc.type conferenceObject
dc.rights.accessRights info:eu-repo/semantics/openAccess


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