Large-scale mosaicking with spectral registration based simultaneous localization and mapping (iFMI-SLAM) in the Ligurian Sea (Contributo in atti di convegno)

Type
Label
  • Large-scale mosaicking with spectral registration based simultaneous localization and mapping (iFMI-SLAM) in the Ligurian Sea (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/OCEANS-Bergen.2013.6608146 (literal)
Alternative label
  • Pfingsthorn, Max; Bülow, Heiko; Birk, Andreas; Ferreira, Fausto; Veruggio, Gianmarco; Caccia, Massimo; Bruzzone, Gabriele (2013)
    Large-scale mosaicking with spectral registration based simultaneous localization and mapping (iFMI-SLAM) in the Ligurian Sea
    in OCEANS - Bergen, 2013 MTS/IEEE
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pfingsthorn, Max; Bülow, Heiko; Birk, Andreas; Ferreira, Fausto; Veruggio, Gianmarco; Caccia, Massimo; Bruzzone, Gabriele (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/record/display.url?eid=2-s2.0-84886398158&origin=inward (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Jacobs University Bremen; Consiglio Nazionale delle Ricerche (literal)
Titolo
  • Large-scale mosaicking with spectral registration based simultaneous localization and mapping (iFMI-SLAM) in the Ligurian Sea (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 9781479900015 (literal)
Abstract
  • Underwater image mosaicking is an important tool for visual surveys, object detection, and as a means to control the underwater robot if done online. In this paper, novel results of an spectral registration method on image data collected by a remotely operated vehicle in the Ligurian Sea are presented. The registration method computes 2D translation, rotation, and scale, along with a covariance matrix for these parameters. An appearance-based place recognition method is used to detect loops. These methods are embedded in a graph-based Simultaneous Localization and Mapping framework to provide a globally consistent and optimized map of the photographed ground. © 2013 IEEE. (literal)
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