http://www.cnr.it/ontology/cnr/individuo/prodotto/ID308261
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
- 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
- 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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