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dc.contributor.authorOrtega, Agustín-
dc.contributor.authorGalego, Ricardo-
dc.contributor.authorFerreira, Ricardo-
dc.contributor.authorBernardino, Alexandre-
dc.contributor.authorGaspar, José-
dc.contributor.authorAndrade-Cetto, Juan-
dc.identifierdoi: 10.1109/ECMR.2013.6698868-
dc.identifier.citationProceedings European Conference on Mobile Robots: 361-366 (2013)-
dc.descriptionPresentado al 6th ECMR celebrado en Barcelona del 25 al 27 de septiembre de 2013.-
dc.description.abstractThis paper presents an analysis of uncertainty in the calibration of a network of cameras. A global 3D scene model, acquired with a LIDAR scanner, allows calibrating cameras with non overlapping ¿elds of view by means of the DLT-Lines algorithm. Once the projection matrix is computed for each camera, error sources are propagated to compute estimates of each camera position uncertainty. We validate the consistency of the uncertainty analysis with Monte-Carlo simulations, and apply the technique in a real camera network. This allows to evaluate the accuracy of DLT-Lines in real settings.-
dc.description.sponsorshipA. Ortega acknowledges support from a PhD scholarship from the Mexican Council of Science and Technology (CONACYT) and a Research Stay Grant from the Agència de Gestiò d’Ajuts Universitaris i de Recerca (AGAUR) of The Generalitat of Catalonia (2012 CTP00013). The work is also funded by the Portuguese Science Foundation (FCT) project PEst-OE / EEI / LA0009 / 2011, by the FCT project PTDC / EEACRO / 105413 / 2008 DCCAL, and by the project High Definition Analytics (HDA), QREN - I&D em Co-Promoçao 13750; as well as the the Spanish Ministry of Economy and Competitiveness Project PAU+ (DPI-2011-27510) and the EU Project ARCAS (FP7-287617).-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.titleEstimation of camera calibration uncertainty using LIDAR data-
dc.typecomunicación de congreso-
dc.description.versionPeer Reviewed-
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