The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 08, 2017
Filed:
Oct. 09, 2012
Universite Blaise Pascal-clermont Ii, Clermont-Ferrand, FR;
Universite D'auvergne Clermont I, Clermont Ferrand, FR;
Centre National DE LA Recherche Scientifique (C.n.r.s), Paris, FR;
Michel Dhome, Pont du Chateau, FR;
Eric Royer, Saint Georges sur Allier, FR;
Maxime Lhuillier, Clermont-Ferrand, FR;
Datta Ramadasan, Ceyrat, FR;
Nadir Karam, Clermont-Ferrand, FR;
Clément Deymier, Chamalières, FR;
Vadim Litvinov, Clermont-Ferrand, FR;
Hicham Hadj Abdelkader, Evry, FR;
Thierry Chateau, Combronde, FR;
Jean-Mare Lavest, Riom, FR;
François Marmoiton, Bussières et Pruns, FR;
Serge Alizon, Les Martres de Veyre, FR;
Laurent Malaterre, Mirefleurs, FR;
Pierre Lebraly, Giat, FR;
Universite D' Auvergne Clermont I, Clermont Ferrand, FR;
Universite Blaise Pascal-Clermong II, Clermont-ferrand, FR;
Centre National De La Recherche Scientifique (C.N.R.S.), Paris, FR;
Abstract
This method of calibration comprising the reconstruction of a 3D mapping of 3D landmarks of an environment on the basis of digital images of the environment captured by the computer-based vision system () during the movement of the craft () along a trajectory. It comprises the optimization of at least one 3D mapping corresponding to a first sequence of images by considering at least one extrinsic parameter and/or at least one intrinsic parameter and/or at least one parameter of poses and/or one parameter of 3D landmarks as constant and the optimization of at least one 3D mapping corresponding to a second sequence of images, longer than the first image sequence and including the first image sequence, by considering said at least one extrinsic parameter and/or said at least one intrinsic parameter and/or said at least one parameter of poses and/or said at least one parameter of 3D landmarks as variable so as to estimate it.