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Real Time Camera Homography Error Modelling For Sensorial Data Fusion

dc.contributores-ES
dc.creatorCaballero, Rony
dc.creatorBerbey, Aranzazu
dc.date2018-11-26
dc.date.accessioned2018-12-04T14:32:07Z
dc.date.available2018-12-04T14:32:07Z
dc.identifierhttp://revistas.utp.ac.pa/index.php/memoutp/article/view/1900
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/5685
dc.descriptionThe camera homography estimation involves using complex algorithms. They provide good results after some interactions, however the error model provided for such algorithm seems to be no appropriate for sensorial data fusion in real time. In this work a new methodology is proposed for camera homography and IMU data fusion. The experiment consists in rotate the camera. The experiment is done for frames. Here it is presented results about the error in homography estimation with and without bias compensation. The last section concerns about the experimental results and conclusions about this approach.es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherUniversidad Tecnológica de Panamáes-ES
dc.relationhttp://revistas.utp.ac.pa/index.php/memoutp/article/view/1900/2843
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceMemorias de Congresos UTP; 2018: The 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines - CLAWAR 2018; 155-166es-ES
dc.subjectcamera homography estimation; IMU data fusión; bias compensation.es-ES
dc.titleReal Time Camera Homography Error Modelling For Sensorial Data Fusiones-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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