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Real Time Camera Homography Error Modelling For Sensorial Data Fusion

The 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 homograp...

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Main Author: Caballero, Rony (author)
Other Authors: Berbey, Aranzazu (author)
Format: article
Language:Spanish
Published: 2018
Subjects:
camera homography estimation; IMU data fusión; bias compensation.
Online Access:http://revistas.utp.ac.pa/index.php/memoutp/article/view/1900
http://ridda2.utp.ac.pa/handle/123456789/5685
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author Caballero, Rony
author2 Berbey, Aranzazu
author2_role author
author_browse Berbey, Aranzazu
Caballero, Rony
author_facet Caballero, Rony
Berbey, Aranzazu
author_role author
collection Repositorio Institucional de documento digitales de acceso abierto de la UTP
dc.contributor.none.fl_str_mv
dc.creator.none.fl_str_mv Caballero, Rony
Berbey, Aranzazu
dc.date.none.fl_str_mv 2018-11-26
2018-12-04T14:32:07Z
2018-12-04T14:32:07Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://revistas.utp.ac.pa/index.php/memoutp/article/view/1900
http://ridda2.utp.ac.pa/handle/123456789/5685
dc.language.none.fl_str_mv spa
dc.publisher.none.fl_str_mv Universidad Tecnológica de Panamá
dc.relation.none.fl_str_mv http://revistas.utp.ac.pa/index.php/memoutp/article/view/1900/2843
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.source.none.fl_str_mv Memorias de Congresos UTP; 2018: The 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines - CLAWAR 2018; 155-166
reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP
instname:Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá
dc.subject.none.fl_str_mv camera homography estimation; IMU data fusión; bias compensation.
dc.title.none.fl_str_mv Real Time Camera Homography Error Modelling For Sensorial Data Fusion
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description The 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.
eu_rights_str_mv openAccess
format article
id lrtest_d6f2f4de50419f2e72f0ef17a4b66608
instacron_str U Tecnológica de Panamá
institution U Tecnológica de Panamá
instname_str Universidad Tecnológica de Panamá
language spa
network_acronym_str lrtest
network_name_str lr
oai_identifier_str oai:ridda2.utp.ac.pa:123456789/5685
publishDate 2018
publishDateSort 2018
publisher.none.fl_str_mv Universidad Tecnológica de Panamá
reponame_str Repositorio Institucional de documento digitales de acceso abierto de la UTP
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
spelling Real Time Camera Homography Error Modelling For Sensorial Data FusionCaballero, RonyBerbey, Aranzazucamera homography estimation; IMU data fusión; bias compensation.The 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.Universidad Tecnológica de Panamá2018-11-262018-12-04T14:32:07Z2018-12-04T14:32:07Zinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://revistas.utp.ac.pa/index.php/memoutp/article/view/1900http://ridda2.utp.ac.pa/handle/123456789/5685Memorias de Congresos UTP; 2018: The 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines - CLAWAR 2018; 155-166reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáspahttp://revistas.utp.ac.pa/index.php/memoutp/article/view/1900/2843info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/oai:ridda2.utp.ac.pa:123456789/56852019-11-29T17:34:14Z
spellingShingle Real Time Camera Homography Error Modelling For Sensorial Data Fusion
Caballero, Rony
camera homography estimation; IMU data fusión; bias compensation.
status_str publishedVersion
title Real Time Camera Homography Error Modelling For Sensorial Data Fusion
title_full Real Time Camera Homography Error Modelling For Sensorial Data Fusion
title_fullStr Real Time Camera Homography Error Modelling For Sensorial Data Fusion
title_full_unstemmed Real Time Camera Homography Error Modelling For Sensorial Data Fusion
title_short Real Time Camera Homography Error Modelling For Sensorial Data Fusion
title_sort Real Time Camera Homography Error Modelling For Sensorial Data Fusion
topic camera homography estimation; IMU data fusión; bias compensation.
url http://revistas.utp.ac.pa/index.php/memoutp/article/view/1900
http://ridda2.utp.ac.pa/handle/123456789/5685

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