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WGANVO: odometría visual monocular basada en redes adversarias generativas

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WGANVO: odometría visual monocular basada en redes adversarias generativas

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Cremona, J.; Uzal, L.; Pire, T. (2022). WGANVO: odometría visual monocular basada en redes adversarias generativas. Revista Iberoamericana de Automática e Informática industrial. 19(2):144-153. https://doi.org/10.4995/riai.2022.16113

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Título: WGANVO: odometría visual monocular basada en redes adversarias generativas
Otro titulo: WGANVO: monocular visual odometry based on generative adversarial networks
Autor: Cremona, Javier Uzal, Lucas Pire, Taihú
Fecha difusión:
Resumen:
[EN] Traditional Visual Odometry (VO) systems, direct or feature-based, are susceptible to matching errors between images. Furthermore, monocular configurations are only capable of estimating localization up to a scale ...[+]


[ES] Los sistemas tradicionales de odometría visual (VO), directos o basados en características visuales, son susceptibles de cometer errores de correspondencia entre imágenes. Además, las configuraciones monoculares sólo ...[+]
Palabras clave: Localization , Neural networks , Mobile robots , Localización , Redes Neuronales , Robots Móviles
Derechos de uso: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Fuente:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.4995/riai.2022.16113
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/riai.2022.16113
Código del Proyecto:
info:eu-repo/grantAgreement/CONICET-UNR//PUE 0015-2016
Agradecimientos:
Este trabajo fue financiado por el CIFASIS, Centro Franco Argentino de Ciencias de la Información y de Sistemas (CONICET-UNR), con el proyecto de Unidad Ejecutora PUE 0015-2016.
Tipo: Artículo

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