The RobotriX: An Extremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor | Arquitecturas Inteligentes Aplicadas (AIA) | es_ES |
dc.contributor | Robótica y Visión Tridimensional (RoViT) | es_ES |
dc.contributor.author | Garcia-Garcia, Alberto | - |
dc.contributor.author | Martínez González, Pablo | - |
dc.contributor.author | Oprea, Sergiu | - |
dc.contributor.author | Castro-Vargas, John Alejandro | - |
dc.contributor.author | Jover-Álvarez, Álvaro | - |
dc.contributor.author | Orts-Escolano, Sergio | - |
dc.contributor.author | Garcia-Rodriguez, Jose | - |
dc.contributor.other | Universidad de Alicante. Departamento de Tecnología Informática y Computación | es_ES |
dc.date.accessioned | 2021-03-08T18:20:26Z | - |
dc.date.available | 2021-03-08T18:20:26Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | https://github.com/3dperceptionlab/therobotrix | - |
dc.identifier.uri | http://hdl.handle.net/10045/113500 | - |
dc.description.abstract | Enter the RobotriX, an extremely photorealistic indoor dataset designed to enable the application of deep learning techniques to a wide variety of robotic vision problems. The RobotriX consists of hyperrealistic indoor scenes which are explored by robot agents which also interact with objects in a visually realistic manner in that simulated world. Photorealistic scenes and robots are rendered by Unreal Engine into a virtual reality headset which captures gaze so that a human operator can move the robot and use controllers for the robotic hands; scene information is dumped on a per-frame basis so that it can be reproduced offline using UnrealCV to generate raw data and ground truth labels. By taking this approach we were able to generate a dataset of 38 semantic classes across 512 sequences totaling 8M stills recorded at +60 frames per second with full HD resolution. For each frame, RGB-D and 3D information is provided with full annotations in both spaces. Thanks to the high quality and quantity of both raw information and annotations, the RobotriX will serve as a new milestone for investigating 2D and 3D robotic vision tasks with large-scale data-driven techniques. | es_ES |
dc.description.sponsorship | Instituto Universitario de Investigación en Informática (Grupo de Interés 3D Perception Lab). This work has been also funded by the Spanish Government TIN2016-76515-R grant for the COMBAHO project, supported with Feder funds. This work has also been supported by a Spanish national grant for PhD studies FPU15/04516 and by the University of Alicante project GRE16-19 and by the Valencian Government project GV/2018/022. Experiments were made possible by a generous hardware donation from NVIDIA. | es_ES |
dc.language | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.rights | © Universitat d'Alacant / Universidad de Alicante | es_ES |
dc.subject | Indoor Dataset | es_ES |
dc.subject | Photorealism | es_ES |
dc.subject | Deep Learning | es_ES |
dc.subject | Robotics | es_ES |
dc.subject.other | Arquitectura y Tecnología de Computadores | es_ES |
dc.title | The RobotriX: An Extremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions | es_ES |
dc.type | dataset | es_ES |
dc.peerreviewed | no | es_ES |
dc.identifier.doi | 10.1109/IROS.2018.8594495 | - |
dc.relation.publisherversion | https://doi.org/10.1109/IROS.2018.8594495 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.holder | Universidad de Alicante | - |
Aparece en las colecciones: | Registro de Programas de Ordenador y Bases de Datos |
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Archivo | Descripción | Tamaño | Formato | |
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GitHub-3dperceptionlab_therobotrix.pdf | 1,2 MB | Adobe PDF | Abrir Vista previa | |
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