ViDRILO: The Visual and Depth Robot Indoor Localization with Objects information dataset
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http://hdl.handle.net/10045/58128
Títol: | ViDRILO: The Visual and Depth Robot Indoor Localization with Objects information dataset |
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Autors: | Martínez-Gómez, Jesús | García-Varea, Ismael | Cazorla, Miguel | Morell, Vicente |
Grups d'investigació o GITE: | Robótica y Visión Tridimensional (RoViT) |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
Paraules clau: | Semantic localization | Recognition | Robotic benchmarks | Sensor fusion |
Àrees de coneixement: | Ciencia de la Computación e Inteligencia Artificial |
Data de publicació: | de desembre-2015 |
Editor: | SAGE Publications |
Citació bibliogràfica: | The International Journal of Robotics Research. 2015, 34(14): 1681-1687. doi:10.1177/0278364915596058 |
Resum: | In this article we describe a semantic localization dataset for indoor environments named ViDRILO. The dataset provides five sequences of frames acquired with a mobile robot in two similar office buildings under different lighting conditions. Each frame consists of a point cloud representation of the scene and a perspective image. The frames in the dataset are annotated with the semantic category of the scene, but also with the presence or absence of a list of predefined objects appearing in the scene. In addition to the frames and annotations, the dataset is distributed with a set of tools for its use in both place classification and object recognition tasks. The large number of labeled frames in conjunction with the annotation scheme make this dataset different from existing ones. The ViDRILO dataset is released for use as a benchmark for different problems such as multimodal place classification and object recognition, 3D reconstruction or point cloud data compression. |
Patrocinadors: | This work was supported by the Ministerio de Economia y Competitividad of the Spanish Government, and by Consejería de Educación, Cultura y Deportes of the JCCM regional government through project PPII-2014-015-P (grant number DPI2013-40534-R). Jesus Martínez-Gómez is also funded by the JCCM (grant number POST2014/8171). |
URI: | http://hdl.handle.net/10045/58128 |
ISSN: | 0278-3649 (Print) | 1741-3176 (Online) |
DOI: | 10.1177/0278364915596058 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | © The Author(s) 2015 |
Revisió científica: | si |
Versió de l'editor: | http://dx.doi.org/10.1177/0278364915596058 |
Apareix a la col·lecció: | INV - RoViT - Artículos de Revistas |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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2015_Martinez_etal_IJRR_final.pdf | Versión final (acceso restringido) | 2,29 MB | Adobe PDF | Obrir Sol·licitar una còpia |
2015_Martinez_etal_IJRR_rev.pdf | Versión revisada (acceso abierto) | 6,43 MB | Adobe PDF | Obrir Vista prèvia |
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