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UMA-Offices

Authors: Ruiz Sarmiento, Jose Raul; Fernandez Moral, Eduardo;
Abstract

The UMA-Offices dataset was collected in our facilities at the University of Málaga. It consist of 25 scenarios captured through an RGB-D sensor mounted on a robot. More info here: https://mapir.isa.uma.es/mapirwebsite/?p=2407 If you use the dataset, please cite it as: @INPROCEEDINGS{Ruiz-Sarmiento-KBS-2015, author = {Ruiz-Sarmiento, J. R. and Galindo, Cipriano and Gonz{\'{a}}lez-Jim{\'{e}}nez, Javier}, title = {Exploiting Semantic Knowledge for Robot Object Recognition}, journal = {Knowledge-Based Systems}, volume = {86}, year = {2015}, doi = {doi:10.1016/j.knosys.2015.05.032}, pages = {131--142}, } @inproceedings{fernandez2013fast, title = {Fast place recognition with plane-based maps}, author = {Fern{\'a}ndez-Moral, Eduardo and Mayol-Cuevas, W and Ar{\'e}valo, Vicente and Gonz{\'a}lez-Jim{\'e}nez, J}, booktitle = {Robotics and Automation (ICRA), 2013 IEEE International Conference on}, pages = {2719--2724}, year = {2013}, organization = {IEEE}

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Keywords

Artificial Intelligence, Offices, Computer vision, Robotics, Object recognition, Point clouds

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average