The MIT Stata Center Dataset
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“The MIT Stata Center Dataset” by M.F. Fallon, H. Johannsson, M. Kaess, and J.J. Leonard. Intl. J. of Robotics Research, IJRR, vol. 32, no. 14, Dec. 2013, pp. 1695-1699.
Abstract
This paper presents a large scale dataset of vision (stereo and RGB-D), laser and proprioceptive data collected over an extended duration by a Willow Garage PR2 robot in the 10 story MIT Stata Center. As of September 2012 the dataset comprises over 2.3 TB, 38 h and 42 km (the length of a marathon). The dataset is of particular interest to robotics and computer vision researchers interested in long-term autonomy. It is expected to be useful in a variety of research areas - robotic mapping (long-term, visual, RGB-D or laser), change detection in indoor environments, human pattern analysis, long-term path planning. For ease of use the original ROS ‘bag’ log files are provided and also a derivative version combining human readable data and imagery in standard formats. Of particular importance, this dataset also includes ground-truth position estimates of the robot at every instance (to typical accuracy of 2 cm) using as-built floor-plans - which were carefully extracted using our software tools. The provision of ground-truth for such a large dataset enables more meaningful comparison between algorithms than has previously been possible.
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BibTeX entry:
@article{Fallon13ijrr,
author = {M.F. Fallon and H. Johannsson and M. Kaess and J.J. Leonard},
title = {The {MIT} {S}tata {C}enter Dataset},
journal = {Intl. J. of Robotics Research, IJRR},
volume = {32},
number = {14},
pages = {1695-1699},
month = {Dec},
year = {2013}
}