Journal
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
Volume 32, Issue 14, Pages 1695-1699Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/0278364913509035
Keywords
Data paper; PR2; Willow Garage; laser; stereo; Simultaneous Localization and Mapping; mobile robotics; CSAIL; Stata; MIT
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Funding
- Office of Naval Research [N00014-10-1-0936, N00014-11-1-0688, N00014-12-10020, N00014-131-0588]
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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 areasrobotic 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-planswhich 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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