The COBRA fixed-wing georeferenced imagery dataset
International Journal of Intelligent Unmanned Systems
ISSN: 2049-6427
Article publication date: 11 May 2015
Abstract
Purpose
The purpose of this paper is to present a localization and mapping data set acquired by a fixed-wing unmanned aerial vehicle (UAV). The data set was collected for educational and research purposes: to save time in dealing with hardware and to compare the results with a benchmark data set. The data were collected in standard Robot Operating System (ROS) format. The environment, fixed-wing, and sensor configuration are explained in detail. GPS coordinates of the fixed-wing are also available as ground truth. The data set is available for download (www.ece.unb.ca/COBRA/open_source.htm).
Design/methodology/approach
The data were collected in standard ROS format. The environment, fixed-wing, and sensor configuration are explained in detail.
Findings
The data set can be used for target localization and mapping. The data were collected to assist algorithm developments and help researchers to compare their results. Robotic data sets are specifically important when they are related to unmanned systems such as fixed-wing aircraft.
Originality/value
The Robotics Data Set Repository (RADISH) by A. Howard and N. Roy hosts 41 well-known data sets with different sensors; however, there is no fixed-wing data set in RADISH. This work presents two data sets collected by a fixed-wing aircraft using ROS standards. The data sets can be used for target localization and SLAM.
Keywords
Acknowledgements
This research is supported by Natural Sciences and Engineering Research Council of Canada (NSERC) and Canada Foundation for Innovation.
Citation
Saeedi, S., Thibault, C., Trentini, M. and Li, H. (2015), "The COBRA fixed-wing georeferenced imagery dataset", International Journal of Intelligent Unmanned Systems, Vol. 3 No. 2/3, pp. 62-71. https://doi.org/10.1108/IJIUS-10-2014-0008
Publisher
:Emerald Group Publishing Limited
Copyright © 2015, Emerald Group Publishing Limited