Endres F, Hess J, Sturm J, Cremers D, Burgard W (2014)
Publication Type: Journal article
Publication year: 2014
Book Volume: 30
Pages Range: 177-187
Article Number: 6594910
Journal Issue: 1
In this paper, we present a novel mapping system that robustly generates highly accurate 3-D maps using an RGB-D camera. Our approach requires no further sensors or odometry. With the availability of low-cost and light-weight RGB-D sensors such as the Microsoft Kinect, our approach applies to small domestic robots such as vacuum cleaners, as well as flying robots such as quadrocopters. Furthermore, our system can also be used for free-hand reconstruction of detailed 3-D models. In addition to the system itself, we present a thorough experimental evaluation on a publicly available benchmark dataset. We analyze and discuss the influence of several parameters such as the choice of the feature descriptor, the number of visual features, and validation methods. The results of the experiments demonstrate that our system can robustly deal with challenging scenarios such as fast camera motions and feature-poor environments while being fast enough for online operation. Our system is fully available as open source and has already been widely adopted by the robotics community. © 2013 IEEE.
APA:
Endres, F., Hess, J., Sturm, J., Cremers, D., & Burgard, W. (2014). 3-D Mapping with an RGB-D camera. IEEE Transactions on Robotics, 30(1), 177-187. https://dx.doi.org/10.1109/TRO.2013.2279412
MLA:
Endres, Felix, et al. "3-D Mapping with an RGB-D camera." IEEE Transactions on Robotics 30.1 (2014): 177-187.
BibTeX: Download