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Scientific Programming
Volume 2016, Article ID 5369780, 8 pages
http://dx.doi.org/10.1155/2016/5369780
Research Article

A Novel Metric Online Monocular SLAM Approach for Indoor Applications

High-Tech Institute of Xi’an, Xi’an, Shaanxi 710025, China

Received 9 May 2016; Revised 29 July 2016; Accepted 7 August 2016

Academic Editor: Wenbing Zhao

Copyright © 2016 Yongfei Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M.-H. Le, A. Vavilin, and K.-H. Jo, “3D scene reconstruction enhancement method based on automatic context analysis and convex optimization,” Neurocomputing, vol. 137, pp. 71–78, 2014. View at Publisher · View at Google Scholar
  2. H. Yu, R. Sharma, R. W. Beard, and C. N. Taylor, “Observability-based local path planning and obstacle avoidance using bearing-only measurements,” Robotics and Autonomous Systems, vol. 61, no. 12, pp. 1392–1405, 2013. View at Publisher · View at Google Scholar · View at Scopus
  3. D. Yang, Z. Liu, F. Sun, J. Zhang, H. Liu, and S. Wang, “Recursive depth parameterization of ego-motion estimating: observability analysis and performance evaluation,” Information Sciences, vol. 287, pp. 38–49, 2014. View at Publisher · View at Google Scholar
  4. M. Li and A. I. Mourikis, “High-precision, consistent EKF-based visual-inertial odometry,” The International Journal of Robotics Research, vol. 32, no. 6, pp. 690–711, 2013. View at Publisher · View at Google Scholar
  5. C. Kerl, J. Sturm, and D. Cremers, “Dense visual SLAM for RGB-D cameras,” in Proceedings of the 26th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '13), pp. 2100–2106, Tokyo, Japan, November 2013. View at Publisher · View at Google Scholar · View at Scopus
  6. M. Dhome, M. Richetin, J.-T. Lapreste, and G. Rives, “Determination of the attitude of 3-D objects from a single perspective view,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 12, pp. 1265–1278, 1989. View at Publisher · View at Google Scholar · View at Scopus
  7. J. Stühmer, S. Gumhold, and D. Cremers, “Real-time dense geometry from a handheld camera,” in Pattern Recognition, M. Goesele, S. Roth, A. Kuijper, B. Schiele, and K. Schindler, Eds., vol. 6376 of Lecture Notes in Computer Science, pp. 11–20, Springer, Berlin, Germany, 2010. View at Publisher · View at Google Scholar
  8. A. J. Davison, I. D. Reid, N. D. Molton, and O. Stasse, “MonoSLAM: real-time single camera SLAM,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, pp. 1052–1067, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. D. Yang, F. Sun, S. Wang, and J. Zhang, “Simultaneous estimation of ego-motion and vehicle distance by using a monocular camera,” Science China Information Sciences, vol. 57, no. 5, pp. 1–10, 2014. View at Publisher · View at Google Scholar · View at Scopus
  10. J. Engel, J. Sturm, and D. Cremers, “Scale-aware navigation of a low-cost quadrocopter with a monocular camera,” Robotics and Autonomous Systems, vol. 62, no. 11, pp. 1646–1656, 2014. View at Publisher · View at Google Scholar · View at Scopus
  11. T. Schops, J. Enge, and D. Cremers, “Semi-dense visual odometry for AR on a smartphone,” in Proceedings of the 13th IEEE International Symposium on Mixed and Augmented Reality (ISMAR '14), pp. 145–150, IEEE, Munich, Germany, September 2014. View at Publisher · View at Google Scholar · View at Scopus
  12. E. Rodolà, A. Albarelli, D. Cremers, and A. Torsello, “A simple and effective relevance-based point sampling for 3D shapes,” Pattern Recognition Letters, vol. 59, pp. 41–47, 2015. View at Publisher · View at Google Scholar · View at Scopus
  13. H. Strasdat, J. Montiel, and A. Davison, “Scale drift-aware large scale monocular SLAM,” Robotics: Science and Systems, vol. 6, no. 6, pp. 56–62, 2010. View at Google Scholar
  14. E. Hernández, J. M. Ibarra, J. Neira, and R. Cisneros, “Visual SLAM with oriented landmarks and partial odometry,” in Proceedings of the 21st International Conference on Electrical Communications and Computers, pp. 39–45, San Andres Cholula, Mexico, September 2011.
  15. A. J. Davison, “Real-time simultaneous localisation and mapping with a single camera,” in Proceedings of the International Conference on Computer Vision (ICCV '03), pp. 1403–1410, Nice, France, October 2003.
  16. N. Ohnishi and A. Imiya, “Appearance-based navigation and homing for autonomous mobile robot,” Image and Vision Computing, vol. 31, no. 6-7, pp. 511–532, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. Å. Björck, Numerical Methods for Least Squares Problems, SIAM, Philadelphia, Pa, USA, 1996. View at Publisher · View at Google Scholar · View at MathSciNet
  18. Y. Wu and Z. Hu, “PnP problem revisited,” Journal of Mathematical Imaging and Vision, vol. 24, no. 1, pp. 131–141, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  19. J. Engel, T. Schops, and D. Cremers, “LSD-SLAM: large-scale direct monocular SLAM,” in Proceedings of the European Conference on Computer Vision (ECCV '14), pp. 834–849, Zurich, Switzerland, September 2014.
  20. R. Kümmerle, G. Grisetti, H. Strasdat, K. Konolige, and W. Burgard, “G2o: a general framework for graph optimization,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '11), pp. 3607–3613, Shanghai, China, May 2011. View at Publisher · View at Google Scholar · View at Scopus