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Volume 2019, Article ID 8176489, 11 pages
https://doi.org/10.1155/2019/8176489
Research Article

Passive Initialization Method Based on Motion Characteristics for Monocular SLAM

School of Mechatronical Engineering, Beijing Institute of Technology, 5th South Zhongguancun Street, Beijing, China

Correspondence should be addressed to ChengWei Yang; moc.621@9002iewgnehcgnay

Received 12 October 2018; Accepted 23 January 2019; Published 5 February 2019

Guest Editor: Jungong Han

Copyright © 2019 Yu Yang 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. G. Grisetti, R. Kummerle, C. Stachniss, and W. Burgard, “A tutorial on graph-based SLAM,” IEEE Intelligent Transportation Systems Magazine, vol. 2, no. 4, pp. 31–43, 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. B. Triggs, P. F. McLauchlan, R. I. Hartley, and A. W. Fitzgibbon, “"Bundle adjustment” a modern synthesis,” in Proceedings of the Vision Algorithms: Theory and Practice, B. Triggs, A. Zisserman, and R. Szeliski, Eds., vol. 1883 of Lecture Notes in Computer Science, pp. 298–372, Springer, Corfu, Greece, 1999. View at Publisher · View at Google Scholar
  3. 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, IEEE, Shanghai, China, May 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. S. Agarwal and K. Mierle, “Ceres solver,” http://ceres-solver.org. View at Publisher · View at Google Scholar
  5. Y. Lin, F. Gao, T. Qin et al., “Autonomous aerial navigation using monocular visual-inertial fusion,” Journal of Field Robotics, vol. 35, no. 1, pp. 23–51, 2018. View at Publisher · View at Google Scholar · View at Scopus
  6. F. Nex and F. Remondino, “UAV for 3D mapping applications: a review,” Applied Geomatics, vol. 6, no. 1, pp. 1–15, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Lin, M. A. Garratt, and A. J. Lambert, “Monocular vision-based real-time target recognition and tracking for autonomously landing an UAV in a cluttered shipboard environment,” Autonomous Robots, vol. 41, no. 4, pp. 881–901, 2017. View at Publisher · View at Google Scholar · View at Scopus
  8. D. Scaramuzza, M. C. Achtelik, L. Doitsidis et al., “Vision-controlled micro flying robots: From system design to autonomous navigation and mapping in GPS-denied environments,” IEEE Robotics and Automation Magazine, vol. 21, no. 3, pp. 26–40, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Ventura, C. Arth, G. Reitmayr, and D. Schmalstieg, “Global localization from monocular SLAM on a mobile phone,” IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 4, pp. 531–539, 2014. View at Publisher · View at Google Scholar · View at Scopus
  10. G. Klein and D. Murray, “Parallel tracking and mapping for small AR workspaces,” in Proceedings of the 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR '07), pp. 225–234, Nara, Japan, November 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. R. Mur-Artal, J. M. M. Montiel, and J. D. Tardos, “ORB-SLAM: a versatile and accurate monocular SLAM system,” IEEE Transactions on Robotics, vol. 31, no. 5, pp. 1147–1163, 2015. View at Publisher · View at Google Scholar · View at Scopus
  12. R. Mur-Artal and J. D. Tardos, “ORB-SLAM2: an open-source SLAM system for monocular, stereo, and RGB-D cameras,” IEEE Transactions on Robotics, vol. 33, no. 5, pp. 1255–1262, 2017. View at Publisher · View at Google Scholar · View at Scopus
  13. C. Forster, M. Pizzoli, and D. Scaramuzza, “SVO: fast semi-direct monocular visual odometry,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '14), pp. 15–22, IEEE, Hong Kong, June 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Pizzoli, C. Forster, and D. Scaramuzza, “REMODE: Probabilistic, monocular dense reconstruction in real time,” in Proceedings of the 2014 IEEE International Conference on Robotics and Automation, ICRA 2014, pp. 2609–2616, IEEE, June 2014. View at Publisher · View at Google Scholar · View at Scopus
  15. J. Engel, T. Schöps, and D. Cremers, “LSD-SLAM: large-scale direct monocular SLAM,” in Proceedings of the Computer Vision –ECCV 2014, D. Fleet, T. Pajdla, B. Schiele, and T. Tuytelaars, Eds., vol. 8690, pp. 834–849, Springer International Publishing, 2014. View at Publisher · View at Google Scholar · View at Scopus
  16. J. Engel, V. Koltun, and D. Cremers, “Direct sparse odometry,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 3, pp. 611–625, 2018. View at Publisher · View at Google Scholar · View at Scopus
  17. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2nd edition, 2003. View at MathSciNet
  18. X.-S. Gao, X.-R. Hou, J. Tang, and H.-F. Cheng, “Complete solution classification for the perspective-three-point problem,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 8, pp. 930–943, 2003. View at Publisher · View at Google Scholar · View at Scopus
  19. V. Lepetit, F. Moreno-Noguer, and P. Fua, “EPnP: an accurate O(n) solution to the PnP problem,” International Journal of Computer Vision, vol. 81, no. 2, pp. 155–166, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. L. Kneip, H. Li, and Y. Seo, “UPnP: An optimal O(n) solution to the absolute pose problem with universal applicability,” in Proceedings of the European Conference on Computer Vision, vol. 8689, pp. 127–142, Springer, 2014. View at Scopus