Last modified: 2018-10-08
Abstract
Keywords
References
1. Hertzberg C., Wagner R. and Birbach O. “Experiences in building a visual slam system from open source components”. In: Proc. IEEE International Conference on Robotics and Automation, 2011, pp. 2644-2651.
2. Henry P., Krainin M. and Herbst E. “RGB-D mapping: Using depth cameras for dense 3D modeling of indoor environments”. In. Proc. 12th International Symposium on Experimental Robotics, 2014, pp. 477-491.
3. Vokhmintsev A. and Yakovlev K. “A Real-time Algorithm for Mobile Robot Mapping Based on Rotation invariant Descriptors and ICP”. In: Proc. of 5th Analysis of Images, Social Networks and Texts. Springer. Communications in Computer and Information Science, Vol. 661, 2017, pp. 357-369.
4. Besl P. and McKay N. “A method for registration of 3-D shapes”. IEEE Transactions of Pattern Analysis and Machine Intelligence, 1992, 14 (2): 239–256.
5. Vokhmintsev A., Timchenko M. and Yakovlev K. “Simultaneous localization and mapping in unknown environment using dynamic matching of images and registration of point clouds”. In: Proc. of IEEE Proc. 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2017.
6. Chen Y. “Kalman filter for robot vision: a survey”. Journal IEEE Transactions on Industrial Electronics, 2012, 59: 4409–4420.
7. Horn B. “Closed-Form Solution of Absolute Orientation Using Unit Quaternions”. Journal of the Optical Society of America A, 1987, 4(4): 629–642.
8. Horn B., Hilden H. and Negahdaripour S. “Closed-form Solution of Absolute Orientation Using Orthonormal Matrices”. Journal of the Optical Society of America A, 1988, 5(7): 1127-1135.
9. Du S., Zheng N., Ying S. and Liu J. “Affine iterative closest point algorithm for point set registration”. Pattern Recognition Letters, 2010, 31: 791–799.
10. Low K.L. “Linear least-squares optimization for point-to-plane ICP surface registration”. Technical Report TR04-004, Department of Computer Science, University of North Carolina at Chapel Hill, 2004.
11. Khoshelham K. “Closed-form solutions for estimating a rigid motion from plane correspondences extracted from point clouds”. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 114: 78–91.
12. Vokhmintsev A. and Yakovlev K. “A Real-time Algorithm for Mobile Robot Mapping Based on Rotation invariant Descriptors and ICP”. In: Proc. of 5th Analysis of Images, Social Networks and Texts. Springer. Communications in Computer and Information Science, Vol. 661, 2017, pp. 357-369.
13. Tam G., Cheng Z.-Q., Lai Y.-K., Langbein F., Liu Y., Marshall D., Martin R., Sun X.-F. and Rosin P. “Registration of 3D point clouds and meshes: A survey from rigid to nonrigid”. IEEE Trans. Vis. Comput. Graph., 2013, 19(7): 1199–1217.
14. Picos K., Diaz-Ramirez V.-H., Kober V., Montemayor A.-S. and Pantrigo J.-J. “Accurate three-dimensional pose recognition from monocular images using template matched filtering”. Optical Engeenering, 2016, 55(6): 0631-02.
15. Vidal-Calleja T. A., Berger C., Solà, J. and Lacroix S. “Large scale multiple robot visual mapping with heterogeneous landmarks in semi-structured terrain”. Robotics and Autonomous Systems, 2011, 59(9): 654-674.
16. Se S., Lowe D. and Little J. “Mobile robot localization and mapping with uncertainty using scaleinvariant visual landmarks”. The international Journal of robotics Research, 2002, 21(8): 735–758.
17. Cheng S., Marras I. and Zafeiriou S. “Active nonrigid ICP algorithm”. In: Proc. of 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015, pp. 1- 8.
18. .Makovetskii A., Voronin S., Kober V. and Tihonkih D. “An efficient point-to-plane registration algorithm for affine transformations”. In: Proc. of SPIE 10396, Applications of Digital Image Processing XL, 2017, pp. 103962J 7.
19. Vokhmintsev A., Timchenko M., Melnikov A., Kozko A., Makovetskii A. “Robot path planning algorithm based on symbolic tags in dynamic environment” In: Proc. of SPIE, Applications of Digital Image Processing XL, 2017, pp. 103962E-8.