Real-time dense appearance-based SLAM for RGB-D sensors

Proceedings of the 2011 Australasian Conference on Robotics and Automation

Volumn , Issue , 2011, Pages

  Audras, Cédric ^a   Comport, Andrew I ^a   Meilland, Maxime ^b   Rives, Patrick ^b  

^a UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

^b INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

3-D ENVIRONMENTS; 3-D TRACKING APPROACH; APPEARANCE BASED; CLOSE RANGE; DEPTH SENSORS; EMBEDDED COMPUTATION; EXPERIMENTAL VALIDATIONS; GENERAL CLASS; GEOMETRIC FEATURE; GEOMETRIC OPTIMIZATION; GROUND TRUTH; INDOOR ENVIRONMENT; LOCALISATION; LOCALISATION AND MAPPING; LOW-COST SENSORS; M-ESTIMATION; ODOMETRY; SELECTION CRITERIA; SPARSE SET; STEREO CAMERAS;

CAMERAS; FEATURE EXTRACTION; PIXELS; SENSORS; THREE DIMENSIONAL;

ROBOTICS;

EID: 84860526514     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. S. Baker and I. Matthews. Equivalence and efficiency of image alignment algorithms. In IEEE Conference on Computer Vision and Pattern Recognition, December 2001.
2. S. Benhimane and E. Malis. Real-time image-based tracking of planes using efficient second-order minimization. In IEEE International Conference on Intelligent Robots Systems, Sendai, Japan, 28 September - 2 October 2004.
3. Jean-Yves Bouguet. Camera calibration toolbox for matlab, July 2010.
4. A. Chiuso, P. Favaro, H. Jin, and S. Soatto. Structure from motion causally integrated over time. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(4):523-535, 2002.
5. A.I. Comport, E. Marchand, and F. Chaumette. Statistically robust 2d visual servoing. IEEE Transactions on Robotics, 22(2):415-421, April 2006.
6. A.I. Comport, E. Marchand, M. Pressigout, and F. Chaumette. Real-time markerless tracking for augmented reality: the virtual visual servoing framework. IEEE Transactions on Visualization and Computer Graphics, 12(4):615-628, July 2006.
7. A.I. Comport, E. Malis, and P. Rives. Accurate quadri-focal tracking for robust 3d visual odometry. In IEEE Int. Conf. on Robotics and Automation, ICRA'07, Rome, Italy, April 2007.
8. A.I. Comport, E. Malis, and P. Rives. Real-time quadrifocal visual odometry. International Journal of Robotics Research, Special issue on Robot Vision, 29(2-3):245-266, 2010.
9. A. J. Davison and D. W. Murray. Simultaneous localisation and map-building using active vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, July 2002.
10. T. Drummond and R. Cipolla. Real-time visual tracking of complex structures. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(7):932-946, July 2002.
11. N. Engelhard, F. Endres, J. Hess, J. Sturm, and W. Burgard. Real-time 3d visual slam with a hand-held rgb-d camera. In RGB-D Workshop on 3D Perception in Robotics, Västerås, Sweden, April 8 2011.
12. B. Freedman, A. bd Shpunt, M. Machline, and Y. Arieli. Depth mapping using projected patterns. Number 20100118123 in 1. (Binyamina, IL), (Cambridge, MA, US), (Ashdod, IL), (Jerusalem, IL), May 2010.
13. G. Gallegos, M. Meilland, A.I. Comport, and P. Rives. Appearance-based slam relying on a hybrid laser/omnidirectional sensor. In IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2010.
14. G. Hager and P. Belhumeur. Efficient region tracking with parametric models of geometry and illumination. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(10):1025-1039, October 1998.
15. C. Harris and M. Stephens. A combined corner and edge detector. In 4th Alvey Vision Conference, pages 189-192, Manchester University, England, September 1988.
16. R. Hartley and A. Zisserman. Multiple View Geometry in computer vision. Cambridge University Press, 2001. Book.
17. P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox. Rgb-d mapping: Using depth cameras for dense 3d modeling of indoor environments. In 12th International Symposium on Experimental Robotics, Delhi, India, December 18-21 2010.
18. P.J. Huber. Robust statistical procedures. SIAM Review, second edition, 1996.
19. M. Karg, K.M. Wurm, C. Stachniss, K. Dietmayer, and W. Burgard. Consistent mapping of multistory buildings by introducing global constraints to graph-based slam. In IEEE International Conference on Robotics and Automation, Anchorage, Alaska, May 3-8 2010.
20. M. Meilland, A.I. Comport, and P. Rives. A spherical robot-centered representation for urban navigation. In IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, October 2010.
21. E. Mouragnon, M. Lhuillier, M. Dhome, F. Dekeyser, and P. Sayd. Real-time localization and 3d reconstruction. In IEEE Conference of Vision and Pattern Recognition, New-York, USA, June 2006.
22. R. A. Newcombe and A. J. Davison. Live dense reconstruction with a single moving camera. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1498-1505, June 2010.
23. D. Nistér, O. Naroditsky, and J. Bergen. Visual odometry. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, volume 1, pages 652-659, CVPR 2004, July 2004.
24. B. Pitzer, S. Kammel, C. DuHadway, and J. Becker. Automatic reconstruction of textured 3d models. In ICRA'10, pages 3486-3493, 2010.
25. H. Qi-Xing and D. Anguelov. High quality pose estimation by aligning multiple scans to a latent map. In Robotics and Automation (ICRA), 2010 IEEE International Conference on, pages 1353 -1360, May 2010.
26. J. Sturm, K. Konolige, C. Stachniss, and W. Burgard. 3d pose estimation, tracking and model learning of articulated objects from dense depth video using projected texture stereo. In RGB-D: Advanced Reasoning with Depth Cameras Workshop, RSS, Zaragoza, Spain, June 27 2010.
27. T.M. Tykkala and A.I Comport. A dense structure model for image based stereo slam. In IEEE International Conference on Robotics and Automation, Shanghai, China, May 9-13 2011.
28. T.M. Tykkälä and A.I Comport. Direct Iterative Closest Point for Real-time Visual Odometry. In The Second international Workshop on Computer Vision in Vehicle Technology: From Earth to Mars in conjunction with the International Conference on Computer Vision, Barcelona, Spain, November 6-13 2011.