Monocular visual odometry for robot localization in LNG pipes

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2011, Pages 3111-3116

  Hansen, Peter ^a   Alismail, Hatem ^b   Rander, Peter ^b   Browning, Brett ^b  

^a CARNEGIE MELLON UNIVERSITY   (Qatar)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CRAWLING ROBOTS; HIGH RESOLUTION; IMAGE SEQUENCE; INTERNAL SURFACES; LIQUIFIED NATURAL GAS; MAGNETIC FLUX LEAKAGE; PROCESSING FACILITIES; REGULAR INSPECTIONS; ROBOT LOCALIZATION; SCENE STRUCTURE; VISUAL ODOMETRY; VISUAL PERCEPTION;

ALGORITHMS; ESTIMATION; MAGNETIC LEAKAGE; ROBOT APPLICATIONS; ROBOTS; SENSORS; ULTRASONIC APPLICATIONS; VISION;

ROBOTICS;

EID: 84871685039     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2011.5979681     Document Type: Conference Paper

References (20)

1. J. Nestleroth and T. Bubenik, "Magnetic flux leakage (MFL) technology for natural gas pipeline inspection," Battelle, Report Number GRI-00/0180 to the Gas Research Institute, Tech. Rep., 1999.
2. H. Schempf, E. Mutschler, A. Gavaert, G. Skoptsov, and W. Crowley, "Visual and nondestructive evaluation inspection of live gas mains using the explorer family of pipe robots," JFR, vol. 27, pp. 217-249, 2010.
3. D. Nistér, O. Naroditsky, and J. Bergend, "Visual odometry for ground vehicle applications," JFR, vol. 23, no. 1, pp. 3-20, January 2006.
4. M. Maimone, Y. Cheng, and L. Matthies, "Two years of visual odometry on the mars exploration rovers," JFR, vol. 24, no. 3, pp. 169-186, March 2007.
5. A. Levin and R. Szeliski, "Visual odometry and map correlation," in CVPR, June 2004, pp. 611-618.
6. P. Hansen, H. Alismail, P. Rander, and B. Browning, "Towards a visual perception system for pipe inspection: Monocular visual odometry," Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, Tech. Rep. CMU-RI-TR-10-22 / CMU-CS-QTR-104, July 2010.
7. R. Szeliski, "Image alignment and stitching: A tutorial," in Foundations and Trends in Computer Graphics and Vision, 2006.
8. A. Ardeshir, 2-D and 3-D Image Registration. Wiley & Sons, 2005.
9. J. Bergen, P. Anandan, K. Hanna, and R. Hingorani, "Hierarchical model-based motion estimation," in ECCV'92, 1992, pp. 237-252.
10. J.-P. Tardif, Y. Pavlidis, and K. Daniilidis, "Monocular visual odometry in urban environments using an omnidirectional camera," in Proceedings IROS, 2008, pp. 2531-2538.
11. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. Cambridge University Press, 2003.
12. C. Harris and M. Stephens, "A combined corner and edge detector," in Proceedings Fourth Alvey Vision Conference, 1988, pp. 147-151.
13. D. Lowe, "Distinctive image features from scale-invariant keypoints," IJCV, vol. 60, no. 2, pp. 91-110, 2004.
14. E. Mouragnon, M. Lhuillier, M. Dhome, F. Dekeyser, and P. Sayd, "Real time localization and 3D reconstruction," in CVPR, 2006.
15. M. A. Fischler and R. C. Bolles, "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography," Comms. of the ACM, pp. 381-395, 1981.
16. D. Nistér, "An efficient solution to the five-point relative pose problem," PAMI, vol. 26, no. 6, pp. 756-770, June 2004.
17. J. Gluckman and S. Nayar, "Ego-motion and omnidirectional cameras," in CVPR, 1998, pp. 999-1005.
18. K. Daniilidis and H.-H. Nagel, "The coupling of rotation and translation in motion estimation of planar surfaces," in CVPR, June 1993, pp. 188-193.
19. D. Nistér, "Reconstruction from uncalibrated sequences with a hierarchy of trifocal tensors," in ECCV, 2000, pp. 649-663.
20. J. Neumann, C. Fermüller, and Y. Aloimonos, "Eyes form eyes: New cameras for structure from motion," in Proceedings Workshop on Omnidirectional Vision (OMNIVIS), 2002.