Online and incremental appearance-based slam in highly dynamic environments

International Journal of Robotics Research

Volumn 30, Issue 1, 2011, Pages 33-55

  Kawewong, Aram ^a   Tongprasit, Noppharit ^a   Tangruamsub, Sirinart ^a   Hasegawa, Osamu ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Appearance based localization and mapping; invariant robust feature; topological SLAM

Indexed keywords

APPEARANCE BASED; APPEARANCE-BASED LOCALIZATION AND MAPPING; AT PRECISION; COMPUTATION TIME; DATA SETS; DYNAMIC CHANGES; DYNAMIC ENVIRONMENTS; DYNAMIC SCENES; HIGH RATE; INVARIANT ROBUST FEATURE; KIDNAPPED ROBOT PROBLEMS; LONG TERM; NAVIGATION METHODS; NOVEL METHODS; OFF-LINE PROCESS; OMNIDIRECTIONAL IMAGE; PERCEPTUAL ALIASING; REAL-TIME APPLICATION; RECALL RATE; TOPOLOGICAL SLAM;

MAPPING; TOPOLOGY;

STATISTICAL TESTS;

EID: 78651488732     PISSN: 02783649     EISSN: 17413176     Source Type: Journal    
DOI: 10.1177/0278364910371855     Document Type: Article

References (31)

1. Angeli, A., Filliat, D., Doncieux, S. and Meyer, J. (2008). Fast and incremental method for loop-closure detection using bags of visual words. IEEE Transactions on Robotics, 24 (2). 1027-1037.
2. Bay, H., Tuytelaars, T. and Gool, L.V. (2006). SURF: Speeded Up Robust Features. Proceedings of the European Conference on Computer Vision (ECCV).
3. Bowling, M., Wilkinson, D., Ghodsi, A. and Milstein, A. (2005). Subjective localization with action respecting embedding. Proceedings International Symposium on Robotics Research (ISRR).
4. Chen, C. and Wang, H. (2006). Appearance-based topological bayesian inference for loop-closing detection in a cross country environment. The International Journal of Robotics Research, 25 (10). 953-983.
5. Cummins, M. and Newman, P. (2008 a). FAB-MAP: probabilistic localization and mapping in the space of appearance. The International Journal of Robotics Research, 27 (6). 647-665.
6. Cummins, M. and Newman, P. (2008 b). Accelerated appearance-only SLAM. Proceedings IEEE International Conference on Robotics and Automation (ICRA).
7. Cummins, M. and Newman, P. (2009). Highly scalable appearance-only SLAM - FAB-MAP 2.0. Proceedings of Robotics: Science and Systems (RSS).
8. Filliat, D. and Meyer, J.A. (2003). Map-based navigation in mobile robots-I. A review of localisation strategies. Cognitive Systems Research, 4 (4). 243-282.
9. Filliat, D. (2007). A visual bag of words method for interactive qualitative localization and mapping. Proceedings IEEE International Conference on Robotics and Automation (ICRA).
10. Goedeme, T., Nuttin, M., Tuytelaars, T. and Gool, L.V. (2007). Omnidirectional vision based topological navigation. International Journal of Computer Vision, 74 (3). 219-236.
11. Ho, K. and Newman, P. (2007). Detecting loop closure with scene sequences. International Journal on Computer Vision, 74 (3). 261-286.
12. Kawewong, A., Tangruamsub, S. and Hasegawa, O. (2009). Wide-baseline visible features for highly dynamic scene recognition. Proceedings of the International Conference on Computer Analysis of Images and Patterns (CAIP).
13. Kosecka, J., Li, F. and Yang, X. (2005). Global localization and relative positioning based on scale-invariant keypoints. Robotics and Autonomous Systems, 52 (1). 27-38.
14. Krose, B.J.A., Vlassis, N.A., Bunschoten, R. and Motomura, Y. (2001). A probabilistic model for appearance-based robot localization. Image and Vision Computing, 19 (6). 381-391.
15. Lamon, P., Nourbakhsh, I., Jensen, B. and Siegwart, R. (2001). Deriving and matching image fingerprint sequences for mobile robot localization. Proceedings IEEE International Conference on Robotics and Automation (ICRA).
16. Levin, A. and Szeliski, R. (2004). Visual odometry and map correlation. Proceedings IEEE International Conference on Computer Vision and Pattern Recognition (CVPR).
17. Li, F. and Kosecka, J. (2006). Probabilistic location recognition using reduced feature set. Proceedings of the International Conference on Robotics and Automation (ICRA).
18. Lowe, D. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60 (2). 91-110.
19. Meyer, J.A. and Filliat, D. (2003). Map-based navigation in mobile robots-III. A review of map-learning and path-planning strategies. Cognitive Systems Research, 4 (4). 283-317. (Pubitemid 38647184)
20. Newman, P., Cole, D. and Ho, K. (2006). Outdoor SLAM using visual appearance and laser ranging. Proceedings IEEE International Conference on Robotics and Automation (ICRA).
21. Nister, D. (2004) An efficient solution to the five-point relative pose problem. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26 (6). 756-777.
22. Nister, D. and Stewenius, H. (2006) Scalable recognition with a vocabulary tree. Proceedings IEEE International Conference on Computer Vision and Pattern Recognition (CVPR).
23. Schindler, G., Brown, M. and Szeliski, R. (2007). City-scale location recognition. Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
24. Se, S., Lowe, D. and Little, J. (2001). Vision-based mobile robot localization and mapping using scale-invariant features. Proceedings IEEE International Conference on Robotics and Automation (ICRA).
25. Silpa-Anan, C. and Hartley, R. (2004). Localisation using an Image-map. Proceedings of the Australian Conference on Robotics and Automation.
26. Sivic, J. and Zisserman, A. (2003). Video Google: a text retrieval approach to object matching in videos. Proceedings IEEE International Conference on Computer Vision (ICCV).
27. Torralba, A., Murphy, K.P., Freeman, W.T. and Rubin, M.A. (2003). Context-based vision system for place and object recognition. Proceedings IEEE International Conference on Computer Vision (ICCV).
28. Ulrich, I. and Nourbakhsh, I. (2003). Appearance-based place recognition for topological localization. Proceedings IEEE International Conference on Robotics and Automation (ICRA).
29. Wang, J., Zha, H. and Cipolla, R. (2006). Coarse-to-fine vision-based localization by indexing scale-invariant features. IEEE Transactions on System, Man, and Cybernetics, 36 (2). 413-422.
30. Wolf, J., Burgard, W. and Burkhardt, H. (2005). Robust vision-based localization by combining an image-retrieval system with Monte Carlo localization. IEEE Transactions on Robotics, 21 (2). 208-216.
31. Zivkovic, Z., Bakker, B. and Krose, B. (2005). Hierarchical Map Building Using Visual Landmarks and Geometric Constraints. Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).