Robust view matching-based Markov localization in outdoor environments

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Volumn , Issue , 2008, Pages 2970-2976

  Miura, Jun ^a   Yamamoto, Koshiro ^a  

^a TOYOHASHI UNIVERSITY OF TECHNOLOGY   (Japan)

Author keywords

Markov localization; Outdoor navigation; Support vector machine; View based localization

Indexed keywords

LOCAL FEATURE; LOCALIZATION METHOD; LOCALIZATION PERFORMANCE; MARKOV LOCALIZATION; MARKOV LOCALIZATIONS; OBJECT MODEL; OUTDOOR ENVIRONMENT; OUTDOOR NAVIGATION; TWO STAGE; URBAN SCENES; VIEW-BASED; VIEW-BASED LOCALIZATION; VISUAL FEATURE;

IMAGE RETRIEVAL; INTELLIGENT ROBOTS; NAVIGATION; TIME VARYING SYSTEMS;

SUPPORT VECTOR MACHINES;

EID: 69549108961     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2008.4650607     Document Type: Conference Paper

References (17)

1. E. Batschelet. Circular Statistics in Biology. Academic Press Inc., London, 1981.
2. D.M. Bradley, R. Patel, N. Vandapel, and S.M. Thayer. Real-Time Image-Based Topological Localization in Large Outdoor Environments. In Proceedings of the 2005 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 3062-3069, 2005.
3. M. Castelnovi, A. Sgorbissa, and R. Zaccaria. Markov-Localization through Color Features Comparison. In Proceedings of 2004 IEEE Int. Symp. on Intelligent Control, pp. 437-442, 2004. (Pubitemid 40788465)
4. M. Cummins and P. Newman. Probabilistic Appearance Based Navigation and Loop Closing. In Proceedings of 2007 IEEE Int. Conf. on Robotics and Automation, pp. 2042-2048, 2007.
5. D. Fox, W. Burgard, and S. Thrun. Active Markov Localization for Mobile Robots. Robotics and Autonomous Systems, Vol.25, No.3-4, pp. 195-207, 1998. (Pubitemid 128401275)
6. T. Joachims. Making Large-Scale SVM Learning Practical. In B. Schölkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning. The MIT Press, 1999.
7. H. Katsura, J. Miura, M. Hild, and Y. Shirai. A View-Based Outdoor Navigation Using Object Recognition Robust to Changes of Weather and Seasons. In Proceedings of 2003 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 2974-2979, 2003.
8. J. Klippenstein and H. Zhang. Quantitative Evaluation of Feature Extractors for Visual SLAM. In 4th Canadian Conf. on Computer and Robot Vision (CRV '07), pp. 157-164, 2007. (Pubitemid 47432466)
9. D.G. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. Int. J. of Computer Vision, Vol.60, No.2, pp. 91-110, 2004.
10. E. Menegatti, M. Zoccarato, E. Pagello, and H. Ishiguro. Image-Based Monte Carlo Localisation with Omnidirectional Images. Robotics and Autonomous Systems, Vol.48, No.1, pp. 17-30, 2004.
11. H. Morita, M. Hild, J. Miura, and Y. Shirai. View-Based Localization in Outdoor Environments Based on Support Vector Learning. In Proceedings of 2005 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 3083-3088, 2005.
12. H. Morita, M. Hild, J. Miura, and Y. Shirai. Panoramic View-Based Navigation in Outdoor Environments Based on Support Vector Learning. In Proceedings of 2006 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 2302-2307, 2006. (Pubitemid 46928237)
13. F.T. Ramos, J. Nieto, and H.F. Durrant-Whyte. Recognising and Modeling Landmarks to Close Loops in Outdoor SLAM. In Proceedings of 2007 IEEE Int. Conf. on Robotics and Automation, pp. 2036-2041, 2007. (Pubitemid 350140479)
14. C. Slipa-Anan and R. Hartley. Visual Localization and Loop-Back Detection with a High Resolution Omnidirectional Camera. In Proceedings of the 6th Workshop on Omnidirectional Vision, Camera Networks and Non-Classical Cameras (OMNIVIS 2005), 2005.
15. S. Thrun, W. Burgard, and D. Fox. Probabilistic Robotics. The MIT Press, 2005.
16. C. Valgren and A. Lilienthal. SIFT, SURF and Seasons: Long-term Outdoor Localization Using Local Features. In Proceedings of European Conf. on Mobile Robots, pp. 253-258, 2007.
17. J. Wolf, W. Burgard, and H. Burkhardt. Robust Vision-Based Localization by Combining an Image Retrieval System with Monte Carlo Localization. IEEE Transactions on Robotics, Vol.21, No.2, pp. 208-216, 2005. (Pubitemid 40608451)