Real-time image-based topological localization in large outdoor environments

2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Volumn , Issue , 2005, Pages 3670-3677

  Bradley, David M ^a   Patel, Rashmi ^a   Vandapel, Nicolas ^a   Thayer, Scott M ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT ROBOTS; REAL TIME CONTROL; TOPOLOGY;

ALL TERRAIN VEHICLES; IMAGE FEATURES; LIGHTING CONDITIONS; OFF-LINE ANALYSIS; OUTDOOR ENVIRONMENT; REAL TIME IMAGES; REAL-TIME IMPLEMENTATIONS; TOPOLOGICAL LOCALIZATION;

OFF ROAD VEHICLES;

EID: 79958018643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2005.1545442     Document Type: Conference Paper

References (23)

1. H. Aoki, B. Schiele, and A. Pentland. Reatime personal positioning system for a wearable computer. In International Symposium on Wearable Computers, pages 37-41, 1999.
2. J.L. Crowley, F. Wallner, and B. Schiele. Position estimation using principal components of range data. Robotics and Autonomous Systems, 23(4):267-76, 1999.
3. Cristian Dima, Martial Hebert, and Anthony (Tony) Stentz. Enabling learning from large datasets: Applying active learning to mobile robotics. In Proceedings of the IEEE International Conference on Robotics and Automation, 2004.
4. G. Dudek and D. jugessur. Robust place recognition using local appearance based methods. In Proceedings of the IEEE International Conference on Robotics and Automation, 2000.
5. J-J. Gonzalez-Barbosa and S. Lacroix. Rover localization in natural envrionments by indexing panoramic images. In Proceedings of the IEEE International Conference on Robotics and Automation, 2002.
6. F. Gustafsson and al. Particle filters for positioning, navigation, and tracking. IEEE Transactions on Signal Processing, 50(2):425-37, 2002. (Pubitemid 34291522)
7. J. Kosecka and F. Li. Vision based topological markov localization. In Proceedings of the IEEE International Conference on Robotics and Automation, pages 1481- 1486, 2004.
8. J. Kosecka, L. Zhou, P. Barber, and Z. Duric. Qualitative image based localization in indoors environments. In Proceedings of the IEEE International Conference on Pattern Recognition, 2003.
9. B. Krose, R. Bunschoten, N. Vlassis, and Y. Motomura. Apperance based robot localization. In Proceedings of the International Joint Conferences on Artificial Intelligence, 1999.
10. B. Kuipers and P. Beeson. Bootstrap learning for place recognition. In Proceedings of the National Conference on Artificial Intelligence, pages 174-180, 2002.
11. David G. Lowe. Object recognition from local scale-invariant features. In Proceedings of the International Conference on Computer Vision, pages 1150-1157, 1999.
12. David G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
13. L. Paletta, S. Frintrop, and J. Hertzberg. Robust localization using context in omnidirectional imaging. In Proceedings of the IEEE International Conference on Robotics and Automation, 2001.
14. G. Pass and R. Zabih. Comparing images using joint histograms. ACM Journal of Multimedia Systems, 7(3):234-40, 1999.
15. D. Radhakrishnan and I. Nourbakhsh. Topological robot localization by training a vision-based transition detector. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 468-73, 1999. (Pubitemid 30578103)
16. C. Schmid and K. Mikolajczyk. A performance evaluation of local descriptors. In Proceedings of the International Conference on Pattern Recognition, pages 257-263, 2003.
17. F. Stein and G. Medioni. Map-based localization using the panoramic horizon. IEEE Transactions on Robotics and Automation, 11(6), 1995.
18. Yataka Takeuchi and Martial Hebert. Finding images of landmarks in video sequences. In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 1998.
19. A. Torralba, K. P. Murphy, W. T. Freeman, and M. A. Rubin. Context-based vision system for place and object recognition. In Proceedings of the IEEE International Conference on Computer Vision, 2003.
20. I. Ulrich and I. Nourbakhsh. Apperance-based place recognition for topological localization. In Proceedings of the IEEE Inernational Conference on Robotics and Automation, pages 24-8, 2000.
21. N. Vandapel, R.R. Donamukkala, and M. Hebert. Experimental results in using aerial ladar data for mobile robot navigation. In Proceedings of the International Conference on Field and Service Robotics, 2003.
22. J. Wolf, W. Burgard, and H. Burkhardt. Robust vision-based localization for mobile robots using an image retrieval system based on invariant features. In Proceedings of the IEEE International Conference on Robotics and Automation, 2002.
23. Jiang Y. Zheng and Saburo Tsuji. Panoramic Representation for Route Recognition by a Mobile Robot. International Journal of Computer Vision, 9(1), 1992.