Fast vision-based localization for outdoor robots using a combination of global image features

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 6, Issue PART 1, 2007, Pages 119-124

  Weiss, Christian ^a   Masselli, Andreas ^a   Zell, Andreas ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

Integral invariants; Outdoor localization; SIFT; WGOH

Indexed keywords

ROBOTS;

GRADIENT ORIENTATIONS; IMAGE SIMILARITY; INTEGRAL INVARIANT; LOCALIZATION METHOD; OUTDOOR LOCALIZATIONS; SIFT; VISION BASED LOCALIZATION; WGOH;

VECTORS;

EID: 79960933296     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20070903-3-fr-2921.00023     Document Type: Conference Paper

References (15)

1. Artac, M., M. Jogan and A. Leonardis (2002). Mobile robot localization using an incremental eigenspace model. In: Proc. IEEE/RSJ Intl. Conf. on Robotics and Automation (ICRA 2002). Washington, D. C. pp. 1025-1030. (Pubitemid 34916726)
2. Artač, M. and A. Leonardis (2004). Outdoor mobile robot localisation using global and local features. In: Proc. 9th Computer Vision Winter Workshop (CVWW). Piran. pp. 175-184.
3. Barfoot, T.D. (2005). Online visual motion estimation using fastslam with sift features. In: Proc. IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2005). Edmonton, Canada. pp. 3076 - 3082.
4. Bradley, D.M., R. Patel, N. Vandapel and S.M. Thayer (2005). Real-time image-based topo-logical localization in large outdoor environments. In: Proc. IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2005). Edmonton, Canada. pp. 3062 - 3069.
5. Jogan, M., A. Leonardis, H. Wildenauer and H. Bischof (2002). Mobile robot localization under varying illumination. In: Proc. Intl. Conf. on Pattern Recognition (ICPR02). Quebec, Canada. pp. 741-744. (Pubitemid 44844844)
6. Jogan, M., M. Artac, D. Skocaj and A. Leonardis (2003). A framework for robust and incremental self-localization. In: Proc. 3rd Intl. Conf. on Computer Vision Systems (ICVS 2003). Graz, Austria. pp. 460-469.
7. Kosecka, J. and F. Li (2004). Vision based topo-logical markov localization. In: Proc. Intl. Conf. on Robotics and Automation (ICRA). New Orleans, LA, USA. pp. 1481-1486.
8. Lowe, D. (2004). Distinctive image features from scale-invariant keypoints. Int. Journal of Computer Vision 60(2), 91-110.
9. Se, S., D. Lowe and J. Little (2001). Local and global localization for mobile robots using visual landmarks. In: Proc. IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS). Maui, Hawaii. pp. 414 - 420. (Pubitemid 34683685)
10. Siggelkow, S. (2002). Feature Histograms for Content-Based Image Retrieval. PhD thesis. Institute for Computer Science, University of Freiburg. Freiburg, Germany.
11. Tamimi, H. (2006). Vision-based Features for Mobile Robot Localization. PhD thesis. University of Tübingen. Tübingen, Germany.
12. Tamimi, H., A. Halawani, H. Burkhardt and A. Zell (2006). Appearance-based localization of mobile robots using local integral invariants. In: Proc. 9th Intl. Conf. on Intelligent Autonomous Systems (IAS-9). Tokyo, Japan. pp. 181-188.
13. Tamimi, H. and A. Zell (2005). Global robot localization using iterative scale invariant feature transform. In: 36th Intl. Symposium on Robotics (ISR 2005). Tokyo, Japan.
14. Thrun, S., D. Fox, W. Burgard and F. Dellaert (2000). Robust monte carlo localization for mobile robots. Artificial Intelligence 128(1-2), 99-141.
15. Wolf, J., W. Burgard and H. Burkhardt (2005). Robust vision-based localization by combining an image retrieval system with monte carlo localization. IEEE Transactions on Robotics 21(2), 208-216. (Pubitemid 40608451)