Short and long-range visual navigation using warped panoramic images

Robotics and Autonomous Systems

Volumn 55, Issue 9, 2007, Pages 675-684

  Labrosse, Frédéric ^a  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

Appearance based vision; Mobile robotics; Navigation; Omni directional

Indexed keywords

COMPUTER GRAPHICS; IMAGE ANALYSIS; INTELLIGENT ROBOTS; NAVIGATION SYSTEMS;

APPEARANCE BASED VISION; LOCAL MOTION PARAMETERS; MOBILE ROBOTICS;

VISUAL COMMUNICATION;

EID: 34548050860     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.robot.2007.05.004     Document Type: Article

References (28)

1. K. Barnard, B. Funt, Experiments in sensor sharpening for color constancy, in: Proceedings of the IS&T/SID Sixth Color Imaging Conference: Color Science, Systems and Applications, 1998
2. D. Binding, F. Labrosse, Visual local navigation using warped panoramic images, in: Proceedings of Towards Autonomous Robotic Systems. University of Surrey, Guildford, UK, 2006, pp. 19-26
3. D.L. Bisset, M.D. Aldred, S.J. Wiseman, Light detection apparatus, United States Patent US 6,590,222 B1, also UK Patent GB 2 344 884 A, 2000, 2003
4. Cartwright B.A., and Collett T.S. Landmark learning in bees: Experiments and models. Journal of Comparative Physiology 151 (1983) 521-543
5. Cartwright B.A., and Collett T.S. Landmark maps for honeybees. Biological Cybernetics 57 1-2 (1987) 85-93
6. G.D. Finlayson, M.S. Drew, B.V. Funt, Diagonal transforms suffice for color constancy, in: Proceedings of the International Conference on Computer Vision, 1993, pp. 164-171
7. Franz M.O., Schölkopf B., Mallot H.A., and Bülthoff H.H. Where did I take that snapshot? Scene-based homing by image matching. Biological Cybernetics 79 (1998) 191-202
8. B.V. Funt, M.S. Drew, M. Brockington, Recovering shading from color images, in: Proceedings of the European Conference on Computer Vision, 1992, pp. 124-132
9. J.-J. Gonzales-Barbosa, S. Lacroix, Rover localization in natural environments by indexing panoramic images, in: Proceedings of the IEEE International Conference on Robotics and Automation, Washington, USA, 2002, pp. 1365-1370
10. S. Gourichon, Utilisation d'un compas visuel pour la navigation d'un robot mobile, Ph.D. Thesis, Université Paris VI, Paris, France, 2004
11. Heckbert P.S. Bilinear Coons patch image warping. Graphics Gems vol. IV (1994), Academic Press 438-446
12. Labrosse F. The visual compass: Performance and limitations of an appearance-based method. Journal of Field Robotics 23 10 (2006) 913-941
13. Lowe D.G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60 2 (2004) 91-110
14. H.-m. Lu, Y. Fainman, R. Hecht-Nielsen, Image manifolds, in: Proceedings of SPIE; Applications of Artificial Neural Networks in Image Processing III, vol. 3307, San Jose, CA, USA, 1998, pp. 52-63
15. Möller R., Maris M., and Lambrinos D. A neural model of landmark navigation in insects. Neurocomputing 26-27 (1999) 801-808
16. M. Neal, F. Labrosse, Rotation-invariant appearance based maps for robot navigation using an artificial immune network algorithm, in: Proceedings of the Congress on Evolutionary Computation, vol. 1, Portland, Oregon, USA, 2004, pp. 863-870
17. U. Nehmzow, H. Vieira Neto, Visual attention and novelty detection: Experiments with automatic scale selection, in: Proceedings of Towards Autonomous Robotic Systems, University of Surrey, Guildford, UK, 2006, pp. 139-146
18. Nistér D., Naroditsky O., and Bergen J. Visual odometry for ground vehicle applications. Journal of Field Robotics 23 1 (2006)
19. T. Röfer, Controlling a wheelchair with image-based homing, in: Proceedings of the AISB Symposium on Spatial Reasoning in Mobile Robots and Animals, Manchester University, UK, 1997
20. Se S., Lowe D., and Little J. Mobile robot localization and mapping with uncertainty using scale-invariant visual landmarks. International Journal of Robotics Research 21 8 (2002) 735-758
21. Shum H.-Y., Wang L., Chai J.-X., and Tong X. Rendering by manifold hopping. International Journal of Computer Vision 50 2 (2002) 185-201
22. Stürzl W., and Mallot H.L. Efficient visual homing based on Fourier transformed panoramic images. Journal of Robotics and Autonomous Systems 54 4 (2006) 300-313
23. Tenenbaum J.B. Mapping a manifold of perceptual observations. Advances in Neural Information Processing Systems 10 (1998)
24. Ullman S., and Basri R. Recognition by linear combination of models. IEEE Transactions on Pattern Analysis and Machine Intelligence 13 10 (1991) 992-1006
25. A. Vardy, F. Oppacher, Low-level visual homing, in: Advances in Artificial Life: Proceedings of the European Conference on Artificial Life, 2003
26. R.F. Vassallo, J. Santos-Victor, H.J. Schneebeli, Using motor representations for topological mapping and navigation, in: Proceedings of the International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, 2002, pp. 478-483
27. A. Woodland, F. Labrosse, On the separation of luminance from colour in images, in: Proceedings of the International Conference on Vision, Video, and Graphics, University of Edinburgh, UK, 2005, pp. 29-36
28. Zeil J., Hofmann M.I., and Chahl J.S. Catchment areas of panoramic snapshots in outdoor scenes. Journal of the Optical Society of America A 20 3 (2003) 450-469