Visual recognition of workspace landmarks for topological navigation

Autonomous Robots

Volumn 7, Issue 2, 1999, Pages 143-158

  Trahanias, Panos E ^a,b   Velissaris, Savvas ^a,b   Orphanoudakis, Stelios C ^a,b  

^a INSTITUTE OF COMPUTER SCIENCE   (Greece)

^b UNIVERSITY OF CRETE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

COLLISION AVOIDANCE; MATHEMATICAL MODELS; MOTION PLANNING; NAVIGATION; PATTERN RECOGNITION; ROBOT LEARNING;

MODEL DRIVEN SCENE SEGREGATION; SALIENCY MAP; TOPOLOGICAL NAVIGATION; VIEW INVARIANT LANDMARK RECOGNITION; VISUAL RECOGNITION; WORKSPACE LANDMARKS;

COMPUTER VISION;

EID: 0033329597     PISSN: 09295593     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008910100968     Document Type: Article

References (36)

1. Aloimonos, Y. 1990. Purposive and qualitative active vision. In DARPA Image Understanding Workshop, pp. 816-828.
2. Andersen, C.S. 1996. A Framework for Control of a Camera Head, Ph.D. Thesis, Laboratory of Image Analysis, Aalborg University, Denmark.
3. Bouguet, J.Y. and Perona, P. 1955. Visual navigation using a single camera. In Proc. Intl. Conf. on Computer Vision, pp. 645-652.
4. Cassinis, R., Grana, D., and Rizzi, A. 1996. Self-localization using an omni-directional image sensor. In 4th Intl. Symposium on Intelligent Robotic Systems, Lisbon, Portugal, pp. 215-222.
5. Clark, J. and Ferrier, N. 1993. Attentive visual servoing. In Active Vision, A.Y.A. Blake (Ed.), Artificial Intelligence, MIT Press: Cambridge, MA, chap. 9, pp. 137-154.
6. Cox, I. and Leonard, J. 1994. Modeling a dynamic environment using a multiple hypothesis approach. Artificial Intell., 66:311-344.
7. Durrant-Whyte, H. and Leonard, J. 1989. Navigation by correlating geometric sensor data. In IEEE Int. Workshop on Intelligent Robots and Systems, IROS-89.
8. Greiner, R. and Isukapalli, R. 1996. Learning to select usefull landmarks. IEEE Trans. Systems, Man, Cybern. - Part B: Cybernetics, 26(3):437-449.
9. Hwang, Y.K. and Ahuja, N. 1992. Gross motion planning - a survey. ACM Computing Surveys, 24(3):221-291.
10. Illingworth, J. and Kittler, J. 1987. The Adaptive Hough Transform, IEEE Trans. Pattern Anal. Mach. Intell., 9(5):690-698.
11. Koch, C. and Ullman, S. 1984. Selecting one among the many: A simple network implementing shifts in selective visual attention. Technical Report, MIT AI Laboratory.
12. Koch, C. and Ullman, S. 1985. Shifts in selective visual attention: Towards the underlying neural circuitry, Hum. Neurobiol., 4:219-227.
13. Kosaka, A. and Pan, J. 1995. Purdue experiments in model-based vision for hallway navigation. In Workshop on Vision for Robots in IROS'95, pp. 87-96.
14. Kuhnert, K.-D. 1990. Fusing dynamic vision and landmark navigation for autonomous driving. In IEEE Int. Workshop on Intelligent Robots and Systems, IROS '90, pp.113-119.
15. Latombe, J.C. 1991. Robot Motion Planning, Kluwer Academic Publishers: Boston, MA.
16. Lazanas, A. and Latombe, J.-C. 1992. Landmark-based robot navigation. In 10th National Conference on Artificial Intelligence, San Jose, CA, pp. 697-702.
17. Leonard, J. and Durrant-Whyte, H. 1991. Mobile robot localization by tracking geometric beacons, IEEE Trans. Robotics and Autom., 7(3):376-382.
18. Leonard, J., Cox, I. and Durrant-Whyte, H. 1990. Dynamic map building for an autonomous mobile robot. In IEEE Int. Workshop on Intelligent Robots and Systems, IROS-90.
19. Levitt, T. and Lawton, D. 1990. Qualitative navigation for mobile robots, Artificial Intell., 44:305-360.
20. Madsen, C.B., Andersen, C.S., and Sorensen, J.S. 1997. A robustness analysis of triangulation based robot self-positioning. In 5th Intl. Symposium on Intelligent Robotic Systems, Stockholm, Sweden, pp. 195-204.
21. Magee, M. and Aggarwal, J.K. 1995. Robot self-location using visual reasoning relative to a single target object, Pattern Recognition, 28(2):125-134.
22. Milanese, R. 1993. Detecting salient regions in an image: From biological evidence to computer implementation. Ph.D. Thesis, Department of Computer Science, University of Geneva, Switzerland.
23. Milanese, R., Wechsler, H., Gil, S., J.-M. Bost and Pun, T. 1994. Integration of bottom-up and top-down cues for visual attention using non-linear relaxation. In IEEE Conf. on Comp. Vision and Pattern Rec.
24. Nasr, H. and Bhanu, B. 1988. Landmark recognition for autonomous mobile robots. In IEEE Intl. Conf. on Robotics and Autom., pp. 1218-1223.
25. Nelson, R.C. 1988. Visual navigation. Ph.D. Dissertation, University of Maryland.
26. Nielsen, J. and Sandini, G. 1994. Learning mobile robot navigation. In IEEE Conf. on Systems, Man and Cybernetics, San Antonio, TX
27. Pahlavan, K., Uhlin, T., and Eklundh, J.O. 1993. Active vision as a methodology. In Active Perception, chap. 1, Y. Aloimonos (Ed.), Lawrence Erlbaum Associates.
28. Rousseuw, P.J. 1987. Least median of squares regression, J. American Stat. Ass. 79:871-880.
29. Schiele, B. and Crowley, J.L. 1996. Where to look next and what to look for. In IEEE/RSJ Intl. Conf. on Intell. Robotics and Syst. (IROS'96), pp. 1249-1255.
30. Shah, S. and Aggarwal, J.K. 1995. Modeling structured environments using robot vision. In 7995 Asian Conf. on Computer Vision.
31. Sugihara, K. 1988. Some location problems for robot navigation using a single camera, Computer Vision, Graphics, Image Proc., 42:112-129.
32. Taylor, C.J. and Kriegman, D.J. 1994. Vision-based motion planning and exploration algorithms for mobile robots. In Workshop on the Algorithmic Foundations of Robotics.
33. Trahanias, P.E., Velissaris, S., and Garavelos, T. 1997. Visual landmark extraction and recognition for autonomous robot navigation. In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, IROS'97, Grenoble, France.
34. Yeh, E. and Kriegman, D.J. 1995. Toward selecting and recognizing natural landmarks. In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS'95), Pittsburgh, PA.
35. Zheng, J.Y. and Tsuji, S. 1989. Spatial representation and analysis of temporal visual events. In IEEE Intl. Conf. on Image Proc., pp. 775-779.
36. Zheng, J.Y., Barth, M., and Tsuji, S. 1991. Autonomous landmark selection for route recognition by a mobile robot. In 1991 IEEE Intl. Conf. on Robotics and Automation, pp. 2004-2009.