Active single landmark based global localization of autonomous mobile robots

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4291 LNCS - I, Issue , 2006, Pages 202-211

  Bais, Abdul ^a,b   Sablatnig, Robert ^a   Gu, Jason ^b   Mahlknecht, Stefan ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b DALHOUSIE UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FEATURE EXTRACTION; SENSORS; STEREO VISION; TRIANGULATION;

GLOBAL LOCALIZATION; LANDMARKS; NAVIGATIONAL AIDS; ROBOT ORIENTATION;

MOBILE ROBOTS;

EID: 33845401772     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11919476_21     Document Type: Conference Paper

References (20)

1. Chung, H., Ojeda, L., Borenstein, J.: Accurate mobile robot dead-reckoning with a precision-calibrated fiber-optic gyroscope. IEEE Transactions on Robotics and Automation 17 (2001) 80 - 84
2. Komoriya, K., Oyama, E.: Position estimation of a mobile robot using optical fiber gyroscope (ofg). In: International Conference on Intelligent Robots and Systems (IROS'94), Munich, Germany (1994) 143-149
3. Borenstein, J.: Experimental results from internal odometry error correction with the omnimate mobile robot. IEEE Transactions on Robotics and Automation 14 (1998) 963 - 969
4. Arsenio, A., Ribeiro, M.: Absolute localization of mobile robots using natural landmarks. In: Proceedings IEEE International Conference on Electronics, Circuits and Systems. Volume 2. (1998) 483 - 486
5. Sugihara, K.: Some location problems for robot navigation using a single camera. Computer Vision, Graphics, and Image Processing 42 (1988) 112-129
6. Yuen, D.C.K., MacDonald, B.A.: Vision-based localization algorithm based on landmark matching, triangulation, reconstruction, and comparison. IEEE Transactions on Robotics 21 (2005) 217 - 226
7. Bais, A., Sablatnig, R.: Landmark based global self-localization of mobile soccer robots. In Narayanan, P.J., Nayar, S.K., Shum, H.Y., eds.: Computer Vision ACCV 2006: 7th Asian Conference on Computer Vision. Volume 3852 of Lecture Notes in Computer Science., Hyderabad, India, Springer-Verlag GmbH (2006) 842 - 851
8. Steinbauer, G., Bischof, H.: Illumination insensitive robot self-localization using panoramic eigenspaces. In: RoboCup 2004. Volume 3276 of LNAI. (2005) 84 - 96
9. Ji, J., Indiveri, G., Ploeger, P., Bredenfeld, A.: An omni-vision based self-localization method for soccer robot. In: IEEE symposium on Intelligent Vehicles (IV'03), Columbus, Ohio, USA (2003)
10. Bandlow, T., Klupsch, M., Hanek, R., Schmitt, T.: Fast image segmentation, object recognition and localization in a robocup scenario. In: RoboCup-99: Robot Soccer World Cup III. (1999) 174-185
11. Choi, W., Ryu, C., Kim, H.: Navigation of a mobile robot using mono-vision and mono-audition. In: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC '99). Volume 4. (1999) 686-691
12. Nickerson, S.B., Jasiobedzki, P., Wilkes, D., Jenkin, M., Milios, E., Tsotsos, J., Jepson, A., Bains, O.N.: The ark project: Autonomous mobile robots for known industrial environments. Robotics and Autonomous Systems 25 (1998) 83-104
13. Weber, J., Franken, L., Jorg, K.W., Puttkamer, E.: Reference scan matching for global self-localization. Robotics and Autonomous Systems 40 (2002) 99-110
14. Clerentin, A., Delahoche, L., Pegard, C., Brassart, E.: A localization method based on two omnidirectional perception systems cooperation. In: Proceedings of the IEEE International Conference on Robotics and Automation. (2000) 1219-1224
15. Bais, A., Sablatnig, R., Novak, G.: Line-based landmark recognition for self-localization of soccer robots. In: IEEE International Conference on Emerging Technologies (ICET '05), Islamabad, Pakistan (2005) 132-137
16. Novak, G., Mahlknecht, S.: TINYPHOON a tiny autonomous mobile robot. In: IEEE International Symposium on Industrial Electronics (ISIE' 05). (2005) 1533-1538
17. Borenstein, J., Everett, H.R., Feng, L.: Navigating Mobile Robots: Systems and Techniques. A. K. Peters, Ltd. (1996)
18. Trucco, E., Verri, A.: Introductory Techniques for 3-D Computer Vision. Prentice Hall, Upper Saddle River, NJ, USA (1998)
19. Sutherland, K.T., B.Thompson, W.: Inexact navigation. In: IEEE International Conference on Robotics and Automation (ICRA' 93). (1993) 1-7
20. Clarke, J.C.: Modelling uncertainty: A primer. Technical Report 2161/98, University of Oxford, Dept. Engineering Science (1998)