Vision-based fast and reactive Monte-Carlo localization

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 1, Issue , 2003, Pages 856-861

  Röfer, Thomas ^a   Jüngel, Matthias ^b  

^a UNIVERSITY OF BREMEN   (Germany)

^b HUMBOLDT UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; DEGREES OF FREEDOM (MECHANICS); FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; IMAGE SENSORS; MOBILE ROBOTS; MONTE CARLO METHODS; OBJECT RECOGNITION;

COLOR SEGMENTATION; MONTE CARLO LOCALIZATION; VISION-BASED SELF-LOCALIZATION;

COMPUTER VISION;

EID: 0344013516     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. J. Bruce, T. Balch, and M. Veloso, "Fast and inexpensive color image segmentation for interactive robots," in Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '00), 2000, vol. 3, pp. 2061-2066.
2. F. K. H. Quek, "An algorithm for the rapid computation of boundaries of run length encoded regions," Pattern Recognition Journal, vol. 33, pp. 1637-1649, 2000.
3. Robert Hanek, Thorsten Schmitt, Sebastian Buck, and Michael Beetz, "Fast image-based object localization in natural scenes," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2002, Lausanne, 2002.
4. M. Jamzad, B. Sadjad, V. Mirrokni, M. Kazemi, H. Chitsaz, A. Heydarnoori, M. Hajiaghai, and E. Chiniforooshan, "A fast vision system for middle size robots in robocup," in 5th International Workshop on RoboCup 2001 (Robot World Cup Soccer Games and Conferences). 2002, number 2377 in Lecture Notes in Computer Science, pp. 71-80, Springer.
5. D. Fox, W. Burgard, F. Dellaert, and S. Thrun, "Monte Carlo localization: Efficient position estimation for mobile robots," in Proc. of the National Conference on Artificial Intelligence, 1999.
6. F. Dellaert, W. Burgard, D. Fox, and S. Thrun, "Using the condensation algorithm for robust, vision-based mobile robot localization," in Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 1999.
7. J. Wolf, W. Burgard, and H. Burkhardt, "Robust vision-based localization for mobile robots using an image retrieval system based on invariant features," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2002.
8. S. Lenser and M. Veloso, "Sensor resetting localization for poorly modeled mobile robots," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2000.
9. S. Thrun, D. Fox, and W. Burgard, "Monte carlo localization with mixture proposal distribution," in Proc. of the National Conference on Artificial Intelligence, 2000, pp. 859-865, AAAI.
10. T. Röfer, "Strategies for using a simulation in the development of the Bremen Autonomous Wheelchair," in Simulation-Past, Present and Future, R. Zobel and D. Moeller, Eds. 1998, pp. 460-464, Society for Computer Simulation International.
11. T. Röfer, "An architecture for a national robocup team," in RoboCup 2002. 2003, Lecture Notes in Artificial Intelligence, Springer, to appear (already published in RoboCup 2002: Robot Soccer World Cup VI Pre-Proceedings, 388-395).