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Warianty tytułu
Języki publikacji
Abstrakty
Research on multi-robot systems often demands the use of a large population of small, cheap, and low capability mobile robots. Many non-trivial behaviors demand these robots to be localized in real-time. This paper addresses the problem of absolute localization of such low capability robots using onboard sensors and local computation. The approach is based on the use of a pair of scan lines perceived by an onboard B&W camera to detect and decode artificial visual landmarks deployed along the environment. Each landmark consists on a dual-layer barcode which can encode its pose with respect to a global coordinate frame. Thus, the robot is not required to store a map of the landmark locations onboard. The method is based on an Extended Kalman Filter (EKF) fusing odometry readings with absolute pose estimates obtained from the camera. Experimental results using an e-puck robot with 8 KB of RAM and a 16 MIPs processor are presented, comparing the location estimates with both ground truth and odometry.
Rocznik
Tom
Strony
28--34
Opis fizyczny
Bibliogr. 13 poz., rys.
Twórcy
autor
- Institute for Systems and Robotics, Instituto Superior Técnico, TULisbon, Portugal
autor
- Institute for Systems and Robotics, Instituto Superior Técnico, TULisbon, Portugal
Bibliografia
- [1] J. N. Pereira, A. Christensen, P. Silva, and P. Lima,“Coordination through institutional roles in robot collectives”. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, van der Hoek, Kaminka, Lespérance, Luck and Sen (eds.), May 2010, pp. 1507–1508.
- [2] L. Bayindir and E. Sahin, “A review of studies in swarm robotics”, Turkish Journal of Electrical Engineering and Computer Sciences, vol. 15, no. 2, 2007, pp. 115–147.
- [3] F. Mondada, M. Bonani, X. Raemy, J. Pugh, C. Cianci, A. Klaptocz, S. Magnenat, J. C. Zufferey, D. Floreano, and A. Martinoli, “The e-puck, a robot designed for education in engineering”. In: Proceedings of the 9th Conference on Autonomous Robot Systems and Competitions, May 2009, pp. 59–65.
- [4] M. Nasser, “On E-Puck Mobile Robots for Distributed Robotics”, ser. National University of Singapore.
- [5] S. Slusny, R. Neruda, and P. Vidnerová, “Localization with a low-cost robot”. In: Proceedings of the Conference on Theory and Practice on Information Technologies. CEUR Workshop Proceedings, September 2009, pp. 77–80.
- [6] S. Grzonka,W. Burgard, C. Stachniss, and G. Grisetti, “Introduction to mobile robotics: Localization with a low cost robot”, 2008, University of Freiburg.
- [7] R. Negenborn, “Robot Localization and Kalman Filters: On finding your position in a noisy world”, ser. Utrecht University, Utrecht, Netherlands, September 2003.
- [8] A. Burian, M. Vehvilainen, J. Kangas, “Camera barcode reader with automatic localization, detection of orientation and type classification,” Computers and Simulation in Modern Science, vol. 1, 2008, pp. 214–219.
- [9] D. Chai, F. Hock, “Locating and decoding EAN-13 barcodes from images captured by digital cameras”. In: 5th Inernational Conference on Information, Communications and Signal Processing, December 2005, pp. 1595–1599.
- [10] J. C. Rocholl, S. Klenk, and G. Heidemann, “Robust 1D barcode recognition on mobile devices”. In: 20th Inernational Conference on Pattern Recognition, August 2010, pp. 2712–2715.
- [11] L. Fang and C. Xie, “1-D barcode localization in complex background”. In: 2nd International Conference on Computational Intelligence and Software Engineering, December 2010.
- [12] K.Wang, Y. Zou, and H.Wang, “1D bar code reading on camera phones”, International Journal of Image and Graphics, vol. 7, no. 3, 2007, pp. 529–550.
- [13] S. Wachenfeld, S. Terlunen, X. Jiang, “Robust recognition of 1-D barcodes using camera phones”. In: 19th Inernational Conference on Pattern Recognition, December 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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