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INTELLIGENT VISION SYSTEMS FOR ROBOTIC APPLICATIONS

Institute TAMS, Department of Informatics, University of Hamburg, MIN Faculty, Vogt-Koelln-Str. 30, 22527 Hamburg, Germany

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HANNES BISTRY

Institute TAMS, Department of Informatics, University of Hamburg, MIN Faculty, Vogt-Koelln-Str. 30, 22527 Hamburg, Germany

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JIANWEI ZHANG

Institute TAMS, Department of Informatics, University of Hamburg, MIN Faculty, Vogt-Koelln-Str. 30, 22527 Hamburg, Germany

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https://doi.org/10.1142/S0219878908001648Cited by:4 (Source: Crossref)

Abstract

Vision-based sensors are a key component for robot-systems, where many tasks depend on image data. Realtime control constraints bind a lot of processing power for only a single sensor modality. Dedicated and distributed processing resources are the "natural" solution to overcome this limitation. This paper presents experiments, using embedded processors as well as dedicated hardware, to execute various image (pre)processing tasks. Architectural concepts and requirements for intelligent vision systems have been acquired.

Keywords:

References

Anderson, J. D., Lee, D. J. and Archibald, J. K. [2005] "FPGA implementation of vision algorithms for small autonomous robots," SPIE, the International Society for Optical Engineering 6006, 600612 . Google Scholar
T. Baieret al., A flexible software architecture for multi-modal service robots, Proc. IMACS Multiconference on Computational Engineering in Systems Applications (2006) pp. 587–592. Google Scholar
Basler A. G., Intelligent Camera eXcite, Ahrensburg, Germany — http://www.baslerweb.com . Google Scholar
M. K. Birla, FPGA based reconfigurable platform for complex image processing, IEEE International Conference on Electro/Information Technology (2006) pp. 204–209. Google Scholar
H. Bistryet al., Development of a smart laser range finder for an autonomous service robot, Proc. IEEE Int. Conf. Integration Technology (2007) pp. 799–804. Google Scholar
J. Canny, IEEE Transactions on Pattern Analysis and Machine Intelligence 8(6), 679 (1986). Web of Science, Google Scholar
S. H. Jin, J. U. Cho and J. W. Jeon, Pipelined virtual camera configuration for real-time image processing based on FPGA, Proc. IEEE Int. Conf. Robotics and Biomimetics (2007) pp. 183–188. Google Scholar
S. M. Karabernou and F. Terranti, Image and Vision Computing 23(11), 1009 (2005), DOI: 10.1016/j.imavis.2005.07.004. Crossref, Web of Science, Google Scholar
A. Konnoet al., Development of a high speed vision system for mobile robots, Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (2006) pp. 1372–1377. Google Scholar
M. Li and Y. Jia, Stereo vision system on programmable chip (SVSoC) for small robot navigation, Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (2006) pp. 1359–1365. Google Scholar
A. Maeder and J. Zhang, WSEAS Transactions on Systems 5(6), 1401 (2006). Google Scholar
A. Maeder, H. Bistry and J. Zhang, Towards intelligent autonomous vision systems — Smart image processing for robotic applications, Proc. IEEE Int. Conf. Robotics and Biomimetics (2007) pp. 1081–1086. Google Scholar
Matrox Electronic Systems Ltd., Iris P-Series/E-Series, Dorval, Canada — http://www.matrox.com/imaging . Google Scholar
Y. Ni, Circuits, Devices and Systems; IEE Proceedings 152(5), 547 (2005), DOI: 10.1049/ip-cds:20045055. Crossref, Web of Science, Google Scholar
Sony Electronics Inc., XCI-SX1, XCI-V3, San Diego, CA — http://bssc.sel.sony.com/ . Google Scholar
Vision Components GmbH, VC Optimum, Ettlingen, Germany — http://www.vision-components.com . Google Scholar
W. Wolf, B. Ozer and T. Lv, Computer Journal 35(9), 48 (2002). Crossref, Web of Science, Google Scholar
Z. Yuet al., Design for network camera based on DSP, International Conference on Hybrid Information Technology (2006) pp. 20–24. Google Scholar