Abstract
This paper presents an FPGA implementation for real-time motion estimation of an underwater robot using computer vision. The algorithm searches for correspondences of a given number of interest points for every image acquired by the camera and some previous reference images. In order to minimise the lighting problems, normalised correlation is used as similarity measurement to match corresponding points in different images. The complexity of normalised correlation criteria determined two main parts in our hardware implementation: an array of Processing Elements (PE) and Post Processing Element (PPE).
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References
Baglietto, P., Maresca, M., Migliaro, A., Migliardi, M.: Parallel implementation of the full search block matching algorithm for motion estimation. In: International Conference on Application Specific Array Processors, July 1995, pp. 182–192 (1995)
CufÃ, X., Garcia, R., Ridao, R.: An approach to vision-based station keeping for an unmanned underwater vehicle. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, pp. 799–804 (2002)
Ila, V., Garcia, R., Charot, F.: Proposal of a parallel architecture for a motion detection algorithm. In: International Conference on Pattern Recognition, Cambridge (August 2004)
Komarek, T., Pirsch, P.: Array architectures for block matching algorithms. IEEE Transactions on Circuits and Systems 36(10), 1301–1308 (1989)
Li, W., Chu, W.: A new non-restoring square root algorithm and its vlsi implementations. In: 1996 IEEE International Conference on Computer Design: VLSI in Computers and Processors, October 7-9, pp. 538–544 (1996)
Yang, K.-M., Sun, M.-T., Wu, L.: A family of VLSI designs for the motion compensation block-matching algorithm. IEEE Transactions on Circuits and Systems, 1317–1325 (October 1989)
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© 2004 Springer-Verlag Berlin Heidelberg
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Ila, V., Garcia, R., Charot, F., Batlle, J. (2004). FPGA Implementation of a Vision-Based Motion Estimation Algorithm for an Underwater Robot. In: Becker, J., Platzner, M., Vernalde, S. (eds) Field Programmable Logic and Application. FPL 2004. Lecture Notes in Computer Science, vol 3203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30117-2_153
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DOI: https://doi.org/10.1007/978-3-540-30117-2_153
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22989-6
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