Embedded Implementation of a Resource-Efficient Optical Flow Extraction Method

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Abstract

The main goal of the proposed project is to enhance a mobile robot with evolutionary optimization capabilities for tasks like egomotion estimation and/or obstacle avoidance. The robot will learn to navigate different environments and will adapt to changing conditions. This implies the implementation of vision-based navigation of robots using artificial vision, computed with on-board FPGAs. The current paper aim to contribute on the implementation of a real-time motion extraction from video a feed using embedded FPGA circuits.

[1] A. Vatavu, R. Danescu, |S. Nedevschi, “Real-Time Dynamic Environment Perception in Driving Scenarios Using Difference Fronts”, Proceedings of the 2012 IEEE Intelligent Vehicle Symposium, June 2012, Alcala de Henares, Spain, pp. 717-722.

[2] R. Danescu, S. Nedevschi, “Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision”, in IEEE Trans. on Intelligent Transportation Systems, vol. 10, no. 2, 2009, pp. 272-282

[3] Dellaert, F., Thorpe, C.: Robust Car Tracking using Kalman filtering and Bayesian templates. In: proceedings of Conference on Intelligent Transportation Systems, vol. 3207, pp. 72--83. (1997)

[4] Nedevschi, S., Danescu, R., Marita, T., Oniga, F., Pocol, C., Sobol, S., Tomiuc, C. Vancea, C., Meinecke, M. M., Graf, T., To, T. B., Obojski, M. A.: A sensor for urban driving assistance systems based on dense stereovision. In: Intelligent Vehicles 2007, pp. 278--286, Istanbul (2007)

[5] D. Floreano, R. Pericet-Camara, S. Viollet, F. Ruffier and A. Brückner et al. Miniature curved artificial compound eyes, in Proceedings of the National Academy of Sciences, vol. 110, num. 23, p. 9332-9337, 2013.

[6] R. Pericet Camara, M. Dobrzynski, G. L'Eplattenier, J.-C. Zufferey and F. Expert et al. CURVACE - CURVed Artificial Compound Eyes. 2nd European Future Technologies Conference and Exhibition 2011 (FET 11), Budapest, Hungary, Procedia Computer Science, 2011.

[7] Kirschfeld K (1976) The resolution of lens and compound eyes. Neural Principles in Vision, eds Zettler F & Weiler R (Springer, Berlin, Germany), pp 354-370.

[8] Trong-Yen, L., et al. Sophisticated Computation of Hardware-Software Partition for Embedded Multiprocessor FPGA Systems. in Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on. 2008.

[9] Krichen, F., et al. Designing dynamic reconfiguration for distributed real time embedded systems. in New Technologies of Distributed Systems (NOTERE), 2010 10th Annual Intern. Conf. on. 2010.

[10] Bako, L., Real-time classification of datasets with hardware embedded neuromorphic neural networks. Briefings in Bioinform, 2010. 11(3): p. 348-63.

[11] Bako, L. and S.T. Brassai, Embedded neural controllers based on spiking neuron models. Pollack Periodica, 2009. 4(3): p. 143-154

[12] J. Barron, D. Fleet, S. Beauchemin, Performance of Optical flow techniques, International Journal of Computer Vision (IJCV) 12 (1994) 43-77.

[13] B. Horn, B. Schunck, Determining Optical flow, AI 17 (1981) 185-203.

[14] Lucas, B. and Kanade, T. 1981. An iterative image registration technique with an application to stereo vision. In Proceedings of the International Joint Conference on Artificial Intelligence, pp. 674- 679.

MACRo 2015

Proceedings of the 5th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics

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