Real-time robot vision for collision avoidance inspired by neuronal circuits of insects

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2007, Pages 1302-1307

  Okuno, Hirotsugu ^a   Yagi, Tetsuya ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COLLISION AVOIDANCE; COMPUTER NETWORKS; COMPUTER VISION; DIGITAL CIRCUITS; DIGITAL INTEGRATED CIRCUITS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); INTEGRATED CIRCUITS; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; ROBOTICS; ROBOTS; SENSORS; VISUAL COMMUNICATION;

INTERNATIONAL CONFERENCES; NERVOUS SYSTEMS; REAL-WORLD SITUATIONS;

ANALOG CIRCUITS;

EID: 51349127811     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399089     Document Type: Conference Paper

References (20)

1. F.C. Rind and P.J.Simmons, "Seeing what is coming: building collision-sensitive neurons," Trends Neuroscience 22(5), pp215-220, May 1999.
2. W. Reichardt and T. Poggio, "Visual control of orientation behaviour in the fly Part I," Q. Rev. Biophys., vol.9, pp.311-375, 1976.
3. T. Poggio and W. Reichardt, "Visual control of orientation behaviour in the fly Part II," Q. Rev. Biophys., vol.9, pp.377-438, 1976.
4. M. Egelhaaf and A. Borst, "A Look into the Cockpit of the Fly: Visual Orientation, Algorithms, and Identified Neuron," J. Neurosci., vol.13, pp.4563-4574, 1993.
5. N. Franceschini, J. M. Pichon and C. Blanes, "From insect vision to robot vision," Philos. Trans. Roy. Soc. Lond. B, vol.337, pp.283-294, 1992.
6. N. Franceschini, "Visual guidance based on optic flow: a biorobotic approach," J. Physiol. Paris, vol.98, pp.281-292, 2004.
7. B. Webb, "Robots in invertebrate neuroscience," Nature, vol.417, pp. 359-363, 2002.
8. N. Hatsopoulus, F. Gabbiani and G. Laurent, "Elementary computation of object approach by a wide-field visual neuron," Science, vol.270, pp.1000-1003, 1995.
9. F. C. Rind, "Intracellular characterization of neurons in the locust brain signalling impending collision," J. Neurophysiol., vol.75, pp.986-995. 1996.
10. M. O'Shea, J. L. Williams, "The anatomy and output connections of a locust visual intemeuron: the lobula giant movement detector(LGMD) neuron," J. Comp. Physiol., vol.91, pp.257-266, 1974.
11. F. C. Rind and D. I. Bramwell, "Neural network based on the input organization of an identified neuron signaling impending collision," J. Neurophysiol., vol.75, pp.967-984, 1996.
12. M. Blanchard, F. C. Rind and P. F. M. J. Verschure, "Collision avoidance using a model of the locust LGMD neuron," Robot. Auton. Sys., vol.30, pp.17-38, 2000.
13. S. Bermudez and P. Verschure, "A Collision Avoidance Model Based on the Lobula Giant Movement Detector(LGMD) neuron of the Locust," Proceedings of the IJCNN, Budapest 2004.
14. S. Yue, F. C. Rind, M. S. Keil, J. Cuadri and R. Stafford, "A bioinspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment," NeuroComputing, vol.69, pp.1591-1598, 2006.
15. J. Cuadri, G. Linan, R. Stafford, M. S. Keil and E. Roca, "A bioinspired collision detection algorithm for VLSI implementation," Proceedings of the SPIE conference on Bioengineered and Bioinspired System 2005.
16. R. Laviana, L. Carranza, S. Vargas, G. Liñ́an, E. Roca., "A Bioinspired Vision Chip Architecture for Collision Detection in Automotive Applications," Proceedings of the SPIE conference on Bioengineered and Bioinspired System 2005.
17. H.Okuno and T. Yagi, "Bio-inspaired real-time robot vision for collision avoidance," Journal of Robotics and Mechatronics, In press.
18. S. Kameda and T Yagi, "An analog VLSI chip emulating sustained and transient response channels of the vertebrate retina," IEEE Trans. on Neural Networks, vol.14, pp. 1405-1412, 2003.
19. R. Takami, K. Shimonomura, S. Kameda and T. Yagi, "A novel pre-processing vision system employing neuromorphic 100×100 pixel silicon retina," Proc. 2005 IEEE Intl. Symp. on Circuits and Systems, pp.2771-2774, Kobe, Japan, 2005.
20. G. Indiveri and R. Douglas, "Neuromorphic Vision Sensors," Sicence, vol.288, pp.1189-1190, 2000.