A low-power analog VLSI visual collision detector

Advances in Neural Information Processing Systems

Volumn , Issue , 2004, Pages

  Harrison, Reid R ^a  

^a University of Utah   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CMOS INTEGRATED CIRCUITS;

ANALOG VLSI; CIRCUIT MODELS; CMOS PROCESSS; ELEMENTARY MOTION DETECTORS; MOTION DETECTORS; SINGLE-CHIP; VISUAL SYSTEMS; WIDE-ANGLE OPTICS;

SENSORS;

EID: 78649459528     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. F. Gabbiani, H.G. Krapp, and G. Laurent, .Computation of object approach by a widefield, motion-sensitive neuron, . J. Neurosci. 19:1122-1141, 1999.
2. H. Sun and B.J. Frost, .Computation of different optical variables of looming objects in pigeon nucleus rotundus neurons, . Nature Neurosci. 1:296-303, 1998.
3. A. Borst and S. Bahde, .Visual information processing in the flys landing system, . J. Comp. Physiol. A 163:167-173, 1988.
4. L.T. Tammero and M.H. Dickinson, .Collision-avoidance and landing responses are mediated by separate pathways in the fruit fly, Drosophila melanogaster, . J. Exp. Biol.205: 2785-2798, 2002.
5. A.P. Duchon, W.H. Warren, and L.P. Kaelbling, .Ecological robotics, . Adaptive Behavior 6:473-507, 1998.
6. R.R. Harrison, .An algorithm for visual collision detection in real-world scenes, . submitted to NIPS 2003.
7. B. Hassenstein and W. Reichardt, .Systemtheoretische Analyse der Zeit-, Reihenfolgen-, und Vorzeichenauswertung bei der Bewegungsperzeption des Rüsselkäfers Chlorophanus, . Z. Naturforch. 11b:513-524, 1956.
8. S.B. Laughlin, .Matching coding, circuits, cells, and molecules to signals . general principles of retinal design in the flys eye, . Progress in Ret. Eye Research 13:165-196, 1994.
9. J.H. van Hateren, .Theoretical predictions of spatiotemporal receptive fields of fly LMCs, and experimental validation, . J. Comp. Physiol. A 171:157-170, 1992.
10. J.H. van Hateren, .Processing of natural time series of intensities by the visual system of the blowfly, . Vision Res. 37:3407-3416, 1997.
11. A.B. Saul and A.L. Humphrey, .Spatial and temporal response properties of lagged and nonlagged cells in cat lateral geniculate nucleus, . J. Neurophysiol. 64:206-224, 1990.
12. D.W. Dong and J.J. Atick, .Temporal decorrelation: A theory of lagged and nonlagged responses in the lateral geniculate nucleus, . Network 6:159-178, 1995.
13. E.H. Adelson and J.R. Bergen, .Spatiotemporal energy models for the perception of motion, . J. Opt. Soc. Am. A 2:284-299, 1985.
14. M. Egelhaaf and A. Borst, .Transient and steady-state response properties of movement detectors, . J. Opt. Soc. Am. A 6:116-127, 1989.
15. R.O. Dror, D.C. Ofiarroll, and S.B. Laughlin, .Accuracy of velocity estimation by Reichardt correlators, . J. Opt. Soc. Am. A 18:241-252, 2001.
16. R.R. Harrison and C. Koch, .A robust analog VLSI Reichardt motion sensor, . Analog Integrated Circuits and Signal Processing 24:213-229, 2000.
17. C. Mead, Analog VLSI and Neural Systems, Reading, MA: Addison-Wesley, 1989.