Bio-inspired motion detection in an FPGA-based smart camera module

Köhler T, Roechter F, Lindemann JP, Möller R (2009)
Bioinspiration & Biomimetics 4(1): 015008.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
Flying insects, despite their relatively coarse vision and tiny nervous system, are capable of carrying out elegant and fast aerial manoeuvres. Studies of the fly visual system have shown that this is accomplished by the integration of signals from a large number of elementary motion detectors (EMDs) in just a few global flow detector cells. We developed an FPGA-based smart camera module with more than 10000 single EMDs, which is closely modelled after insect motion-detection circuits with respect to overall architecture, resolution and inter-receptor spacing. Input to the EMD array is provided by a CMOS camera with a high frame rate. Designed as an adaptable solution for different engineering applications and as a testbed for biological models, the EMD detector type and parameters such as the EMD time constants, the motion-detection directions and the angle between correlated receptors are reconfigurable online. This allows a flexible and simultaneous detection of complex motion fields such as translation, rotation and looming, such that various tasks, e. g., obstacle avoidance, height/distance control or speed regulation can be performed by the same compact device.
Erscheinungsjahr
2009
Zeitschriftentitel
Bioinspiration & Biomimetics
Band
4
Ausgabe
1
Seite(n)
015008
ISSN
1748-3182
eISSN
1748-3190
Page URI
https://pub.uni-bielefeld.de/record/1634122

Zitieren

Köhler T, Roechter F, Lindemann JP, Möller R. Bio-inspired motion detection in an FPGA-based smart camera module. Bioinspiration & Biomimetics. 2009;4(1):015008.
Köhler, T., Roechter, F., Lindemann, J. P., & Möller, R. (2009). Bio-inspired motion detection in an FPGA-based smart camera module. Bioinspiration & Biomimetics, 4(1), 015008. https://doi.org/10.1088/1748-3182/4/1/015008
Köhler, Tim, Roechter, F., Lindemann, Jens Peter, and Möller, Ralf. 2009. “Bio-inspired motion detection in an FPGA-based smart camera module”. Bioinspiration & Biomimetics 4 (1): 015008.
Köhler, T., Roechter, F., Lindemann, J. P., and Möller, R. (2009). Bio-inspired motion detection in an FPGA-based smart camera module. Bioinspiration & Biomimetics 4, 015008.
Köhler, T., et al., 2009. Bio-inspired motion detection in an FPGA-based smart camera module. Bioinspiration & Biomimetics, 4(1), p 015008.
T. Köhler, et al., “Bio-inspired motion detection in an FPGA-based smart camera module”, Bioinspiration & Biomimetics, vol. 4, 2009, pp. 015008.
Köhler, T., Roechter, F., Lindemann, J.P., Möller, R.: Bio-inspired motion detection in an FPGA-based smart camera module. Bioinspiration & Biomimetics. 4, 015008 (2009).
Köhler, Tim, Roechter, F., Lindemann, Jens Peter, and Möller, Ralf. “Bio-inspired motion detection in an FPGA-based smart camera module”. Bioinspiration & Biomimetics 4.1 (2009): 015008.
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2 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Depth from a Motion Algorithm and a Hardware Architecture for Smart Cameras.
Aguilar-González A, Arias-Estrada M, Berry F., Sensors (Basel) 19(1), 2018
PMID: 30583606
Peripheral Processing Facilitates Optic Flow-Based Depth Perception.
Li J, Lindemann JP, Egelhaaf M., Front Comput Neurosci 10(), 2016
PMID: 27818631

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