Literature DB >> 19258686

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

T Köhler1, F Röchter, J P Lindemann, R Möller.   

Abstract

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 10,000 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.

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Year:  2009        PMID: 19258686     DOI: 10.1088/1748-3182/4/1/015008

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  2 in total

1.  Optical flow in a smart sensor based on hybrid analog-digital architecture.

Authors:  Pablo Guzmán; Javier Díaz; Rodrigo Agís; Eduardo Ros
Journal:  Sensors (Basel)       Date:  2010-03-30       Impact factor: 3.576

2.  Peripheral Processing Facilitates Optic Flow-Based Depth Perception.

Authors:  Jinglin Li; Jens P Lindemann; Martin Egelhaaf
Journal:  Front Comput Neurosci       Date:  2016-10-21       Impact factor: 2.380

  2 in total

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