Insect-inspired high-speed motion vision system for robot control

Haiyan Wu, Ke Zou, Tianguang Zhang, Alexander Borst, Kolja Kühnlenz

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The mechanism for motion detection in a fly’s vision system, known as the Reichardt correlator, suffers from a main shortcoming as a velocity estimator: low accuracy. To enable accurate velocity estimation, responses of the Reichardt correlator to image sequences are analyzed in this paper. An elaborated model with additional preprocessing modules is proposed. The relative error of velocity estimation is significantly reduced by establishing a real-time responsevelocity
lookup table based on the power spectrum analysis of the input signal. By exploiting the improved velocity estimation accuracy and the simple structure of the Reichardt correlator, a high-speed vision system of 1 kHz is designed and applied for robot yaw-angle control in real-time experiments. The experimental results demonstrate the potential and feasibility of applying insect-inspired motion detection to robot control.
Original languageEnglish
JournalBiological Cybernetics
Publication statusE-pub ahead of print - 2012
Externally publishedYes

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