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Visual Sensor with Resolution Enhancement by Mechanical Vibrations

Landolt, Oliver and Mitros, Ania (2001) Visual Sensor with Resolution Enhancement by Mechanical Vibrations. Autonomous Robots, 11 (3). pp. 233-239. ISSN 0929-5593. doi:10.1023/A:1012482822516.

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The resolution limit of visual sensors due to finite pixel spacing can be overcome by applying continuous low-amplitude vibrations to the image—or taking advantage of existing vibrations in the environment. Thereby, spatial intensity gradients turn into temporal intensity fluctuations which can be detected and processed by every pixel independently from the others. This approach enhances resolution and virtually eliminates fixed-pattern noise. A visual sensing microsystem taking advantage of this principle is described. It incorporates a custom analog integrated circuit implementing an array of 32 by 32 pixels with local temporal signal processing. Another key component is a resonant mechanical device producing low-amplitude image scanning movements powered by environmental vibrations.

Item Type:Article
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Additional Information:© 2001 Kluwer Academic Publishers. This work was funded by the Office of Naval Research, DARPA, and the Center for Neuromorphic Systems Engineering as part of the National Science Foundation Engineering Research Center Program.
Group:Koch Laboratory (KLAB)
Funding AgencyGrant Number
Office of Naval Research (ONR)UNSPECIFIED
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Center for Neuromorphic Systems Engineering, CaltechUNSPECIFIED
Subject Keywords:image sensor, scanning, feature extraction, neuromorphic, analog VLSI, jumping spider
Issue or Number:3
Record Number:CaltechAUTHORS:20130816-103212228
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Official Citation:Landolt, O., Mitros, A. Visual Sensor with Resolution Enhancement by Mechanical Vibrations. Autonomous Robots 11, 233–239 (2001).
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:40462
Deposited By: KLAB Import
Deposited On:11 Jan 2008 22:49
Last Modified:09 Nov 2021 23:49

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