Paper
19 January 2006 A 16 pixel yaw sensor for velocity estimation
Author Affiliations +
Proceedings Volume 6036, BioMEMS and Nanotechnology II; 603618 (2006) https://doi.org/10.1117/12.639260
Event: Microelectronics, MEMS, and Nanotechnology, 2005, Brisbane, Australia
Abstract
The insect visual system, with its simplicity and efficiency has gained widespread attention and many biologically inspired models are being used for motion detection and velocity estimation tasks. One of the earliest and most efficient models among them is the Reichardt correlator model. In this paper, we have elaborated the basic Reichardt correlator to include spatial and temporal pre-filtering and additional non-linearites which are believed to be present in the fly visual system to develop a simple yaw sensor. We have used just 16 elaborated EMDs and it is seen that this sensor can detect rotational motion at angular velocities up to several thousand degrees per second. The modelling of these sensors make us realize that the VLSI implementation of such simple detectors can have varied applications for flight control in different fields.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sreeja Rajesh, Derek Abbott, and David C. O'Carroll "A 16 pixel yaw sensor for velocity estimation", Proc. SPIE 6036, BioMEMS and Nanotechnology II, 603618 (19 January 2006); https://doi.org/10.1117/12.639260
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KEYWORDS
Motion models

Optical correlators

Sensors

Motion detection

Linear filtering

Visual system

Motion estimation

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