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Mitros, Ania Karolina (2006-02-15) A compact system for self-motion estimation. http://resolver.caltech.edu/CaltechETD:etd-05252006-145119


Type of Document Dissertation
Author Mitros, Ania Karolina
Author's Email Address ania AT alumni.rice.edu
URN etd-05252006-145119
Persistent URL http://resolver.caltech.edu/CaltechETD:etd-05252006-145119
Title A compact system for self-motion estimation
Degree PhD
Option Computation and Neural Systems
Advisory Committee
Advisor Name Title
Christof Koch Committee Chair
Ali Hajimiri Committee Member
Christopher J. Diorio Committee Member
Joel Wakeman Burdick Committee Member
Pietro Perona Committee Member
Keywords
  • CMOS imager
  • floating gate
  • EEPROM
  • mismatch
  • analog
  • subthreshold
  • circuit
  • vision
Date of Defense 2006-02-15
Availability unrestricted
Abstract
Self-motion estimation is a vital problem for autonomous robots, frequently and appropriately addressed by vision algorithms. Most approaches involve repeating some local calculation over the entire imaging array, such as detection of locally salient features. A simple and local calculation can be efficiently implemented on the same chip as the photo-sensing array, thus parallelizing a huge computational task and vastly reducing the amount of data to transmit off chip. Mismatch between devices has previously been a stumbling block to producing truly useful arrays of local processing elements. Floating gate technology is used here as a compact means of programming away offsets in subcircuits to remedy this problem. A custom analog chip performs the above functions. For each pixel, the chip outputs sensed light intensity, the values of the vertical and horizontal intensity gradients, and a binary value indicating whether a feature is centered on that pixel. These values can be used as inputs to a motion estimation algorithm implemented on a standard computer.
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