• DocumentCode
    1997513
  • Title

    Motion image sensor with on-chip adaptation and Programmable Filtering

  • Author

    Xu, Peng ; Abshire, Pamela ; Humbert, J. Sean

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    2425
  • Lastpage
    2428
  • Abstract
    We present a fly-inspired integrated motion image sensor for autonomous navigation with on-chip optic flow computation, mismatch compensation, and programmable spatial filters. The sensor computes spatial motion patterns from local motion signals extracted by elementary motion detectors (EMDs). Floating gate transistors are used to cancel fabrication mismatch in the EMDs and also to program spatial filtering coefficients. The sensor is the first reported motion image sensor that extracts multiple motion parameters from the spatial motion pattern, enabled by the mismatch compensation and programmable filters. An array of 19 EMDs provide inputs to 4 weighted spatial filters on a 3 × 3 mm2 chip in 0.5 μm CMOS technology. Results from both benchtop tests and closed loop navigation of a ground vehicle are reported.
  • Keywords
    CMOS image sensors; image motion analysis; programmable filters; spatial filters; transistors; CMOS technology; EMD; autonomous navigation; benchtop tests; closed loop navigation; elementary motion detector; floating gate transistor; fly-inspired integrated motion image sensor; ground vehicle; local motion signal extraction; mismatch compensation; multiple motion parameter; on-chip adaptation; on-chip optic flow computation; programmable spatial filter; spatial filtering coefficient; spatial motion pattern; Logic gates; Optical device fabrication; Optical filters; Optical imaging; Optical sensors; Programming; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4244-9473-6
  • Electronic_ISBN
    0271-4302
  • Type

    conf

  • DOI
    10.1109/ISCAS.2011.5938093
  • Filename
    5938093