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
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