Neuromorphic vision systems for mobile applications

Ralph Etienne-Cummings, Swati Mehta, Ralf Philipp, Viktor Gruev

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Neuromorphic vision systems are ideal for mobile applications because they promise compact computational sensing at lower power consumption compared to the traditional imager/ADC/CPU systems. These properties are particularly important for unmanned aerial vehicles. We present current-mode low noise imaging, which is typically difficult to realize, and computation-on-readout imaging processing for stereopsis and motion estimation. We discuss how these processed images can be used for guiding and controlling an autonomous aerial vehicle.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE 2006 Custom Integrated Circuits Conference, CICC 2006
Number of pages4
StatePublished - 2006
Externally publishedYes
EventIEEE 2006 Custom Integrated Circuits Conference, CICC 2006 - San Jose, CA, United States
Duration: Sep 10 2006Sep 13 2006

Publication series

NameProceedings of the Custom Integrated Circuits Conference
ISSN (Print)0886-5930


OtherIEEE 2006 Custom Integrated Circuits Conference, CICC 2006
Country/TerritoryUnited States
CitySan Jose, CA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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