A 256x256 6.3pJ/pixel-event Query-driven Dynamic Vision Sensor with Energy-conserving Row-parallel Event Scanning

This work reports a query-driven dynamic vision sensing (q DVS) approach to computational imaging that substantially improves on the achievable pixel density and energy efficiency of visual event coding. The chip architecture combines complementary advantages of frame scanning active pixel sensors (...

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Bibliographic Details
Published inProceedings of the Custom Integrated Circuits Conference pp. 1 - 2
Main Authors Kubendran, Rajkumar, Paul, Akshay, Cauwenberghs, Gert
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2021
Subjects
Computer architecture
Conferences
Fill factor (solar cell)
Imaging
Sensitivity
Vision sensors
Visualization
Online AccessGet full text
ISSN2152-3630
DOI10.1109/CICC51472.2021.9431446

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Summary:This work reports a query-driven dynamic vision sensing (q DVS) approach to computational imaging that substantially improves on the achievable pixel density and energy efficiency of visual event coding. The chip architecture combines complementary advantages of frame scanning active pixel sensors (APS) and event-driven DVS (e DVS) CMOS imagers. The 256x256-pixel q DVS with 33% fill factor achieves 10% temporal contrast sensitivity and consumes 0.5mW from 1.2V at a peak event rate of 80Meps, yielding an energy efficiency Figure-of-Merit (FoM) of 6.3pJ/pixel-event.
ISSN:2152-3630
DOI:10.1109/CICC51472.2021.9431446