An analysis framework for event-based sensor performance

Joseph Cox, Amit Ashok, Nicholas Morley

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

1 Scopus citations

Abstract

Event-Based Sensors (EBSs) are passive electro-optical (EO) imaging sensors which have read-out hardware that only outputs when and where temporal changes in scene brightness are detected. In the case of a static background and platform, this hardware ideally implements background clutter cancellation, leaving only moving object data to be read out. This data reduction leads to a bandwidth reduction, which is equivalent to increasing spatio-temporal resolution. This advantage can be exploited in multiple ways, using trade-offs between spatial and temporal resolution, and between spatial resolution and field-of-view. In this paper, we introduce the EBS concept and our previous experiments and analysis. We discuss important EBS properties, followed by discussion of applications where the EBS could provide significant benefit over conventional frame-based EO sensors. Finally, we present a method for analyzing EBS technology for specific applications (i.e. determine performance compared to conventional technology). This approach involves abstraction of EBS and conventional imaging technology and provides a way to determine the value of EBSs over conventional imaging technology for facilitating future EBS application development.

Original languageEnglish (US)
Title of host publicationUnconventional Imaging and Adaptive Optics 2020
EditorsJean J. Dolne, Mark F. Spencer
PublisherSPIE
ISBN (Electronic)9781510638228
DOIs
StatePublished - 2020
EventUnconventional Imaging and Adaptive Optics 2020 - Virtual, Online, United States
Duration: Aug 24 2020Sep 4 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11508
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceUnconventional Imaging and Adaptive Optics 2020
Country/TerritoryUnited States
CityVirtual, Online
Period8/24/209/4/20

Keywords

  • Analysis
  • Event-Based Sensor
  • Image Science
  • Modeling and Simulation
  • Performance
  • Systems Engineering

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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