hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow

Stumpp, Daniel C and Akolkar, Himanshu and George, Alan D and Benosman, Ryad B (2022) hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow. IEEE ACCESS, 10. 58181 - 58198. ISSN 2169-3536

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Details

Item Type:	Article
Status:	Published
Creators/Authors:	Creators Email Pitt Username ORCID Stumpp, Daniel C Akolkar, Himanshu George, Alan D Alan.George@pitt.edu ADG91 0000-0001-9665-2879 Benosman, Ryad B
Date:	2022
Date Type:	Publication
Journal or Publication Title:	IEEE ACCESS
Volume:	10
Page Range:	58181 - 58198
DOI or Unique Handle:	10.1109/access.2022.3172396
Schools and Programs:	Swanson School of Engineering > Computer Engineering
Refereed:	Yes
Uncontrolled Keywords:	Optical sensors, Apertures, Sensors, Real-time systems, Vision sensors, Program processors, Optical computing, Event-based, aperture robust, optical flow, neuromorphic computing, field programmable gate arrays, system-on-chip, parallel acceleration, real-time systems
ISSN:	2169-3536
Date Deposited:	05 Feb 2024 13:11
Last Modified:	07 Feb 2024 05:55
URI:	http://d-scholarship.pitt.edu/id/eprint/45786

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