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: |
|
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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