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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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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Stumpp, Daniel C
Akolkar, Himanshu
George, Alan DAlan.George@pitt.eduADG910000-0001-9665-2879
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


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