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

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

Event-based vision sensors produce asynchronous event streams with high temporal resolution based on changes in the visual scene. The properties of these sensors allow for accurate and fast calculation of optical flow as events are generated. Existing solutions for calculating optical flow from even...

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Bibliographic Details
Main Authors: Daniel C. Stumpp, Himanshu Akolkar, Alan D. George, Ryad B. Benosman
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Event-based
aperture robust
optical flow
neuromorphic computing
field programmable gate arrays
system-on-chip
Online Access:https://ieeexplore.ieee.org/document/9774999/

Internet

https://ieeexplore.ieee.org/document/9774999/

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