Efficiency of CNN on Heterogeneous Processing Devices

Efficiency of CNN on Heterogeneous Processing Devices

In the development of advanced driver assistance systems, computer vision problemsneed to be optimized to run efficiently on embedded platforms. Convolutional neural network(CNN) accelerators have proven to be very efficient for embedded camera platforms,such as the ones used for automotive vision s...

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Bibliographic Details
Main Author: Ringenson, Josefin
Format: Others
Language:English
Published: Linköpings universitet, Programvara och system 2019
Subjects:
CNN
Accelerator
Convolution
Heterogeneous Processing Device
AI Engine
FPGA
Hardware Architecture
Automotive Security
Computer Vision
Layer Fusion
Computer Systems
Datorsystem
Embedded Systems
Inbäddad systemteknik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155034

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155034

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