Konvolutionäre neuronale Netze in der industriellen Bildverarbeitung und Robotik
In the first part of this dissertation, a framework for the design of a CNN for FPGAs is presented, consisting of a preprocessing algorithm, an augmentation technique, a custom quantization scheme and a pruning step of the CNN. The combination of conventional image processing with neural networks is...
Saved in:
Main Author: | |
---|---|
Format: | Electronic Book Chapter |
Published: |
KIT Scientific Publishing
2022
|
Series: | Forschungsberichte aus der Industriellen Informationstechnik
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | In the first part of this dissertation, a framework for the design of a CNN for FPGAs is presented, consisting of a preprocessing algorithm, an augmentation technique, a custom quantization scheme and a pruning step of the CNN. The combination of conventional image processing with neural networks is shown in the second part by an example from robotics, where an image-based visual servoing process is successfully conducted for a gripping process of a robot. |
---|---|
Physical Description: | 1 electronic resource (212 p.) |
ISBN: | KSP/1000146397 |
Access: | Open Access |