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...

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Bibliographic Details
Main Author: Mitschke, Norbert (auth)
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
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245 1 0 |a Konvolutionäre neuronale Netze in der industriellen Bildverarbeitung und Robotik 
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520 |a 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. 
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546 |a German 
650 7 |a Electrical engineering  |2 bicssc 
653 |a künstliche neuronale Netze; Bildverarbeitung; bildbasierte Regelung; FPGA; CNN; image based visual servoing 
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