Online-Ressource
[Place of publication not identified] :KIT Scientific Publishing,
UID:
edocfu_9960834014502883
Umfang:
1 online resource (212 pages)
Inhalt:
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.
Weitere Ausg.:
ISBN 1000146397
Sprache:
Deutsch
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