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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| Format: | eBook |
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KIT Scientific Publishing
2022
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| Series: | Forschungsberichte aus der Industriellen Informationstechnik
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| Collection: | OAPEN - Collection details see MPG.ReNa |
| 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. |
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| Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/ |
| Physical Description: | 212 p. |
| ISBN: | KSP/1000146397 |