Konvolutionäre neuronale Netze in der industriellen Bildverarbeitung und Robotik / / Norbert Mitschke.
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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Place / Publishing House: | [Place of publication not identified] : : KIT Scientific Publishing,, 2022. |
Year of Publication: | 2022 |
Language: | German |
Physical Description: | 1 online resource (212 pages) |
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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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Hierarchical level: | Monograph |
Statement of Responsibility: | Norbert Mitschke. |