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Konvolutionäre neuronale Netze in der industriellen Bildverarbeitung und Robotik
Norbert Mitschke
2022
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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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Keywords
- bildbasierte Regelung
- Bildverarbeitung
- CNN
- Electrical engineering
- Energy technology & engineering
- FPGA
- image based visual servoing
- künstliche neuronale Netze
- Technology, engineering, agriculture
Links
DOI: 10.5445/KSP/1000146397Editions