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...
Sparad:
| Huvudskapare: | |
|---|---|
| Materialtyp: | Elektronisk Bokavsnitt |
| Publicerad: |
KIT Scientific Publishing
2022
|
| Serie: | Forschungsberichte aus der Industriellen Informationstechnik
26 |
| Ämnen: | |
| Länkar: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|
| Sammanfattning: | 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. |
|---|---|
| Fysisk beskrivning: | 1 electronic resource (212 p.) |
| ISBN: | KSP/1000146397 |
| Tillgång: | Open Access |