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...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Electrónico Capítulo de libro |
| Publicado: |
KIT Scientific Publishing
2022
|
| Colección: | Forschungsberichte aus der Industriellen Informationstechnik
|
| Materias: | |
| Acceso en línea: | DOAB: download the publication DOAB: description of the publication |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | 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. |
|---|---|
| Descripción Física: | 1 electronic resource (212 p.) |
| ISBN: | KSP/1000146397 |
| Acceso: | Open Access |