صورة الغلاف

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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محفوظ في:
المؤلف الرئيسي: Mitschke, Norbert
التنسيق: Online
اللغة:الألمانية
منشور في: KIT Scientific Publishing 2022
الموضوعات:
künstliche neuronale Netze; Bildverarbeitung; bildbasierte Regelung; FPGA; CNN; image based visual servoing
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
الوصول للمادة أونلاين:https://library.oapen.org/handle/20.500.12657/58037
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الملخص: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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