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Konvolutionäre neuronale Netze in der industriellen Bildverarbeitung und Robotik

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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखक: Mitschke, Norbert (auth)
स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
प्रकाशित: KIT Scientific Publishing 2022
श्रृंखला:Forschungsberichte aus der Industriellen Informationstechnik
विषय:
Electrical engineering
künstliche neuronale Netze; Bildverarbeitung; bildbasierte Regelung; FPGA; CNN; image based visual servoing
ऑनलाइन पहुंच:DOAB: download the publication
DOAB: description of the publication
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विवरण
सारांश: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.
भौतिक वर्णन:1 electronic resource (212 p.)
आईएसबीएन:KSP/1000146397
अभिगमन:Open Access

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