Traffic Sign classification using Deep Learning

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU140841" target="_blank" >RIV/00216305:26220/21:PU140841 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
čeština
Original language name
Traffic Sign classification using Deep Learning
Original language description
The thesis focuses on the classification of traffic signs in images and video sequences. The goal is real-time processing and usage of software in the vehicle. Neural networks and the Python programming language were chosen to solve the problem. To solve the problem a machine learning method was chosen, more precisely a convolutional neural network. A neural network in the Python programming language was created for the classification of traffic signs, using the Keras and Tensorflow libraries. The neural network architecture is chosen for optimization for use on a single-board computer with limited performance.
Czech name
Traffic Sign classification using Deep Learning
Czech description
The thesis focuses on the classification of traffic signs in images and video sequences. The goal is real-time processing and usage of software in the vehicle. Neural networks and the Python programming language were chosen to solve the problem. To solve the problem a machine learning method was chosen, more precisely a convolutional neural network. A neural network in the Python programming language was created for the classification of traffic signs, using the Keras and Tensorflow libraries. The neural network architecture is chosen for optimization for use on a single-board computer with limited performance.

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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