Виявлення та класифікація об’єктів дорожнього руху при використанні середовища digits
An overview of the architecture of the DetectNet neural network was conducted to study the model of detection and classification of traffic objects. In this case, the structure of the neural network and the format of the input data are considered. The modeling is done using the DIGITS environment. T...
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| Datum: | 2021 |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | Ukrainian |
| Veröffentlicht: |
Vinnytsia National Technical University
2021
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| Schlagworte: | |
| Online Zugang: | https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/564 |
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| Назва журналу: | Optoelectronic Information-Power Technologies |
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Optoelectronic Information-Power Technologies| Zusammenfassung: | An overview of the architecture of the DetectNet neural network was conducted to study the model of detection and classification of traffic objects. In this case, the structure of the neural network and the format of the input data are considered. The modeling is done using the DIGITS environment. The quality of the model was tested on the image validation dataset KITTI. The results of studying the model of the neural network are presented. The results obtained compared with existing ones. |
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