Abstract
This work aims to develop a mobile robot utilizing neural network technology. The algorithm, programmed in Python on a Raspberry Pi 4B platform, is detailed across four main chapters. These chapters cover the fundamental assumptions of deep learning, the construction of the platform, and the research validating pattern recognition accuracy under various disturbances. The mobile platform employs a neural network to analyze selected traffic signs and translates the recognized patterns into corresponding motor movements.
| Original language | English |
|---|---|
| Pages (from-to) | 247-258 |
| Number of pages | 12 |
| Journal | Advances in Science and Technology Research Journal |
| Volume | 18 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2024 |
Keywords
- deep learning
- image
- mobile robot
- neural network
ASJC Scopus subject areas
- General Computer Science
- Materials Science (miscellaneous)
- Environmental Science (miscellaneous)
- General Engineering
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