Development of the Detecting System of the Landmark Tags to Increase the Navigation Accuracy of an Unmanned Vehicle in a Known Location
| Autor: | Pavel Belyaev, Anton Spivak, Evgenii Neverov |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 29, Iss 1, Pp 36-41 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2305-7254 2343-0737 |
| DOI: | 10.23919/FRUCT52173.2021.9435505 |
| Popis: | This paper proposes the landmark detection system for use in unmanned vehicle based on NVIDIA Jetson embedded device. The paper describes the synthetic dataset generation and training YOLOv4 neural network using data augmentation and transfer learning techniques to detect the landmark in incomplete data conditions. The real-time landmark detection module was implemented on the NVIDIA Jetson Xavier. The final mean average precision was resulted as 83.8% |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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