| dc.contributor.author | Guo, Zhihan | ru |
| dc.coverage.spatial | Минск | ru |
| dc.date.accessioned | 2023-01-26T06:05:38Z | |
| dc.date.available | 2023-01-26T06:05:38Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Guo, Zhihan. 基于深度学习算法的水下机器人自主识别与作业技术 / Zhihan Guo // Новые горизонты - 2022 : сборник материалов IX Белорусско-Китайского молодежного инновационного форума, 10-11 ноября 2022 года / Белорусский национальный технический университет. – Минск : БНТУ, 2022. – Т. 2. – С. 276-278. | ru |
| dc.identifier.uri | https://rep.bntu.by/handle/data/125656 | |
| dc.description.abstract | Based on the depth learning algorithm, this paper conducts research on key technologies such as underwater image preprocessing, underwater target autonomous detection and recognition, and underwater single target tracking and detection, and builds a system prototype to verify the effectiveness of the algorithm in the real marine environment. | ru |
| dc.language.iso | en | ru |
| dc.publisher | БНТУ | ru |
| dc.title | 基于深度学习算法的水下机器人自主识别与作业技术 | ru |
| dc.type | Working Paper | ru |
