Target Ship Recognition and Tracking with Data Fusion Based on Bi-YOLO and OC-SORT Algorithms for Enhancing Ship Navigation Assistance
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| Yayımlandı: | Journal of Marine Science and Engineering vol. 13, no. 2 (2025), p. 366 |
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| Yazar: | |
| Diğer Yazarlar: | , , , |
| Baskı/Yayın Bilgisi: |
MDPI AG
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| Konular: | |
| Online Erişim: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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|---|---|---|---|
| 001 | 3171121206 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2077-1312 | ||
| 024 | 7 | |a 10.3390/jmse13020366 |2 doi | |
| 035 | |a 3171121206 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231479 |2 nlm | ||
| 100 | 1 | |a Chen, Shuai | |
| 245 | 1 | |a Target Ship Recognition and Tracking with Data Fusion Based on Bi-YOLO and OC-SORT Algorithms for Enhancing Ship Navigation Assistance | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a With the ever-increasing volume of maritime traffic, the risks of ship navigation are becoming more significant, making the use of advanced multi-source perception strategies and AI technologies indispensable for obtaining information about ship navigation status. In this paper, first, the ship tracking system was optimized using the Bi-YOLO network based on the C2f_BiFormer module and the OC-SORT algorithms. Second, to extract the visual trajectory of the target ship without a reference object, an absolute position estimation method based on binocular stereo vision attitude information was proposed. Then, a perception data fusion framework based on ship spatio-temporal trajectory features (ST-TF) was proposed to match GPS-based ship information with corresponding visual target information. Finally, AR technology was integrated to fuse multi-source perceptual information into the real-world navigation view. Experimental results demonstrate that the proposed method achieves a mAP0.5:0.95 of 79.6% under challenging scenarios such as low resolution, noise interference, and low-light conditions. Moreover, in the presence of the nonlinear motion of the own ship, the average relative position error of target ship visual measurements is maintained below 8%, achieving accurate absolute position estimation without reference objects. Compared to existing navigation assistance, the AR-based navigation assistance system, which utilizes ship ST-TF-based perception data fusion mechanism, enhances ship traffic situational awareness and provides reliable decision-making support to further ensure the safety of ship navigation. | |
| 653 | |a Navigation | ||
| 653 | |a Accuracy | ||
| 653 | |a Datasets | ||
| 653 | |a Algorithms | ||
| 653 | |a Binocular vision | ||
| 653 | |a Tracking systems | ||
| 653 | |a Data integration | ||
| 653 | |a Navigation systems | ||
| 653 | |a Tracking | ||
| 653 | |a Localization | ||
| 653 | |a Global positioning systems--GPS | ||
| 653 | |a Sorting algorithms | ||
| 653 | |a Ship accidents & safety | ||
| 653 | |a Efficiency | ||
| 653 | |a Position measurement | ||
| 653 | |a Cameras | ||
| 653 | |a Remote sensing | ||
| 653 | |a Perceptions | ||
| 653 | |a Maritime industry | ||
| 653 | |a Trajectories | ||
| 653 | |a Sensors | ||
| 653 | |a Decision making | ||
| 653 | |a Situational awareness | ||
| 653 | |a Perception | ||
| 653 | |a Object recognition | ||
| 653 | |a Shipping industry | ||
| 653 | |a Position errors | ||
| 653 | |a Economic | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Gao, Miao | |
| 700 | 1 | |a Shi, Peiru | |
| 700 | 1 | |a Zeng, Xi | |
| 700 | 1 | |a Zhang, Anmin | |
| 773 | 0 | |t Journal of Marine Science and Engineering |g vol. 13, no. 2 (2025), p. 366 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3171121206/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3171121206/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3171121206/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |