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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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Publicado en:Journal of Marine Science and Engineering vol. 13, no. 2 (2025), p. 366
Autor principal: Chen, Shuai
Otros Autores: Gao, Miao, Shi, Peiru, Zeng, Xi, Zhang, Anmin
Publicado:
MDPI AG
Materias:
Navigation
Accuracy
Datasets
Algorithms
Binocular vision
Tracking systems
Data integration
Navigation systems
Tracking
Localization
Global positioning systems > GPS
Sorting algorithms
Ship accidents & safety
Efficiency
Position measurement
Cameras
Remote sensing
Perceptions
Maritime industry
Trajectories
Sensors
Decision making
Situational awareness
Perception
Object recognition
Shipping industry
Position errors
Economic
Environmental
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Resumen: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.
ISSN:2077-1312
DOI:10.3390/jmse13020366
Fuente:Engineering Database