A ship collision avoidance identification and path planning method and system based on ship-shore cooperation

By constructing a ship-shore collaborative data network, integrating multi-source data, and utilizing video calibration positioning and maneuvering models to predict trajectories, the problem of insufficient intelligence in existing ship collision avoidance systems has been solved. This has enabled accurate collision risk identification and safe collision avoidance path planning, thereby improving navigation safety and efficiency.

CN122176962BActive Publication Date: 2026-09-15CCCC FHDI ENG +1
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Patent Information

Application Number
CN202610304457.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-03-13
Publication Date
2026-09-15
Estimated Expiration
2046-03-13

AI Technical Summary

Technical Problem

In existing technologies, ship collision avoidance systems lack intelligent path planning algorithms, making it impossible to achieve two-way real-time interaction and fusion of ship and shore data. This results in inaccurate collision risk identification, non-compliant path planning, a lack of closed-loop optimization mechanisms, and insufficient safety and efficiency in navigation in complex waters.

Method used

A data network based on ship-shore collaboration is constructed, which integrates multi-source heterogeneous data through shipborne terminals, shore-based control centers and cloud platforms. Video data is used to calibrate positioning, and maneuvering models are combined to predict trajectories, calculate the probability of encounter and collision risk, and plan collision avoidance paths based on the A* algorithm.

Benefits of technology

It achieves high-precision prediction of ship position and future dynamics, identifies collision risks early, and generates compliant, safe, and globally optimal collision avoidance paths, thereby improving the safety and efficiency of navigation in complex waters.

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Abstract

The application discloses a ship-land cooperation-based ship collision avoidance identification and path planning method and system. A ship-land cooperation data network is constructed to obtain multi-source data such as ship navigation state, positioning and panoramic video. The video data is used to calibrate the positioning information, and a ship maneuvering model is combined to predict a future navigation track. According to the predicted track, the meeting probability, the nearest meeting distance and time between ships are calculated, and the collision risk is evaluated. When the risk exceeds a threshold value, the A* algorithm is used to plan an optimal collision avoidance path including a heading, a speed and a turning point based on the predicted track, the calibrated positioning, the risk value and safety constraints. The application realizes accurate perception of the collision risk and automatic generation of a safe collision avoidance path.
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