适配船舶的多元融合感知智能电子海图实现方法、电子设备及船载系统
By identifying sea state scenarios, calculating dynamic weights, and using adaptive Kalman filtering, the problem of insufficient accuracy in the fusion of multi-source perception data for ships under complex sea conditions was solved, enabling real-time perception and chart calibration, and improving the perception accuracy and autonomous navigation capabilities of ships.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGNAN SHIPYARD (GRP) CO LTD
- Filing Date
- 2026-06-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack sufficient accuracy in fusing multi-source sensing data from ships under complex sea conditions, have weak environmental adaptability, and poor real-time dynamic calibration with electronic charts, thus failing to meet the needs of autonomous navigation.
By identifying the current sea state scenario, determining the baseline weights of the sensors, performing multi-source data preprocessing and spatiotemporal registration, calculating dynamic weights based on quality indicators, and using an adaptive Kalman filter for data filtering and state estimation, the system achieves real-time calibration and correlation between the perceived target and the electronic nautical chart, thus forming an enhanced intelligent electronic nautical chart.
It significantly improves the accuracy and robustness of perception in complex environments, realizes a closed loop of online real-time calibration between perception and nautical charts, and enhances the ship's all-weather operation capability and the timeliness of autonomous decision-making.
Smart Images
Figure CN122408798A_ABST