Ship Navigation Path Generation Using Visual-Semantic Aids
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Solution Overview
Problem
Existing ship navigation systems rely on satellite signals that can be disrupted, leading to inaccurate positioning and lack depth in environmental understanding, limiting navigation safety and efficiency, especially in complex conditions.
Innovation Solution
An intelligent ship navigation path generation method using a visual and spatial semantic enhancement model that identifies aids to navigation through deep neural networks, integrates semantic information, and calculates relative positions to determine navigable areas and potential dangers, adjusting navigation paths in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite navigation systems are used to provide precise navigation coordinates, then global positioning accuracy is improved, but the system becomes vulnerable to signal disruption and blocking
Solution Approach 1:
The patent introduces visual perception devices as an intermediary system to detect and identify aids to navigation. This mediator system processes images to extract position and semantic information, providing an alternative positioning method that does not rely on satellite signals, thus resolving the vulnerability to signal disruption while maintaining positioning accuracy
Solution Approach 2:
The patent changes the fundamental parameter of positioning from satellite-based coordinate detection to visual-based aid-to-navigation identification. By transforming the positioning mechanism from electromagnetic signal reliance to optical image processing, the system achieves both high positioning precision and improved reliability against signal interference
2Reliability
If visual perception devices are used to identify aids to navigation, then positioning robustness is improved, but the system lacks understanding of semantic information
Solution Approach 1:
The patent segments the visual information processing into distinct functional modules: one module extracts position information from image coordinates, while another module extracts semantic information (such as aid type, function, and navigational meaning). This segmentation allows the system to simultaneously achieve positioning robustness and semantic understanding without information loss
Solution Approach 2:
The patent adds a semantic dimension to the traditional positioning system. By extracting not only spatial coordinates but also semantic attributes of aids to navigation, the system transforms from a two-dimensional positioning function to a multi-dimensional information system that includes both positional and semantic data layers
3Device complexity
If traditional navigation systems are used, then system simplicity is maintained, but navigation performance in complex sea conditions is limited
Solution Approach 1:
The patent makes the visual perception system multi-functional by enabling it to perform both positioning and environmental understanding tasks. The same image processing framework that identifies aid locations also extracts semantic information about the surrounding environment, allowing a single system to handle multiple navigation functions in complex sea conditions without proportionally increasing complexity
Data Source
AI summary
Disclosed is an intelligent ship navigation path generation method based on visual and spatial semantic enhancement for an aid to navigation, including: identifying the aid to navigation around a ship and determining a current position of the ship; obtaining a navigable area of the ship based on semantic information of the aid to navigation; removing portions that overlap with high risk areas from the navigable area; selecting a next position of the ship from the navigable area; and repeating the above steps to make real-time corrections to the ship's navigation path.