Assisted Navigation System Context-Dependent Hazard Charting
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Solution Overview
Problem
Current marine navigation systems face challenges in accurately detecting navigational hazards and providing timely warnings, particularly due to issues like tide height, collision clutter, context awareness, sensor auto-calibration, and chart decluttering, which can lead to overwhelming pilots with irrelevant data and increase the risk of accidents.
Innovation Solution
An assisted navigation system that utilizes a plurality of sensors to determine navigational hazards, processes data to assess the operational context of a mobile structure, generates context-dependent navigational charts, and updates them in real-time, incorporating sensor fusion and automatic calibration to provide clear and timely alerts through a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional marine navigation systems display all detected navigational hazards, then completeness of hazard information is improved, but information clutter and pilot overload increase
Solution Approach 1:
The system applies different levels of information filtering and presentation based on the operational context. In high-risk areas or conditions, more comprehensive hazard information is displayed, while in safer conditions, the display is decluttered. This contextual adaptation allows the system to maintain information completeness when needed while reducing pilot workload during normal operations.
Solution Approach 2:
The navigational chart and hazard display are dynamically adjusted based on real-time sensor data and operational context. The system automatically updates the level of detail shown, transitioning between cluttered and decluttered views as conditions change, rather than maintaining a static display level throughout operation.
2Measurement precision
If sensor data processing is enhanced to improve hazard detection accuracy, then detection precision is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary processing and filtering of sensor data before full analysis. By pre-processing data to identify potential hazards and their confidence levels, the system reduces the computational burden on subsequent processing stages while maintaining high detection accuracy for confirmed hazards.
Solution Approach 2:
The system introduces an operational context layer as an intermediary between raw sensor data and hazard display. This context layer integrates multiple sensor inputs and environmental factors to produce a unified interpretation of navigational conditions, simplifying the overall system architecture while improving detection reliability.
Data Source
AI summary
Techniques are disclosed for systems and methods to provide assisted navigation based on surrounding threats. In one example, an assisted navigation system receives data from a plurality of sensors associated with a mobile structure. The assisted navigation system determines a plurality of navigational hazards disposed within a monitored area associated with the mobile structure. The assisted navigation system processes the data and/or the navigational hazards to determine an operational context of the mobile structure. The assisted navigation system generates a context-dependent navigational chart for the mobile structure, wherein the navigational chart comprises greater or fewer of the navigational hazards in response to the determined operational context. The assisted navigation system updates the navigational chart in response to changes in the data. Additional systems and methods are provided.