Integrated Electronic Chart Routing With Sensor Fusion Grids
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Solution Overview
Problem
Existing navigation systems on large and small ships face inefficiencies due to separate display of sensor data from AIS, radar, and electronic charts, leading to user confusion and reduced accuracy in narrow waterways, with insufficient computing resources and irrelevant data causing navigation challenges.
Innovation Solution
An integrated electronic chart is generated by combining multiple charts with the largest scale in overlapping areas, divided into a configurable grid using a quadtree, and sensor data is fused to improve accuracy and reduce computing resources, with collision risks calculated based on probability and obstacle filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data from each sensor (AIS, radar, electronic chart) is displayed separately on multiple screens, then each sensor data can be shown in detail, but user confusion increases and navigation accuracy decreases
Solution Approach 1:
The patent merges data from multiple sensors (AIS, radar, electronic chart) and integrates them into a single unified display interface. This consolidation eliminates duplicate information and provides a comprehensive view of the navigation environment, thereby improving navigation accuracy while maintaining interface clarity through systematic data integration.
2Reliability
If data from radar sensor and electronic chart is used without separate preprocessing, then all available data can be utilized for route determination, but computing device resources become insufficient
Solution Approach 1:
The patent applies preprocessing operations to radar and electronic chart data before they are used for route determination. This preliminary processing filters out irrelevant information and prepares the data in an optimized format, enabling accurate route determination while reducing the computational resources required during the main navigation processing.
Solution Approach 2:
The patent extracts and removes meaningless object information from radar data and unnecessary information from electronic charts through filtering operations. This extraction of relevant information from the raw data reduces the data volume that needs to be processed, thereby conserving computing device resources while maintaining route determination accuracy.
3Ease of manufacture
If electronic chart data is used as is from pre-configured DB format, then implementation is simple, but accuracy is significantly lower in narrow waterways or berthing areas
Solution Approach 1:
The patent applies different processing and integration strategies to different regions of the electronic chart data. In narrow waterways and berthing areas where higher accuracy is needed, the system integrates additional sensor data and applies more rigorous preprocessing. In open areas, the simpler pre-configured DB format can be used as is, thus maintaining implementation simplicity while improving accuracy where it matters most.
Data Source
AI summary
The present disclosure relates to a method and a device generating a navigational route using an integrated electronic chart, which includes receiving a plurality of electronic charts with different scales; extracting at least one overlapping area of the plurality of electronic charts; integrating the plurality of electronic charts into the integrated electronic chart; dividing the integrated electronic chart into a configurable grid; generating an initial route using first object information in the configurable grid; mapping second object information detected by a sensing device onto the integrated electronic chart; and resetting the initial route using the second object information. According to the method and device of the present disclosure, the integrated electronic chart allows for efficient use of computing resources. Overall route calculation time and memory usage is reduced, and each area is accurately expressed.


