Marine Proximity Sensor Zone Filtering
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Solution Overview
Problem
Existing proximity sensing systems for marine vessels generate large amounts of data impractical for embedded controllers and bandwidth-limited networks, and previous data filtering methods are insufficient for autonomous or semi-autonomous vehicle control architectures.
Innovation Solution
A zone-based filtering method that divides the area surrounding the marine vessel into multiple zones, prioritizing and filtering proximity measurement data by selecting the closest measurement in each zone, reducing data points to a manageable number suitable for embedded controllers and existing marine vessel control networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all proximity measurement data from multiple sensors is processed, then complete proximity information is obtained, but data volume becomes too large for embedded controllers and bandwidth-limited networks
Solution Approach 1:
The area surrounding the marine vessel is divided into multiple zones, and proximity measurements are grouped into zone sets. This segmentation allows the system to process data in manageable chunks by selecting only the closest measurement within each zone, rather than processing all measurements from all sensors. This reduces the overall data volume while maintaining essential proximity information for each directional sector.
2Quantity of substance
If data filtering is applied to reduce data volume, then processing becomes feasible on embedded controllers, but essential proximity information may be lost
Solution Approach 1:
The filtering approach applies different selection criteria to different zones based on their local characteristics. Within each zone set, the system identifies and retains the closest proximity measurement, which is the most critical data point for that particular directional sector. This local quality approach ensures that essential proximity information is preserved in each zone while reducing overall data volume, as each zone contributes only its most relevant measurement.
Data Source
AI summary
A method of proximity sensing on a marine vessel includes storing at least one zone map, wherein the zone map divides an area surrounding the marine vessel into two or more zones. Proximity measurements measured by one or more proximity sensors on the marine vessel are received, and the proximity measurements are then divided into zone sets based on a location of each proximity measurement with respect to the zone map. A closest proximity measurement in each zone set is then identified and a zone-filtered dataset is generated. The zone-filtered dataset contains only the closest proximity measurement from each zone set.