Vessel Avoidance Detection via Grid-Based Angular Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing navigation systems face challenges in accurately detecting dangerous sites with high collision risk, particularly in areas where vessels are navigating without specified sea routes, leading to erroneous detection of avoidance behaviors.
Innovation Solution
A computer-readable medium and device that calculates the angle of approach and exit for each grid a vessel passes through, extracts grids based on determining conditions, and determines avoidance behaviors by analyzing relative distances between vessels, using AIS information and grid-based tracking data to accurately identify collision avoidance maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If risk determination is performed based on relative distance between vessels, then collision risk can be assessed, but dangerous sites cannot be detected with high accuracy due to erroneous detection of avoidance behaviors
Solution Approach 1:
The patent divides the navigation area into multiple grids and analyzes vessel tracks grid by grid. By segmenting the continuous track into discrete grid passages, the system can evaluate avoidance behavior at each grid level using angle of approach and angle of exit, improving detection accuracy while reducing false positives from normal navigation maneuvers.
Solution Approach 2:
The patent introduces angular dimensions (angle of approach and angle of exit) to the traditional distance-based risk assessment. By adding these angular parameters to the evaluation, the system can distinguish between avoidance behaviors and normal navigation maneuvers more effectively, resolving the contradiction between detection accuracy and reliability.
2Area of stationary object
If navigation is monitored in areas without specified sea routes, then more comprehensive safety coverage is achieved, but it becomes difficult to determine whether vessel turns are avoidance behaviors or normal navigation
Solution Approach 1:
The patent changes the evaluation parameters from route-based assessment to grid-based angular assessment. By using angle of approach and angle of exit relative to grid boundaries, the system can objectively evaluate avoidance behavior in areas without specified sea routes, expanding coverage while maintaining detection capability.
3Productivity
If traditional risk determination methods are used in port areas with mixed traffic patterns, then navigation can be monitored, but course changes for entering piers are erroneously detected as avoidance behaviors
Solution Approach 1:
By segmenting the port area into grids and analyzing each grid independently with angular parameters, the system can identify normal pier-entry patterns as distinct from avoidance behaviors, maintaining monitoring efficiency while improving identification accuracy in complex port environments.
Data Source
AI summary
A non-transitory computer-readable recording medium stores therein a program that causes a computer to execute a process. The process includes calculating, for each of a plurality of grids through which a track of a specific vessel passes, an angle of approach and an angle of exit of the track, respectively; extracting a grid for which the angle of approach and the angle of exit conform to a determining condition set for each of the grids based on the determining condition; and determining whether the specific vessel has taken an avoidance behavior based on a relative distance from another vessel corresponding to a position of the specific vessel in a track in the extracted grid.