This technology divides the underwater drone's travel path and vessel location data into multiple cells and applies a mathematical probability model (P=P1×P2×P3) to quantitatively calculate collision risks within a specific maritime area, subsequently planning and controlling safe travel paths based on these probability values.
When underwater drones remain at the surface to transmit data or travel, there is a constant risk of collision with vessels; however, there has been a lack of systematic operational strategies and path control technologies to quantitatively predict and avoid these incidents.
This technology divides the travel path into cells and calculates the total collision probability using a formula that combines vessel density per cell, the probability of drone positioning along vessel paths, and the probability of the drone's depth while at the surface. It then optimizes this data to control the drone's direction toward paths with lower collision risks and higher survival probabilities.
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