Design of LiDAR identification algorithm for ship collision risk in foggy weather
The foggy weather significantly reduces the visibility,which makes the lidar signal severely disturbed,and it is difficult to accurately extract the ship signal.At the same time,the dynamic change of ship leads to the difficulty of bound-ary identification,resulting in the low accuracy of ship collision risk identification.Therefore,the design of liDAR identifica-tion algorithm for ship collision risk in foggy weather is proposed.In foggy weather conditions,the laser radar signal is pre-processed to obtain high-precision ship signals,and the ship signal data is obtained by boundary calculation based on the size information to obtain ship boundary data and approach speed,which is used as the identification index of ship collision risk.According to the membership function and risk identification index,the judgment matrix is established,and the collision risk level is obtained through the quantification,normalization and defuzzification of collision risk.Identify the risk level of the target ship throughout the voyage based on the average collision risk.Experimental results show that the algorithm has high accuracy and strong overall performance for ship collision risk identification.
foggy conditionsrisk of ship collisionlaser radarrisk identification indicatorscollision risk
NETL
NSTL
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