Ship-Collision Avoidance Decision-Making Learning of Unmanned Surface Vehicles with Automatic Identification System Data Based on Encoder—Decoder Automatic-Response Neural Networks

Ship-Collision Avoidance Decision-Making Learning of Unmanned Surface Vehicles with Automatic Identification System Data Based on Encoder—Decoder Automatic-Response Neural Networks

Intelligent unmanned surface vehicle (USV) collision avoidance is a complex inference problem based on current navigation status. This requires simultaneous processing of the input sequences and generation of the response sequences. The automatic identification system (AIS) encounter data mainly inc...

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Bibliographic Details
Main Authors: Miao Gao, Guo-You Shi
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Journal of Marine Science and Engineering
Subjects:
ship-collision avoidance
decision-making learning
USV
AIS
encoder–decoder
automatic-response neural networks
Online Access:https://www.mdpi.com/2077-1312/8/10/754

Internet

https://www.mdpi.com/2077-1312/8/10/754

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