Survey of Deep Learning for Autonomous Surface Vehicles in Marine Environments
Author:
Affiliation:
1. Intelligent Perception and Computing Research Center, School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
2. MIT Senseable City Laboratory, Cambridge, MA, USA
Funder
Funds of the National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10086684/10021250.pdf?arnumber=10021250
Reference220 articles.
1. Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions
2. State-of-the-Art Research on Motion Control of Maritime Autonomous Surface Ships
3. Using Deep Learning to Forecast Maritime Vessel Flows
4. Autonomous ships: a review, innovative applications and future maritime business models
5. Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation
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