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Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Di...

Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Di...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8534c25138244cdb08ca9b6864c5e56

Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning

About this item

Full title

Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2019-09, Vol.19 (18), p.4055

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This research focuses on the adaptive navigation of maritime autonomous surface ships (MASSs) in an uncertain environment. To achieve intelligent obstacle avoidance of MASSs in a port, an autonomous navigation decision-making model based on hierarchical deep reinforcement learning is proposed. The model is mainly composed of two layers: the scene d...

Alternative Titles

Full title

Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f8534c25138244cdb08ca9b6864c5e56

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f8534c25138244cdb08ca9b6864c5e56

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s19184055

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