Dynamic navigation: Integrating GL-STGCNN and MPC for collision avoidance with future Awareness-Reference-Cited by-同舟云学术

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Dynamic navigation: Integrating GL-STGCNN and MPC for collision avoidance with future Awareness

Published:2024-10 Issue: Volume:309 Page:118416
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Liao Weiqiang,Wu Yuegao^ORCID,Zhou Peilin,Wang Haibin^ORCID,Yu Wanneng,Zhang Changkun^ORCID,Chenghan Luo ^ORCID

Funder

National Natural Science Foundation of China

Fujian Provincial Natural Science Foundation

Publisher

Elsevier BV

Reference36 articles.

1. Social lstm: human trajectory prediction in crowded spaces[C];Alahi,2016

2. Modified artificial potential field method for online path planning applications[C];Bounini,2017

3. Autonomous collision avoidance at sea: a survey;Burmeister;Frontiers in Robotics and AI,2021

4. Pedestrian trajectory prediction via the Social‐Grid LSTM model;Cheng;J. Eng.,2018

5. Deep reinforcement learning-based collision avoidance for an autonomous ship;Chun;Ocean Engineering,2021

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