Unmanned surface vessel obstacle avoidance with prior knowledge‐based reward shaping-Reference-Cited by-同舟云学术

Unmanned surface vessel obstacle avoidance with prior knowledge‐based reward shaping

Published:2020-12-29 Issue:9 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Wang Wei¹^ORCID,Luo Xiangfeng¹,Li Yang¹,Xie Shaorong¹

Affiliation:

1. School of Computer Engineering and Science Shanghai University Shanghai China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6110

Reference35 articles.

1. Unmanned surface vehicles‐game changing technology for naval operations;Corfield SJ;IEE Control Eng Ser,2006

2. Modelling, simulation and control of an autonomous surface marine vehicle for surveying applications measuring dolphin MESSIN;Majohr J;IEE Control Eng Ser,2006

3. NaeemW SuttonR ChudleyJ. Modelling and control of an unmanned surface vehicle for environmental monitoring. Paper presented at: Proceedings of the UKACC International Control Conference Glasgow Scotland;2006:1‐6.

4. Methods to assign the safe manoeuvre and trajectory avoiding collision at sea;Lisowski J;WIT Trans Built Environ,1970

5. Ship Collision Avoidance and COLREGS Compliance Using Simulation-Based Control Behavior Selection With Predictive Hazard Assessment

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A partially observable multi-ship collision avoidance decision-making model based on deep reinforcement learning;Ocean & Coastal Management;2023-08

2. Unmanned surface vehicle navigation through generative adversarial imitation learning;Ocean Engineering;2023-08

3. Multi-objective reward shaping for global and local trajectory planning of wing-in-ground crafts based on deep reinforcement learning;The Aeronautical Journal;2023-06-14

4. Iterative reward shaping for non-overshooting altitude control of a wing-in-ground craft based on deep reinforcement learning;Robotics and Autonomous Systems;2023-05

5. Collision avoidance control for unmanned surface vehicle with COLREGs compliance;Ocean Engineering;2023-01