Communication-Aware Motion Planning of AUV in Obstacle-Dense Environment: A Binocular Vision-Based Deep Learning Method-Reference-Cited by-同舟云学术

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Communication-Aware Motion Planning of AUV in Obstacle-Dense Environment: A Binocular Vision-Based Deep Learning Method

Published:2023-12 Issue:12 Volume:24 Page:14927-14943
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Yan Jing¹^ORCID,Zhang Liang¹,Yang Xian²^ORCID,Chen Cailian³^ORCID,Guan Xinping³^ORCID

Affiliation:

1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China

2. Institute of Information Science and Engineering, Yanshan University, Qinhuangdao, China

3. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Youth Talent Program of Hebei

Distinguished Young Foundation of Hebei Province

Excellent Youth Project for NSF of Hebei Province

Central Guidance Local Foundation of Hebei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10339106/10194474.pdf?arnumber=10194474

Reference44 articles.

1. Binocular-Vision-Based Obstacle Avoidance Design and Experiments Verification for Underwater Quadrocopter Vehicle

2. Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning

3. A Bio-Inspired Simultaneous Surface and Underwater Risk Assessment Method Based on Stereo Vision for USVs in Nearshore Clean Waters

4. Integrated Localization and Tracking for AUV With Model Uncertainties via Scalable Sampling-Based Reinforcement Learning Approach

5. Acoustic speckle: Theory and experimental analysis

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1. EPPE: An Efficient Progressive Policy Enhancement framework of deep reinforcement learning in path planning;Neurocomputing;2024-09

2. Cooperative motion planning and control of a group of autonomous underwater vehicles using twin-delayed deep deterministic policy gradient;Applied Ocean Research;2024-06

3. Vol and Energy-Aware AUV-Assisted Data Collection for Internet of Underwater Things;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

4. Lightweight Joint Source-Channel Coding for Underwater Image Transmission and Enhancement;2024

5. Co-Design of Underwater Detection and Communication-Part II: Communication-Based Shared Waveform;2023 6th International Conference on Intelligent Autonomous Systems (ICoIAS);2023-09-22

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