Survey on Deep Learning‐Based Marine Object Detection R Zhang, S Li, G Ji, X Zhao, J Li, M Pan Journal of Advanced Transportation 2021 (1), 5808206, 2021 | 30 | 2021 |
Constructing a decision-support system for safe ship-navigation using a Bayesian network R Zhang, M Furusho Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk …, 2016 | 14 | 2016 |
Conversion timing of seafarer's decision-making for unmanned ship navigation R Zhang, M Furusho TransNav, International Journal on Marine Navigation and Safety od Sea …, 2017 | 8 | 2017 |
Risk Perception Oriented Autonomous Ship Navigation in AIS Environment R Zhang, M Furusho International Conference on Offshore Mechanics and Arctic Engineering 84317 …, 2020 | 2 | 2020 |
Developing Generative Adversarial Nets to Extend Training Sets and Optimize Discrete Actions RL Zhang, M Furusho TransNav: International Journal on Marine Navigation and Safety of Sea …, 2019 | 2 | 2019 |
Using the CGAN Model Extend Encounter Targets Image Training Set. R Zhang, M Furusho VEHITS, 327-332, 2019 | 2 | 2019 |
Constructing an Autonomous Decision Approach in a Real AIS Environment Using Deep Reinforcement Learning R ZHANG, M FURUSHO NAVIGATION 211, 37-38, 2020 | 1 | 2020 |
Efficient Resource Allocation for Offshore Intelligent Navigational Aids Using Deep Reinforcement Learning R Zhang, C Zhao, M Pan ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-24-036, 2024 | | 2024 |
Semi-dynamic spatial–temporal graph neural network for traffic state prediction in waterways L Li, M Pan, Z Liu, H Sun, R Zhang Ocean Engineering 293, 116685, 2024 | | 2024 |
Semantics analysis model based on deep learning for vessel traffic service application X Han, M Pan, Z Liu, H Meng, H Sun, R Zhang IET Intelligent Transport Systems 17 (10), 2089-2102, 2023 | | 2023 |
Maritime low-light image enhancement study based on improved ResUnet J Wang, M Pan, R Zhang, Z Liu, S Li Proceedings of the 2023 6th International Conference on Signal Processing …, 2023 | | 2023 |
Real-time route planning of inland water network based on Deep Q_Network Y Dai, M Pan, R Zhang, Z Cui Proceedings of the 2022 5th International Conference on Signal Processing …, 2022 | | 2022 |
Diversified assessment benchmark of vision dataset-based perception in ship navigation scenario R Zhang, X Ji, M Pan Proceedings of the 2022 5th International Conference on Signal Processing …, 2022 | | 2022 |
Developing Decision-Making Algorithm for Unmanned Vessel Navigation Using Markov Processes MF Ruolan Zhang Maritime Safety International Conference (MASTIC 2018), 2019 | | 2019 |
Automatically Replanning Navigation Route by Using Conditional Generative Adversarial Networks R ZHANG, M FURUSHO NAVIGATION 207, 28-29, 2019 | | 2019 |
Application of a Document-Oriented NoSQL Database in AIS Data Managing H LIU, M FURUSHO, X GAO, R ZHANG NAVIGATION 207, 36-37, 2019 | | 2019 |
Using the Scene Generated by the GAN Model to Improve the DQN Based Unmanned Ship Decision-Making Algorithm MF Ruolan Zhang European journal of navigation 16 (3), 12-17, 2018 | | 2018 |
Using a Markov Processes Approach Unmanned Vessel Decision Model R ZHANG, M FURUSHO 日本航海学会誌 NAVIGATION 203, 66-67, 2018 | | 2018 |
Optimizing Decision Making for Safe Navigation Using a Robot Operating System R ZHANG, M FURUSHO 日本航海学会誌 NAVIGATION 199, 13-14, 2017 | | 2017 |
A Predetermination Decision-Making System for Automated Ship Navigation and Collision Avoidance (Asia Navigation Conference 2015) R ZHANG, M FURUSHO, X GAO NAVIGATION 195, 84, 2016 | | 2016 |