Chengbo Wang
Orcid: 0000-0003-0535-1769Affiliations:
- University of Science and Technology of China, Department of Automation, Hefei, China
- Liverpool John Moores University, Liverpool Logistics, Offshore and Marine Research Institute (LOOM), Liverpool, UK
- Dalian Maritime University, Navigation College, Key Laboratory of Marine Simulation and Control, Dalian, China
According to our database1,
Chengbo Wang
authored at least 15 papers
between 2018 and 2025.
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Bibliography
2025
A Spatial-Temporal Predictive Transformer Network for Level-3 Autonomous Vehicle Decision-Making.
IEEE Trans. Neural Networks Learn. Syst., July, 2025
A novel deep reinforcement learning for POMDP-based autonomous ship collision decision-making.
Neural Comput. Appl., July, 2025
Adaptive-Neural Finite-Time Sliding Mode Control for Quadrotor Helicopter Attitude Stabilization in Complex Environments.
IEEE Trans. Aerosp. Electron. Syst., February, 2025
Optimization of integrated accurate ride-tide planning and vessel scheduling in multi-functional ports with long channels.
Expert Syst. Appl., 2025
2024
An approach for traffic pattern recognition integration of ship AIS data and port geospatial features.
Geo spatial Inf. Sci., November, 2024
Knowledge transfer enabled reinforcement learning for efficient and safe autonomous ship collision avoidance.
Int. J. Mach. Learn. Cybern., September, 2024
COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making.
Knowl. Based Syst., 2024
An improved hierarchical deep reinforcement learning algorithm for multi-intelligent vehicle lane change.
Neurocomputing, 2024
Robust optimization for a class of ship traffic scheduling problem with uncertain arrival and departure times.
Eng. Appl. Artif. Intell., 2024
A machine learning-based adaptive heuristic for vessel scheduling problem under uncertainty via chance-constrained programming.
Comput. Electr. Eng., 2024
Car-following strategy of intelligent connected vehicle using extended disturbance observer adjusted by reinforcement learning.
CAAI Trans. Intell. Technol., 2024
2021
A Real-Time Collision Avoidance Framework of MASS Based on B-Spline and Optimal Decoupling Control.
Sensors, 2021
2019
Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning.
Sensors, 2019
Research on intelligent collision avoidance decision-making of unmanned ship in unknown environments.
Evol. Syst., 2019
2018
Path Planning of Maritime Autonomous Surface Ships in Unknown Environment with Reinforcement Learning.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018