123 citations · 149 across the 5 of their papers we have counts for
5 papers
Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation
Zhang Xiaocai, Xiao Zhe, Liang Maohan +3
Sustainability is becoming increasingly critical in the maritime transport, encompassing both environmental and social impacts, such as Greenhouse Gas (GHG) emissions and navigatio…
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation
Maohan Liang, Ryan Wen Liu, Ruobin Gao +3
Vessel trajectory clustering, a crucial component of the maritime intelligent transportation systems, provides valuable insights for applications such as anomaly detection and traj…
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art
Ruobin Gao, Maohan Liang, Heng Dong +2
This paper comprehensively reviews recent advances in underwater acoustic signal denoising, an area critical for improving the reliability and clarity of underwater communication a…
Exploring Key Factors for Long-Term Vessel Incident Risk Prediction
Tianyi Chen, Hua Wang, Yutong Cai +2
Factor analysis acts a pivotal role in enhancing maritime safety. Most previous studies conduct factor analysis within the framework of incident-related label prediction, where the…
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
Maohan Liang, Ryan Wen Liu, Shichen Li +3
To achieve reliable mining results for massive vessel trajectories, one of the most important challenges is how to efficiently compute the similarities between different vessel tra…