GC-MT: A Novel Vessel Trajectory Sequence Prediction Method for Marine Regions
In complex marine environments, intelligent vessels require a high level of dynamic perception to process multiple types of information for mitigating collision risks. To ensure the safety of maritime traffic and enhance the efficiency of navigation information, vessel trajectory prediction is cruci...
Saved in:
| Main Authors: | Haixiong Ye, Wei Wang, Xiliang Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/16/4/311 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting trajectories of coastal area vessels with a lightweight Slice-Diff self attention
by: Jinxu Zhang, et al.
Published: (2025-04-01) -
AIS-Based Vessel Trajectory Compression: A Systematic Review and Software Development
by: Ryan Wen Liu, et al.
Published: (2024-01-01) -
Vessel Trajectory Prediction Method Based on the Time Series Data Fusion Model
by: Xinyun WU, et al.
Published: (2024-12-01) -
Trading Community Analysis of Countries’ Roll-On/Roll-Off Shipping Networks Using Fine-Grained Vessel Trajectory Data
by: Shichen Huang, et al.
Published: (2024-11-01) -
Vessel Type Recognition Using a Multi-Graph Fusion Method Integrating Vessel Trajectory Sequence and Dependency Relations
by: Lin Ye, et al.
Published: (2024-12-01)