Ship Trajectory Prediction in Complex Waterways Based on Transformer and Social Variational Autoencoder (SocialVAE)
Ship trajectory prediction plays a key role in the early warning and safety of maritime traffic. It is a necessary assistant tool that can forecast a ship’s trajectory in a certain period to prevent ship collision. However, highly precise prediction of long-term ship trajectories is still a challeng...
Saved in:
| Main Authors: | Pengyue Wang, Mingyang Pan, Zongying Liu, Shaoxi Li, Yuanlong Chen, Yang Wei |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/12/12/2233 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Anytime Optimal Trajectory Repairing for Autonomous Vehicles
by: Kailin Tong, et al.
Published: (2025-01-01) -
Snake-inspired trajectory planning and control for confined pipeline inspection with hyper-redundant manipulators
by: Junjie Zhu, et al.
Published: (2025-09-01) -
Trajectory Optimization with Dynamic Drivable Corridor-Based Collision Avoidance
by: Weijie Wang, et al.
Published: (2025-06-01) -
A Unified Collision Avoidance Trajectory Planning with Dual Variables for Collaborative Aerial Transportation Systems
by: Yi Chai, et al.
Published: (2024-11-01) -
Research on Decision-Making Methods for Autonomous Navigation in Inland Tributary Waterways
by: Liwen Huang, et al.
Published: (2025-03-01)