(2021) combined the TPNet framework and LSTM for multi-step ship trajectory prediction based on four types of navigation stages [27]. 2.2. Characteristics of Trajectory-Based and Motion-Based Methods As long-term vessel position predictions have not been performed yet, determining a suitable method...
QSD-LSTM: Vessel trajectory prediction using long short-term memory with quaternion ship domain. Appl. Ocean Res. 2023, 136, 103592. [Google Scholar] [CrossRef] Jiang, J.; Zuo, Y.; Xiao, Y.; Zhang, W.; Li, T. STMGF-Net: A Spatiotemporal Multi-Graph Fusion Network for Vessel ...
A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources. - GitHub - eugene254-ship-it/open-sustainable-technology: A curated list of open technology projects to sustain a stable climate,
A New Method of Inland Water Ship Trajectory Prediction Based on Long Short-Term Memory Network Optimized by Genetic Algorithm. Appl. Sci. 2022, 12, 4073. [Google Scholar] [CrossRef] Zheng, Y.; Li, L.; Qian, L.; Cheng, B.; Hou, W.; Zhuang, Y. Sine-SSA-BP Ship Trajectory ...
Figure 1.Architecture scheme. The code of the proposed architecture is publicly accessible at GitHub (https://github.com/DanielAmigo/trajectory-based-ship-classification). 3.1. Data Source The data source must be a set of kinematic information extracted from the measurements of one or more sensors...
Available online: https://github.com/ultralytics/ultralytics (accessed on 21 September 2023). Wang, C.-Y.; Bochkovskiy, A.; Liao, H.-Y.M. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. In Proceedings of the IEEE/CVF Conference on ...