舰船电子工程2024，Vol.44Issue(6)：36-40,92,6.DOI:10.3969/j.issn.1672-9730.2024.06.008
基于Transformer的海上船舶轨迹预测方法
Marine Ship Trajectory Prediction Method Based on Transformer
摘要
Abstract
The trajectory prediction of marine ship has an important application prospect in the safe operation and marine su-pervision.Aiming at the problem of ship trajectory prediction,this paper proposes Transformer based marine ship trajectory predic-tion method.First,the trajectory data is preprocessed to eliminate the mooring points and abnormal points,and then the trajectory resampling technology is used to achieve the equal time interval sampling of the trajectory,so as to reduce the impact of time series characteristics on trajectory prediction.Then,drawing on the concept space subdivision of GeoHash technology,this paper divides longitude and latitude equally,and then converts it into high-dimensional embedded space by equidistant segmentation of longitude and latitude and one pot representation.Finally,the Transformer technology is used to predict the trajectory.The results show that compared with RNN,LSTM and Kalman filtering methods,the method in this paper has a greater performance improvement in 30 min and 60 min trajectory prediction accuracy.关键词
Transformer/船舶轨迹预测/数据编码/特征提取Key words
Transformer/ship trajectory prediction/data encoding/feature extraction分类
信息技术与安全科学引用本文复制引用
古英汉,王峰..基于Transformer的海上船舶轨迹预测方法[J].舰船电子工程,2024,44(6):36-40,92,6.
