机译:一种基于AIS数据的船舶轨迹预测的新型MP-LSTM方法
Xi An Jiao Tong Univ Key Lab Educ Minist Modern Design & Rotor Bearing Xian 710049 Shaanxi Peoples R China;
Xi An Jiao Tong Univ Key Lab Educ Minist Modern Design & Rotor Bearing Xian 710049 Shaanxi Peoples R China;
Wuhan Univ Technol Intelligent Transportat Syst Res Ctr Wuhan 430063 Hubei Peoples R China;
Wuhan Univ Technol Intelligent Transportat Syst Res Ctr Wuhan 430063 Hubei Peoples R China;
Xi An Jiao Tong Univ Key Lab Educ Minist Modern Design & Rotor Bearing Xian 710049 Shaanxi Peoples R China;
Xi An Jiao Tong Univ Key Lab Educ Minist Modern Design & Rotor Bearing Xian 710049 Shaanxi Peoples R China;
Trajectory prediction; Multi-step prediction; AIS data; LSTM; Neural network;
机译:通过数据质量控制和预测从AIS感官数据船舶轨迹重建
机译:船舶轨迹清洁和预测使用合奏安框架与历史AIS数据
机译:利用AIS数据恢复内河船舶航迹的新方法
机译:一种利用原始AIS数据重建舰船航迹的新方法
机译:基于AIS数据的船舶旅行时间及其延迟研究 - 以休斯顿船舶渠道为例
机译:基于轨迹的渔船架构与AIS数据进行分类
机译:通过数据质量控制和预测从AIS感官数据船舶轨迹重建