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此文档用于解释航迹预测程序的执行流程

此程序基于循环神经网络（GRU和LSTM）从历史航迹数据中学习运动模式并用于预测未知的航迹， 程序的输入为固定长度的历史轨迹点序列（由初始航迹通过滑窗得到）， 经过一层GRU和两层LSTM以及一层全连接层后得到预测输出， 输出结果为下一时间间隔（考虑的 ...
GitHub

Our framework is developed based on a laptop, and the specific configuration is as follows:

It should be noted that our program must be reproduced under the Ubuntu 20.04 operating system, and we strongly recommend using GPU for training. The flow folder is the root directory of the library ...