Long-Term Trajectory Prediction Model Based on Transformer

Recurrent neural network models have problems such as memory loss and gradient disappearance when dealing with long time series data. This paper proposes a long-term trajectory prediction model based on Transformer to process long-term sequence information. Firstly, the position encoding is used to...

Full description

Bibliographic Details
Main Authors: Qiang Tong, Jinqing Hu, Yuli Chen, Dongdong Guo, Xiulei Liu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10363205/