SIT: A Spatial Interaction-Aware Transformer-Based Model for Freeway Trajectory Prediction

SIT: A Spatial Interaction-Aware Transformer-Based Model for Freeway Trajectory Prediction

Trajectory prediction is one of the core functions of autonomous driving. Modeling spatial-aware interactions and temporal motion patterns for observed vehicles are critical for accurate trajectory prediction. Most recent works on trajectory prediction utilize recurrent neural networks (RNNs) to mod...

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Bibliographic Details
Main Authors: Xiaolong Li, Jing Xia, Xiaoyong Chen, Yongbin Tan, Jing Chen
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
trajectory prediction
Transformer
attention mechanism
GRU
autonomous driving
Online Access:https://www.mdpi.com/2220-9964/11/2/79

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