HSTA: A Hierarchical Spatio-Temporal Attention Model for Trajectory Prediction
IEEE Transactions on Vehicular Technology(2021)
摘要
Predicting the future trajectories of surrounding agents has become an crucial problem to be solved for the safety of autonomous vehicles. Recent studies based on Long Short Term Memory (LSTM) networks have shown powerful abilities to model social interactions. However, many of these approaches focus on spatial interactions of the neighborhood agents but ignore temporal interactions that accompany...
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关键词
Trajectory,Predictive models,Computational modeling,Logic gates,Correlation,Training,Decoding
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