Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases
Salar Arbabi,Davide Tavernini,Saber Fallah,Richard Bowden,Salar Arbabi,Davide Tavernini,Saber Fallah,Richard Bowden
To plan safe maneuvers and act with foresight, autonomous vehicles must be capable of accurately predicting the uncertain future. In the context of autonomous driving, deep neural networks have been successfully applied to learning pre-dictive models of human driving behavior from data. However, the predictions suffer from cascading errors, resulting in large inaccuracies over long time horizons. ...
