EPN predicts a target vehicle's future trajectory using the ego vehicle's planned path and refined CVAE endpoint guesses, reporting 30 to 65 percent lower errors than baselines, though the planned-path setup is undocumented.
Switched kalman filter- interacting multiple model algorithm based on optimal autoregressive model for manoeuvring target tracking,
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EPN: An Ego Vehicle Planning-Informed Network for Target Trajectory Prediction
EPN predicts a target vehicle's future trajectory using the ego vehicle's planned path and refined CVAE endpoint guesses, reporting 30 to 65 percent lower errors than baselines, though the planned-path setup is undocumented.