FSN dynamically selects the number of future trajectory steps to predict, using a learned classifier plus a Fréchet-distance-based score, claiming improved accuracy and efficiency on two driving benchmarks.
A dynamics-enhanced learning model for multi- horizon trajectory prediction in autonomous vehicles,
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Adaptive Output Steps: FlexiSteps Network for Dynamic Trajectory Prediction
FSN dynamically selects the number of future trajectory steps to predict, using a learned classifier plus a Fréchet-distance-based score, claiming improved accuracy and efficiency on two driving benchmarks.