Forecasting Pedestrian Trajectory with Machine-Annotated Training Data

Olly Styles
Olly Styles

IV, pp. 716-721, 2019.

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Abstract:

Reliable anticipation of pedestrian trajectory is imperative for the operation of autonomous vehicles and can significantly enhance the functionality of advanced driver assistance systems. While significant progress has been made in the field of pedestrian detection, forecasting pedestrian trajectories remains a challenging problem due ...More

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