ycchen218/TrajCoordAE
trajectory prediction methods for short-term and long-term.
This project helps predict where pedestrians will move next, based on their past movements and the surrounding environment. It takes in observed past pedestrian trajectories and scene information, then outputs probable future paths. This is ideal for urban planners, safety engineers, or researchers studying crowd dynamics and pedestrian behavior.
No commits in the last 6 months.
Use this if you need to quickly and accurately forecast pedestrian movement for real-time applications or predictive analysis.
Not ideal if your primary goal is to predict the movement of non-pedestrian objects or if you require extreme long-term predictions without any environmental context.
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Python
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Last pushed
May 11, 2023
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