Non-Parametric Spatiotemporal Trajectory Prediction via State-Conditioned Transition Sampling
A training-free method for multi-modal trajectory prediction that achieves comparable accuracy to a 57M-parameter transformer while requiring no GPU and zero learned parameters, which enables deployment in new geographic regions from an order of magnitude less historical data.
Michael Fore, Akshay Jain, J. Downes et al.
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