Trajectory prediction from precomputed or dynamically generated bank of trajectories
AssigneeMotional AD LLC
InventorsTung Minh Phan, Eric Wolff, Emilio Frazzoli, Elena Corina Grigore, Freddy Boulton
Life of this patent
Estimating the term…
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AssigneeMotional AD LLC
InventorsTung Minh Phan, Eric Wolff, Emilio Frazzoli, Elena Corina Grigore, Freddy Boulton
Estimating the term…
Among other things, techniques are described for predicting how an agent (e.g., a vehicle, bicycle, pedestrian, etc.) will move in an environment based on prior movement, the road network, the surrounding objects and/or other relevant environmental factors. One trajectory prediction technique involves generating a probability map for an agent's movement. Another trajectory prediction technique involves generating a trajectory lattice, for an agent's movement. In addition, a different trajectory prediction technique involves multi-modal regression where a classifier (e.g., a neural network) is trained to classify the probability of a number of (learned) modes such that each model produces a trajectory based on the current input.
A computer implemented method comprising:
A non-transitory computer-readable storage medium comprising one or more programs for execution by one or more processors, the one or more programs including instructions which, when executed by the one or more processors, cause the one or more processors to:
A vehicle comprising:
Dependencies are inferred from the claim text.