Patent ID: 11858508
Assignee: MOTIONAL AD LLC
Field: Measurement (Instruments)
Classification: CPC B  G | IPC B  G

Claim 7:
8. The method of claim 1, further comprising:
receiving training location data and training past trajectory data for one or more training objects;
determining a set of training features for the one or more training objects based on the training location data and the training past trajectory data;
combining the set of training features with training motion data of an agent to form a training concatenated data set;
generating, based on the training concatenated data set, a training trajectory lattice, wherein the training trajectory lattice comprises a training plurality of predicted trajectories, and wherein each of the training plurality of predicted trajectories is assigned a training probability of a training agent traveling a respective trajectory;
determining, based on the training trajectory lattice, one or more training trajectories for the training agent;
comparing the one or more training trajectories with a known trajectory of the training agent; and
updating weights of a neural network according to the comparing, wherein the neural network outputs the trajectory lattice.