Patent ID: 11934962
Assignee: UATC, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for machine-learned model training, the method comprising:
inputting, into an object association model, training data indicative of a plurality of training objects and a plurality of training object tracks in an environment over a plurality of time intervals;
receiving, from the object association model, an output indicative of a training association of at least one training object at a most recent time interval of the plurality of time intervals and at least one training object track at a plurality of time intervals preceding the most recent time interval;
determining, for the object association model, a similarity score based on a comparison of the training association to a ground truth association, wherein the similarity score is positively correlated with greater accuracy of association by the object association model; and
adjusting at least one parameter of the object association model based on the similarity score.