{
  "$type": "site.standard.document",
  "description": "A trajectory prediction modeling (TPM) system of a vehicle includes a set of perception sensors configured to capture a dataset indicative of a surrounding of the vehicle and a control system configured to access a trained TPM model, wherein the trained TPM model is maneuver intention-aware…",
  "path": "/patents/1377752",
  "publishedAt": "2026-01-01T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/0097",
    "FCA US LLC"
  ],
  "textContent": "A trajectory prediction modeling (TPM) system of a vehicle includes a set of perception sensors configured to capture a dataset indicative of a surrounding of the vehicle and a control system configured to access a trained TPM model, wherein the trained TPM model is maneuver intention-aware, execute the trained TPM model using the captured dataset to predict (i) a maneuver of a target object and (ii) a trajectory of the target object, and generate an output based on the predicted maneuver and trajectory of the target object. In some implementations, a training or calibration system is configured to train the a TPM model by auto-labeling training dataset with maneuver-intentions without input from a human annotator to obtain a labeled training dataset and then training the TPM model using the labeled training dataset to obtain the trained TPM model.",
  "title": "MANEUVER ORIENTED TRAJECTORY PREDICTION FOR AUTONOMOUS VEHICLES"
}