MANEUVER ORIENTED TRAJECTORY PREDICTION FOR AUTONOMOUS VEHICLES

원문 (중국어)

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.