METHOD AND SYSTEM FOR TRAINING AN AUTONOMOUS VEHICLE MOTION PLANNING MODEL

Methods and systems for training an autonomous vehicle (AV) motion planning model are disclosed. The system receives a log of data representing objects detected by an AV over time. The system identifies a group of sample times in the log. Each sample time represents a time at which the AV made a choice in response to a state of an object. For each of the sample times, the system will generate candidate trajectories for the AV, and it will output the candidate trajectories on a display. The system will receive a label with a rating for each candidate trajectory. The system will then save, to a data set, each of the candidate trajectories in association with its label and the data from the log for its corresponding sample time. The system may then apply the data set to an AV motion planning model to train the model.