Confidence levels along the same predicted trajectory of an obstacle

A non-transitory machine-readable medium having instruction stored therein, which when executed by a processor, cause the processor to perform operations of operating an autonomous driving vehicle (ADV), the operations comprising:

• determining a current status confidence score representing a confidence level concerning an accuracy of a current status of a moving obstacle, the current status of the moving obstacle including one or more of speed, location, heading, acceleration, or a type of the moving obstacle;
• generating a trajectory that predicts a path of the moving obstacle based on the current status of the moving obstacle, map data, and traffic rules;
• determining a trajectory confidence score representing a confidence level of a trajectory that the moving obstacle likely moves based on the current status confidence score and the current status of the moving obstacle;
• determining a plurality of point confidence scores each defining a reliability of a corresponding point on the trajectory based on the trajectory confidence score and at least one environmental fact of the moving obstacle, and
• planning a path to control and drive the ADV in view of the trajectory, the trajectory confidence score, and the point confidence scores of the trajectory.

A data processing system, comprising:

• a processor;
• and
• a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations of operating an autonomous driving vehicle (ADV), the operations including
• determining a current status confidence score representing a confidence level concerning an accuracy of a current status of a moving obstacle, the current status of the moving obstacle including one or more of speed, location, heading, acceleration, or a type of the moving obstacle,
• generating a trajectory that predicts a path of the moving obstacle based on the current status of the moving obstacle, map data, and traffic rules,
• determining a trajectory confidence score representing a confidence level of a trajectory that the moving obstacle likely moves based on the current status confidence score and the current status of the moving obstacle,
• determining a plurality of point confidence scores each defining a reliability of a corresponding point on the trajectory based on the trajectory confidence score and at least one environmental fact of the moving obstacle, and
• planning a path to control and drive the ADV in view of the trajectory, the trajectory confidence score, and the point confidence scores of the trajectory.