Automatic data labelling for autonomous driving vehicles

A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations, the operations comprising:

• collecting sensor data from one or more sensors mounted on an autonomous driving vehicle (ADV) while the ADV is moving within a region of interest (ROI) that includes a plurality of obstacles;
• operating on the collected sensor data to obtain obstacle data associated with the obstacles, location data, and a plurality of timestamps that correspond to the obstacle data and the location data;
• for each of the timestamps, mapping positions of the obstacles to some of the obstacle data that correspond to the timestamp based on the location data, thereby generating mapped information of the obstacles;
• and
• automatically labelling the mapped information to generate labelled data, wherein the labelled data is utilized to subsequently train a machine learning algorithm to recognize obstacles during autonomous driving of an ADV.

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, the operations including
• collecting sensor data from one or more sensors mounted on an autonomous driving vehicle (ADV) while the ADV is moving within a region of interest (ROI) that includes a plurality of obstacles;
• operating on the collected sensor data to obtain obstacle data associated with the obstacles, location data, and a plurality of timestamps that correspond to the obstacle data and the location data;
• for each of the timestamps, mapping positions of the obstacles to some of the obstacle data that correspond to the timestamp based on the location data, thereby generating mapped information of the obstacles;
• and
• automatically labelling the mapped information to generate labelled data, wherein the labelled data is utilized to subsequently train a machine learning algorithm to recognize obstacles during autonomous driving of an ADV.