System and method for classifying intersections based on sensor data from fleet vehicles

A non-transitory computer readable medium storing instructions that, when executed by one or more processors of a computing system, cause the computing system to:

• receive, over one or more networks, sensor data from a subset of human-driven vehicles that have moved through an intersection in a region, the sensor data indicating a respective set of trajectories of respective human-driven vehicles through the intersection;
• process the sensor data to classify driving behavior of each human-driven vehicle of the subset of human-driven vehicles through the intersection;
• and
• classify the intersection to label an autonomy map to include pass-through information for at least one of autonomous vehicles or semi-autonomous vehicles driving through the intersection.

A computer-implemented method, the method being performed by one or more processors and comprising:

• receiving, over one or more networks, sensor data from a subset of human-driven vehicles that have moved through an intersection in a region, the sensor data indicating a respective set of trajectories of respective human-driven vehicles through the intersection;
• processing the sensor data to classify driving behavior of each human-driven vehicle of the subset of human-driven vehicles through the intersection;
• and
• classifying the intersection to label an autonomy map to include pass-through information for at least one of autonomous vehicles or semi-autonomous vehicles driving through the intersection.