Systems and methods to classify a road based on a level of suppport offered by the road for autonomous driving operations

A method comprising:

• generating, by a first sensor system of a first vehicle, first sensor data comprising a current condition of a road, wherein the first sensor system comprises at least one of a camera, a radar device, a light detection and ranging (LIDAR) device, and an Internet-of-Things (IoT) device, and wherein at least a portion of the first sensor data is autonomously generated by the camera, the radar device, the LIDAR device, and/or the IoT device in communication with the first vehicle;
• providing, by the first vehicle, the first sensor data;
• predicting a future functional condition of the road based on evaluating a current functional condition of the road, wherein evaluating the current functional condition of the road comprises evaluating the first sensor data in combination with crowd-sourced data comprising road-related information, the crowd-sourced data received from one or more other vehicles;
• identifying, based on the current condition of the road and/or the future functional condition of the road, a first deterioration value for the road, the first deterioration value associated with at least one of one or more road markings, traffic signs, traffic signals, and/or infrastructure elements that support autonomous driving operations;
• determining, based on the future functional condition of the road and the first deterioration value for the road, a level of support offered by the road for autonomous driving operations;
• determining a second deterioration value associated with the first vehicle, wherein the second deterioration value provides an indication of an ability of the first vehicle to autonomously travel on any road;
• comparing the first deterioration value and the second deterioration value;
• determining that the first deterioration value is less than or equal to the second deterioration value;
• determining first autonomous driving capabilities of the first vehicle with respect to the one or more road markings, traffic signs, traffic signals, and/or infrastructure elements that support autonomous driving operations, based at least in part on a maintenance condition of the first vehicle;
• determining, based on the future functional condition of the road, the determination that the first deterioration value is less than or equal to the second deterioration value, and the first autonomous driving capabilities of the first vehicle, a viability of the first vehicle to travel on the road;
• autonomously re-routing, by the first vehicle, the first vehicle based on the level of support offered by the road;
• and
• recommending one or more repairs to address the first deterioration value and/or the second deterioration value.

A system comprising:

• a memory that stores computer-executable instructions;
• and
• a processor configured to execute the computer-executable instructions to:
• generate, by a first sensor system of a first vehicle, first sensor data comprising a first functional condition of a road, wherein the first functional condition is a current functional condition, wherein the first sensor system comprises at least one of a camera, a radar device, a light detection and ranging (LIDAR) device, and an Internet-of-Things (IoT) device, and wherein at least a portion of the first sensor data is autonomously generated by the camera, the radar device, the LIDAR device, and/or the IoT device in communication with the first vehicle;
• receive, from one or more databases, road records data and road features data associated with the road;
• receive, from the one or more databases, road cartographic data including map information associated with the road;
• receive, from the first vehicle, the first sensor data;
• receive, from one or more other vehicles, crowd-sourced data comprising road-related information;
• predict a future functional condition of the road based on evaluating the first sensor data in combination with the crowd-sourced data;
• identify, based on the current functional condition of the road, and/or the future functional condition of the road, a first deterioration value for the road, the first deterioration value associated with at least one of one or more road markings, traffic signs, traffic signals, and/or infrastructure elements that support autonomous driving operations;
• determine, based on the future functional condition of the road, the first deterioration value the roads records data, the road features data, and the road cartographic data a level of support offered by the road for autonomous driving operations;
• assign, to the road, a first classification based on the level of support offered by the road for autonomous driving operations;
• determine a second deterioration value associated with the first vehicle, wherein the second deterioration value provides an indication of an ability of the first vehicle to autonomously travel on any road;
• compare the first deterioration value and the second deterioration value;
• determine that the first deterioration value is less than or equal to the second deterioration value;
• determine first autonomous driving capabilities of the first vehicle with respect to the one or more road markings, traffic signs, traffic signals, and/or infrastructure elements that support autonomous driving operations;
• determine, based on the first classification of the road, the determination that the first deterioration value is less than or equal to the second deterioration value, and the first autonomous driving capabilities of the first vehicle, a viability of the first vehicle to travel on the road;
• autonomously re-route, by the first vehicle, the first vehicle based on the level of support offered by the road;
• and
• recommend one or more repairs to address the first deterioration value and/or the second deterioration value.