System and method for identifying advanced driver assist systems for vehicles

A computer-implemented method for identifying vehicle components requiring calibration for a vehicle undergoing collision repair, the method comprising:

• receiving, at a computer system comprising one or more processors and memory, scan data for the vehicle from a scan tool configured to communicate with an on-board diagnostic system of the vehicle, the scan data comprising one or more diagnostic trouble codes, respective diagnostic trouble code types or statuses, and one or more module identifiers;
• receiving, at the computer system, estimate data for the vehicle corresponding to a repair order, the estimate data comprising one or more repair line codes;
• generating, by the computer system, a feature representation based at least in part on the diagnostic trouble codes, vehicle make and model, and the repair line codes;
• applying, by the computer system, the feature representation as input to a trained machine learning model configured to output, for each of a plurality of candidate vehicle components, a respective calibration-need value;
• and
• generating an output identifying one or more vehicle components requiring calibration based on the calibration-need values.

A system for identifying vehicle components requiring calibration for a vehicle undergoing collision repair, the system comprising:

• one or more processors;
• and
• a memory storing instructions that, when executed by the one or more processors, cause the system to:
• receive scan data for the vehicle from a scan tool configured to communicate with an on-board diagnostic system of the vehicle, the scan data comprising one or more diagnostic trouble codes, respective diagnostic trouble code types or statuses, and one or more module identifiers;
• receive estimate data corresponding to a repair order, the estimate data comprising one or more repair line codes;
• generate a feature representation based at least in part on the diagnostic trouble codes, vehicle make and model, and the repair line codes;
• apply the feature representation as input to a trained machine learning model configured to output calibration-need values for candidate vehicle components;
• and
• generate an output identifying one or more vehicle components requiring calibration based on the calibration-need values.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a computer system, cause the computer system to perform a method for identifying vehicle components requiring calibration for a vehicle undergoing collision repair, the method comprising:

• receiving scan data for the vehicle from a scan tool configured to communicate with an on-board diagnostic system of the vehicle, the scan data comprising one or more diagnostic trouble codes, respective diagnostic trouble code types or statuses, and one or more module identifiers;
• receiving estimate data corresponding to a repair order, the estimate data comprising one or more repair line codes;
• generating a feature representation based at least in part on the diagnostic trouble codes, vehicle make and model, and the repair line codes;
• applying the feature representation as input to a trained machine learning model configured to output calibration-need values for candidate vehicle components;
• and
• generating an output identifying one or more vehicle components requiring calibration based on the calibration-need values.