Method for calibrating the driving assessment and computing device using the same

A computing device comprising:

• a memory comprising at least one instruction;
• and
• a processor, wherein the at least one instruction, when executed by the processor, configure the processor to:
• create a time series of vehicle trip data comprising driving assessment data based on vehicle data received from a vehicle,
• create, based on a determination of trip data missing from the time series of the vehicle trip data, perception factor data associated with the missing trip data,
• based on a distribution between the perception factor data and provisional trip data from provisional missing data, select candidate trip data that is grouped according to a plurality of counts of trip misses from the provisional trip data,
• estimate a count trip misses based on the group of candidate trip data that has a highest matching degree with the missing trip data,
• restore the missing trip data based on candidate assessment factor data from the candidate trip data corresponding to the estimated count of trip misses, and
• control autonomous driving of the vehicle by generating control information based on the time series of the vehicle trip data comprising the restored missing trip data and the driving assessment data.

A system comprising:

• a computing device;
• and
• a vehicle,
• wherein the computing device comprises:
• a memory comprising at least one instruction, and
• a processor, wherein the at least one instruction, when executed by the processor, configures the processor to:
• create a time series of vehicle trip data comprising driving assessment data based on vehicle data from the vehicle,
• create, based on a determination of trip data missing from the time series of the vehicle trip data, perception factor data associated with the missing trip data,
• based on a distribution between the perception factor data and provisional trip data from provisional missing data, select candidate trip data that is grouped according to a plurality of counts of trip misses from the provisional trip data,
• estimate a count of trip misses based on the group of candidate trip data that has a highest matching degree with the missing trip data,
• restore the missing trip data based on candidate assessment factor data from the candidate trip data corresponding to the estimated count of trip misses,
• send information, based on the restored missing trip, configured to control one or more operations of the vehicle, and
• control autonomous driving of the vehicle by generating control information based on the time series of the vehicle trip data comprising the restored missing trip data and the driving assessment data,
• wherein the vehicle is configured to receive the information.