Method and system of fleet-based data adaptation and adaptation by driver assistance systems of individual vehicles

A computing device, comprising:

• memory storing driver assistance data;
• and
• processor circuitry forming one or more processors being communicatively coupled to the memory, the processor to operate by:
• receiving input condition data of a plurality of remote vehicles in a fleet remote from the computing device and used to generate automatic control commands at the remote vehicles to control the remote vehicles;
• receiving actual output parameter measurement data from the remote vehicles;
• receiving performance measurements depending at least in part on differences between the actual output parameter measurement data and expected output parameter measurement data depending on the automatic control commands;
• placing the performance measurement data, the input condition data, and the output parameter measurement data into a fleet database;
• determining whether one or more performance measurements in the fleet database are deemed inadequate;
• updating a calibration control command-to-input conditions correlation using the data of the fleet database;
• generating a calibration correction based on the correlation and to be used to change or replace a previous control command value associated with the inadequate performance measurement;
• and
• transmitting the calibration correction to the remote vehicles.

A vehicle, comprising:

• one or more controllers, comprising:
• memory;
• processor circuitry forming one or more processors communicatively coupled to the memory;
• and
• a driving assistance unit being operated by the one or more processors, the processor to operate by:
• generating input condition data used to generate an automatic control command at the vehicle to control the vehicle,
• generating output parameter measurement data resulting from use of the automatic control command,
• generating performance measurement data depending at least in part on differences between the output parameter measurement data and expected output parameter measurement data of the automatic control command,
• transmitting the performance measurement data, the input condition data, and the output parameter measurement data to a fleet data adaptation computing device receiving transmissions from a plurality of remote vehicles in a fleet and placing data of the performance measurements, the input conditions, and the output parameter measurements into a fleet database,
• receiving, over-the-air (OTA), a calibration correction from the fleet data adaptation computing device, wherein the fleet data adaptation computing device generates the calibration correction by determining whether a performance measurement in the fleet database is deemed inadequate, determining an updated calibration control command-to-input conditions correlation using the data of the fleet database, and generating the calibration correction based on the correlation, and
• replacing or modifying a previous inadequate control command value at the vehicle by using the calibration correction.