Method and system for generating vehicle parameters for training a user to score a vehicle maneuver

A system for training a user to score a vehicle maneuver, the system comprising:

• at least one processor;
• and
• a non-transitory storage medium operatively connected to the at least one processor, the non-transitory storage medium comprising computer-readable instructions;
• the at least one processor, upon executing the computer-readable instructions, being configured for:
• generating, using one of a machine learning model and a rule-based model, vehicle parameters based on a target grade and a vehicle maneuver, the target grade being indicative of a given performance level of a pilot performing the vehicle maneuver, the vehicle parameters representing parameters of the vehicle during the vehicle maneuver, the vehicle parameters enabling evaluating a performance of the pilot during the vehicle maneuver;
• providing the vehicle parameters for display on a display device operatively connected to the at least one processor;
• receiving, from a user device operatively connected to the at least one processor, a subjective grade indicative of an estimated performance level of a vehicle during the vehicle maneuver;
• and
• providing the target grade for display to the user on the display device, thereby allowing the user to compare the subjective grade to the target grade.

A computer-implemented method for training a machine learning model to generate vehicle parameters representing a vehicle maneuver, the method being executed by a processor, the method comprising:

• receiving, from a database, previous vehicle maneuvers, each one of the previous vehicle maneuvers being associated with:
• a respective set of previous vehicle parameters indicative of a respective previous vehicle maneuver having been performed by a respective pilot;
• and
• a respective grade indicative of a performance level of the respective pilot during the respective previous vehicle maneuver;
• generating a set of training objects, each training object including a respective previous vehicle maneuver, the respective grade and the respective set of vehicle parameters;
• and
• training, the machine learning model to generate the vehicle parameters based on a target grade and the respective previous vehicle maneuver, the training being based on the set of training objects;
• and
• outputting a trained machine learning model.