Artificial intelligence assisted conflict scenario detection with addition of classes

A computer-implemented method, comprising:

• processing, by a system operatively coupled to a processor, signal data generated by a vehicle to detect at least one or more non-collision scenarios;
• and
• processing, by the system, the signal data to detect at least one or more near-collision scenarios, such that data from the at least one or more near-collision scenarios is used to train a second AI model to define one or more rules that enable the second AI model to detect one or more new near-collision scenarios with a level of accuracy above that of a first AI model.

A computer program product for using an AI model to detect conflict scenarios for vehicles, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• process, by the processor, signal data generated by a vehicle to detect at least one or more non-collision scenarios;
• and
• process, by the processor, the signal data to detect at least one or more near-collision scenarios, such that data from the at least one or more near-collision scenarios is used to train a second AI model to define one or more rules that enable the second AI model to detect one or more new near-collision scenarios with a level of accuracy above that of a first AI model.