Method and apparatus of predicting possibility of accident in real time during vehicle driving

A method of learning a possibility of an accident, the method comprising:

• collecting vehicle accident data by using a collection module controlled by a processor;
• abstracting the vehicle accident data to generate abstracted driving situation data by using an abstraction module controlled by the processor;
• training a prediction function to calculate a score representing a possibility of an accident of an ego-vehicle by using the abstracted driving situation data as learning data in a learning module controlled by the processor;
• and
• transmitting the trained prediction function to the ego-vehicle to install the trained prediction function in a calculation module of the ego-vehicle by using a communication device controlled by the processor.

An apparatus for predicting a possibility of an accident, the apparatus comprising:

• a processor;
• an abstraction module executed by the processor and configured to abstract surrounding situation data and movement data of an ego-vehicle input from a sensor to generate abstracted driving situation data;
• a calculation module executed by the processor and configured to calculate a digitized score of a possibility of an accident of the ego-vehicle, based on the abstracted driving situation data;
• and
• an action generating module executed by the processor and configured to generate action data of the ego-vehicle for decreasing the possibility of the accident, based on the score.