Tesla, inc. (20250121818). MACHINE LEARNING MODEL FOR PREDICTING DRIVING EVENTS
MACHINE LEARNING MODEL FOR PREDICTING DRIVING EVENTS
Organization Name
Inventor(s)
Thoralf Gutierrez of Palo Alto CA US
James Potthast of Palo Alto CA US
Alex Baranau of Palo Alto CA US
MACHINE LEARNING MODEL FOR PREDICTING DRIVING EVENTS
This abstract first appeared for US patent application 20250121818 titled 'MACHINE LEARNING MODEL FOR PREDICTING DRIVING EVENTS
Original Abstract Submitted
a processor retrieves data associated with a set of driving sessions and generates a training dataset by labeling a first subset of data that corresponds to driving sessions that included a first event and labeling a second subset of the data that corresponds to driving sessions that included an indication of an airbag activation. the processor then trains an artificial intelligence model using the training dataset, such that trained artificial intelligence model predicts a score indicative of a likelihood of a new driving session associated with a new driver being associated with at least the first event or an airbag activation. once trained, the processor can augment the score using data retrieved after each driving session. the processor can also notify the driver if the driver's actions has caused their score to increase/decrease and provide an underlying reason.