Uber Technologies, Inc.
Systems and Methods for Using Machine Learning to Determine Passenger Ride Experience

Abstract:

Systems and methods are directed to using machine learning to determine passenger ride experience. In one example, a computer-implemented method includes receiving, by a computing system comprising one or more computing devices, sensor data from one or more sensors positioned within a cabin of a vehicle, the sensor data being descriptive of one or more passengers located within the cabin of the vehicle. The method further includes inputting, by the computing system, the sensor data to a machine-learned ride experience model and receiving, as an output of the machine-learned ride experience model, ride experience data including ride experience events detected from the sensor data and a classification for each detected ride experience event according to a ride experience rating. The method further includes determining, by the computing system and based on the ride experience rating for each detected ride experience event, a ride experience control signal associated with operation of the vehicle.