US Patent Application 18355148. GUIDING VEHICLES THROUGH VEHICLE MANEUVERS USING MACHINE LEARNING MODELS simplified abstract
Contents
GUIDING VEHICLES THROUGH VEHICLE MANEUVERS USING MACHINE LEARNING MODELS
Organization Name
Inventor(s)
Chenyi Chen of Fremont CA (US)
Artem Provodin of Highlands NJ (US)
GUIDING VEHICLES THROUGH VEHICLE MANEUVERS USING MACHINE LEARNING MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18355148 titled 'GUIDING VEHICLES THROUGH VEHICLE MANEUVERS USING MACHINE LEARNING MODELS
Simplified Explanation
- This patent application describes a system for determining a recommended vehicle trajectory based on a trigger signal indicating a vehicle maneuver. - The system uses sensor data from at least one sensor on the vehicle to determine the recommended trajectory. - A machine learning model is applied to the control input and sensor data to compute output data representing the recommended vehicle trajectory. - The output data, which includes vehicle control data, is then sent to a control component of the vehicle to control its movement during the maneuver.
Original Abstract Submitted
In various examples, a trigger signal may be received that is indicative of a vehicle maneuver to be performed by a vehicle. A recommended vehicle trajectory for the vehicle maneuver may be determined in response to the trigger signal being received. To determine the recommended vehicle trajectory, sensor data may be received that represents a field of view of at least one sensor of the vehicle. A value of a control input and the sensor data may then be applied to a machine learning model(s) and the machine learning model(s) may compute output data that includes vehicle control data that represents the recommended vehicle trajectory for the vehicle through at least a portion of the vehicle maneuver. The vehicle control data may then be sent to a control component of the vehicle to cause the vehicle to be controlled according to the vehicle control data.
