Patent ID: 11919395
Assignee: WISTRON CORPORATION
Field: Transport (Mechanical engineering)
Classification: CPC B  G | IPC B  G

Claim 0:
1. An electronic device for configuring a head-up display, comprising:
a transceiver;
a storage medium, storing a quantum machine learning model; and
a processor, coupled to the storage medium and the transceiver, wherein the processor executes:
obtaining a first coordinate value corresponding to a line of sight of a person through the transceiver, and obtaining a statistic value corresponding to the first coordinate value;
inputting the first coordinate value and the statistic value to the quantum machine learning model, and a first estimated statistic value being obtained;
configuring a display area of the head-up display by the first coordinate value and the first estimated statistic value;
judging a writing direction by a display content of the head-up display;
determining a position of the display content in the display area by the writing direction and determining a perceptual span of the person according to the writing direction of the display content and the first coordinate value, wherein when the writing direction of the display content is determined to be written from left to right, the processor determines a right side of the display area with respect to a center point of the display area as the perceptual span of the person, and the processor is configured to display a larger portion of the display content on the right side of the display area as compared to a portion of the display content being displayed on a left side of the display area with respect to the center point;
obtaining training data of the quantum machine learning model through the transceiver, wherein the training data comprises a historical coordinate value, a historical statistic value, a historical speed corresponding to a vehicle, and a historical relative traffic flow corresponding to the vehicle, wherein the historical relative traffic flow represents a number of other vehicles approaching the vehicle per unit time before a time point;
calculating an ideal statistic value corresponding to a line of sight of a person by the historical coordinate value, the historical statistic value, the historical speed, and the historical relative traffic flow; and
training the quantum machine learning model by a loss function, wherein the loss function is associated with an error between an output statistic value of the quantum machine learning model and the ideal statistic value.