Abstract: The present disclosure provides a vehicle function recommendation system and method, including a data acquisition module, a learning module, a decision model and a recommendation module; the data acquisition module is configured to acquire current first information data; the learning module is configured to perform clustering analysis on historical first information data and behavior data associated with the historical first information data, to obtain historical habit data; where the historical habit data represents an association relationship between the first information data and the behavior data; the decision model is configured to determine target behavior data matched with the current first information data, based on the historical habit data; and the recommendation module is configured to determine a function recommendation result according to the target behavior data.

Abstract: The present disclosure provides an in-vehicle display screen, an in-vehicle display system and a vehicle. The in-vehicle display screen is detachably mounted in one of multiple mounting positions of a vehicle and connected to the in-vehicle display system via a second position information interface, to obtain the position information from the second position information. In addition, the in-vehicle display system is configured in the vehicle, and is connected to at least one in-vehicle display screen via a second wireless communication module to determine a display content of the in-vehicle display screen, and sends video stream data of the content to the in-vehicle display screen via the second wireless communication module, to play the display content. By adopting the above, the present disclosure can flexibly arrange the number and position of in-vehicle display screens according to actual needs, to improve the user experience in terms of space, and reduce costs of the vehicle.

Abstract: An application recommendation system and method, a storage medium, and a vehicle are disclosed in the present disclosure, which relate to the technical field of vehicle. The application recommendation system includes: an acquisition module, configured to acquire application determination data, where the application determination data includes driving advice data and health data of a target person in the vehicle, the driving advice data is generated from driving behavior data of a driver of the vehicle; a processing module, configured to determine a recommended application according to the application determination data; and a display module, configured to display the recommended application.

Abstract: The present disclosure provides an onboard screen casting system, an onboard screen casting method, and a computer-readable storage medium. The onboard screen casting system includes a host system and a virtual machine system; wherein, the virtual machine system is able to receive external bit stream data to be cast and transmit it to the host system; and the host system is able to decode the bit stream data into video stream data, and perform a visibility setting on the video stream data, to display the corresponding video.

Abstract: A vehicle navigation image synthesis method includes: acquiring M sampling images; storing N sampling images, a value of N being determined according to a speed of a target vehicle, a position of the target vehicle, and a following distance of the target vehicle; determining a plurality of sampling points of each sampling image of the N sampling images; determining first coordinates of each sampling point of the plurality of sampling points of each sampling image; mapping the first coordinates of each to the reference coordinate system to determine a second coordinate of each sampling point; and synthesizing sampling points of the N sampling images according to second coordinates of the sampling points of the N sampling images to determine a target image.

Abstract: The present disclosure provides an in-vehicle display screen, an in-vehicle display system and a vehicle. The in-vehicle display screen is detachably mounted in one of multiple mounting positions of a vehicle and connected to the in-vehicle display system via a second position information interface, to obtain the position information from the second position information. In addition, the in-vehicle display system is configured in the vehicle, and is connected to at least one in-vehicle display screen via a second wireless communication module to determine a display content of the in-vehicle display screen, and sends video stream data of the content to the in-vehicle display screen via the second wireless communication module, to play the display content. By adopting the above, the present disclosure can flexibly arrange the number and position of in-vehicle display screens according to actual needs, to improve the user experience in terms of space, and reduce costs of the vehicle.

Abstract: The present disclosure provides an onboard screen casting system, an onboard screen casting method, and a computer-readable storage medium. The onboard screen casting system includes a host system and a virtual machine system; wherein, the virtual machine system is able to receive external bit stream data to be cast and transmit it to the host system; and the host system is able to decode the bit stream data into video stream data, and perform a visibility setting on the video stream data, to display the corresponding video.

Abstract: A vehicle navigation image synthesis method includes: acquiring M sampling images; storing N sampling images, a value of N being determined according to a speed of a target vehicle, a position of the target vehicle, and a following distance of the target vehicle; determining a plurality of sampling points of each sampling image of the N sampling images; determining first coordinates of each sampling point of the plurality of sampling points of each sampling image; mapping the first coordinates of each to the reference coordinate system to determine a second coordinate of each sampling point; and synthesizing sampling points of the N sampling images according to second coordinates of the sampling points of the N sampling images to determine a target image.