Abstract: A navigation method, an electronic device and a readable storage medium, which relate to a field of vehicle networking technology, and in particular to a field of navigation technology. The navigation method includes: acquiring a real world image and a navigation information; converting the real world image to obtain a projection image, wherein the projection image is matched with an eyebox of at least one pair of vehicle-mounted glasses; superimposing the navigation information on the projection image to obtain a navigation image; and transmitting to the vehicle-mounted glasses the navigation image so that the navigation image is displayed by the vehicle-mounted glasses.

Abstract: The present application discloses an image projection method, apparatus, device and storage medium and relates to the field of intelligent transportation, and the specific implementation thereof is: acquiring a first camera coordinate of an area to be calibrated in a camera coordinate system of an AR camera on a vehicle, where the area to be calibrated is located within a photographing range of the AR camera; acquiring a relative conversion relationship between a first extrinsic parameter matrix of the AR camera and a second extrinsic parameter matrix of a head-up display on the vehicle; determining, according to the first camera coordinate and the relative conversion relationship, a second camera coordinate of a projection symbol corresponding to the area to be calibrated in a coordinate system of the head-up display; and controlling, according to the second camera coordinate, the head-up display to project an image including the projection symbol.

Abstract: The present disclosure provides a vehicle travel control method and apparatus. A specific implementation lies in: acquiring a distance between a vehicle and a first intersection, where the first intersection is an intersection for the vehicle to go across on a first road which the vehicle is currently on; acquiring, on a determination that the distance is less than or equal to a preset distance, intersection information of the first intersection and travelling information of the vehicle, where the intersection information includes lane information of at least two lanes on the first road; determining, according to the intersection information and the travelling information, a target weight of each of the lanes for the vehicle to travel into; and determining, according to the target weight of each of the lanes for the vehicle to travel into, an intended travel route of the vehicle.

Abstract: A data processing method for a vehicle, a device, and a medium are provided, which relate to a field of an intelligent transportation technology, in particular to fields of autonomous driving, Internet of Vehicles and intelligent cockpit. The data processing method for the vehicle includes: determining a target format setting information associated with target data for a vehicle, in response to an acquisition of the target data; selecting, from a plurality of candidate format data, target format data associated with the target format setting information; and processing the target data based on the target format data to generate data to be displayed.

Abstract: A navigation method, an electronic device and a readable storage medium, which relate to a field of vehicle networking technology, and in particular to a field of navigation technology. The navigation method includes: acquiring a real world image and a navigation information; converting the real world image to obtain a projection image, wherein the projection image is matched with an eyebox of at least one pair of vehicle-mounted glasses; superimposing the navigation information on the projection image to obtain a navigation image; and transmitting to the vehicle-mounted glasses the navigation image so that the navigation image is displayed by the vehicle-mounted glasses.

Abstract: An information processing method, an electronic device, and a storage medium are provided, which relate to the field of artificial intelligence, and in particular to the fields of autonomous driving and Internet of vehicles. The method includes: collecting a road image of a target road associated with a vehicle; identifying a road marking line of the target road according to the road image; determining a road type of the target road by using bending deformation information of the road marking line; and performing compensation processing on the vehicle based on the road type.

Abstract: The present disclosure provides a display method, a display apparatus, a device, a storage medium, and a computer program product, relates to the technical field of artificial intelligence, and specifically relates to the technical field of intelligent transport and deep learning. A specific embodiment of the method includes: acquiring a first image, where the first image is an image of an eyeball state of a driver; acquiring a second image, where the second image is an image of a surrounding environment of a vehicle of the driver; determining an object of point of interest (POI) based on the first image and the second image; and determining a target display position of the object of POI, and displaying the object of POI at the target display position.

Abstract: The present disclosure provides a method for tracking a sight line, an apparatus for tracking a sight line, a device, a storage medium, and a computer program product, relates to the technical field of artificial intelligence, and specifically relates to the technical fields of intelligent transport and deep learning. A specific embodiment of the method includes: acquiring a first image, where the first image is an image of an eyeball state of a driver; and determining, based on a pre-trained sight line calibrating model, a gaze area in a world coordinate system, the gaze area corresponding to the first image.

Abstract: The present application discloses an image projection method, apparatus, device and storage medium and relates to the field of intelligent transportation, and the specific implementation thereof is: acquiring a first camera coordinate of an area to be calibrated in a camera coordinate system of an AR camera on a vehicle, where the area to be calibrated is located within a photographing range of the AR camera; acquiring a relative conversion relationship between a first extrinsic parameter matrix of the AR camera and a second extrinsic parameter matrix of a head-up display on the vehicle; determining, according to the first camera coordinate and the relative conversion relationship, a second camera coordinate of a projection symbol corresponding to the area to be calibrated in a coordinate system of the head-up display; and controlling, according to the second camera coordinate, the head-up display to project an image including the projection symbol.