Abstract: Described is a method for detecting a calibration requirement for image sensors in a vehicle. The method includes detecting a ground pattern in a generated image associated with a surrounding of a vehicle. The method includes extracting at least one key point associated with the detected ground pattern, from the generated image. The method includes determining a relative motion parameter associated with the extracted at least one key point based on tracking of the extracted at least one key point over a period of time. The method further includes detecting the calibration requirement for the image sensor based on the determined relative motion parameter and generating an output signal based on the detected calibration requirement.

Abstract: Embodiments of this application disclose a communication method and a communications apparatus, and are used in the field of communications technologies, to resolve a problem of how to notify an access network device of an NR PC5 QoS parameter of a terminal. The method in one embodiment includes a home V2XCF that obtains an NR PC5 QoS parameter of a terminal, and the home V2XCF sends the NR PC5 QoS parameter to an access network device, such as a first network element that is in an EPS. The first network element receives the NR PC5 QoS parameter and sends the NR PC5 QoS parameter to an MME. After receiving the NR PC5 QoS parameter, the MME sends the NR PC5 QoS parameter to an access network device. The first network element may be an HSS or a PCRF.

Abstract: Described is a method for detecting a calibration requirement for image sensors in a vehicle. The method includes detecting a ground pattern in a generated image associated with a surrounding of a vehicle. The method includes extracting at least one key point associated with the detected ground pattern, from the generated image. The method includes determining a relative motion parameter associated with the extracted at least one key point based on tracking of the extracted at least one key point over a period of time. The method further includes detecting the calibration requirement for the image sensor based on the determined relative motion parameter and generating an output signal based on the detected calibration requirement.

Abstract: An image processing apparatus and a method are provided. The apparatus comprises a plurality of processing modules configured to operate in series to refine a raw image captured by a camera, the modules comprising a first module and a second module, each of which independently implements a respective trained artificial intelligence model, wherein: the first module implements an image transformation operation that performs an operation from the set comprising: (i) an essentially pixel-level operation that increases sharpness of an image input to the module, (ii) an essentially pixel-level operation that decreases sharpness of an image input to the module, (iii) an essentially pixel-block-level operation on an image input to the module; and the second module as a whole implements a different operation from the said set.

Abstract: A visual localization method includes obtaining an image captured by a terminal device; obtaining two-dimensional line feature information of the image that includes at least one of information about a boundary between a building and a non-building or information about a boundary between a non-building and a non-building; and determining a localization pose of the terminal device based on location information of the terminal device, magnetometer angle deflection information of the terminal device, a satellite map, and the two-dimensional line feature information.

Abstract: An image processing method includes segmenting, by a cloud server and based on a zoom ratio of a high-definition image in a high-definition image library, a low-definition image of a small zoom ratio from a terminal to obtain a plurality of image blocks. For each image block, performing, by the cloud server, retrieval and matching in the high-definition image library to obtain one or more high-definition reference images, and then performing, by the cloud server, image quality improvement using an image enhancement network that is based on the high-definition reference images to obtain a plurality of high-definition image blocks. Finally, stitching, by the cloud server, the high-definition image blocks into a super-definition image with higher resolution and higher definition, and returning, by the cloud server, the super-definition image to the terminal.

Abstract: A visual localization method and apparatus are provided. The method includes obtaining a captured first image, determining a first pose based on the first image and an aerial model, determining whether a ground model corresponding to the first pose exists in an aerial-ground model, and when the ground model corresponding to the first pose exists, determining a second pose based on the ground model. The aerial-ground model includes the aerial model and the ground model mapped to the aerial model, a coordinate system of the ground model is the same as a coordinate system of the aerial model, and localization accuracy of the second pose is higher than localization accuracy of the first pose. Performing fine visual localization based on the ground model can improve accuracy and a success rate of localization.

Abstract: A method for playing media data is disclosed, including: transmitting, by a first operating system, a request for processing the media data to a second operating system, the first operating system and the second operating system being installed on a same device; receiving, by the first operating system, processing results from the second operating system, wherein the second operating system is configured to process the media data based at least in part on the request to generate the processing results; and playing the media data by the first operating system based at least in part on the processing results.

Abstract: A method and an apparatus for determining near field images for optical lithography include receiving a thin mask image indicative of a photomask feature, in which the thin mask image is determined without considering a mask topography effect associated with the photomask feature, and determining a near field image from the thin mask image by a processor using an artificial neural network (ANN), in which the ANN uses data of the thin mask image as input. The apparatus includes a processor and a memory coupled to the processor. The memory is configured to store instructions executed by the processor to perform the method.

Abstract: A method, where one file includes file data of a plurality of files for generating a three-dimensional model includes obtaining a first file in a picture format, an extension data segment of the first file includes at least one first data segment, and the first data segment includes the file data of the files for generating a first three-dimensional model of the three-dimensional model, obtaining the file data of the files from the first data segment, and generating the first three-dimensional model based on the file data of the files.

Abstract: Playing multimedia data including instructing that a transparent area be painted in a first drawing layer, instructing that a multimedia data playing window be painted in a second drawing layer, the multimedia data playing window overlapping with the transparent area, instructing synchronous display of the transparent area and the playing window, and instructing that the multimedia data be played in the playing window.

Abstract: An image processing apparatus and a method are provided. The apparatus comprises a plurality of processing modules configured to operate in series to refine a raw image captured by a camera, the modules comprising a first module and a second module, each of which independently implements a respective trained artificial intelligence model, wherein: the first module implements an image transformation operation that performs an operation from the set comprising: (i) an essentially pixel-level operation that increases sharpness of an image input to the module, (ii) an essentially pixel-level operation that decreases sharpness of an image input to the module, (iii) an essentially pixel-block-level operation on an image input to the module; and the second module as a whole implements a different operation from the said set.

Abstract: A transmitter for a magnetic coupler includes a plate made of a magnetic material. A first coil and a second coil are arranged on a surface of the plate. The first coil and the second coil are disposed within a periphery of the surface of the plate. A first portion of the first coil overlaps a first portion of the second coil. The transmitter emits a magnetic field.

Abstract: A method includes: obtaining a target zoom ratio; simultaneously photographing a monochrome image and a color image of a target scene based on the target zoom ratio, where resolution of the monochrome image is higher than that of the color image, and there is at least one monochrome image and at least one color image; correspondingly cropping the monochrome image and the color image based on the target zoom ratio, where a field of view corresponding to a monochrome image obtained through cropping is the same as a field of view corresponding to a color image obtained through cropping; and performing fusion on the monochrome image obtained through cropping and the color image obtained through cropping, to obtain a color zoom image.

Abstract: A method for processing multimedia data is disclose, including: determining whether at least one frame associated with the multimedia data has been decoded; in response to the determination that the at least one frame associated with the multimedia data has been decoded, drawing a transparent area on a display interface; and instructing a multimedia data playing window and the at least one frame associated with the multimedia data to be drawn, wherein the transparent area and the multimedia data playing window overlap at different drawing layers.

Abstract: A casing for an onboard charger includes a sidewall having a first height and an internal wall having a second height less than the first height. A channel is defined by the internal wall and the sidewall. An inlet connects to a first end of the channel and an outlet connects to a second end of the channel. A heat dissipating liquid can flow into the channel through the inlet and out of the channel through the outlet.

Abstract: A method and an apparatus for determining near field images for optical lithography include receiving a thin mask image indicative of a photomask feature, in which the thin mask image is determined without considering a mask topography effect associated with the photomask feature, and determining a near field image from the thin mask image by a processor using an artificial neural network (ANN), in which the ANN uses data of the thin mask image as input. The apparatus includes a processor and a memory coupled to the processor. The memory is configured to store instructions executed by the processor to perform the method.