Abstract: A building photovoltaic data interpolation method based on WGAN and whale optimization algorithm is provided, which includes: obtaining historical building roof photovoltaic output data, perform preprocessing on the historical building roof photovoltaic output data, and uses CNN to build a GAN; describing missing value position of preprocessed data by using a binary mask matrix, and setting Wasserstein distance to define a loss function of a GAN generator and a discriminator; taking the loss function as a fitness function, optimizing an input to the GAN generator through a whale optimization algorithm and obtaining optimized candidate samples; fusing the optimized candidate samples and a photovoltaic data processed by the binary mask matrix to obtain completed reconstructed samples, so as to improve the complementary accuracy, optimize the random noise, remove the unfavorable influencing components, and provide services for building rooftop PV data interpolation more accurately.

Abstract: The disclosure provides a displaying substrate, a manufacturing method thereof, and a display panel, and relates to the technical field of display. The displaying substrate comprises a first supporting base (1), plurality of vibrating element modules (2), and a display module (3). The display module (3) comprises display units (31), connecting units (32) and hollowed-out units (33). Each connecting unit (32) is located between two adjacent display units (31). Each hollowed-out unit (33) is located between two adjacent display units (31) except an area where the corresponding connecting unit (32) is located. The hollowed-out units (33) are provided with cavities (40) corresponding to the vibrating element modules (2). Orthographic projections of the hollowed-out units (33) on a reference plane cover orthographic projections of the vibrating element modules (2) on the reference plane. The vibrating element modules (2) and the cavities (40) form a transducer.

Abstract: The present disclosure relates to a localization method and apparatus, and a computer apparatus and a computer-readable storage medium. The localization method includes performing radar mapping and visual mapping by respectively using a radar and a vision sensor, wherein a step of the vision mapping includes determining a pose of a key frame; and combining radar localization with vision localization based on the pose of the key frame, to use vision localization results for navigation on a map obtained by the radar mapping.

Abstract: The present disclosure relates to a backlight module, a method for designing the same, and a display device. The backlight module includes: a first substrate; a plurality of LED chips on the first substrate; and a light control structure on the first substrate. The backlight module includes a plurality of light control region groups in one-to-one correspondence with the plurality of light-emitting diode chips, each light control region group includes at least a first light control region and a second light control region. The light control structure includes a plurality of light control substructure groups respectively located in the plurality of light control region groups. Each light control substructure group includes at least a first light control substructure in the first light control region and a second light control substructure in the second light control region.

Abstract: This disclosure relates to a see-through display device, including: a collimated light source assembly, configured to form collimated light and control a light emitting direction; a first light extraction layer, configured to extract, in a collimated manner, the light ray transmitted inside the light guide plate through a light extraction outlet; an extinction layer and a second light extraction layer, wherein the extinction layer includes a light guide region and a light absorption region which are arranged alternately, and the second light extraction layer includes multiple light extraction inlets; a reflecting layer, arranged on a side, close to the light guide plate, of the second light extraction layer and configured to reflect the collimated light extracted from the light extraction outlet to the light guide plate; and a liquid crystal dimming layer. This disclosure further relates to a manufacturing method of the see-through display device.

Abstract: An optical module includes a circuit board, a light-emitting housing, a first optical fiber adapter, a first internal optical fiber, and an optical fiber connector. An end of the first internal optical fiber is connected to the first optical fiber adapter, and the optical fiber connector is optically connected to the light-emitting component and wraps another end of the first internal optical fiber. The first internal optical fiber and the optical fiber connector are transparent material members, and light transmittance of the two is different. The light-emitting housing includes a bottom wall and a concave groove. The optical fiber connector is disposed on the bottom wall, and a portion of the optical fiber connector is located above the concave groove. An orthogonal projection of the another end of the first internal optical fiber on the bottom wall is located in the concave groove.

Abstract: An RGB-D fusion information-based obstacle target classification method includes: collecting an original image through a binocular camera within a target range, and acquiring a disparity map of the original image; collecting a color-calibrated RGB image through a reference camera of the binocular camera within the target range; acquiring an obstacle target through disparity clustering in accordance with the disparity map and the color-calibrated RGB image, and acquiring a target disparity map and a target RGB image of the obstacle target; calculating depth information about the obstacle target in accordance with the target disparity map; and acquiring a classification result of the obstacle target through RGB-D channel information fusion in accordance with the depth information and the target RGB image.

Abstract: A method and a system for extracting a dense disparity map based on multi-sensor fusion are provided. The method includes: obtaining a left-eye image and a right-eye image in a same road scenario, and point cloud information about the road scenario; generating an initial cost volume map set in accordance with the left-eye image, the right-eye image and the point cloud information; performing multidirectional cost aggregation in accordance with the point cloud information and the initial cost volume map set, and creating an energy function in accordance with the cost aggregation; and solving an optimum disparity for each pixel in the left-eye image in accordance with the energy function, so as to generate the dense disparity map.

Abstract: An optical module includes a base, a first cover, a circuit board, a light emitting assembly and a light receiving assembly. The light emitting assembly includes a plurality of light-emitting chips and an optical multiplexer. The plurality of light-emitting chips are disposed on the first bottom plate. The optical multiplexer is disposed on the first cover and is located in a laser exit direction of the plurality of light-emitting chips. The light receiving assembly includes an optical demultiplexer and a plurality of light-receiving chips. The optical demultiplexer is disposed on the first cover. The plurality of light-receiving chips are disposed on the circuit board and are located in a laser exit direction of the optical demultiplexer.

Abstract: The present disclosure provides a method for distance measurement based on a binocular camera, a system for distance measurement based on a binocular camera, a device and a computer-readable storage medium. The method includes: taking N images of a distance measurement marker placed at each of Z positions in a depth direction of the binocular camera; calculating an average disparity of the distance measurement marker at the middle position, the left side position and the right side position at each of the Z positions; calculating a distance measurement value at each of the Z positions in the depth direction; calculating a distance measurement error value at the middle position, the left side position and the right side position at each of the Z positions, and acquiring a total error cost function; and calculating extrinsic parameters, so as to acquire a distance measurement result in the depth direction.

Abstract: Provided is an Aobject-based short range measurement method, a short range measurement device, a short range measurement system, and a storage medium. The short range measurement method includes: identifying a target object, and acquiring border information about an ROI of the target object; acquiring two groups of geometric constraint points of the target object with respect to a left-eye camera and a right-eye camera respectively; acquiring pixel coordinates of each geometric constraint point and a border pixel size corresponding to the border information, and calculating a monocular distance estimation value of the target object; acquiring an overall disparity of the two groups of geometric constraint points, and calculating a binocular distance estimation value of the target object in accordance with the overall disparity; and acquiring a final measurement value in accordance with the monocular distance estimation value and the binocular distance estimation value.

Abstract: A component for a vehicle interior is disclosed. The component may comprise an airbag door hinge coupled with an airbag door and a load-bearing component surrounding the door. The airbag door hinge may comprise a fabric layer configured to extend during deployment of an airbag. The fabric layer may comprise a mesh comprising a first segment of yarns and a second segment of yarns. The mesh may comprise a grid comprising multiple first segments and multiple second segments. Density of the first segment of yarns may differ from density of the second segment of yarns. The grid may comprise a first row of first segments spaced from one another by openings and a second row of second segments adjacent one another. The grid may comprise a third row of first segments spaced from one another by openings. The second row may separate the first and third rows.

Abstract: An RGB-D fusion information-based obstacle target classification method includes: collecting an original image through a binocular camera within a target range, and acquiring a disparity map of the original image; collecting a color-calibrated RGB image through a reference camera of the binocular camera within the target range; acquiring an obstacle target through disparity clustering in accordance with the disparity map and the color-calibrated RGB image, and acquiring a target disparity map and a target RGB image of the obstacle target; calculating depth information about the obstacle target in accordance with the target disparity map; and acquiring a classification result of the obstacle target through RGB-D channel information fusion in accordance with the depth information and the target RGB image.

Abstract: A method and a system for detecting a long-distance target through a binocular camera, and an intelligent terminal are provided. The method includes the steps of: acquiring original images generated by the binocular camera at a target region, acquiring a disparity map in accordance with the original images, and converting the disparity map into a space information point cloud map; partitioning a predetermined target detection range into a plurality of sub-ranges in accordance with the space information point cloud map, and acquiring a disparity threshold segmentation image for each sub-range; calculating an integral image in accordance with each disparity threshold segmentation image, and acquiring a heatmap of an obstacle in accordance with the integral images; and reversely mapping a maximum matching region in the heatmap to the original image, so as to acquire a target ROI for the obstacle, thereby to acquire a position of the obstacle.

Abstract: The present disclosure provides a method for distance measurement based on a binocular camera, a system for distance measurement based on a binocular camera, a device and a computer-readable storage medium. The method includes: taking N images of a distance measurement marker placed at each of Z positions in a depth direction of the binocular camera; calculating an average disparity of the distance measurement marker at the middle position, the left side position and the right side position at each of the Z positions; calculating a distance measurement value at each of the Z positions in the depth direction; calculating a distance measurement error value at the middle position, the left side position and the right side position at each of the Z positions, and acquiring a total error cost function; and calculating extrinsic parameters, so as to acquire a distance measurement result in the depth direction.

Abstract: An optical transmission module includes a housing having a cavity therein and an optical transmission device encapsulated in the cavity. The optical transmission device includes an optical waveguide substrate, laser assemblies, an optical multiplexing assembly and main waveguides. The optical waveguide substrate includes a surface and a first reflection inclined surface having an acute angle therebetween. The laser assemblies are disposed on the surface of the optical waveguide substrate, and are configured to emit laser beams towards the surface of the optical waveguide substrate. The optical multiplexing assembly is disposed in the optical waveguide substrate, and is configured to combine the laser beams into a laser beam. The main waveguides are disposed inside the optical waveguide substrate, light inlet ends of the main waveguides face the first inclined surface, and light outlet ends of the main waveguides are communicated with the optical multiplexing assembly.

Abstract: Provided is an object-based short range measurement method, a short range measurement device, a short range measurement system, and a storage medium. The short range measurement method includes: identifying a target object, and acquiring border information about an ROI of the target object; acquiring two groups of geometric constraint points of the target object with respect to a left-eye camera and a right-eye camera respectively; acquiring pixel coordinates of each geometric constraint point and a border pixel size corresponding to the border information, and calculating a monocular distance estimation value of the target object; acquiring an overall disparity of the two groups of geometric constraint points, and calculating a binocular distance estimation value of the target object in accordance with the overall disparity; and acquiring a final measurement value in accordance with the monocular distance estimation value and the binocular distance estimation value.

Abstract: Provided is a road surface information-based imaging environment evaluation method, an imaging environment evaluation device, an imaging environment evaluation system, and a storage medium. The imaging environment evaluation method includes: acquiring a disparity information matrix and pixel coordinates of a vanishing point in the disparity information matrix; subjecting the disparity information matrix to matrix partition and projection in accordance with the pixel coordinates of the vanishing point so as to acquire a disparity projection image; acquiring a road surface model-based statistic model in accordance with the disparity projection image; and acquiring an evaluation result of a current imaging environment in accordance with a relationship between the statistic model and a predetermined threshold.

Abstract: Provided is a road surface information-based imaging environment evaluation method, an imaging environment evaluation device, an imaging environment evaluation system, and a storage medium. The imaging environment evaluation method includes: acquiring a disparity information matrix and pixel coordinates of a vanishing point in the disparity information matrix; subjecting the disparity information matrix to matrix partition and projection in accordance with the pixel coordinates of the vanishing point so as to acquire a disparity projection image; acquiring a road surface model-based statistic model in accordance with the disparity projection image; and acquiring an evaluation result of a current imaging environment in accordance with a relationship between the statistic model and a predetermined threshold.

Abstract: An image edge extraction device for an automated driving system is capable of extracting an image edge in a rapid manner. The device employs an image edge extraction method that includes: acquiring a grayscale image of a target image; calculating an edge magnitude and an edge angle of the grayscale image, so as to generate an edge magnitude image and an edge angle image; detecting an edge peak of the edge magnitude image in accordance with the edge angle image, so as to acquire each edge point of the edge magnitude image and acquire an edge peak detection result; and performing double-thresholding segmentation on the edge peak detection result through a flooding method, so as to acquire an image edge of the target image.