Abstract: A motor rotor including magnetic steels with a plurality of coatings, a motor, a powertrain, and a vehicle. The motor rotor includes a rotor iron core, a plurality of magnetic steels, a plurality of fastening coatings, and a plurality of protective coatings, the rotor iron core includes a plurality of magnetic steel grooves, and each magnetic steel groove is configured to accommodate one or more magnetic steels. The one magnetic steel includes two first surfaces parallel to the axial direction of the rotor iron core, a gap between the one first surface and the inner wall of the magnetic steel groove is used to accommodate one fastening coating. In the embodiments, the magnetic steel is fastened by using the fastening coating, so that a risk of damage to the protective coating is reduced.

Abstract: A support apparatus is configured to fasten a stylus, a magnet of the stylus includes a first wall surface and a second wall surface facing away from the first wall surface, and a polarity of the first wall surface is opposite to that of the second wall surface. The support apparatus includes a main body, a support frame, a connecting part, and a stylus fastener; the stylus fastener includes an annular body and a mounting space formed by the body, the body is magnetic and includes an inner wall surface and an outer wall surface, and a polarity of the inner wall surface is opposite to that of the outer wall surface; the stylus is configured to mount in the mounting space.

Abstract: A capture method for flue gas from a chemical industrial park is performed as follows. A flue gas is analyzed to obtain composition and ingredient content, and then pre-processed. Classified capture is performed on ingredients of a pre-processed flue gas to obtain a residual tail gas and semi-processed products. Specifically, A classified capture model is constructed and trained, and the analysis data of the pre-processed flue gas is substituted to the trained model to obtain a classified distribution result, based on which the flue gas is distributed into the capture modules according to category for classified capture.

Abstract: A circuit board and an electronic device is provided. The circuit board includes: a signal layer, where the signal layer includes at least one set of differential wires, and the at least one set of differential wires includes a first differential wire and a second differential wire that are insulated from each other; the first differential wire includes a first part, a second part, and a third part that are arranged successively in an extension direction of the first differential wire; and the second differential wire includes a fourth part, a fifth part, and a sixth part that are arranged successively in an extension direction of the second differential wire; and a ground plane, where the ground plane is disposed on at least one side of the signal layer, and is insulated from the signal layer; and the ground plane is provided with a first hollowed-out portion.

Abstract: A method for controlling heating of a motor and a related controller are provided. The method includes: obtaining a heating target temperature value; determining, based on the heating target temperature value, a heating motor that needs to generate heat from a plurality of motors of a multi-motor drive system and heat generation power of the heating motor; and sending a first control instruction to the heating motor. The first control instruction is used to respectively input harmonic currents to three phases of windings of the motor, so that the heating motor generates heat based on the heat generation power. According to the application, the heating target temperature value is obtained, and the quantity of heating motors can be flexibly controlled to generate sufficient heat generation power.

Abstract: The present invention discloses a disparity estimation optimization method based on upsampling and exact rematching, which conducts exact rematching within a small range in an optimized network, improves previous upsampling methods such as neighbor interpolation and bilinear interpolation for disparity maps or cost maps, and works out a propagation-based upsampling method by the way of network so that accurate disparity values can be better restored from disparity maps in the upsampling process.

Abstract: A disparity image fusion method for multiband stereo cameras belongs to the field of image processing and computer vision. The method obtains pixel disparity confidence information by using the intermediate output of binocular disparity estimation. The confidence information can be used to judge the disparity credibility of the position and assist disparity fusion. The confidence acquisition process makes full use of the intermediate output of calculation, and can be conveniently embedded into the traditional disparity estimation process, with high calculation efficiency and simple and easy operation. In the disparity image fusion method for multiband stereo cameras proposed by the method, the disparity diagrams participating in the fusion are obtained according to the binocular images of the corresponding bands, which makes full use of the information of each band and simultaneously avoiding introducing uncertainty and errors.

Abstract: This application provides a support apparatus. The support apparatus is configured to fasten a stylus, a magnet of the stylus includes a first wall surface and a second wall surface facing away from the first wall surface, and a polarity of the first wall surface is opposite to that of the second wall surface.

Abstract: The present invention belongs to the field of image processing and computer vision, and discloses an acceleration method of depth estimation for multiband stereo cameras. In the process of depth estimation, during binocular stereo matching in each band, through compression of matched images, on one hand, disparity equipotential errors caused by binocular image correction can be offset to make the matching more accurate, and on the other hand, calculation overhead is reduced. In addition, before cost aggregation, cost diagrams are transversely compressed and sparsely matched, thereby reducing the calculation overhead again. Disparity diagrams obtained under different modes are fused to obtain all-weather, more complete and more accurate depth information.

Abstract: An electric drive system and a heating method. The electric drive system includes an inverter circuit, a direct current-direct current conversion circuit, and a controller. An input end of the inverter circuit is connected to an input end of the electric drive system, and an output end of the inverter circuit is connected to three-phase motor windings of an electric excitation synchronous motor. An input end of the direct current-direct current conversion circuit is connected to the input end of the electric drive system, and an output end of the direct current-direct current conversion circuit is connected to an excitation winding of the electric excitation synchronous motor. In this solution, a heating apparatus does not need to be disposed when the power battery pack is heated, thereby reducing costs and saving space.

Abstract: The present invention discloses a large-field-angle image real-time stitching method based on calibration. First, a calibration algorithm is used to solve the positional relationship between cameras, and the prior information is used to solve a homography matrix between images. The system is easy to build, and the program is simple and easy to implement; an overlapping area ROI of images can be calculated by the homography matrix between images, and an energy model thereof can be built and solved with a graph cut algorithm; the graph cut algorithm has high time complexity and depends on the number of nodes in a graph; here, images are divided into layers, and solutions are obtained layer by layer and iterated; and finally, a stitched image is further optimized by simple linear fusion of stitching seams and histogram equalization of the stitched image.

Abstract: A multispectral camera dynamic stereo calibration algorithm is based on saliency features. The joint self-calibration method comprises the following steps: step 1: conducting de-distortion and binocular correction on an original image according to internal parameters and original external parameters of an infrared camera and a visible light camera. Step 2: Detecting the saliency of the infrared image and the visible light image respectively based on a histogram contrast method. Step 3: Extracting feature points on the infrared image and the visible light image. Step 4: Matching the feature points extracted in the previous step. Step 5: judging a feature point coverage area. Step 6: correcting the calibration result. The present invention solves the change of a positional relationship between an infrared camera and a visible light camera due to factors such as temperature, humidity and vibration.

Abstract: The present invention discloses a multispectral stereo camera self-calibration algorithm based on track feature registration, and belongs to the field of image processing and computer vision. Optimal matching points are obtained by extracting and matching motion tracks of objects, and external parameters are corrected accordingly. Compared with an ordinary method, the present invention uses the tracks of moving objects as the features required for self-calibration. The advantage of using the tracks is good cross-modal robustness. In addition, direct matching of the tracks also saves the steps of extraction and matching the feature points, thereby achieving the advantages of simple operation and accurate results.

Abstract: The invention discloses a deep network lung texture recognition method combined with multi-scale attention, which belongs to the field of image processing and computer vision. In order to accurately recognize the typical texture of diffuse lung disease in computed tomography (CT) images of the lung, a unique attention mechanism module and multi-scale feature fusion module were designed to construct a deep convolutional neural network combing multi-scale and attention, which achieves high-precision automatic recognition of typical textures of diffuse lung diseases. In addition, the proposed network structure is clear, easy to construct, and easy to implement.

Abstract: The invention discloses an unsupervised content-preserved domain adaptation method for multiple CT lung texture recognition, which belongs to the field of image processing and computer vision. This method enables the deep network model of lung texture recognition trained in advance on one type of CT data (on the source domain), when applied to another CT image (on the target domain), under the premise of only obtaining target domain CT image and not requiring manually label the typical lung texture, the adversarial learning mechanism and the specially designed content consistency network module can be used to fine-tune the deep network model to maintain high performance in lung texture recognition on the target domain. This method not only saves development labor and time costs, but also is easy to implement and has high practicability.

Abstract: A method for controlling heating of a motor includes: obtaining a heating target temperature value; determining, based on the heating target temperature value, a heating motor that needs to generate heat from a plurality of motors of a multi-motor drive system and heat generation power of the heating motor; and sending a first control instruction to the heating motor. The first control instruction is used to respectively input harmonic currents to three phases of windings of the motor, so that the heating motor generates heat based on the heat generation power. In this way the heating target temperature value is obtained. Therefore, the quantity of heating motors can be flexibly controlled to generate sufficient heat generation power.

Abstract: The present invention discloses a multispectral camera external parameter self-calibration algorithm based on edge features, and belongs to the field of image processing and computer vision. Because a visible light camera and an infrared camera belong to different modes, fewer satisfactory point pairs are obtained by directly extracting and matching feature points. In order to solve the problem, the method starts from the edge features, and finds an optimal corresponding position of an infrared image on a visible light image through edge extraction and matching. In this way, a search range is reduced and the number of the satisfactory matched point pairs is increased, thereby more effectively conducting joint self-calibration on the infrared camera and the visible light camera. The operation is simple and results are accurate.