Abstract: Techniques for determining predictions on a top-down representation of an environment based on object movement are discussed herein. Sensors of a first vehicle (such as an autonomous vehicle) may capture sensor data of an environment, which may include object(s) separate from the first vehicle (e.g., a vehicle, a pedestrian, a bicycle). A multi-channel image representing a top-down view of the object(s) and the environment may be generated based in part on the sensor data. Environmental data (object extents, velocities, lane positions, crosswalks, etc.) may also be encoded in the image. Multiple images may be generated representing the environment over time and input into a prediction system configured to output a trajectory template (e.g., general intent for future movement) and a predicted trajectory (e.g., more accurate predicted movement) associated with each object. The prediction system may include a machine learned model configured to output the trajectory template(s) and the predicted trajector(ies).

Abstract: The disclosure discloses an integrated riparian system for river/lake silt on-site treatment and application thereof, belonging to the technical field of silt treatment. The integrated riparian system includes three subsystems, namely a silt ecological treatment subsystem, a siphon drainage subsystem and a silt leachate advanced treatment subsystem. The silt ecological treatment subsystem is provided with plants, fillers, an aeration pipe and a water collection pipe from top to bottom, and a vent pipe is connected to the water collection pipe. A siphon in the siphon drainage subsystem is retractable and hump-shaped. The silt leachate advanced treatment subsystem includes a first-stage ecological treatment unit upflow wetland and a second-stage ecological treatment unit surface flow wetland.

Abstract: Embodiments of the present disclosure provide a method and device for selecting a context model of a quantized coefficient end flag. The method comprises: obtaining a scanning position POS of a non-zero coefficient corresponding to current quantized coefficient end flag in a specific scanning order; wherein the scanning position POS is a subscript of the non-zero coefficient in the scanning order; configuring a first context model array, and using a fixed value as the base to calculate the logarithmic value of the value of the scanning position POS plus 1, and according to the logarithmic value, selecting a first context model from the first context model array; and using the first context model to encode or decode a binary symbol of the current quantized coefficient end flag. According to the technical solution of the present application, it is able to improve encoding and decoding efficiency for a quantized coefficient end flag, thereby further improve the efficiency of video encoding and decoding.

Abstract: The present disclosure discloses an inverse tone mapping method, system, device and computer readable medium The method of embodiment of the present application comprises: decomposing the original image into an illumination component and a reflection component, wherein the illumination component represents a global illumination condition of the image, the reflection component representing a color and texture detail of the image; recovering the illumination component to obtain a result of illumination component recovery; recovering the reflection component to obtain a result of reflection component recovery; combining the result of the illumination component recovery and the result of the reflection component recovery to obtain a recovery result image. Compared with the prior art, the inverse tone mapping method according to the embodiment of the present invention can greatly improve the effect of the image recovery.

Abstract: A business prediction method includes: obtaining a first business sample set and a second business sample set; performing training based on the first business sample set and the second business sample set to obtain a business prediction model, and predicting received to-be-predicted business information based on the business prediction model to obtain a business prediction result corresponding to the received to-be-predicted business information. A business prediction apparatus is further provided. The business prediction method and the business prediction apparatus take into account data features of some business samples of being rejected in a business validation, while considering business samples of passing the business validation. This restores a business scenario, reduces the waste of costs of the rejected samples, and balances demands for a modeling sample and a rejected sample reasonably when there are insufficient samples of passing the business validation.

Abstract: The present application provides methods, systems, devices and computer-readable mediums for encoding and decoding transform. A method of the present application comprises: performing transform-encoding on a prediction residual block separately using a plurality of transform matrices, to obtain transformed residual blocks; based on the transformed residual block, determining, by a rate-distortion optimization decision, a transform matrix or a combination of transform matrices matching the residual characteristics of the prediction residual block from the plurality of transform matrices, and determining a transformed residual block to be outputted in a bitstream. Compared with the prior art, the method of the embodiments of the present invention performs a residual transform using transform matrices that are more closely matched with the residual characteristic, thereby improving the expression of the residual signal and improving the coding efficiency of the residual block.

Abstract: An image feature extraction method for person re-identification includes performing person re-identification by means of aligned local descriptor extraction and graded global feature extraction; performing the aligned local descriptor extraction by processing an original image by affine transformation and performing a summation pooling operation on image block features of same regions to obtain an aligned local descriptor; reserving spatial information between inner blocks of the image for the aligned local descriptor; and performing the graded global feature extraction by grading a positioned pedestrian region block and solving a corresponding feature mean value to obtain a global feature. The method can resolve the problem of feature misalignment caused by posture changes of pedestrian, etc., and eliminate the effect of unrelated backgrounds on re-recognition, thus improving the precision and robustness of person re-identification.

Abstract: The application discloses a method, system, device and computer-readable storage medium for inverse quantization, wherein, in some embodiments, determining whether the inverse transform coefficient corresponding to the quantized coefficient in the quantized block can be set to 0, according to the size of the quantized block; when the inverse transform coefficient corresponding to the quantized coefficient can't be set to 0, the quantized coefficient is inverse quantized to obtain a corresponding inverse transform coefficient.

Abstract: The present application provides methods, systems, devices and computer-readable mediums for deblocking filter. A method of the present application comprises: determining a filtering boundary, and then determining a filter pixel group based on the filtering boundary; determining a filter strength of the filter pixel group, comprising: parsing separately a pixel value difference states of pixel points on both sides of the filtering boundary in the filter pixel group to obtain two one-sided flatness FL and FR; calculating a comprehensive flatness FS of the filter pixel group, wherein FS=FL+FR; calculating the filter strength according to FS; filtering calculation of pixel points included in the filter pixel group according to the filter strength.

Abstract: The present specification discloses a method, apparatus, and device for video frame interpolation.

Abstract: Techniques are discussed for determining prediction probabilities of an object based on a top-down representation of an environment. Data representing objects in an environment can be captured. Aspects of the environment can be represented as map data. A multi-channel image representing a top-down view of object(s) in the environment can be generated based on the data representing the objects and map data. The multi-channel image can be used to train a machine learned model by minimizing an error between predictions from the machine learned model and a captured trajectory associated with the object. Once trained, the machine learned model can be used to generate prediction probabilities of objects in an environment, and the vehicle can be controlled based on such prediction probabilities.

Abstract: The present invention provides a lateral flow test device for detecting a coronavirus antibody by immunoassay; the test device includes three lateral flow test strips; a first test strip is directed to the antibody detection of a N full-length protein and/or an S full-length protein antigens/antigen; and a second test strip is directed to the antibody detection of an S-RBD-site protein antigen, and both of the first strip and the second strip are combined to detect novel coronavirus IgG and IgM antibodies, which can practically reduce the possibility of missing detection and wrong detection; further, a third test strip is directed to the detection of a neutralizing antibody at an S-RBD site to rapidly detect the neutralizing antibody having protection effect, thus further helping the prevention of missing detection and helping patients to perform self-detection and judge the situations of recovery, or vaccine immunity.

Abstract: The embodiment of the present specification discloses an image synthesis method, apparatus and device for free-viewpoint.

Abstract: Techniques to predict object behavior in an environment are discussed herein. For example, such techniques may include determining a trajectory of the object, determining an intent of the trajectory, and sending the trajectory and the intent to a vehicle computing system to control an autonomous vehicle. The vehicle computing system may implement a machine learned model to process data such as sensor data and map data. The machine learned model can associate different intentions of an object in an environment with different trajectories. A vehicle, such as an autonomous vehicle, can be controlled to traverse an environment based on object's intentions and trajectories.

Abstract: Techniques relating to monitoring map consistency are described. In an example, a monitoring component associated with a vehicle can receive sensor data associated with an environment in which the vehicle is positioned. The monitoring component can generate, based at least in part on the sensor data, an estimated map of the environment, wherein the estimated map is encoded with policy information for driving within the environment. The monitoring component can then compare first information associated with a stored map of the environment with second information associated with the estimated map to determine whether the estimated map and the stored map are consistent. Component(s) associated with the vehicle can then control the object based at least in part on results of the comparing.

Abstract: The invention provides a lateral flow detection device for detecting a coronavirus by immunoassay, wherein the detection device comprises two lateral flow test strips, a test strip 1 is used to test an antibody to a N full-length protein and/or a S full-length protein, while a test strip 2 is used to test an antibody to a S-RBD site protein, and a combination of the two test strips is used to test IgG and IgM antibodies to novel coronavirus, which further improves a detection rate of serological antibodies and effectively reduces a possibility of missing detection and wrong detection, thereby avoiding any missing detection.

Abstract: A method for designing multi-component high-strength titanium alloy, including the following steps: 1. smelting alloy ingots of specific compositions of the research system 2. cutting metal ingots into cubes of desired sizes; 3. preparing multi-component diffusion multiples. 4. performing vacuum-diffusion and annealing on the prepared diffusion multiples. 5. performing solution and aging treatments on the diffusion multiples after vacuum-diffusion and annealing. measuring the composition, microstructure and microhardness of different areas of the diffusion multiples, establishing the database of “composition-microstructure-hardness” correspondence of the titanium alloy. And 8. selecting a titanium alloy meeting design requirements in the titanium alloy database.

Abstract: A separator including a porous substrate layer, an intermediate layer, and a ceramic coating layer is provided. The ceramic coating layer is disposed on a side of the intermediate layer away from the porous substrate layer. The intermediate layer includes a metal oxide powder. The particle diameter of the metal oxide powder is less than the pore diameter of the porous substrate layer, and at least a portion of the metal oxide powder is embedded in the porous substrate layer. A method of preparing the separator and a lithium-ion battery including the separator are also provided.

Abstract: Techniques for determining lighting states of a tracked object, such as a vehicle, are discussed herein. An autonomous vehicle can include an image sensor to capture image data of an environment. Objects such can be identified in the image data as objects to be tracked. Frames of the image data representing the tracked object can be selected and input to a machine learning algorithm (e.g., a convolutional neural network, a recurrent neural network, etc.) that is trained to determine probabilities associated with one or more lighting states of the tracked object. Such lighting states include, but are not limited to, a blinker state(s), a brake state, a hazard state, etc. Based at least in part on the one or more probabilities associated with the one or more lighting states, the autonomous vehicle can determine a trajectory for the autonomous vehicle and/or can determine a predicted trajectory for the tracked object.