Abstract: A data acquisition and reconstruction method and a data acquisition and reconstruction system for human body three-dimensional modeling based on a single mobile phone. In the aspect of data acquisition, the present application only uses a single smart phone, and uses augmented reality technology to guide users to collect high-quality video data input for a reconstruction algorithm, so as to ensure that the subsequent human body reconstruction algorithm can stably obtain a high-quality three-dimensional human body model. In the aspect of a reconstruction algorithm, the present application designs a deformable implicit neural radiance field. The use of an implicit spatial deformation field estimation model solves the problem that the subject has small motion in the process of collecting data with a single mobile phone; the implicit signed distance field is used to represent human geometry, which has rich expressive ability and improves the accuracy of three-dimensional human model reconstruction.

Abstract: A current sensor includes: four first uniaxial TMR chips and at least two second uniaxial TMR chips, each first uniaxial TMR chip and each second uniaxial TMR chip being located on the same virtual ring, wherein magnetic sensitive directions of the four first uniaxial TMR chips are perpendicular to a radius of the virtual ring, magnetic sensitive directions of two adjacent first uniaxial TMR chips are perpendicular to each other, magnetic sensitive directions of the two second uniaxial TMR chips are parallel to the radius of the virtual ring and opposite to each other, and the two second uniaxial TMR chips respectively have the same positions as two first uniaxial TMR chips; each first uniaxial TMR chip and each second uniaxial TMR chip are configured to collect a magnetic induction intensity, the magnetic induction intensity is configured to calculate a target current value of a to-be-measured wire.

Abstract: In one embodiment, a process is performed during controlling Autonomous Driving Vehicle (ADV). A confidence level associated with a sensed obstacle is determined. If the confidence level is below a confidence threshold, and a distance between the ADV and a potential point of contact with the sensed obstacle is below a distance threshold, then performance of a driving decision is delayed. Otherwise, the driving decision is performed to reduce risk of contact with the sensed obstacle.

Abstract: A method for locating a fault of a server includes: physically connecting a GPIO pin of a BMC to a GPIO pin of target hardware in advance; reading a current state value of the GPIO signal of the target hardware in a power-on and activation process of a mainboard, and loading a corresponding version of the firmware according to the current state value and the condition for switching; and in response to determining that the corresponding version of the firmware is the debug version, outputting serial port log information of the debug version to the BMC, and in response to determining that the corresponding version of the firmware is the release version, determining whether to change the state value of the GPIO signal on a connection between the BMC and the target hardware according to a preset normal activation condition and a system event log.

Abstract: The present disclosure relates to a method for state estimation of a target comprising: obtaining an observation variable of the target at different moments through a plurality of sensors, wherein at least one observation variable is acquired by each sensor; determining a state variable of the target at different moments based on the observation variable; and optimizing the state variable of the target by minimizing a loss function. The loss function includes at least one of a position loss, an orientation loss, a velocity loss, a size loss, or a structural constraint of the target. The method of the present disclosure may obtain a sufficiently accurate state estimate. In addition, an apparatus, an electronic device, and a medium for state estimation of the target are also provided.

Abstract: The present disclosure relates to a method for target state estimation comprising: acquiring a data frame sequence corresponding to a plurality of moments; determining a first time window based on the data frame sequence, the first time window comprising a first set of state variables to be optimized; determining a plurality of second time windows within the first time window, wherein the number of data frames in each second time window is less than the number of data frames in the first time window, there is a repeated data frame in two adjacent second time windows, and there is a second set of state variables to be optimized; and optimizing the second set of state variables in the plurality of second time windows to obtain an optimized first set of state variables. The method of the present disclosure may obtain sufficiently accurate state estimation.

Abstract: A method for reconstructing three-dimensional includes the following operations. At least two frames of first key images for current reconstruction are acquired. A first space surrounding visual cones of the at least two frames of the first key images is determined. The first key images are obtained by photographing a to-be-reconstructed target. A first feature map of the first space is determined based on image information in the several frames of the first key images. The first feature map includes first feature information of voxels in the first space. A first reconstruction result of the current reconstruction is obtained based on the first feature map. A second reconstruction result obtained by previous reconstruction is updated based on the first reconstruction result of the current reconstruction.

Abstract: In an image feature matching method, at least two images to be matched are acquired; a feature representation of each image to be matched is obtained by performing feature extraction on the image to be matched, wherein the feature representation comprises a plurality of first local features; transforming the first local features into first transformation features having a global receptive field of the images to be matched; and a first matching result of the at least two images to be matched is obtained by matching first transformation features in the at least two images to be matched.