86 results about "Reference space" patented technology

The embodiment of the invention provides a low-altitude flight target conflict identification method and device, and the method comprises the steps: obtaining a basic scale of a space grid according to the features of a target airspace and the performance features of an aircraft, carrying out the multi-level grid division of the target airspace according to the difference logic and the basic scale of the space grid, and constructing a distributed grid reference space; performing height reference conversion and time reference synchronization on the flight data in the reference space, and associating the flight data with the reference space to obtain a target airspace index space; performing high layering on target airspace index space, performing secondary fine-grained flight conflict detection on each index space layer according to a preset time period, judging whether a potential flight conflict risk exists or not, if yes, acquiring real-time state data of the flight targets, predicting the minimum distance between the flight targets, judging whether an actual flight conflict risk exists or not, and if not, determining whether the actual flight conflict risk exists or not; the method can support the real-time conflict recognition of large-scale aircrafts, and improves the flight efficiency and safety of low-altitude aircrafts.

The invention relates to a three-dimensional grid model processing method, computer equipment, a readable storage medium and a program product. The method comprises the steps of performing voxelization on a three-dimensional grid model of a target object to obtain a plurality of voxels corresponding to the target object in a preset reference space; determining the visibility value of the voxel according to the projection information of the voxel under the preset camera visual angle; determining a position relation label of the voxel relative to a reference point according to a communication relation between the voxel and the reference point in a preset reference space; screening out a target voxel from the voxels according to the visibility values and the position relation labels of the voxels; and determining model characterization parameters of the three-dimensional grid model according to the spatial information of the target voxel in the three-dimensional grid model. By adopting the method, the generation precision of the three-dimensional model can be improved.

This invention relates to the field of optical element manufacturing technology, and more particularly to a form and position reference component and a method for manufacturing a multifaceted optical element. The method includes: providing a blank and a form and position reference component; the blank including a connected positioning part and a main body part; determining the target coordinates of the target multifaceted optical element in a reference spatial coordinate system; placing the positioning part in a positioning groove to fix the blank on a base; determining the basic coordinates of the blank in the reference spatial coordinate system; determining the machining allowance based on the difference between the basic coordinates and the target coordinates; machining the blank based on the machining allowance to obtain an initial multifaceted optical element; using a target sphere as a detection reference, sequentially detecting the relative positions and surface shape errors of multiple faces of the initial multifaceted optical element, and iteratively processing until the multifaceted optical element is obtained. This invention at least helps to reduce the manufacturing difficulty of multifaceted optical elements.

The application relates to the technical field of building information model construction, in particular to a parameterized modeling method of a fabricated shear wall BIM structure. The method obtains actual spatial positions, actual stresses, bottom areas, reference spatial positions and reference stresses of the fabricated shear wall; according to the included angle between each fabricated shear wall and its adjacent fabricated shear wall in each construction layer, the difference between the actual stresses and the reference stresses of the adjacent fabricated shear wall, the difference between the actual spatial positions and the reference spatial positions of the adjacent fabricated shear wall and the bottom area of the fabricated shear wall, the layer internal error degree of the construction layer is obtained; according to the layer internal error degree of each construction layer and the difference between the layer internal error degree of the lower construction layer and the layer internal error degree of the lowest construction layer, the comprehensive error degree of the construction layer is obtained to mark the high-risk construction layer. The application accurately marks the high-risk construction layer, realizes accurate identification and visualization of construction errors, and is beneficial to timely management and control of the construction errors.

According to the present invention, a spatial mesh acquired by using a spatial recognition unit of smart glasses to scan a space including a target location in a normal state is pre-registered as a reference spatial mesh. Furthermore, two-dimensional image data of a flat surface in a normal state are pre-registered as reference image data. During abnormality detection, a worker wearing the smart glasses enters a work area and performs a scan to acquire a target spatial mesh. If the target spatial mesh satisfies a detection condition, the target spatial mesh is compared with the reference spatial mesh. Meanwhile, if the target spatial mesh does not satisfy the detection condition, the target spatial mesh is converted into a two-dimensional image to acquire target image data, and the target image data are compared with the reference image data.

The present invention discloses a device for remotely verifying cargo packaging and labeling based on VR interaction, relating to the field of virtual reality technology. The device comprises: a three-dimensional environment construction unit, a VR device, a permeation rotation link fusion unit, and a result generation unit. The three-dimensional environment construction unit is used to generate a three-dimensional interactive model containing a complete set of normal lines and establish a unified coordinate reference space within the three-dimensional interactive model. The VR device is used to receive the three-dimensional interactive model and then package it into a section to be verified. The permeation rotation link fusion unit is used to arrange a permeation probe grid for each section to be verified and record a list of slip paths on the surface of the three-dimensional interactive model in a spiral propulsion manner. The result generation unit is used to complete remote verification of the target package. The present invention effectively improves the spatial accuracy, interaction efficiency, and judgment reliability of remote packaging quality verification.

Systems and methods for performing document entity extraction are described herein. The method can include receiving an inference document and a target schema. The method can also include generating one or more document inputs from the inference document and one or more schema inputs from the target schema. The method can further include, for each combination of the document input and schema input, obtaining one or more extraction inputs by generating a respective extraction input based on the combination, providing the respective extraction input to the machine-learned model, and receiving a respective output of the machine-learned model based on the respective extraction. The method can also include validating the extracted entity data based on reference spatial locations and inference spatial locations and outputting the validated extracted entity data.

The application is suitable for the field of data processing, and provides a passing path planning method and system, an electronic device and a computer program product, wherein the method comprises: acquiring a space reference space-time network; the space reference space-time network comprises a plurality of space-time edges, each space-time edge connects two waypoints and corresponds to a space-time range between the waypoints; determining at least one target space-time range corresponding to a space emergency event and passing restriction information corresponding to each target space-time range; adjusting a target space-time edge corresponding to the target space-time range in the space reference space-time network based on the target space-time range and the passing restriction information, to obtain a space passable space-time network; and planning a target passing path for each target flight task in the space passable space-time network. The scheme performs fine management on the space, replans the path for the target flight task, and improves the utilization rate of the space resource.

The application discloses a kind of virtual-real superposition precision test method, system and storage medium, it is related to wearable technology field.The method comprises the following steps: controlling the head-mounted display device to be measured to be in different test poses in turn;Get the first image pair obtained by the image of the display picture and the calibration plate of the double-camera acquisition head-mounted display device to be measured in test pose, according to the first space position of the real mark in the virtual-real pair in the first image in the camera coordinate system and the reference virtual-real relative pose corresponding to the virtual-real pair, determine the reference space position of the virtual mark in the virtual-real pair in the camera coordinate system, according to the second space position and reference space position of the virtual mark in the virtual-real pair in the camera coordinate system, determine the virtual-real superposition precision test result corresponding to the camera of the head-mounted display device to be measured in test pose;According to the virtual-real superposition precision test result of the double-camera of the head-mounted display device to be measured in different test poses, determine the virtual-real superposition precision test result of the head-mounted display device to be measured.

The application provides a video blind area compensation transmission method and server based on dynamic field of view fusion, through acquiring multi-source video stream data, integrating all field of view regions under the same timestamp to a unified global reference space to obtain a global field of view splicing layout, constructing a dynamic field of view topology evolution graph containing a blind area hole outline and a pixel mapping transformation relationship between fields of view according to layout changes of continuous timestamps; performing pixel-by-pixel spatial migration on adjacent field of view video frames according to the pixel mapping transformation relationship of the blind area hole periphery to generate a blind area compensation video segment; performing panorama fusion on the compensation segment and the original video segment to obtain a panoramic video stream; analyzing the distribution pattern of the original collection source and the content remapping source in the panoramic video stream to generate a spatial mask, setting a differentiated encoding transmission strategy for different regions and encoding and distributing. The application realizes high-quality compensation of blind area content and regional differentiated efficient transmission of panoramic video streams.

The invention discloses a self-adaptive writing method and system based on support style feature extraction and template generation, and particularly relates to the technical field of self-adaptive writing. According to the method, the writing system has the active recognition and selection capability on the target style in the generation process, style drifting caused by context accumulation in long text and multi-round generation is avoided, meanwhile, a fixed semantic structure and a variable expression mode are combined based on a template constraint model automatically generated in a dominant style interval, and the method is more efficient and efficient. On the premise of ensuring logic integrity and expression normalization, the flexibility and adaptability of the writing process are improved, and a closed-loop self-adaptive regulation and control mechanism is formed by performing literary and physical feature consistency evaluation on the generated text and dynamically adjusting the template slot position weight.

A method of performing motion estimation for spatially arranged data in a data processor, the spatially arranged data having been previously compressed using a compression algorithm that generates compression meta data representing the spatially arranged data includes for a first region of the spatially arranged data: obtaining compression meta data for the first region, the compression metadata including smoothness information indicative of a smoothness of the first region; determining a search space size based on the obtained smoothness information, the search space size being a size of a search space for applying a region-matching motion estimation algorithm to the first region to match the first region with a corresponding region in reference spatially arranged data within the search space.

The embodiment of the application provides a kind of spaceborne opportunistic communication window parameter prediction method, electronic equipment, storage medium and program product, related to wireless communication technical field, the method comprises: obtaining the orbital parameter information of multiple available satellites, and the spaceborne metasurface is deployed in available satellite;For each available satellite, according to the orbital parameter information, the orbital state information of available satellite in preset time range is calculated;For each available satellite, determine the available satellite that meets the preset discrimination criterion as candidate satellite by screening, and the preset discrimination criterion is that in preset time range, the subsatellite point position of available satellite is located in mirror surface reflection search area;For each candidate satellite, the reference spatial point corresponding to candidate satellite is used as the pointing target of transmitting station and receiving station, and the beam intersection region of transmitting station and receiving station is calculated;For each candidate satellite, based on the beam intersection region corresponding to candidate satellite, the communication window parameter is predicted, and the precision of passive reflection communication window prediction is improved.

The application discloses an AGV fork positioning method and device based on ranging sensor analysis, and a medium, and relates to the technical field of data processing.The method comprises the following steps: configuring ranging, vision and orientation sensors on a target AGV, and constructing a sensor collection device group; activating the device group, collecting multi-dimensional sensing data of the target AGV, including distance, image and azimuth angle data; using the image data to position the environment, and traversing a three-dimensional simulation space of a target scene to extract a local reference space; combining the multi-dimensional sensing data to determine the first relative position of the target AGV fork in the local reference space; analyzing the local reference space to obtain the second relative position of the target object, comparing the difference between the two to obtain positioning difference information, and optimizing the positioning of the target AGV fork based on the difference information, thereby achieving the technical effects of improving the positioning efficiency of the fork and the safety of the operation.

A user equipment (UE) configured for operating in a wireless communication network that supports a plurality of reference signals (RS) such as sounding reference signals, comprises a wireless interface configured for transceiving signals, comprising receiving a configuration signal having a configuration information indicating a reference spatial relation. The UE further comprises a controller for evaluating the configuration information and to determine the reference spatial relation. The UE is configured for using the reference spatial relation as a reference for an uplink RS (UL-RS) in the wireless communication network.

To improve diagnostic accuracy of an elevator.SOLUTION: A diagnostic apparatus creates a reference space for each elevator, compares multidimensional feature quantity data generated from sound-vibration waveform data acquired for the elevator with a reference space prepared for the elevator among reference spaces prepared for respective elevators, and performs diagnosis regarding an abnormality of the elevator on the basis of the result of the comparison.SELECTED DRAWING: Figure 1

A method involving receiving, by a control system, microphone signals obtained by a microphone array; enhancing, by the control system, directional components of the microphone signals, to produce directionally-enhanced microphone signals; calculating, by the control system, spatial covariance matrices based on the directionally- enhanced microphone signals; vectorizing, by the control system, the spatial covariance matrices to produce spatial covariance vectors; determining, by the control system, reference spatial covariance matrices of impulse responses for a range of directions; vectorizing, by the control system, the reference spatial covariance matrices to produce reference spatial covariance vectors; calculating, by the control system, similarities between the spatial covariance vectors and the reference spatial covariance vectors; and estimating, by the control system, one or more sound source directions of arrival based on the similarities.

The invention is suitable for the field of data processing, and provides a passage path planning method and system, electronic equipment and a computer program product, and the method comprises the steps: obtaining an airspace reference space-time network; the airspace reference space-time network comprises a plurality of space-time edges, and each space-time edge is connected with two waypoints and corresponds to a space-time range between the waypoints; determining at least one target space-time range corresponding to the airspace emergency and traffic restriction information corresponding to each target space-time range; based on the target space-time range and the passing restriction information, adjusting a target space-time edge corresponding to the target space-time range in the airspace reference space-time network to obtain an airspace passable space-time network; and in the airspace passable space-time network, planning a target passage path for each target flight mission. According to the scheme, fine management is carried out on the airspace, the path is re-planned for the target flight task, and the airspace resource utilization rate is improved.

The invention discloses a virtual-real superposition precision test method and system and a storage medium, and relates to the technical field of wearable devices. The method comprises the following steps: controlling a to-be-tested head-mounted display device to be in different test poses in sequence; the method comprises the following steps of: acquiring a first image pair obtained by acquiring a picture displayed by a to-be-tested head-mounted display device under a test pose and an image of a calibration plate by double cameras, and obtaining a reference virtual-real relative pose according to a first spatial position actually marked in a camera coordinate system in a virtual-real pair of the first image and a reference virtual-real relative pose corresponding to the virtual-real pair; determining a reference space position of a virtual mark in the virtual-real pair under the camera coordinate system, and determining a virtual-real superposition precision test result of the to-be-tested head-mounted display device corresponding to the camera under the test pose according to a second space position of the virtual mark in the virtual-real pair under the camera coordinate system and the reference space position; and determining a virtual-real superposition precision test result of the to-be-tested head-mounted display device according to the virtual-real superposition precision test results of the to-be-tested head-mounted display device for the double cameras under different test poses.

The embodiment of the present application provides an imaging method and system. The imaging method comprises the following steps: using pseudo-thermal light as probe light, and irradiating the probe light to a moving object to form reflected light; receiving the reflected light by using a single-pixel detector, and determining a Doppler frequency shift distribution of the reflected light relative to the probe light by using a frequency analysis system; obtaining a velocity sequence of the moving object based on the Doppler frequency shift distribution of the reflected light relative to the probe light; and constructing a full-view velocity image and a spatial image of the moving object by using a pre-stored reference spatial thermal light field distribution and the velocity sequence based on a correlation imaging algorithm, wherein the spatial image corresponds to a reflectivity distribution of the moving object, the direction of the velocity of the moving object is perpendicular to the plane where the collection surface of the single-pixel detector is located, and the velocity sequence corresponds to the pre-stored reference spatial thermal light field distribution.

A robotic controller for controlling a robotic arm is disclosed, the robotic controller comprising: a first spatial shaping module configured to provide a shaped first-space target motion by convolving a first-space target motion with a pulse train, wherein the first-space target motion defines a target motion in a first reference space; a second spatial shaping module configured to provide a shaped second-space target motion by convolving a second-space target motion with the pulse train, wherein the second target motion defines a target motion in a second reference space; and a motor controller module configured to generate motor control signals to joint motors based on the shaped first-space target motion and the shaped second-space target motion. This allows for dynamic adjustment of which reference space the input shaping should be performed in, thereby reducing vibration and deviation in one reference space caused by input shaping in another reference space.

To provide a work support method and a work support system that enable a worker to recognize a change in a surrounding situation even in a dark environment.SOLUTION: A space mesh acquired by scanning a space including a target place in a normal state by a space recognition unit of smart glasses is registered in advance as a reference space mesh. The two-dimension image of the flat surface in the normal state is registered in advance as a reference image. When an abnormality is detected, a worker wearing smart glasses enters the work area 101 and acquires a target spatial mesh by scanning. When the target spatial mesh satisfies the detection condition, the target spatial mesh is compared with the reference spatial mesh. On the other hand, when the target spatial mesh does not satisfy the detection condition, the target spatial mesh is converted into a two-dimension image to acquire a target image, and the target image is compared with the reference image.SELECTED DRAWING: Figure 15

The invention relates to the technical field of building information model construction, in particular to a parametric modeling method for a fabricated shear wall BIM structure. The method comprises the steps that the actual space position, the actual stress, the bottom area, the reference space position and the reference stress of the fabricated shear wall are obtained; according to the included angle between each assembly type shear wall and the adjacent assembly type shear wall in each construction layer, the difference between the actual stress and the reference stress of the adjacent assembly type shear wall, the difference between the actual spatial position and the reference spatial position of the adjacent assembly type shear wall and the bottom area of the adjacent assembly type shear wall, the intra-layer error degree of the construction layer is obtained; according to the in-layer error degree of each construction layer, the in-layer error degree difference between the construction layer and the lower construction layer and the in-layer error degree difference between the construction layer and the lowest construction layer, the comprehensive error degree of the construction layers is obtained to mark the high-risk construction layer. By accurately marking the high-risk construction layer, accurate recognition and visualization of the construction error are realized, and timely management and control of the construction error are facilitated.

The invention relates to a hand-object interaction three-dimensional reconstruction method, computer equipment and a program product. Comprising the steps of obtaining a target video sequence and equipment attitude parameters; establishing a mapping relation between the two-dimensional coordinate system and the target three-dimensional coordinate system; mapping a plurality of pixel points included in each of the plurality of video frames to a target three-dimensional coordinate system according to the mapping relationship to obtain a plurality of target three-dimensional sampling points; respectively mapping the plurality of target three-dimensional sampling points into a hand reference space and an object reference space to obtain a plurality of hand target three-dimensional sampling points and a plurality of object target three-dimensional sampling points; performing field attribute fusion rendering processing on the plurality of hand target three-dimensional sampling points and the plurality of object target three-dimensional sampling points to obtain a three-dimensional reconstruction video frame; and arranging the three-dimensional reconstructed video frames to generate a three-dimensional reconstructed video sequence. Therefore, the data of the visible area can be complemented according to the structural adaptation rule of the hand and the object, and the hand and the object can still be accurately restored under the shielding scene.

The invention provides a data processing method and device. The data processing method comprises the following steps: acquiring target direct sound corresponding to a target object and current space attribute information; determining at least one target reference space based on the current space attribute information, and determining a target audio modulation parameter corresponding to each target reference space; based on each target audio modulation parameter, adjusting a target reference reverberation audio corresponding to each target reference space to obtain a target modulation reverberation audio; and generating a target reverberation audio corresponding to the target object based on the target direct sound and the target modulation reverberation audio. According to the invention, the generation efficiency and authenticity of the target reverberation audio are improved.

This invention discloses a robot control method, device, storage medium, and electronic device. The method includes: acquiring a reference pose record of a vision camera on the robot, wherein the reference pose record includes reference coordinate values ​​of the vision camera in a vision calibration board coordinate system and a reference spatial pose of the vision camera in a base coordinate system; acquiring a current pose record of the vision camera, wherein the current pose record includes the current coordinate values ​​of the vision camera in the vision calibration board coordinate system and the current spatial pose of the vision camera in the base coordinate system; if the error between the reference pose record and the current pose record is greater than a first error threshold, controlling the robot to move in the direction of decreasing error until the error is less than or equal to a second error threshold, and resetting the robot's zero position based on the reference spatial pose. This invention solves the technical problems of reduced accuracy and complex recovery processes after robot zero position loss in related technologies.

The invention relates to an arbitrary magnification image super-resolution reconstruction method and device based on double cameras. The method comprises the following steps: acquiring a to-be-processed image and a reference image; determining the scale of the target resolution image based on the target magnification, and generating a target resolution coordinate set corresponding to the scale; and on the basis of the target resolution coordinate set, a preset super-resolution model is utilized to perform query operation and reconstruction operation on the to-be-processed image and the reference image to generate a target resolution image, and the preset super-resolution model comprises a space reference space, a luminosity reference space and a texture reference space. Therefore, the mixed reference space model containing the space reference space, the luminosity reference space and the texture reference space is constructed and utilized to carry out parallel query and reconstruction on the image features in different levels of reference spaces; the problems of poor generalization ability and luminosity distortion or texture blurring of the reconstructed image caused by fixed amplification factor and single alignment space in the prior art are solved.

One-shot medical image feature localization techniques are provided that employ pretrained foundation models and domain knowledge. In an example, a computer-implemented method can comprise determining positions of target features within a target medical image of an anatomical region of a subject based on reference spatial relationships between the target features as defined in reference spatial information, and based on matching reference pixel features respectively associated with the target features with corresponding subsets of pixel features of the target medical image, wherein the reference pixel features comprise template image pixel features extracted from labeled versions of the target features as included in a template medical image depicting the anatomical region of a reference subject. The method further comprises generating label information for the target features identifying the target features and their positions and associating the label information with the target medical image.

The application discloses a port safety monitoring edge computing task unloading scheduling method based on deep learning, relates to the technical field of port safety monitoring, and comprises the following steps: performing deep learning inference on a port safety monitoring video to extract abnormal behavior semantic features, quantifying a task processing process to extract task data scale features, and respectively constructing semantic risk potential energy values and load scale potential energy values based on the abnormal behavior semantic features and the task data scale features; constructing a potential energy confrontation domain based on the direction difference of the semantic risk potential energy values and the load scale potential energy values in a unified reference space, and judging whether the abnormal behavior semantic features and the task data scale features conflict according to the potential energy confrontation domain. The application solves the problem that the scheduling emphasis direction cannot be adjusted based on the semantic risk and the task scale conflict intensity, and realizes the effects of high-risk task priority response and dynamic optimization of a scheduling strategy.

Systems and methods for performing document entity extraction are described herein. The method can include receiving an inference document and a target schema. The method can also include generating one or more document inputs from the inference document and one or more schema inputs from the target schema. The method can further include, for each combination of the document input and schema input, obtaining one or more extraction inputs by generating a respective extraction input based on the combination, providing the respective extraction input to the machine-learned model, and receiving a respective output of the machine-learned model based on the respective extraction. The method can also include validating the extracted entity data based on reference spatial locations and inference spatial locations and outputting the validated extracted entity data.