529 results about "Spatial direction" patented technology

The invention provides a frequency division multiplexing multi-beam anti-interference method for a shaped antenna, and the method comprises the steps: obtaining the signal data of each frequency band according to the multi-beam spatial domain data received by the shaped antenna and a filter of a frequency domain corresponding to the working frequency band of each beam; performing high-resolution spatial spectrum estimation on the signal data of each frequency band by adopting a MUSIC algorithm to obtain an incoming wave space direction of an interference signal; according to the incoming wave space direction of the interference signal, on the basis of a preset multi-beam zeroing anti-interference strategy, self-adaptive weights of all same-frequency beams are obtained in a spatial domain and frequency domain two-dimensional combined processing mode; the adaptive weights of the same-frequency beams are combined, a comprehensive directional diagram is obtained, and a multi-beam interference zeroing result is obtained, according to the method, the whole airspace is covered with the beams of different frequency points, and space-frequency combined suppression of airspace complex interference is achieved.

The invention discloses a visible light-infrared pedestrian re-identification method based on hypergraph-driven soft semantic dynamic learning, and the method comprises the following steps: dividing a pedestrian image into a training set and a test set, and carrying out the data enhancement; pedestrian hierarchical soft semantic features are extracted by using a self-attention mechanism; performing cross-stage feature fusion in channel and space directions by using a gating mechanism; the modal alignment loss is calculated, and the difference between visible light and infrared characteristics is reduced; dynamically exploring a relationship between the extracted soft semantics by using a hypergraph neural network; training the network by using the joint loss until convergence; and re-identifying pedestrians in the test set. By using the method, hierarchical soft semantic features are effectively captured and dynamically fused, modal-invariant features are extracted, the difference between visible light and infrared modals is bridged, the high-order relationship between semantics can be adaptively explored, modal-invariant semantics are effectively learned, the difference between modals is reduced, and the robustness of the method is improved. And the visible light-infrared pedestrian re-identification effect is obviously improved.

The invention discloses an intelligent paint spraying method and device based on visual recognition and electronic equipment, and relates to the field of image recognition. The method comprises the following steps: acquiring an image of a to-be-painted conduit; the image is segmented, and the contour and position coordinates of the guide pipe to be painted are recognized; a key point detection algorithm is adopted to determine the space direction of the to-be-painted guide pipe; according to the contour, the position coordinates and the space direction, a three-dimensional parameterized model of the to-be-painted guide pipe is generated; and according to the three-dimensional parameterized model, a nozzle movement track is generated, and a mechanical arm is controlled to spray paint according to the nozzle movement track. By implementing the technical scheme provided by the invention, the paint spraying efficiency is improved.

The invention discloses a hand-eye calibration method suitable for a five-axis series-parallel mechanical arm, which comprises the following steps of: analyzing coordinate conversion error distribution characteristics according to an initial hand-eye calibration matrix calculation result, and separating a total error into two components, namely a translation error and a rotation error through an error vector decomposition algorithm, obtaining distribution rules and variation trends of the errors in different spatial directions; establishing a calibration precision evaluation system according to the verification result, calculating the repeated positioning precision and the absolute positioning precision of the system by counting and analyzing the position deviation data of multiple tests, and obtaining the system performance index in the current calibration state; a self-adaptive updating mechanism is established for system performance indexes, local updating of calibration parameters is automatically triggered when environment temperature change or small deformation of a mechanical structure is detected, and a compensation model is adjusted in an incremental learning mode to avoid comprehensive recalibration.

The invention relates to the technical field of image data processing, in particular to an aluminum material surface oxidation film defect detection method and system. The method comprises the steps that surface images of the surface of the aluminum material at multiple angles are collected through a preset rotary shooting device; constructing a gray difference feature vector of each pixel point according to spatial direction vectors and gray value difference features of each pixel point and neighborhood pixel points in the surface image; acquiring matched pixel points of the pixel points at different angles by utilizing a pixel point matching relationship; determining a reflection characteristic change vector according to the gray difference characteristic vector difference characteristic between the matched pixel points under the adjacent angles; determining a defect probability value of the corresponding physical position point according to the modulus length change characteristic of the reflection characteristic change vector; and marking the pixel points of which the defect probability values are not lower than the abnormal threshold value as abnormal pixel points, clustering the abnormal pixel points to obtain the defect area, and performing grade marking on the defect area in the surface image, thereby improving the defect identification accuracy.

The present invention discloses a remote sensing image declouding method using a group sparse prior tensor model, which belongs to the field of information processing technology and comprises the following steps: step 1, obtaining remote sensing images of continuous time nodes, stacking them in sequence along the spectral direction according to the time series, and forming a third-order original tensor with spatial and spectral smoothness; step 2, based on the low-rank tensor representation, characterizing the low-rank property of the clean component, decomposing the clean component into a spatial factor and a time-spectral factor according to the set rank through the low-rank tensor representation, and writing this representation relationship as a constraint condition; step 3, based on l 2,1 The norm regularization characterizes the group sparsity of the spatial factors of the clean component. The spatial factors are subjected to differential operations along two spatial directions to obtain the differential image. 2,1 The norm constructs a group sparse constraint term based on the spatial factor. The invention is used to realize efficient and accurate cloud removal of multi-temporal remote sensing images in complex scenes.

Apparatuses, methods, and systems are disclosed for determining a best beam for SL communication. One method (800) at a transmitting entity includes configuring (805) a SL RS for beam establishment transmission and performing (810) a plurality of transmissions of the SL RS, where each of the plurality of transmissions is associated with a different spatial direction, and where each of the plurality of transmissions is performed using one of a plurality of transmit beams. The method (800 includes) receiving (815) a feedback transmission from a Rx UE, where the feedback transmission indicates support of beam correspondence at the Rx UE, and determining (820) a best transmit beam of the plurality of transmit beams based on the received feedback transmission.

The invention relates to an AR (Augmented Reality) space true north calibration method, device and equipment and a medium. The method comprises the following steps: acquiring fixed solution positioning data in a moving process by utilizing RTK (Real-Time Kinematic) equipment; based on the fixed solution positioning data, selecting a first positioning point and a second positioning point, calculating a coordinate azimuth angle between the two positioning points by using Gaussian positive and negative calculation, and calculating a meridian convergence angle at the first positioning point; calculating an included angle between a connecting line of the first positioning point and the second positioning point and the true north direction based on the coordinate azimuth angle and the meridian convergence angle to obtain a geographic true north direction angle; and continuously monitoring data of a gyroscope of the RTK equipment and a gyroscope on the AR running equipment, and dynamically adjusting the true north direction angle in the AR space by adopting a double-loop control structure based on the geographic true north direction angle, so as to ensure that the AR space is consistent with the true geographic direction. Compared with the prior art, the method has the advantages that the AR space direction precision is improved from + / -5 degrees to + / -0.1 degrees, and the surveying and mapping standard is achieved.

The invention relates to the technical field of laser radars, and provides a laser radar angular resolution enhancement method, which comprises the following steps of: obtaining a spatial direction priority according to a vehicle course, road information and target information obtained by a vehicle external sensor so as to dynamically adjust laser pulse density and energy level; scanning data generated after N circles of continuous scanning serve as a composite frame, the starting angle of each circle is shifted, multiphase filtering and coherent superposition are conducted in a digital domain, and the effective angular resolution is obtained. The invention further discloses a laser radar device, the method and the device can adjust the pulse density and energy distribution in the ROI direction in real time according to the dynamic scene of the vehicle, the total pulse number is kept unchanged, and the total power consumption is not increased. The effective horizontal angle resolution is improved through inter-frame phase offset and multi-phase synthesis. A corner reflector and an IMU (Inertial Measurement Unit) are integrated in the laser radar, and phase and ranging errors are corrected in real time through periodic loopback calibration, so that the angle stability is kept.

The invention belongs to the technical field of remote sensing image segmentation, and particularly relates to a double-branch water body small target image segmentation method based on feature efficient interaction, which comprises the following steps: preparing a data set, constructing a network model, training the network model, selecting a proper loss function and evaluation index, and determining a segmentation model. According to the multi-scale detail feature interactive aggregation encoder, efficient fusion of multi-scale features and effective supplement of implicit relative position encoding information are achieved; the long-distance feature efficient capture encoder increases the edge segmentation effect on the small target image of the water body by processing features along a specific space direction; the cavity space convolution pyramid module based on the large convolution kernel is used for improving the ability of the model to learn a large-scale effective receptive field; the non-significant feature extraction module is used for filling up the deficiency of non-significant features. The whole network adopts a learning strategy of parallel connection of global and local features and series connection from a large scale to a small scale, and effectively extracts different scale information of the water body image.

The invention discloses an ISAC angular domain energy imaging method and an ISAC angular domain energy imaging system based on actual measurement channel response calibration ray tracing, and mainly solves the problem that an imaging model faces serious channel mismatch and cross-scene generalization limitation due to the fact that simulation data lacks physical consistency constraint in the prior art. According to the scheme, the method comprises the steps that geometric features are extracted from public map data or laser point cloud data, and an ISAC scene environment geometric model is constructed; acquiring an actual measurement channel impulse response containing multipath information by using the communication and sensing integrated equipment; performing path matching on the actual measurement channel impulse response and the ray tracing simulation channel response, inverting environment propagation parameters and correcting scattering parameters; and inputting the calibrated parameters into a ray tracking model, counting energy contribution in each space direction under the condition of a single antenna, obtaining angular domain energy distribution and confidence coefficient, and mapping the angular domain energy distribution and confidence coefficient to a spherical grid to form an imaging result. According to the method, physical mismatch between simulation and real environments is effectively eliminated, low-cost and high-precision angular domain energy imaging and confidence evaluation are realized under the condition of a single antenna, and the method can be used for imaging reconstruction of an ISAC system, environmental perception and generation of a neural network training data set.

Disclosed is a method comprising determining a spatial direction for a time interval between a first reference signal resource set in a first time slot and a second reference signal resource set in a second time slot; and transmitting one or more uplink transmissions and / or receiving one or more downlink transmissions according to the determined spatial direction during the time interval.

Embodiments of the disclosure provide a method, device and computer readable medium for detecting cells in scenarios of carrier aggregations. According to embodiments of the present disclosure, if the terminal device receives information indicating to connect to a different cell from the currently connecting cell, the terminal device detects the different cell in a spatial direction of the beam on which the information is received. In this way, a significant reduction in terminal device search and measurement effort is achieve, which leads to significant reduction in the latency.

The invention relates to a multi-scale remote sensing image target detection method and system based on frequency fusion in the technical field of remote sensing image target detection, and the method comprises the steps: firstly extracting the multi-scale features of to-be-detected remote sensing image data through a ResNet network, and then carrying out the channel adjustment, and obtaining a first feature map, a second feature map, a third feature map and a fourth feature map of which the scales decrease progressively; then splicing the first feature map and the second feature map in a channel direction, and performing channel adjustment to obtain a first fusion feature map; inputting the first fusion feature map into a shallow multi-branch representation fusion network to obtain a second fusion feature map; and under a frequency interaction Transform framework, serially performing channel direction frequency interaction and space direction frequency interaction on the second fusion feature map, the third feature map and the fourth feature map to obtain a frequency fusion multi-scale feature map. And finally, inputting the frequency fusion multi-scale feature map into a detection head network to obtain a regression prediction result and a classification prediction result. According to the method, the precision of remote sensing image multi-scale detection can be improved.

Embodiments of the present disclosure relate to methods and devices for channel state information (CSI) transmission. In example embodiments, a method implemented in a terminal device includes performing a channel estimate between the terminal device and a network device across a predetermined frequency range for a set of beams having different spatial directions; determining, based on the channel estimate, first indication information indicating at least one beam selected from the set of beams and second indication information indicating frequency-related information for the at least one selected beam at a plurality of frequency locations in the predetermined frequency range; and transmitting to the network device the first indication information in a first part of a channel state information (CSI) report and the second indication information in a second part of the CSI report.

A method of operating a transmitter node (101) configured to communicate with one or more receiver nodes (102-104) using a re-configurable reflective device. RRD (109), is provided. The RRD (109) is re-configurable to provide multiple spatial filters, each one of the multiple spatial filters being associated with a respective spatial direction (351-353) into which incident signals are selectively reflected by the RRD (109). The method includes repeatedly transmitting reference signals (198) towards the RRD (109) at one or more transmit periods (551-554). The method also includes setting the one or more transmit periods (551-554) based on a re-configuration timing (510) of the RRD (109), the re-configuration timing (510) defining a dwell time (511-513) of the RRD (109) for providing each one of the multiple spatial filters, to thereby counteract a change of one or more receive periods (531) of the reference signals (198) at at least one receiver node (102) of the one or more receiver nodes (102-104) caused by the re-configuration timing (510).

A method is disclosed of a transmitter configured to transmit more than one spatially multiplexed streams having a multi-user physical layer packet for a plurality of users. The plurality of users includes a first type user and a second type user. A first stream is assigned for the first type user and a second stream is assigned for the second type user. The method includes leaving a data field of the physical layer packet empty for the first type user, providing second type user emission strength (in a spatial direction towards the first type user) that falls below a threshold value by controlling a spatial emission pattern associated with the second type user for the physical layer packet, and transmitting the physical layer packet.

The invention provides a route planning method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a state parameter of a vehicle and a target position parameter of a destination of the vehicle, and determining a reward function of an estimation neural network and an action space of the vehicle according to the state parameter and the target position parameter; inputting the state parameters and the action space into an estimation neural network to obtain a plurality of estimation values corresponding to the plurality of space directions; obtaining the number of repeated selection times of each space direction in the plurality of space directions in the estimation neural network, and performing parameter adjustment on the plurality of estimation values according to the number of repeated selection times to obtain a plurality of target values corresponding to the plurality of space directions; and if there is a target value greater than the threshold value in the plurality of target values, determining a target space direction corresponding to the target value greater than the threshold value, and performing route planning according to the target space direction and the speed parameter. The method can reduce the times of repeatedly adopting actions, and prevents the training of the estimated neural network from tending to a local optimal solution.

The invention relates to the technical field of trailing vortex dynamic monitoring, in particular to a short-distance parallel runway wake flow dynamic prediction method based on deep learning, which comprises the following steps of: acquiring disturbance energy level and coordinate direction and fitting propagation state, extracting disturbance source features and combining with spatial direction constraint, fitting boundaries according to propagation included angle and speed change rate and classifying, and obtaining a dynamic prediction result. Acquiring a track coordinate course angle and a flight speed, calculating a track vector and a boundary normal included angle, analyzing an interference risk factor in combination with a ratio of the speed to a propagation direction, dividing disturbance levels, and outputting a preliminary prediction result. According to the method, the state vector and the disturbance data cooperatively extract features and constrain the direction, the disturbance source positioning precision is improved, the boundary is described by combining the speed change rate and the propagation included angle, the recognition robustness is enhanced, the risk level is evaluated by fusing multi-dimensional parameters, the disturbance intensity is dynamically corrected, the track deviation is introduced, and the prediction accuracy and the response efficiency are improved.

A projection optics unit (10), in particular an EUV projection optics unit, with a housing structure (128), wherein the housing structure (128) has: an interior space (140) which the housing structure (128) encloses at least in sections, and support sections (146, 148, 150, 152) which extend out of the housing structure (128) facing away from the interior space (140), wherein an optical element (102) of the projection optics unit (10) can be arranged at least in sections within the interior space (140), wherein the housing structure (128) is a one-piece component, and wherein the housing structure (128) has a dimension of at least 2,900 mm in at least one spatial direction (x, y, z).

The invention relates to a spatial spectrum dimension scanning method, in particular to a Mamba spatial spectrum dimension scanning method for a hyperspectral image classification task, which comprises the following steps of: 1, for an input hyperspectral image tensor, performing rotation and turnover construction on an input image through four spatial directions to obtain a hyperspectral image tensor; step 2, performing interval snakelike scanning on the view in each direction; performing interval snakelike scanning: reserving pixel points in even columns in even rows; pixel points of odd columns are reserved in odd rows, and the sequence of the selected pixels in the row is reversed so as to simulate the scanning characteristic of the snakelike path. And the feature expression capability and the calculation efficiency in a hyperspectral image classification task are improved. A scanning mechanism of jump sampling and snakelike traversal is introduced in the spatial dimension, redundant sampling in the spatial dimension can be effectively reduced, spatial structure information of the image is reserved, and the classification precision of the hyperspectral image is improved on the premise of ensuring the integrity of the image spectrum and the spatial information.

Wingless aircraft (1) with several electric motor-driven lifting rotors (3) rotating about different rotor axes (2), wherein the aircraft (1) has at least one energy storage device (21) for providing the electrical energy required to operate the lifting rotors (3), at least one control device (22) for controlling the lifting rotors (3) and for communication with a ground station, and at least two camera devices (4) for capturing a panoramic image, wherein fields of view of the camera devices (4) intersect at a distance from the aircraft (1) and form a visual space surrounding the entire aircraft (1) in all spatial directions, in which an environment of the aircraft (1) is completely imaged, characterized in that a smallest, spherical rotor envelope (5) enclosing all lifting rotors (3) has a larger volume than a smallest spherical camera envelope (6) enclosing camera lenses (7) of all camera devices (4).

The invention discloses a charged body flight path sensing method based on an electrostatic induction principle. The charged body flight path sensing method comprises the following steps: capturing an electrostatic field signal generated by a flying charged body through a hemispherical electrostatic induction electrode array; each detection electrode is composed of an induction plate, an insulation substrate and a shielding electrode, the space directivity of the induction plate is effectively improved, and lateral electrostatic field interference is reduced. And an amplification circuit in the rear-stage high-resistance antistatic sensor independently amplifies signals of each detection electrode, and digitally acquires the signals through a multi-channel oscilloscope. A multi-gene symbol regression method is combined with a genetic algorithm and a linear least square method, a mathematical expression is optimized to minimize a prediction and target output error, and a circumference absolute error between a prediction value and a target value is calculated. And finally, filtering and demigration processing are carried out on the collected signals, the time difference of signal peak moments is mined, a time characteristic value data set of the flight path is constructed, and accurate data support is provided for analysis of the flight path of the electrified body.

Apparatuses, methods, and systems are disclosed for directional LBT procedure for DRS transmission. One apparatus includes a processor and a transceiver that is operable on unlicensed spectrum. The processor indicates block locations within a Discovery Reference Signal (“DRS”) transmission window for a plurality of candidate Synchronization Signal / Physical Broadcast Channel (“SS / PBCH”) blocks. The processor performs a Listen-Before-Talk (“LBT”) procedure for a plurality of DRS transmissions within a DRS transmission window and controls the transceiver to transmit—for a given spatial direction—a SS / PBCH block upon successful LBT for the given spatial direction.

A quad-polarized antenna system according to the present invention comprises a plurality of RF chains, and an antenna array in which rows of first dual-polarized antenna units and rows of second dual-polarized antenna units are alternately arranged in a horizontal direction. The first dual-polarized antenna unit and the second dual-polarized antenna unit have different dual polarization characteristics from each other. The rows of first dual-polarized antenna units are used to form at least one first beam and at least one second beam which have + / −45° polarizations, and the rows of second dual-polarized antenna units are used to form at least one third beam and at least one fourth beam which have 0° / 90° polarizations. The first beam, the second beam, the third beam, and the fourth beam are formed towards different spatial directions, and the first and third beams correspond to main lobes, and the second and fourth beams correspond to grating lobes.

Linear guide having a profiled body extending along an axis of movement and a carriage which is mounted on the profiled body such that it can move linearly along the axis of movement and which has a rolling bearing unit, which bears with at least one rolling element against a guideway. The guideway has two guide rails which are arranged in a row along the axis of movement and which are each positively received on the profiled body in spatial directions aligned transversely to the axis of movement, in which mutually opposite end faces of the two guide rails delimit a joint region and in each case adjacent to the joint region between the respective guide rail and the profiled body a material connection region is formed, which extends at most over 10 percent of a total length of the respective guide rail along the axis of movement.

An optical system (200, 300, 400, 500) comprising a component (202), a support structure (204) for supporting the component (202), a vibration decoupling unit (206) for decoupling the component (202) from a vibration of the support structure (204), wherein the vibration decoupling unit (206) comprises a first spring element (208) connected to the component (202), a second spring element (210) connected to the support structure (204), an intermediate mass (212) connected to the first spring element (208) and the second spring element (210), and a coupling mass (214, 502, 504), wherein the coupling mass (214, 502, 504) is connected to the component (202) via at least one flexible element (216, 302, 304, 506, 510). intermediate mass (212) is connected, and wherein the flexible element (216, 302, 304, 506, 510) has an asymmetric stiffness (c) considered in at least two spatial directions (x, y). x , c y ) exhibits.

An optical system (100) for a projection exposure system (1), comprising an optical element (104, 106, 108), and a mount (132) which supports the optical element (104, 106, 108), wherein the mount (132) has a displacement device (138) which is configured to displace the optical element (104, 106, 108) linearly along exactly one spatial direction (152, 154, 156) in the event of a heat-induced deformation of the mount (132).

The invention relates to the technical field of voice signal processing, and particularly provides a voice separation method, device and system irrelevant to array geometry. The method is suitable for various microphone array structures, adopts a virtual microphone estimation mechanism to generate a virtual channel signal for enhancing spatial information density, combines frequency spectrum-time features and spatial direction features, and extracts multi-modal representation through a spatial dictionary learning and attention fusion module. And the extracted features are further input into a layered double-path modeling network, and global dependency relationships are respectively modeled on a time axis and a frequency axis, so that high-precision separation of voices of multiple speakers is realized. The system has good array structure adaptivity, can adapt to channel number changes and array shape differences, and has good application value in scenes such as teleconferences, voice recognition front ends and vehicle-mounted voice processing.