131 results about "Probe target" patented technology

The invention belongs to the technical field of exploration resource planning, and particularly discloses an interactive situation exploration resource awareness and planning method and system, and the method comprises the steps: collecting and organizing exploration resources inside and outside a cluster in real time; acquiring situation information of the detection task and sensing target state information of a detection target in the detection task in real time according to the situation information; calculating and determining various relation information of the detection node and the detection target according to the node state information and the target state information; the detection task, the node state information, the target state information and the relation information are combined with a user input instruction and a first cooperation request to serve as input information, and the input information is input into a multi-mode large model for task understanding; the multi-modal large model is utilized to call a plurality of different professional models according to the task type of the detection task to generate the planning scheme in parallel, and the flexibility and efficiency of detection task execution can be improved.

The invention relates to the technical field of ultrasonic detection, and discloses a robot ultrasonic detection method, device and equipment based on three-dimensional perception and a medium, and the method comprises the steps: obtaining three-dimensional point cloud data of the surface of a target object; generating a scanning path for detecting the target object based on the three-dimensional point cloud data; controlling a motion execution device to drive the detection probe to move along the scanning path to obtain ultrasonic image data of the internal structure of the target object; in the moving process of the detection probe, the contact force between the detection probe and the target object is maintained within a preset force value range; analyzing the ultrasonic image data, identifying a lumen contour and determining a narrowest position point; and adjusting the posture of the detection probe at the narrowest position point and executing secondary detection to obtain hydrodynamic data. The self-adaptive scanning path is generated through the three-dimensional point cloud data, the movement and the contact force of the detection probe are controlled, the ultrasonic image and the space position are associated, and the problems that the detection path is not attached to the curved surface, the contact force fluctuates, and the image space is not synchronous are solved.

An autonomous mapping system defines the probing behavior of a mobile robot in a physical environment according to a multi-objective optimization. Through multi-target optimization, the detection behavior of the robot depends on a joint consideration of two or more detection targets, such as speed, coverage, and consistency. In at least one embodiment, the autonomous mapping system is customizable by a user through a user interface that allows the user to prioritize and / or select probe targets considered in multi-target optimization. The autonomous mapping system in one or more embodiments combines a favorable planning manner, for example, loop closure prediction for consistent mapping, kinematic dynamic prioritization for smooth trajectory generation, local refinement for improving mapping coverage, a time-based blacklist table for managing detection targets, a 2D attraction layer and recovery behavior for efficient path planning, and the like. And a recommendation system enabling an operator / user to refine subsequent probing operations, in particular for re-mapping.

The invention provides a low-altitude weak target detection method and device based on synthetic wavelength, which can be applied to the field of target detection. The method comprises the following steps: imaging echo data of a to-be-detected area without any to-be-detected target to obtain a first image; imaging the echo data of the to-be-detected area with the to-be-detected target to obtain a second image; performing interference operation on the first image and the second image to obtain a phase interferogram frequency spectrum; cutting the phase interferogram frequency spectrum to obtain a first wavelength phase interferogram and a second wavelength phase interferogram; generating a differential synthesis wavelength interferogram and an additive synthesis wavelength interferogram according to the first wavelength phase interferogram and the second wavelength phase interferogram; and unwrapping the additive synthetic wavelength interferogram by using the differential synthetic wavelength interferogram, and detecting the target to be detected based on the unwrapped additive synthetic wavelength interferogram. In this way, the target and clutter in the low-altitude environment are effectively recognized, and the detection precision is improved.

The invention discloses a radar detection method for an active electromagnetic regulation and control target. The method comprises the following steps: modeling a radar receiving echo signal after a radar transmitting signal is reflected by an electromagnetic metasurface arranged on a to-be-detected target; carrying out carrier frequency removal and frequency modulation preprocessing on the echo signal, and then carrying out phase unwrapping processing to obtain an absolute phase; performing windowing segmentation processing on the absolute phase, estimating the slope of each segmented phase, and taking the slope average value of the segmented phases as the slope estimation result of the absolute phase; constructing a phase distribution linear function by using the slope estimation result of the absolute phase, and subtracting the absolute phase from the phase distribution linear function to obtain a jump phase item estimation value of the electromagnetic metasurface; constructing a time domain phase compensation function according to the hopping phase item estimation value, and multiplying the time domain phase compensation function by the radar receiving echo signal to obtain a reconstruction signal; and performing matched filtering processing on the reconstructed signal to obtain an output signal.

The present application discloses a visualization method, device and storage medium for predicting radar detection capability, the method comprising: determining the GPS positioning coordinates, sampling interval and target height of the detection target of the radar to be predicted based on a preset detection target; determining the maximum shielding angle and coordinates of the maximum shielding point of the radar to be predicted according to the GPS positioning, target height and shielding angle corresponding to the radar to be predicted and the shielding object; determining the maximum detection slant range of the radar at the target height according to the maximum shielding angle and the coordinates of the maximum shielding point; determining the output value of the detection capability based on the theoretical maximum effective range of the radar and the maximum detection slant range of the radar; inputting the output value and the sampling interval into a preset display module, and realizing the visualization of the radar detection capability through rendering; solving the technical problems that the influence of the selected address on the radar detection capability cannot be visualized and the selection process is relatively complicated and inconvenient.

The invention relates to the technical field of intelligent monitoring equipment, in particular to a radar point cloud target detection system and method based on multi-modal space-time fusion. Comprising the following steps: at least two radar transceivers synchronously collect echo signals of a target at different visual angles, and establish a three-dimensional coordinate system; based on the three-dimensional coordinate system of the target points, the target points of each time slice are clustered, a coordinate set of point cloud clustering is obtained, and whether the point cloud gravity center of each detection target is displaced or not is judged; if the detected target is displaced, capturing a space trajectory of a target point based on the barycentric coordinates, and performing gait analysis on the detected target; and if the detection target does not displace, judging the body posture of the detection target. The method has the advantage of low cost, reliable radar point cloud can be realized, the defects that the traditional point cloud needs multi-antenna MIMO and the cost is high are overcome, body point cloud modeling in the walking process is realized, meanwhile, posture body point cloud and vital sign data are jointly verified, and the reliability is enhanced.

The invention discloses a double-AUV (Autonomous Underwater Vehicle) target tracking path planning method and system based on broadside array detection, and belongs to the technical field of AUV target tracking path planning. The method comprises the following steps: establishing a double-AUV target tracking system model based on broadside array detection; the double AUVs detect target azimuth data through a broadside array; the double AUVs transmit target information revenue and pose data of the AUVs through communication; the double AUVs utilize extended information filtering to realize information state fusion estimation; converting the information state into a target estimation state and predicting a target state; the double AUVs utilize a particle swarm algorithm to realize expected path point planning based on a predicted target state; and respectively controlling each AUV to reach the expected path point. According to the method, continuous detection and tracking of the target can be realized under complex multi-constraint conditions such as actual broadside array detection constraint, double-AUV communication constraint and collision avoidance constraint, and excessive communication and calculation loads are not introduced while the detection effect is improved, so that the method has practical application significance.

The invention belongs to the technical field of target clustering, and particularly relates to a target clustering method based on multi-type photoelectric detection results of an unmanned ship, which can cluster detection data according to a clustering radius and a clustering number, can realize manual correction, and can perform clustering calculation on corrected data again, thereby improving the accuracy of a clustering center. In order to realize post-processing on multi-type target data of photoelectric detection and reduce the influence of noise points on a clustering center, after the detection data is classified, the detection data is clustered by adopting a DBSCAN method according to the clustering radius and the clustering number, so that post-processing clustering can be carried out on multi-type targets of photoelectric detection, and the clustering accuracy is improved. Moreover, a mode that a detection picture corresponds to a detection target is designed, manual correction can be realized, and the corrected data is subjected to clustering calculation again, so that the accuracy of the clustering center is improved.

The application relates to a motion information prediction method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring first fusion data; determining a detected target based on the first fusion data; adjusting the credibility of the detected target according to whether the detected target can be detected by a sensor; determining a to-be-detected target in the detected target according to the adjusted credibility; performing matching processing based on the prior prediction behavior of a reference vehicle around the to-be-detected target and the posterior behavior of the reference vehicle within a set time window; determining the detection information of the to-be-detected target according to the matching result; and predicting the behavior of the to-be-detected target according to the detection information of the to-be-detected target to obtain the predicted motion information of the to-be-detected target. The application can improve the accuracy of predicting the motion information of the detected target.

An unlocking / locking control method and apparatus (10), and a vehicle (100). The unlocking / locking control method comprises: in a locked state, detecting a target (P) within a first preset range (C1) by means of a radar (11), and acquiring a moving speed (V) of the target (P); if the target (P) is detected and the moving speed (V) of the target (P) is lower than a preset speed threshold V0, starting a low-power camera (12) and performing posture recognition on the target (P) within a second preset range (C2) by means of the low-power camera (12), wherein the second preset range (C2) is smaller than the first preset range (C1); if it is determined that the posture of the target (P) satisfies a preset posture condition, starting a depth camera (13) and performing facial recognition on the target (P) within a third preset range (C3) by means of the depth camera (13), wherein the third preset range (C3) is smaller than the second preset range (C2); and if the facial recognition succeeds, sending an unlocking instruction for unlocking.

The embodiment of the application relates to the technical field of laser detection, and discloses a laser radar. The laser radar comprises a shell module, a transceiving module, a scanning module and a calibration module. The transceiving module is accommodated in the shell module and is used for emitting detection light to detect a target object and receiving echo light, the echo light being formed by reflection of the detection light on the target object. The scanning module is accommodated in the shell module and comprises a scanning element, the scanning element can rotate relative to the shell module, and the scanning element is used for receiving the detection light and deflecting the detection light so that the detection light is emitted out of the laser radar. The calibration module is installed on the shell module and comprises a reflection part in a detection field of view of the laser radar, and the reflection part is used for reflecting the detection light emitted from the scanning element to form corresponding echo light. The laser radar can improve the status that, in the related art, when the scanning angle of the scanning element is recalibrated, the laser radar needs to rely on external calibration components and calibration scenes of the laser radar, and then the calibration process is complicated.

The invention provides a real-time illumination rendering optimization method and system for a mobile game scene. In the method, illumination feature extraction is performed on a target scene to obtain scene illumination features: the equipment operation condition of a terminal associated with the target scene is detected, an initial probe layout scheme of the target scene is generated in an equipment offline stage, and the probe position and the probe density of the target scene are adjusted in real time in an equipment operation stage; locally constructing a probe resource pool of the target scene on the equipment based on the probe layout scheme; and calculating a multi-dimensional weight in the probe resource pool, adaptively adjusting the probe position and the local probe density of the local area in the probe resource pool in combination with the motion state of the dynamic object in the target scene, and extracting a target probe layout scheme corresponding to the local area from the probe resource pool in real time during equipment operation. The method is used for real-time illumination rendering of a local area in a target scene. Through staged layout and dynamic adjustment of the probe resource pool, the scene real-time rendering effect is optimized, and the equipment rendering efficiency is improved.

The present application relates to the field of radar, the present application relates to a kind of radar track pairing method and system under the interference environment, the method in it includes: obtaining the multiple detection tracks of radar output and the real track of each real battle situation target, and the real track corresponding to each detection track is determined respectively to obtain pairing result, wherein determining the real track corresponding to certain detection track includes: selecting continuous multiple track points from detection track as to-be-matched track point;The track point in the real track of real battle situation target is interpolated to obtain the to-be-matched track point corresponding to each to-be-matched track point;The positioning error between each real battle situation target's to-be-matched track point and corresponding to-be-matched track point is calculated respectively;Real track corresponding to detection track and detection target are identified.The method of the present application can effectively solve the technical problems that time asynchronization exists when radar track is paired and pairing is prone to error in complex environment.

1. Name of the Design Product: Radar Device (Small). 2. Use of the Design Product: For detecting targets. 3. Design Key Points of the Design Product: Lies in the shape of the design product. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective View 1.

This application discloses a network probing method, a QKD node, and a network probing system, belonging to the field of quantum technology. In this embodiment, a first QKD node in a QKDN receives a first probe request message. The first probe request message carries the identifiers of a second QKD node and a third QKD node. The second QKD node is a key distribution source node, and the third QKD node is a key distribution destination node. The first probe request message also carries a probe target, which indicates the information to be probed between the second and third QKD nodes. The first QKD node determines the probe result based on the probe target and transmits the probe result to the second QKD node. In this embodiment, the key distribution source node can probe a specific target in the key distribution process through the probe request message, facilitating maintenance personnel to perform maintenance on the key distribution process based on the probe results.

The invention discloses a ghost probe target detection method, device and equipment and a medium, and the method comprises the steps: collecting first driving data in a vehicle driving process and image data on a front road, and determining second driving data and driving orientation of a pedestrian, and the position information of a target vehicle and the pedestrian; determining a pulse transmission frequency according to the first driving data; performing feature extraction on the image data to obtain image feature data, and inputting the image feature data into a pulse neural network for prediction according to a pulse transmission frequency to obtain a first prediction result; performing fuzzy clustering according to the first driving data, the second driving data, the driving orientation and the position information, and performing minimization processing on a target function corresponding to the membership degree to obtain a second prediction result corresponding to the ghost probe target; and fusing the first prediction result and the second prediction result to obtain a comprehensive prediction result corresponding to the ghost probe target. The method can improve the detection precision of the ghost probe target, and can be widely applied to the technical field of vehicles.

The invention discloses a beam measurement wire scanning probe device and method, and relates to the technical field of beam measurement wire scanning, the beam measurement wire scanning probe device comprises a motor platform, a wire scanning motion support and a wire target frame body, the wire scanning motion support is arranged above the motor platform, and the wire target frame body is arranged above the motor platform through a fixing frame; the outer wall of the wire target frame body is provided with a sliding plate which is matched with the outer wall of the wire scanning motion support in a sliding mode, a double-rotor linear motor is arranged above the motor platform, the output end of the double-rotor linear motor is connected with the sliding plate, and corrugated pipes connected with the sliding plate are installed on the two sides of the wire target frame body. The device is provided with a wire scanning probe target moving cavity, the two sides of a beam channel are provided with double corrugated pipes and double wire scanning moving supports, the ultrahigh vacuum requirement in the cavity is met, meanwhile, the design requirements that the stroke of a wire target is larger than or equal to 100 mm and the vibration amplitude of the wire target is smaller than or equal to 20 micrometers can be met, and more diversified moving modes such as high-speed and low-speed regulation and control are achieved.

The application discloses a target number estimation method and device, electronic equipment and storage medium. It belongs to the technical field of sensors and can be used for assisted driving and automatic driving. The method comprises: constructing a first rotation matrix of an array direction vector between a first radar and a reference point, and constructing a second rotation matrix of an array direction vector between a second radar and the reference point; obtaining a third direction vector by using the first rotation matrix and a first direction vector of the first radar, and obtaining a fourth direction vector by using the second rotation matrix and a second direction vector of the second radar; and estimating the number of detected targets in a target detection area by using the third direction vector, the fourth direction vector and a source number estimation algorithm. The method can improve the accuracy of target number estimation and the accuracy and efficiency of subsequent target position estimation. Further, the method can be applied to the Internet of Vehicles, such as vehicle external connection V2X, vehicle-to-vehicle V2V and the like.

The invention discloses a multi-target-oriented multi-radar cooperative detection target distribution method, and the method comprises the steps: firstly, carrying out the multi-radar cooperative detection of a multi-target scene, and evaluating the detection performance of a multi-radar system through six constraint conditions; secondly, according to the six constraint conditions, a target matching degree evaluation model is constructed based on an AHP method, and six indexes included in the evaluation type criterion layer and corresponding weights are obtained; and then, according to the weights corresponding to the six indexes, performing Markov decision process modeling on a target distribution problem based on a target matching degree evaluation model. And finally, according to the Markov decision process model, proposing a target matching decision solving framework based on a hierarchical multi-agent deep reinforcement learning algorithm, and outputting a tracking target combination with the highest radar node matching degree. According to the method, the target matching degree evaluation model is constructed by comprehensively considering three aspects, and the problem of training misconvergence caused by a high-dimensional state space and a high-dimensional action space in complex problems is effectively solved.

The invention provides a passive linear array sonar array element level signal output method of a simulation system. The method comprises the following steps: setting parameters; generating a passive target source signal with a high sampling rate; calculating the signal receiving time delay of each hydrophone according to the orientation; simulating and generating each hydrophone to receive a target signal; marine environment background noise received by each hydrophone is simulated and generated; the analog signal, the analog noise and the actual array data are superposed to generate full-array element data; fourier transform and frequency domain beam forming are carried out on the time domain array element level data to obtain a passive space energy spectrum; and carrying out long-time accumulation on the multi-beam time domain data, and carrying out Fourier transform to obtain a multi-beam narrow-band Lofar. The method has the beneficial effects that linear array simulation data and actually measured array data in an ideal scene are fused, a playback function is achieved, and original array data redisk is supported. On the basis, an underwater acoustic target, noise and interference are added, array sample data are output, and trainees are supported to carry out training and assessment such as passive warning detection and target tracking.

The invention discloses a distributed three-dimensional extended target tracking method based on feature selection, and the method comprises the following steps: obtaining the original measurement of each sensor at a target k moment, carrying out the preprocessing of the original measurement, and obtaining the preprocessed original measurement, the preprocessed original measurement is substituted into a GIW-PHD filtering algorithm to obtain estimation state information of a detection target of each sensor, the estimation state information of the detection target is preprocessed to obtain a target state of each sensor, and the target state is selected for feature extraction and fusion to obtain target state information at the moment k. According to the method, feature selection and fusion can be carried out on the target state of the sensor while the data filtering operation time is shortened, and the position information of the three-dimensional expansion target and the estimation precision of the three-dimensional expansion information are improved through feature splicing and fusion.

The invention provides an ultrasonic radar interference point detection method and device and electronic equipment, and the method comprises the steps: obtaining ultrasonic points collected by a second ultrasonic radar assembled on any side of a test vehicle in a driving process along a test lane, and mapping each ultrasonic point to a bird's-eye view (BEV) image; wherein the second ultrasonic radar transmits a second ultrasonic signal to the outside, and the difference between the frequency of the first ultrasonic signal and the frequency of the second ultrasonic signal is not greater than a frequency threshold value. And determining an edge line by using a Hough transform algorithm, wherein the edge line is used for fitting an ultrasonic point corresponding to the outer surface of the detection target in the BEV image. For each ultrasonic point in the BEV image, if the distance between the ultrasonic point and the edge line is smaller than a distance threshold value, marking the ultrasonic point as a normal point; and if the distance between the ultrasonic point and the edge line is not less than a distance threshold value, marking the ultrasonic point as an interference point.

The invention discloses a laser radar target detection performance evaluation method based on Monte Carlo simulation. The method comprises the following steps: configuring hardware system parameters and light field structure parameters of a laser radar in advance; generating a spherical equidistant spiral scanning path, a wave beam pointing unit vector group at each pulse moment under the three-dimensional coordinate system and a range of a detection allowable elevation angle; randomly generating an initial position and an initial movement speed of the target, and ensuring that a speed vector points to the interior of the detection hemisphere; calculating a target position vector at the moment, setting a corresponding threshold judgment method and a detection threshold according to different light field structures, comparing with the beam vector at the corresponding moment, and judging whether the laser radar can successfully detect the target at the current moment; accumulatively counting corresponding capture results or not; and dividing the number of successful detection times by the total number of simulation times to obtain the detection probability. According to the method, the detection performance of the laser radar using different structured light fields on the random target can be accurately, quickly and extendibly evaluated.

A monitoring apparatus, includes: a target node storage part that stores a target node(s), which is a probe target(s) in a network; a probe part that acquires a status of the target node(s) via the network and probes the status; a policy storage part that stores a probe policy(ies) defining a policy(ies) for probing the probe target node(s); and a policy selection part that selects one or more of the probe policy(ies) based on the status of the target node(s); wherein the probe part probes the target node(s) stored in the target node storage part based on the selected policy(ies).

This invention belongs to the field of laser detection technology and proposes a target extraction method based on the cat's eye effect. By controlling the laser switch, one frame of the image is in the laser-on state and the other is in the laser-off state. Using three adjacent frames, the frame difference between two adjacent frames is calculated and superimposed. The superposition of the two frame difference results makes the pixel value of the detected target position much larger than that of other positions, thereby extracting the corresponding threshold. In addition, the superposition of the two frame difference results can eliminate most interference and moving targets, improving the accuracy of target detection. The current input frame and the two frames before it are used as the threshold extraction scheme for the current frame. After the current frame is buffered, the corresponding threshold is obtained as the discrimination condition for its output. The overall implementation is delayed by one frame of image time, with small system latency. Moreover, this method is simple to design, easy to implement, and has wide applicability.

This invention discloses a distributed 3D extended target tracking method based on feature selection, comprising the following steps: acquiring the raw measurements of each sensor at time k; preprocessing the raw measurements to obtain preprocessed raw measurements; inputting the preprocessed raw measurements into the GIW-PHD filtering algorithm to obtain the estimated state information of the target detected by each sensor; preprocessing the estimated state information of the detected target to obtain the target state of each sensor; and selecting the target state for feature extraction and fusion to obtain the target state information at time k. This invention can shorten the data filtering operation time while performing feature selection and fusion of the target state of the sensors, and improve the estimation accuracy of the position information and 3D extended information of the 3D extended target by using feature splicing and fusion.

The application provides a low-altitude weak target detection method and device based on a synthetic wavelength, which can be applied to the field of target detection. The method comprises: imaging echo data of a to-be-detected region without any to-be-detected target to obtain a first image; imaging echo data of a to-be-detected region with a to-be-detected target to obtain a second image; performing an interference operation on the first image and the second image to obtain a phase interference graph spectrum; cropping the phase interference graph spectrum to obtain a first wavelength phase interference graph and a second wavelength phase interference graph; generating a differential synthetic wavelength interference graph and an additive synthetic wavelength interference graph according to the first wavelength phase interference graph and the second wavelength phase interference graph; and unwrapping the additive synthetic wavelength interference graph by using the differential synthetic wavelength interference graph, and detecting the to-be-detected target based on the unwrapped additive synthetic wavelength interference graph. In this way, the target and clutter in the low-altitude environment are effectively identified, and the detection accuracy is improved.

The present invention provides a design method for a space-based infrared point target detection and inspection integrated sensor, including: determining a detection background characteristic analysis process for obtaining target body infrared radiation intensity data and motion characteristic data; according to the detection background characteristic analysis process, taking the sensor detection system as a point target imaging system, analyzing different detection backgrounds; calculating the minimum detection signal-to-clutter ratio SCR based on the discovery probability or false alarm rate requirements; constructing a model, calculating clutter fluctuations, and determining the range of comprehensive noise according to the minimum detection signal-to-clutter ratio value; determining the maximum value of spatial domain fluctuations, the sensor resolution; calculating the focal length, combining the target motion characteristics and the sensor resolution, and calculating the longest integration time of the sensor; calculating the camera noise equivalent radiation intensity, and clarifying the detection dynamic range according to the detection target characteristics; iteratively optimizing various parameters until the design requirements are met, and confirming the effectiveness of the detection and inspection integrated sensor.

A point cloud test method and device are applied to the technical field of detection and can test the point cloud of a body target output by a to-be-detected detection device, and specifically, the detection device can be a millimeter wave radar. During testing, the point cloud testing device matches the true value of the body target with the point cloud of the body target to obtain the matching condition between the point cloud of the body target and the true value of the body target. As the body target is closer to the detection target of the to-be-detected detection device in the real installation environment, the quality of the point cloud output by the detection device can be more accurately tested, and the detection capability of the detection device can be evaluated. In addition, matching is automatically performed according to the true value of the body target and the point cloud of the body target, so that the evaluation error can be remarkably reduced, and the test precision and the test efficiency are improved.