71 results about "Probe target" patented technology

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.

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 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.

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 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 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.

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.

The invention discloses a radar sea-surface target classification method based on channel attention and a dynamic rectification function, and the method comprises the steps: 1, carrying out the classification of a radar sea-surface target based on the classification scene and classification demands of the radar sea-surface target, and reference to the completeness and balance of data set construction; based on a self-constructed or existing radar, samples are extracted from the sea exploration target classification data set, and a training data set and a test data set are constructed; step 2, using a radar sea surface target classification network based on channel attention and a dynamic rectification function to train the training data set; 3, testing the classification network and the network weight coefficient obtained by training, and recording a recall rate and an average precision mean value; 4, training iteration is carried out until the maximum number of times is reached; and step 5, according to the recorded recall rate and average precision mean value of the classifier test, obtaining a classifier with the optimal performance index in all iterations for sea radar target classification. The weak target classification capability of the classification method under the complex sea surface background is enhanced.

The invention relates to the technical field of photoelectric tracking, in particular to a high-energy laser emission aiming tracking system and method.A coarse tracking assembly is arranged to be an infrared light detection assembly and can detect a target all day long; the infrared light detection assembly is in communication connection with the two-axis servo turntable and can send a detected target position to the two-axis servo turntable so as to control the two-axis servo turntable to rotate to track and position a target; the laser illumination assembly is only used for supplementing light to the target when the fine tracking assembly detects and tracks the target, so that the fine tracking assembly can detect the target all day long and improve the imaging definition of the target. The laser illumination assembly is specially used for supplementing light to a target in the fine tracking process, the divergence angle of the laser illumination assembly is reduced, most of energy is irradiated to a small-view-field target area needed by fine tracking, background astigmatism is reduced, the signal-to-noise ratio of fine tracking imaging is increased, the tracking precision is improved, meanwhile, light is prevented from being lost in the background, and the tracking precision is improved. And energy waste is caused.

The invention relates to the technical field of offshore monitoring systems, and discloses a multi-source target fusion judgment method based on an offshore monitoring system, and the method achieves the precise monitoring and recognition of an offshore target through constructing a unified target list and integrating the data of a radar, an AIS (Automatic Identification System), Beidou and other multi-source sensors. The specific implementation comprises the following steps: establishing a multi-source target list, and storing detection target information from different sensors; real-time matching and updating of the target data are realized based on the site ID, the target ID and the target type; and the fusion judgment of the multi-source targets is completed by calculating the fusion degree numerical value between the targets. According to the method, through multi-sensor data fusion, the accuracy and reliability of offshore target monitoring are remarkably improved, the false alarm rate and the omission ratio are effectively reduced, and more perfect technical support is provided for offshore safety monitoring.

The present application is applicable to the field of laser radar technology, and provides a noise processing method, device, equipment and computer storage medium, the above method including: identifying noise points and normal points in point cloud data, the point cloud data contains multiple point cloud points, and the normal point is the point cloud point used to detect the target; judging whether the adjacent point cloud points within a preset range of the noise point are normal points; if the adjacent point cloud point is a normal point, then determining whether the noise point and the adjacent point cloud point are point cloud points on the same target based on the falling edge signal of the noise point and the falling edge signal of the normal point; if the noise point and the adjacent point cloud point are point cloud points on the same target, then correcting the noise point based on the adjacent point cloud point, and the corrected noise point is used to detect the target. The noise processing method provided by the present application effectively avoids the situation where all noise points are directly filtered out in the point cloud data, retains the useful information in the point cloud data processing as much as possible, and thus improves the detection results of the laser radar.

The invention discloses a fluorescence in-situ hybridization method based on super-resolution imaging. The fluorescence in-situ hybridization method comprises the following steps: performing expansion treatment on a to-be-detected sample; and performing in-situ hybridization on the to-be-detected sample by using a probe aiming at a target target. The expansion treatment on the to-be-detected sample comprises the following steps: a1) before in-situ hybridization, performing expansion treatment on the to-be-detected sample; and a2) after in-situ hybridization, carrying out secondary expansion on the sample. According to the invention, a probe for a target is combined with an expansion microtechnique, after cells are expanded, the volume is expanded to about 60 times of the original volume, the resolution effect of a super-resolution microscope can be realized, the detection site is more accurate, and meanwhile, the problems that the original commercial probe is weak in fluorescence signal and cannot obtain a better fluorescence detection result are avoided.

The invention discloses a campylobacter jejuni liquid-phase probe targeted capturing and library building method and a kit thereof, and belongs to the technical field of germ detection. Specific probe enrichment, magnetic bead purification and high-throughput sequencing are combined, and the problems that in the prior art, low-load detection is difficult, information is incomplete, and operation is tedious are solved. Aiming at the characteristics of wide food-borne transmission, multiple low-load samples and strong complex matrix interference of campylobacter jejuni, low-load accurate detection, whole-genome information analysis and high-throughput standardized operation are realized through a liquid-phase probe targeted capture technology; the method is suitable for large-scale sample detection in the fields of food safety detection, clinical diagnosis, public health research and the like.

This system accurately evaluates, using a simple configuration, whether bumper repairs have prevented the vehicle from properly detecting the target object. [Solution] The evaluation device 100 includes an acquisition unit 102a that acquires near-field reflected power, which is the radio wave intensity when radio waves emitted from the radar device are reflected by the bumpers 12 and 14 of a vehicle 10 equipped with a radar device, both before and after repair; a comparison unit 102b that compares the near-field reflected power before and after repair and determines whether there is a difference of more than a predetermined value; and a determination unit 102c that, based on the comparison result, determines that if there is a difference of more than a predetermined value between the near-field reflected power before and after repair, the repair of the bumpers 12 and 14 is unsuitable and the radar device cannot properly detect the target.

1. Name of the designed product: monitoring radar. 2. Use of the designed product: detecting targets by emitting high-frequency electromagnetic waves and receiving their echoes. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The application relates to a target amplitude flicker loss scene-oriented ultra-wideband radar range image enhancement method and relates to the technical field of radar signal processing.The method comprises the following steps: detecting a detection target in a detection scene by using a step frequency ultra-wideband radar, and acquiring frequency domain echo data corresponding to the detection target; based on an iterative unfolding reconstruction network, an imaging target function corresponding to the frequency domain echo data is solved iteratively, and a coarse reconstruction range image corresponding to the detection target is acquired; finally, the coarse reconstruction range image is compensated and enhanced by using an enhancement network, and an enhanced range image corresponding to the detection target is generated; the enhancement network is used for compensating the track cavity of the detection target, and suppressing the sidelobe uplift of the detection target and the residual static clutter of the detection scene under the condition that the amplitude of the detection target flickers and sampling is lost.The application can realize high-quality high-resolution range image reconstruction and enhancement, and provide a stable and high-fidelity range image input for subsequent imaging and positioning and the like.