296results about "Photogrammetry/videogrammetry" patented technology

The invention relates to the technical field of flight path planning, in particular to an autonomous flight path planning method and system for a road slope inspection unmanned aerial vehicle, and the method comprises the following steps: controlling the unmanned aerial vehicle to fly in a road slope region according to a preset flight path, collecting the aerial image data of the unmanned aerial vehicle, analyzing the aerial inspection adaptive feature value of the unmanned aerial vehicle, and determining the flight path of the unmanned aerial vehicle. Judging whether the feature value is lower than a preset inspection adaptation feature threshold value or not; analyzing a field-of-view missing feature set of the unmanned aerial vehicle based on the aerial image data of the unmanned aerial vehicle if the field-of-view missing feature set is lower than the preset routing inspection adaptive feature value threshold; performing flight path planning processing on the unmanned aerial vehicle based on the field-of-view missing feature set; according to the method, the unmanned aerial vehicle is subjected to flight path planning processing on the basis of the field-of-view missing feature set, so that when an aerial picture is deviated, fuzzy or blind areas, judgment and automatic adjustment are performed in real time, self-adaptive optimization of the flight path is realized, and the road slope inspection efficiency is remarkably improved.

The invention provides a ship distance estimation method and device based on an AIS (Automatic Identification System) supervision signal, relates to the technical field of intelligent shipping and water traffic supervision, and solves the problems that the prior art depends on a single sensor or a complex multi-source fusion scheme, so that supervision blind areas, inaccurate distance measurement and system complexity are caused, and the cost is low. And effective distance estimation cannot be carried out on the AIS-free ship. The method comprises the following steps: acquiring and preprocessing AIS data and video data; obtaining an approximate predicted position of the ship at the current moment through the AIS trajectory prediction model, and obtaining a ship target detection frame of the current field angle through the target detection model; dividing the current field angle of the camera into equal credible areas and carrying out space-time matching; and the matched visual features and AIS distance information are fused, an AIS distance is used as a supervision signal to construct a distance regression module, and a target detection model is trained to output a ship distance estimation value. The method is used in the other ship distance estimation process of the shore-based and ship bridge view angle.

The invention relates to a non-inductive security monitoring method and system based on a radio frequency identification technology, and relates to the technical field of data processing. The method mainly comprises the following steps: acquiring original radio frequency data and original video data of a target area in a current time period; respectively carrying out feature extraction on the original radio frequency data and the original video data to obtain a radio frequency feature vector and a visual feature vector; performing feature vector fusion on the radio frequency feature vector and the visual feature vector to obtain a fusion feature vector; inputting the fusion feature vector of the current time period and the fusion feature vectors of N time periods before the current time period into a behavior classification model to obtain a behavior prediction result; if the behavior prediction result is limb movement, determining a limb recognition result corresponding to the current time period according to a limb recognition model; and if the behavior prediction result is gesture motion, determining a gesture recognition result corresponding to the current time period according to a gesture recognition model.

The invention provides a light and heat-dissipating aerospace small-sized calibration lamp mounting seat, which relates to the technical field of aerospace optical small-sized calibration lamp structure fixation, and comprises a substrate mounting seat module, a conductive module, an insulating module and a heat conduction module. The conductive module comprises two chamfered semi-cylindrical conductive copper blocks and two wires with soldering lugs; the insulating module comprises an insulating polyimide isolating layer; the heat conduction module comprises a heat conduction insulation pad which is installed above two copper blocks, the positive electrode and the negative electrode of the two copper blocks are separated through an insulation polytetrafluoroethylene isolation layer, and the semi-cylindrical conductive copper blocks, the polytetrafluoroethylene isolation layer and the substrate installation base are positioned through pin holes. The soldering lug wire is installed on the left semi-cylindrical conductive copper block and the right semi-cylindrical conductive copper block in a pressing mode through top screws. The structure distribution is friendly, the anti-seismic performance is good, a good heat dissipation way is provided for the calibration lamp, and an effective and feasible implementation scheme is provided for fixing the small aerospace calibration lamp.

The invention relates to the technical field of unmanned aerial vehicle surveying and mapping, and discloses a pressure pipeline axonometric mapping system based on an unmanned aerial vehicle, and the system uses a pipeline anchoring relative navigation module to guide the unmanned aerial vehicle to fly along a line with a target pipeline as a reference; the outer diameter and three-dimensional center point coordinates of the pipeline are obtained in real time through an orthogonal contour scanning and parameter resolving module; a self-adaptive flight and measurement control module is used for adjusting the flight distance according to the measured outer diameter feedback, and adjusting sensor parameters according to the imaging quality feedback; meanwhile, the coordinates of the center point are incrementally constructed into a topological graph through an airborne real-time topological graph construction and node processing module, pipe fitting nodes are autonomously detected and recognized, and then a preset strategy is called to conduct refined scanning on the nodes. According to the invention, autonomous navigation independent of global positioning, self-adaptive closed-loop control of measurement and flight, and airborne integrated real-time modeling of pipe network topology and geometric information are realized, and the surveying and mapping precision, the automation level and the operation efficiency are remarkably improved.

The invention discloses a sighting point track measuring method of a sighting telescope. The method comprises the following steps: acquiring at least one sighting scene image comprising a light spot position on a target; for each aiming scene image in the at least one aiming scene image, intercepting a region of interest in each aiming scene image according to the proportion of the light spot pixel number in each aiming scene image to obtain at least one region of interest; and determining the aiming point track according to the at least one region of interest and the firing action of the shooting body. According to the method, the region of interest is dynamically determined according to the proportion of the number of light spot pixels in the first aiming scene image, precise matching with target features can be self-adapted, further, row-column accumulation operation is performed on pixels higher than the proportion, background interference is effectively inhibited, track core features are reserved, and meanwhile, the accuracy of the target features is improved. And the redundant calculation amount is greatly reduced.

The invention provides a photogrammetry integrated control method and system, and relates to the technical field of photogrammetry control, and the method comprises the steps: obtaining multi-source original data, such as a sequence image, an initial point cloud and a real-time attitude parameter; carrying out combined preprocessing of timestamp alignment, point cloud denoising and image distortion correction, and uploading key logs and quality indexes through a consensus mechanism for evidence storage; performing bundle adjustment to solve internal and external orientation elements, and calling block chain historical control points for verification and dynamic adjustment; generating an initial three-dimensional point cloud through dense matching; verifying the point cloud precision by using a high-precision check point, and feeding back a correction instruction when the point cloud exceeds the limit; gridding and texture mapping are carried out on the effective point cloud to generate a three-dimensional model, and achievements are partitioned and stored in edge nodes and are chained for evidence storage; the system comprises a multi-source data acquisition module, a data preprocessing module, an adjustment resolving module, a point cloud generation module, a point cloud verification module and a three-dimensional modeling module. The efficiency, precision and reliability of photogrammetry are effectively improved.

The invention relates to the technical field of unmanned aerial vehicle control, in particular to an unmanned aerial vehicle adaptive shooting method and system based on multiple sensors and AI, and the method comprises the steps: multi-sensor data collection, deep learning fusion processing, multi-modal exception processing, decision-making layer path planning reinforcement, adaptive shooting precision improvement, and a re-planning mechanism. Compared with the defects that environmental perception is incomplete and the shooting quality is suddenly reduced under complex illumination or severe weather due to dependence on a single sensor in the prior art, according to the scheme of the invention, a multi-mode sensor array (laser radar / millimeter wave radar / illumination sensor and the like) and Transform-GNN deep learning fusion architecture is adopted; joint modeling of obstacle positions, dynamic tracks and illumination distribution is realized; therefore, the dimensionality and precision of environmental perception are remarkably improved, and the unmanned aerial vehicle can still output clear and stable high-quality pictures under extreme conditions of strong light, rain and fog and the like.

The invention discloses a water conservancy project slope measurement method based on deep learning, and particularly relates to the technical field of water conservancy project measurement. Acquiring a remote sensing image and digital elevation model data of a to-be-measured area, and constructing a multi-scale remote sensing and topographic feature data set; performing gradient prediction by using a deep neural network model containing a multilayer convolution structure and residual connection, and generating a pixel-level gradient value distribution diagram; performing curved surface fitting and abnormal point correction on the key section to form a continuous and consistent gradient measurement result map; and finally, performing error comparison on a measurement result and historical measured data, outputting an error analysis report, and automatically adjusting model parameters based on error feedback to complete continuous optimization. The method has high precision, high adaptability and intelligent optimization capability, is especially suitable for gradient extraction tasks of complex landforms or engineering control areas, and significantly improves the measurement efficiency and result reliability in water conservancy projects.

The invention discloses a soil heavy metal portable XRF intelligent detection and early warning system integrated with a risk assessment function, and relates to the technical field of environment monitoring. According to the invention, data are collected through a portable equipment system integrating multispectral sensing and an environment probe, a pollution area is accurately locked in combination with an improved clustering algorithm, accurate positioning of a pollution point location is realized by means of cooperative operation of the unmanned aerial vehicle, and the problem of blindness of traditional sampling is effectively solved; a dynamic interference correction and multi-stage calibration mechanism is established, a deep learning and machine learning fusion model is adopted to extract an environmental interference factor, and spectral line processing and an environmental compensation algorithm are combined, so that the accuracy of a detection result in a complex environment is remarkably improved; the efficiency and precision of soil heavy metal pollution treatment are greatly improved by realizing full-process intelligence from risk evaluation to treatment decision, establishing a multi-dimensional risk evaluation system, automatically generating an optimal operation path and intelligently recommending a treatment scheme based on pollution characteristic data.

This invention discloses a capture device for unmanned underwater vehicles (UUVs), comprising a submersible fixed by a mounting frame. The mounting frame is symmetrically mounted with a grasping mechanism for capturing the UUV via a base. The grasping mechanism includes a drive arm driven by the base, with the other end of the drive arm rotatably connected to four corner support frames. The four corner support frames are driven by connecting arms to contact claws for gripping. A groove is provided on the side of the drive arm near the base, and a servo motor is mounted on the base. The servo motor is connected to a gear at one end of a limiting link, transmitting power through the other end of the limiting link to the groove on the drive arm to achieve the movement of the grasping mechanism. This invention also discloses a method for launching and recovering UUVs in conjunction with the above-mentioned launch and recovery device. This invention simplifies precise hook docking operations in high sea states, reduces the dependence of UUVs on computing power during launch and recovery, and improves the automation level of the launch and recovery process.

An imaging device includes a display control unit configured to display a first indicator indicating a recommended imaging position and a second indicator indicating a current imaging position in a superimposed manner on an imaging monitor image, and perform processing for changing display of the first indicator in accordance with image obtaining processing for obtaining image data, and an imaging control unit configured to perform the image obtaining processing in accordance with a result of a matching determination between the first indicator and the second indicator on a screen.

The present application relates to the field of satellite navigation and positioning technology, and more particularly to a Beidou GNSS and visual image information fusion deformation monitoring method, comprising: collecting and preliminarily screening the surface periodic images of a monitoring body to determine a time adding period; sub-pixel refining the images in the time adding period, extracting texture and identification features to obtain a visual displacement field; constructing a carrier phase time difference observation equation to eliminate the integer ambiguity, introducing the visual displacement as a priori constraint and jointly solving multiple epochs to obtain optimized coordinates; and combining RTK data to jointly determine the deformation and adjust the real-time static filter. The present application improves the spatial continuity, trigger reliability and adaptability to harsh environments of deformation monitoring, and realizes the technical upgrade from single-point monitoring to full-field millimeter-level high-precision monitoring.

The invention provides a positioning method and device for an engine in a production line, and relates to the technical field of engine manufacturing. The method is applied to the positioning system, the positioning system comprises a visual assembly and a tray straightening mechanism, and the method comprises the steps that in response to the situation that an engine enters a preset detection area along with a plate chain line, transmission of the plate chain line is suspended; determining the tray type of the tray of the engine on the plate chain line; if the tray type is a non-metal tray, determining a tray inclination angle and an offset, and determining position correction data of a mechanical device for performing visual inspection on the engine according to the tray inclination angle and the offset; and for an image acquired by adopting a target visual assembly in the visual assemblies, performing positioning detection on a preset part of the engine in the image. The position relation between the mechanical device used for subsequent visual inspection and the engine can be corrected in a targeted mode, accurate visual inspection can be achieved, and the risk that the nonmetal tray is damaged due to extrusion can be avoided.

The application relates to the technical field of shaft tunneling machines, in particular to a shaft tunneling machine posture determination system and a posture determination method, which comprises a computer, a plumb instrument assembly, a support platform and a posture acquisition module, wherein: the posture acquisition module is arranged on a load platform at the top of the shaft tunneling machine and comprises a gyroscope, a two-axis inclinometer, a control box and a camera; the support platform is multilayered and arranged above the load platform; the computer is arranged on the upper support platform and is in communication connection with the control box; the plumb instrument assembly is arranged on the inner wall of the shaft and irradiates on the load platform through the measuring channels of the multilayer support platform. The application adopts the combined mode of the plumb instrument, the camera, the two-axis inclinometer and the gyroscope, calculates the posture of the shaft tunneling machine, eliminates the influence of the horizontal deviation value caused by the self-rotation angle of the shaft tunneling machine, and can accurately calculate the horizontal deviation posture of the shaft tunneling machine.

The present application belongs to the field of computer vision and remote sensing photogrammetry, aiming at the problem of being limited by the attitude estimation error of unmanned aerial vehicle and the altitude prior data in the prior art, a target geolocation system and method based on unmanned aerial vehicle image are proposed, the system at least includes a data acquisition module, an end-to-end geolocation module and a benchmark test evaluation module. The method uses the data acquisition module to obtain a data set containing a reference map, a query image and target label information as the data basis and evaluation benchmark of the target geolocation system; the end-to-end geolocation module receives the reference map and the query image, designs a target positioning algorithm, and calculates the geographic coordinates of the target points in the query image; the benchmark test evaluation module quantitatively evaluates the geolocation performance based on the RANSAC homography and the PnP-based pose estimation strategy. The present application improves the geolocation accuracy and reliability by using the system and method.

This invention discloses an intelligent garlic seed posture adjustment device, comprising a feeding module, a posture adjustment module, a vision recognition module, and a drive module. The feeding module is composed of a separable first shell and a second shell, with a feeding port at the top and a guide structure inside, and a discharge hole at the bottom, for receiving garlic seeds and guiding them into the device. The posture adjustment module is rotatably installed inside the shell and has a through-tube cavity for receiving the garlic seeds. The vision recognition module is installed in the shell and is used to capture images of the garlic seed posture within the cavity. The drive module is connected to the posture adjustment module. The vision recognition module determines the orientation of the garlic seed scales and controls the drive module to rotate the posture adjustment module, correcting the garlic seed to an upright posture with the scales facing upwards. If jamming occurs, the shell can be separated for quick cleaning. This invention integrates feeding, recognition, adjustment, and seed dispensing, and has the advantages of compact structure and high correction accuracy.

Range finding devices and target object management systems each having one or more features that enhance their functionality. In some embodiments, a disclosed range finding device includes a target object location area calculation unit that defines near and far edges and side edges of a target location area. In some embodiments, a disclosed range finding device is a passive range finding device that inserts a scale marker into an output image, varies the size of the scale marker in response to user actuation of a scale input, and determines the size of the scale marker and an estimated range to a target object. In some embodiments, a disclosed target object management system includes a processing unit operable to manage new location records for existing and new target objects via target object registers. Other embodiments are disclosed, as are corresponding methods and software.

The application discloses an intelligent early warning method for slope landslide, and comprises the following steps: a. obtaining high-definition open slope orthographic images and terrain raster data; b. installing a slope radar on the opposite side of the open slope; c. installing a first intelligent cruise camera; d. increasing the number of cameras, and synthesizing panoramic photos of the early warning area by using photos taken by i cameras; e. increasing the number of cameras according to the monitoring period of the slope radar; f. determining the three-dimensional coordinate range and the central three-dimensional coordinate of the covered area of each photo; g. screening historical and real-time photos corresponding to the perspective of the early warning area, screening interference factors in the area based on an image artificial intelligence algorithm, and realizing intelligent early warning. The application establishes a mapping relationship between the camera perspective and the three-dimensional coordinates of the mine slope based on computer vision, verifies the early warning information quickly by using an artificial intelligence image processing algorithm, greatly improves the work efficiency, and reduces the labor intensity of personnel.

The invention provides a device for researching metal particle motion by simulating on-off operation of a circuit breaker. The device comprises a simulated circuit breaker, an airflow generating device and a vibration exciter, the airflow generating device is fixedly arranged in an arc extinguish chamber of the simulation circuit breaker, and the vibration exciter is attached to the outer wall of the simulation circuit breaker and can change the position. The airflow generating device can provide different conditions of simulation breaker switch opening airflow for the arc extinguish chamber, the vibration exciter can simulate breaker switch operation vibration at different positions of the outer wall of the breaker, and a glass observation window is arranged at a preset position of the arc extinguish chamber and can observe and shoot the motion trail of metal particles in the arc extinguish chamber. According to the device, the airflow generating device and the vibration exciter are used for respectively and accurately simulating the airflow and vibration environment of the switching operation of the circuit breaker, and non-intrusive visual observation of the motion trail of metal particles is realized through shooting; the device is easy to operate, good in simulation effect and high in goodness of fit with the actual situation, and an effective means is provided for studying the motion behavior of the metal particles in the GIS equipment.

The invention discloses a high and steep slope rock mass structural surface low-altitude remote sensing fine measurement method based on man-machine interaction. The method comprises the following steps: 1, obtaining a regional geologic body structural surface; s2, initializing a coordinate system and preprocessing data; s3, accurately resolving a target geological plane; s4, constructing a reference of a waypoint plane coordinate system; s5, intelligently resolving aerial photography parameters and grid spacing; s6, generating multi-layer waypoint positions; s7, resolving and verifying a waypoint attitude sequence; according to the scheme, it is ensured that the camera view of the unmanned aerial vehicle not only covers a measured structural surface, but additionally covers some surrounding rock masses, and the additional coverage is used for ensuring that feature points can be better matched in the subsequent three-dimensional reconstruction process, so that the precision and integrity of the model are improved, and the accuracy and the integrity of the model are improved. The problems of measurement blind areas and data quality of a traditional method are solved.

The application discloses a kind of urban road width and cross section arrangement form measurement system and method, and the total width of road is calculated from the road region segmentation of road original image;The segmented road region is marked;Image features in the segmented road region are extracted and the corresponding road type is identified;Road classification is carried out according to road region field value and road type field value;The field value of Road_sort of M0 region and W 侧分带L And the field value of W 侧分带R , judge road cross section arrangement form.The application efficiently and safely realizes the measurement of urban large-scale road width and cross section arrangement form.

The present invention provides an electrode rolling apparatus and an electrode rolling method, wherein the heating position of an induction heating unit is controlled by reflecting a change in position of an uncoated portion of an electrode sheet or the rate of movement of the electrode sheet, thereby uniformly heating the entire area of the uncoated portion and minimizing the range in which the uncoated portion does not receive heat.

The embodiment of the invention discloses an indoor positioning method and system, a storage medium and a server, and is applied to the technical field of computer vision, three-dimensional reconstruction and indoor positioning. The method comprises the following steps: a server extracts a semantic landmark in a current view of a mobile terminal and semantic information for describing a relationship between the semantic landmark and the mobile terminal through a semantic understanding technology based on a received video stream sent by the mobile terminal; and the real-time feature vector obtained based on the semantic landmark and the relational semantic information is matched with the preset semantic landmark feature library, so that the current position of the mobile terminal can be quickly determined. In this way, the snapshot type positioning experience of scanning and knowing is achieved, the method does not depend on the initial position and the continuous movement track of the mobile terminal, and the complexity of indoor positioning is greatly reduced.

An information processing device and an information processing method capable of appropriately handling a shielding region of a road are provided.The information processing device includes a first information conversion unit 15 that estimates a first road region from an image obtained by imaging the road, a second information conversion unit 17 that estimates a second road region from map information stored in a map information storage unit 11, and a difference extraction unit 16 that extracts difference information representing a difference between the first road region and the second road region. Further, in the information processing method, a computer estimates the first road region from the image obtained by imaging the road, estimates the second road region from the map information, and extracts the difference information indicating the difference between the first road region and the second road region.

The invention provides a surface mine slope deformation monitoring method based on sequential topographic parameters, and belongs to the technical field of slope deformation monitoring. According to the method, radar satellite images and unmanned aerial vehicle high-frequency DEM data of a mine side slope area are efficiently collected, and through data processing and feature calculation, one-dimensional deformation results in the LOS direction of rail ascending and rail descending radars and sequential topographic parameters including the gradient, the slope direction and the topographic curvature are obtained respectively; and dynamically updating time sequence terrain parameters based on a mining activity period, constructing a projection model of radar sight line direction deformation and surface adaptive deformation, solving a three-dimensional deformation result of the mine slope, and realizing dynamic monitoring. According to the method, the problem that the slope deformation monitoring precision is insufficient due to dynamic change of terrain parameters is solved, a slope deformation precise monitoring system from data acquisition, parameter updating to model solving is formed, the limitation of a traditional method in the aspects of precision and dynamic adaptability is broken through, and technical support is provided for safe operation of the surface mine slope.

The invention relates to a drought monitoring method and system, and relates to the technical field of hydraulic engineering, and the method comprises the steps: monitoring the growth state of planted crops in a first irrigation region, the drought state and a ground water source through a plurality of monitoring satellites to obtain satellite monitoring data, and determining a first drought index; acquiring unmanned aerial vehicle monitoring data of the second irrigation area by using the plurality of unmanned aerial vehicles and the intelligent machine nest, determining a second drought index of the second irrigation area based on the unmanned aerial vehicle monitoring data, and determining a preliminary irrigation state of the second irrigation area; acquiring actual measurement data of the second irrigation area through ground drought monitoring equipment, and determining a third drought index according to the actual measurement data; and determining the land parcel drought grade of each land parcel in the second irrigation area by combining the first drought index, the second drought index and the third drought index, and determining the irrigation scheme of each land parcel based on the land parcel drought grade, the initial irrigation state and the actually measured data. According to the invention, the irrigation scheme can be timely and accurately determined.

The utility model relates to the technical field of unmanned aerial vehicle inspection, in particular to an intelligent inspection device for a water taking line, which comprises a signal relay positioning auxiliary assembly and an inspection unmanned aerial vehicle assembly, the signal relay positioning auxiliary assembly is distributed along a water taking line inspection line of the inspection unmanned aerial vehicle assembly; the ground cable supplies power to the signal relay positioning auxiliary assembly. According to the utility model, the unmanned aerial vehicle monitoring module of the signal relay positioning auxiliary assembly is used to realize monitoring and radar positioning of the surrounding environment and the inspection unmanned aerial vehicle assembly, and four groups of multifunctional probe modules of the unmanned aerial vehicle monitoring module are used to realize day and night monitoring of the environment and a visual identification function of the inspection unmanned aerial vehicle assembly. Through cooperation with a built-in radar module of the unmanned aerial vehicle monitoring module, beyond-visual-range remote positioning tracking monitoring is carried out on the inspection unmanned aerial vehicle assembly, the work positioning precision of the inspection unmanned aerial vehicle assembly is improved, and a remote control platform of the inspection unmanned aerial vehicle assembly is assisted in completing accurate positioning of the flight route of the unmanned aerial vehicle.

The invention provides a GPS-based aerial image rapid pose estimation method and device and a medium, and the method comprises the steps: carrying out the rapid screening from a disordered image set based on the GPS position information of an image, and constructing a stereo image pair meeting a preset geometric constraint; carrying out downsampling on original images in the stereo image pair to generate small images with low resolution, and carrying out feature matching on the small images to obtain connection point information and estimate a homography relation between the images; calculating an image space rotation angle according to the homography relation, and performing combined calculation by combining a ground coordinate system azimuth angle calculated by GPS position data so as to obtain a rotation deflection angle estimated value of the image; and calculating complete exterior orientation elements of the image by taking the rotation deflection angle estimated value and the GPS position as initial values. According to the method, high-efficiency pose estimation independent of expensive hardware is realized, the calculation redundancy is greatly reduced, the real-time requirements of scenes such as rapid mapping and emergency response are met, and the convergence speed and stability of a traditional precision processing flow are supported and improved.

The invention relates to a method for generating an augmented image (AA) by a medical visualization system (4), wherein the medical visualization system (4) comprises at least one image acquisition device (5, 5b) for microscopic imaging of an examination area (1), comprising the steps: a. Receiving a trigger signal (TS), b. Providing topography information (TI) when the trigger signal (T) has been received, wherein the topography information (TI) represents a surface (22) to be detected, wherein the surface (22) to be detected is at least partially located in the area of ​​investigation (1), c. Generating the augmented image (AA) by overlaying at least one section of a microscopic image with additional information (ZI) taking into account the topography information (TI) and a medical visualization system (4).