189 results about "Virtual target" patented technology

The invention discloses a method for realizing holographic traffic at an intersection. The method comprises the following steps: acquiring a real-time video stream at the intersection; motor vehicles, non-motor vehicles and pedestrians in the video are identified based on a deep learning target detection algorithm, a continuous motion track of each target is generated through a multi-target tracking algorithm, identity association is carried out on cross-camera targets in combination with a re-identification algorithm, and structured traffic data including target types, real-time speeds and motion directions are output; obtaining coordinate points of each lane of the intersection based on a geographic information system, and constructing a lane network topological relation; combining with the structured traffic data to generate target trajectory data; and constructing an intersection three-dimensional model based on an unreal engine, generating a virtual target in the three-dimensional model according to the target trajectory data, and driving the virtual target to move in real time. According to the method, a holographic traffic implementation scheme is provided for a business scene which is free of radar and only monitored by a video.

The invention discloses a virtual simulation and security evaluation method and system based on a network security target range, and the method comprises the steps: constructing a network asset knowledge graph for describing a virtualized target range environment through information collection; secondly, based on an attack strategy grammar rule base, adopting a Monte Carlo Tree Search (MCTS) algorithm to carry out intelligent attack simulation on the knowledge graph so as to discover a nonlinear and multi-stage attack path; thirdly, constructing a Bayesian attack graph (BAG) based on the knowledge graph, and performing probabilistic and systematic quantitative evaluation on the security risk of each asset node in the network through Bayesian reasoning; and finally, integrating the attack path and the quantitative risk value, and generating a comprehensive assessment report containing a visual path, a risk sequence and a reinforcement suggestion. According to the target range simulation method and device, the problems that existing target range simulation is insufficient in confrontation authenticity, one-sided in safety evaluation and lack of predictability are solved by combining the strategy simulation of the MCTS and the global quantitative analysis of the BAG.

The invention relates to the technical field of virtual-real fusion image processing, in particular to a target superposition method and system for augmented reality, and the method comprises the steps: firstly simulating to obtain a virtual route target, and superposing and fusing the virtual route target into an initial reality picture for guiding navigation; analyzing the change degree of the current reality picture, and judging whether the virtual target and the current reality picture need to be superposed, fused and updated or not; if yes, analyzing the similarity between the local areas of the current real picture and the reference picture, and preferentially matching the local areas; the relative displacement of the equipment is evaluated according to the matching result of the angular points in each local area, superposition fusion updating of the virtual target and the current real picture is carried out, a more accurate superposition fusion result of the virtual target is obtained, and the immersion and accuracy of a user during use are enhanced; and on the premise of ensuring the accuracy, the AR operation efficiency is effectively improved, the calculation delay is reduced, and the loss of equipment performance is reduced.

The invention relates to an image adjusting method based on XR glasses, the XR glasses, an electronic device and a medium, the XR glasses comprise a first display screen and a second display screen, the pupil distance of a user, the lens spacing of the XR glasses, the distance of a virtual target and the focal length of the virtual target are obtained; calculating convergence angles according to the interpupillary distance, the lens spacing, the distance of the virtual target and the focal length of the virtual target; adjusting the depth of field and the position of the virtual target in the XR glasses according to the convergence angles; and the convergence conflicts in the convergence adjustment process are relieved, and the visual fatigue of the user is relieved.

The invention discloses a hydropower engineering electromechanical equipment installation detail control method based on a three-dimensional laser scanning technology, and the method comprises the steps: S1, setting and determining the instrument parameters of a three-dimensional laser scanner, and collecting the point cloud data of a target region through the three-dimensional laser scanner; s2, remotely reading the point cloud data through a computer, uploading the point cloud data to a cloud database in a file stream form, and storing the point cloud data; s3, performing iterative fitting on the plane model by using a random sample consensus algorithm RANSAC and removing inner points, fitting a target ball model by multiplexing the RANSAC algorithm in the residual point cloud data after the plane model is removed, and screening target ball parameters with the maximum number of inner points; s4, constructing a combined reference model based on the electromechanical equipment to be installed and the virtual target ball, and performing coordinate deviation value comparison with the actually measured target ball model to obtain a deviation value; and S5, generating an installation detail adjustment scheme according to the coordinate deviation value, and sending the adjustment scheme to a mobile client of the field installation personnel.

The invention relates to an unmanned system intelligent combat platform based on a large model and digital twinning, belongs to the technical field of strike evaluation, and solves the problems of low intelligent level, poor combat effectiveness evaluation and low visualization degree in the unmanned system technology in the prior art. The large combat model is used for generating combat area environment information and target information and further generating each combat scheme so as to obtain an optimal combat scheme; the digital twin virtual battlefield is used for reconstructing a virtual combat environment; the controller is further used for reconstructing a virtual target in the virtual combat environment and performing fine adjustment on the local combat environment, then striking the virtual target in the virtual combat environment according to the received optimal striking scheme, and collecting an image set after striking of the virtual target; the large combat model is also used for obtaining a simulated damage evaluation result according to the received image set after the strike; and the command center is also used for performing actual strike based on the simulated damage evaluation result. And intelligent combat of the unmanned system is realized.

The invention discloses a power transmission line construction method and system based on multi-source heterogeneous data automatic mapping, and the method comprises the steps: training target multi-source data of a historical power transmission line construction site, and a real load, a real fault type and a real construction progress corresponding to the target multi-source data, thereby obtaining a multi-task multi-label model; processing the target multi-source data of the target power transmission line construction site through a multi-task multi-label model to obtain a load prediction result, a fault diagnosis result and a construction progress prediction result; and constructing a digital simulation body of a virtual target power transmission line construction site through a GIM model in combination with multi-source data of the construction site, a load prediction result, a fault diagnosis result and a construction progress prediction result, so as to carry out construction drilling and optimize a construction scheme. According to the design, the construction scheme can be automatically obtained through the multi-task multi-label model, the intelligent degree is effectively improved, and the real-time decision-making requirement in a complex scene can be met.

A projection system stores virtual space configuration information indicating a configuration of objects defined in a virtual target space representing a real target space. The projection system detects a real human shown in an image taken by a real camera installed in the real target space, and estimates a three dimensional pose of the real human based on the image. Then, the projection system projects a virtual human having the three dimensional pose and representing the real human onto the virtual target space. In addition, the projection system performs an action estimation process that estimates an action of the real human in the real target space by estimating an action of the virtual human in the virtual target space based on a relationship between the virtual human having the three dimensional pose and the configuration of the objects in the virtual target space.

The application discloses a kind of millimeter wave radar and the fusion method and system of visual identification target, the method comprises: obtaining the data information of multiple first target points and multiple second target points;The first target point represents the target object detected by millimeter wave radar sensor, and the second target point represents the target object detected by camera;With the first target point as the center, the absolute threshold set is expanded longitudinally and transversely, to form the first confidence interval;With the second target point as the center, the relative threshold is expanded longitudinally and transversely to form the second confidence interval;The size of the relative threshold is linearly related to the distance and speed of the second target point;KM algorithm is executed to fuse, as many as possible millimeter wave radar detected first target points and camera detected second target points are one-to-one associated as the same target object.The method can improve the target fusion effect and reduce the generation of virtual target.

The invention particularly relates to a switching guidance method for tracking a non-escapable area, which comprises the following steps of: firstly, calculating the non-escapable area taking an intercepted target as a center, and then dividing a guidance process into two stages: in the first stage, taking minimization of missile energy loss as an optimization target, selecting a point on the boundary of the non-escapable area as a virtual target point in real time by adopting an Adam optimizer; the virtual target point is tracked by adopting a proportional guidance law, so that the aircraft enters a non-escapable area of the target; in the second stage, a proportional guidance law is adopted to track a real target, and the interception effect on a high-maneuverability flying target is remarkably improved due to the fact that the real target is in a non-escape area.

The invention relates to the technical field of data enhancement of computer vision, and discloses a data enhancement method and device, a computer readable storage medium and electronic equipment, and the method comprises the steps: carrying out the frequency domain disturbance enhancement of an original image, and obtaining a frequency domain disturbance enhanced image; determining a global scene embedding vector and a condition vector and a regional soft mask corresponding to each detection target according to the global scene prompt and the target-level prompt, the position information and the regional mask corresponding to the at least one detection target; utilizing a pre-trained instance-level conditional diffusion model to perform diffusion generation according to the global scene embedding vector and the conditional vectors and the regional soft masks corresponding to the detection targets to obtain a virtual target domain image; performing fusion processing on the frequency domain disturbance enhancement image and the virtual target domain image to obtain a fused image; and performing physical enhancement processing on the fused image to obtain a target enhanced image. According to the method, the training sample distribution diversity is improved, and the generalization ability of a cross-domain detection model is improved.

The invention provides a construction method and system for a dynamic threat capture system, and relates to the technical field of system construction, and the method comprises the steps: obtaining heterogeneous security data, extracting a three-domain behavior portrait, constructing a multi-dimensional feature vector, and recognizing attack features; dynamically constructing a virtual target environment to guide attacks, and obtaining threat data based on multi-modal perception; constructing a feature library for comparison, predicting an attack path, and generating a protection rule; and deploying protection measures to obtain confrontation data, and updating the feature library optimization rule. According to the invention, accurate identification, effective trapping and continuous confrontation of network threats can be realized, and the network security protection capability is improved.

The invention discloses an agent off-line and on-line logistics path planning method and system, and relates to the technical field of path planning, and the core idea of the method is that through the extraction and clustering analysis of obstacle boundary points, the environment complexity is defined, and then the step length and the bias guide growth probability are self-adapted; in the expansion tree growth stage, a state space is divided, a value function is set to provide sampling area reference for non-target-oriented growth, and an off-line path is simplified through pruning to serve as an on-line execution benchmark. Virtual target points are introduced to increase escape force, and possible zero resultant force balance points are damaged; repulsive force is regulated and controlled in a multi-level mode, global and local obstacle avoidance is dynamically balanced, and the emergency obstacle avoidance capacity is improved while the safe distance is ensured. According to the method, off-line path planning and on-line obstacle avoidance real-time planning are fused, the high-value pre-calculated off-line path is used as guidance, on-line obstacle avoidance planning is dynamically and efficiently executed, and it is ensured that efficient and effective path planning is achieved when an intelligent agent executes a task.

The invention discloses a mechanical arm path planning method based on repulsive force range constraint, which belongs to the technical field of intelligent manufacturing, and comprises the following steps: introducing constraint sampling of probability target bias to improve planning efficiency and directivity; artificial potential field expansion based on repulsive force range constraint is adopted to guide the random tree to avoid obstacles and accelerate to approach a target point; and local optimum processing of the virtual target point is carried out to guide the random tree to effectively avoid local optimum. And redundancy detection processing: carrying out secondary optimization processing on the path by adopting a pruning method so as to eliminate redundant nodes. The method has good path planning efficiency, is suitable for actual operation and operation of the mechanical arm, and has remarkable advantages in the aspects of planning time, path length and stability.

The invention discloses a virtual fuel vehicle power assembly mapping method and system. The method comprises the steps that the vehicle speed of an electric vehicle and input signals of an accelerator pedal and a brake pedal are received; performing nonlinear mapping on the accelerator pedal input signal to generate a virtual accelerator opening degree, and performing cooperative control in combination with a brake pedal signal; based on the vehicle speed and the virtual accelerator opening degree, a virtual target gear is determined through a multi-dimensional gear shifting diagram and a self-adaptive gear shifting strategy; the method is characterized in that a dynamic slip frequency factor related to the vehicle speed, the virtual accelerator opening degree and the brake pedal opening degree is introduced in the non-gear-shifting state so as to simulate the slip frequency effect of a torque converter; in the gear shifting state, transient smooth transition of the rotating speed is simulated. According to the method, the nonlinear dynamic behavior of the fuel vehicle can be accurately simulated in real time with low calculation overhead, the authenticity and immersion of simulation are remarkably improved, and powerful support is provided for virtual testing, control system development and man-machine interaction application.

The invention provides a three-dimensional visual navigation method and system based on multi-sensor information fusion, which are suitable for the technical field of image processing, and the method comprises the following steps: obtaining virtual target image feature information and scene video frame feature information according to virtual target image information and scene video frame information, performing registration processing to obtain virtual target image registration information and scene target image feature registration information; generating virtual target image transformation information according to the multi-sensor measurement information, the virtual target image registration information and the scene target image feature registration information; and according to the multi-sensor measurement information, the virtual target image transformation information and the scene target image feature registration information, scene target tracking information is obtained, so that the virtual target image transformation information is navigated based on the scene target tracking information, and virtual target visualization information is generated. According to the invention, the real-time positioning precision of the virtual target in a dynamic scene can be improved, so that accurate navigation of visual information of the virtual target is realized.

The invention discloses a pure electric vehicle type implementation method and system for simulating the driving feeling of a fuel vehicle, and the method comprises the steps: obtaining a virtual target gear or ADAS dialing piece information, obtaining a virtual current gear based on the current driving information, obtaining a virtual target gear based on the virtual current gear and target driving information, and obtaining the ADAS dialing piece information; a gear shifting requirement is obtained based on the virtual target gear or ADAS shifting piece information, the gearbox conducts gear shifting operation based on the gear shifting requirement, and the power amplifier conducts gear shifting sound simulation based on the gear shifting requirement. The new energy vehicle can be improved from four dimensions of upshift and downshift sensing, sound waves, instruments and atmosphere lamps, so that the new energy vehicle is more truly matched with the driving feeling of a traditional fuel vehicle.

A simulator for simulating a sensor for object detection. The simulator is set up to generate synthetic sensor data of the sensor by the simulation. A visibility module generates object data for at least one virtual object located in a virtual environment as a function of the sensor. A mapping module determines at least two parameters of the virtual object from the object data and represents at least one virtual object as a function of the at least two parameters in a first mapping. A link module transfers the first mapping to a second mapping taking into account a characteristic function of the sensor. In the second mapping, the at least one virtual object is represented as a function of the at least two parameters. An output module converts the second mapping into the synthetic sensor data and provides the synthetic sensor data for output.

A system for chromatic aberration and geometry calibration and validation of VR HMDs has a left eye display and a right eye display, comprises a measurement device with a left (11) and a right (12) camera. A control unit, connected to the two cameras, is configured to deliver control signals to the HMD when attached to the measurement device and with the camera IPD is equal to the HMD IPD and a virtual IPD, the control unit is configured to effect a measurement comprising the steps of: creating a virtual target object having am image center identifying element (523) for each camera (11, 12) and a plurality of predetermined points (525) within the FOV of the cameras, calculating and transmitting the images of said virtual target object to the displays of the HMD, taking the images of the displays with the cameras, detecting the virtual object (535) within the images, determining the shift (555) for the plurality of predetermined points (525) of the virtual object, for creating a chromatic aberration heatmap and a subsequent chromatic aberration validation, or for calculating the distortion of the predetermined points within the FOV of the cameras for creating a geometric correction mapping for the HMD for a geometry calibration of the HMD; or for using the shift for creating a heatmap for the HMD and determining the geometry validation or denying the geometry validation.

The application provides a laser point cloud and image asymmetric fusion target detection method based on non-maximum suppression, a single-stage image two-dimensional target detection network model, dynamic adjustment of a confidence of a single-stage image two-dimensional target detection network model output prediction frame and an IoU filtering threshold according to original data of a laser radar laser point cloud, non-maximum suppression, and then extraction of a real target detection frame from multiple output prediction frames and filtering of non-real target detection frames. The application can improve the accuracy of two-dimensional target detection, avoid inflation of a real target into multiple virtual targets, thereby reducing the false detection rate, and also avoid aggregation of multiple real targets into a single virtual target.

This invention provides a high-dynamic space-based cooperative guidance method and system for multi-level virtual target points, relating to the field of aircraft control technology. It involves acquiring initial flight state data of each aircraft and position data of the target point; generating at least one virtual target point based on the initial flight state data and position data, using a zero heading angle constraint; generating roll angle control command data for each aircraft based on the initial flight state data and the virtual target point, using a two-sided azimuth error corridor; and adjusting the attitude of each aircraft according to the roll angle control command data to ensure that each aircraft meets the terminal heading angle constraint and reaches the target point. This method enables precise control of the terminal heading angle of high-dynamic aircraft in complex dynamic environments, thereby enabling multiple aircraft to perform cooperative strike missions from different spatial orientations.

The application discloses a virtual aircraft control method and device, a storage medium and an electronic device. The method comprises the following steps: obtaining flight state data of a virtual aircraft, first representation data of a virtual target object, and second representation data of a virtual obstacle; determining a flight reference vector according to the flight state data, the first representation data and the second representation data, wherein the flight reference vector is used for representing a target flight state expected to be reached by the virtual aircraft; determining flight control instructions of multiple dimensions of the virtual aircraft according to the flight reference vector and the flight state data, wherein the flight control instructions of multiple dimensions are used for controlling the virtual aircraft to fly to reach the expected target flight state; and controlling the virtual aircraft to fly in a virtual scene according to the flight control instructions of multiple dimensions. The application solves the technical problem of low efficiency in the control process of the virtual aircraft in the related art.

The present disclosure relates to a target object labeling method and device, a storage medium and an electronic device. The method comprises: in response to receiving a labeling request for a target object, obtaining a target three-dimensional scene image, wherein the target three-dimensional scene image includes a virtual target object model created for the target object; obtaining first position coordinates of each vertex of the virtual target object model in a world coordinate system to which the virtual target object model belongs; determining second position coordinates of the target vertex in a two-dimensional image corresponding to a rendering camera according to configuration information of the rendering camera and the first position coordinates of each vertex in the target three-dimensional scene image; and determining position labeling information of the target three-dimensional scene image related to the target task according to the second position coordinates of the target vertex. In this way, labeling information of more diverse and complex situations can be constructed by simulating a real environment, the labeling information of the target object can be effectively obtained, and a rich data set can be obtained.

This invention provides an automatic display material identification method and system. Based on the real environment and historical display records of a head-mounted display device, it generates a set of real target display elements and a set of virtual target display elements, providing display material sources at both the real and virtual environment levels for subsequent adjustments to the displayed image content. It identifies permissible display change areas within the current display screen of the head-mounted display device, accurately locating subsequent content adjustments to ensure that the adjusted content does not affect the original display state and prevents interference. Furthermore, based on display control commands, it determines the set of display elements to be filtered, and identifies display elements that meet preset shape and contour conditions, ensuring that the content of the filtered display elements matches actual needs. Finally, after adjusting the visual characteristics of the filtered display elements, it integrates them into the screen area to improve the visual effect.

A method, a device (800), a medium for controlling the movement of a virtual body (107), including: a target determining step, in the first frame, based on the moving direction and position of the virtual body (107), selecting a virtual object (103) in a predetermined area as a virtual target (202); a dynamic adjusting step, calculating a horizontal moving direction (302a) of the virtual body (107), a direction of a connecting line between a vertical projection (107′a) of the virtual body (107) on the horizontal plane and a vertical projection of the virtual target on the horizontal plane, and an included angle (θ1) between the horizontal moving direction (302a) of the virtual body (107) and the direction of the connecting line in each frame, and controlling the horizontal moving direction (302a) of the virtual body (107) based on the included angle (θ1) (204).

The invention discloses a target tracking method, device and equipment, a medium and a product. The method comprises the following steps: receiving point cloud data sent by roadside equipment; identifying the point cloud data to obtain a plurality of targets and traffic states; if the traffic state is a congestion state and there is a lost target, generating a virtual target corresponding to the lost target; target tracking is carried out based on the virtual target corresponding to the lost target and the multiple targets, and through the technical scheme of the invention, the accuracy of target tracking can be improved.

A virtual target generator for use with a radar system, preferably for testing, callibration and design, configured in response to recieving a signal from the radar device to process the signal retran

The application discloses a network security target-based virtual simulation and security evaluation method and system. First, a network asset knowledge graph describing a virtual target environment is constructed through information collection. Second, intelligent attack simulation is performed on the knowledge graph based on an attack strategy syntax rule library using a Monte Carlo tree search (MCTS) algorithm to discover nonlinear and multi-stage attack paths. Third, a Bayesian attack graph (BAG) is constructed based on the knowledge graph to probabilistically and systematically quantitatively evaluate the security risks of asset nodes in the network through Bayesian inference. Finally, the attack paths and quantitative risk values are integrated to generate a comprehensive evaluation report containing visualized paths, risk rankings and reinforcement suggestions. The application solves the problems of insufficient realism of existing target simulation, one-sided security evaluation and lack of predictability by combining strategic simulation of MCTS and global quantitative analysis of BAG.

The invention relates to an entry angle implementation method based on a virtual target, and belongs to the field of aircraft guidance control. Comprising the following steps: 1, calculating an entry point and an entry section virtual target according to a set target point, a ground distance and an entry angle; 2, calculating a fly-around circle center and a fly-around section virtual target according to the entry point and the overload capacity; 3, calculating an initial section virtual target according to the circle center of the fly-around section and the turning radius; and step 4, splicing the three sections of corresponding virtual target coordinates to form a virtual target for realizing multi-angle entry. Under the condition that the original guidance law is not changed, it is guaranteed that flying around is achieved under the available overload condition by tracking the virtual target point, and it is guaranteed that the position, the speed and the direction of the aircraft meet related requirements at the ground distance.