133 results about "Virtual target" patented technology

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 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 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 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 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 provides a method and device for measuring the visual magnification of near-eye display equipment and a medium. A first rotatable laser module in the device is used for guiding a light beam of the first rotatable laser module to pass through an eyepiece of the near-eye display equipment; the second rotatable laser module is used for guiding the light beam to a physical target; the angle encoder is coupled with the first rotatable laser module and the second rotatable laser module so as to measure a rotation angle; the processor is in communication connection with the first rotatable laser module, the second rotatable laser module and the angle encoder, and the processor is used for controlling the first rotatable laser module to rotate so as to use the angle encoder to obtain a first angle difference corresponding to a virtual target observed through the near-eye display device; and controlling the second rotatable laser module to rotate so as to obtain a second angle difference corresponding to the physical target by using the angle encoder, and calculating the visual magnification of the near-to-eye display device based on the first angle difference and the second angle difference.

The application discloses a kind of based on the joint coordinate measuring machine calibration method of virtual calibration member construction.It is as follows: one, the coordinates of 12 sampling points are determined;Two, 12 sampling points are used to construct selected type virtual calibration member.Three, the spindle of precision machine tool drives calibration tool to move to the sampling point position on all virtual calibration members in turn.Each time calibration tool reaches a sampling point, the coordinates of calibration tool are measured using the spherical probe of joint coordinate measuring machine.Four, according to the measurement results, joint coordinate measuring machine is calibrated.The application constructs a large number of different types of virtual calibration members by setting 12 sampling points in precision machine tool, and the size and spatial pose of calibration member can change according to the change of sampling point;Compared with the existing calibration method using entity calibration member that can only change spatial pose, the calibration effect and calibration efficiency of the application are significantly enhanced.

The invention provides a vehicle-mounted projection display system, and the system comprises an image collection module which is used for obtaining a drawn sketch inputted by a user; the vehicle-mounted calculation module is configured with an AI matting model and an animation generation model; the animation processing module is used for operating in a vehicle-mounted local and carrying out image preprocessing and animation generation processing on the drawn sketch so as to convert the drawn sketch into a dynamic animation; the dynamic animation output module is used for outputting a virtual target dynamic animation to the dynamic projection modulation module according to an animation style type selected by a user; and the dynamic projection modulation module is used for projecting the dynamic animation of the virtual target to the projection surface of the object outside the vehicle in real time. According to the method and the device, the user is fused with inspiration creation for projection, the technical problem that projection lacks interactivity and individuation is effectively solved, and brand new interaction experience is brought to the user through an emotional expression mode.

The invention discloses a signal parameter optimal allocation estimation method for a clutter environment, which belongs to the field of signal processing and multi-target tracking, and comprises the following steps: constructing a multi-signal joint detection and parameter estimation model in a multi-sensor clutter environment; in order to solve the technical problems of high false alarm rate, low matching precision, poor dynamic signal adaptability and the like of signal detection and parameter estimation in a complex clutter environment, the invention provides a joint detection and parameter estimation method based on multi-sensor collaboration, threat level weighting and graph neural network optimization. By constructing a multi-sensor joint detection model and combining a dynamic virtual target generation and constraint optimization framework, the defects of a traditional method in the aspects of unknown signal number, strong clutter interference, high threat signal priority processing and the like are overcome; the accuracy and robustness of detection and estimation are remarkably improved, and priority identification and decision optimization of high threat signals are realized by introducing threat level attributes and an economic utility function.

Systems and methods for displaying augmented reality clinical movements can use an augmented reality device to display various aspects of clinical movements. The systems and methods can use a motion capture device to capture clinical movements. A method can include analyzing information about a clinical movement to determine a motion path representing at least a portion of the clinical movement. The method can automatically define a path area or a virtual target in an augmented reality environment overlaid on a real environment. The method can display the path area or the virtual target on the augmented reality display.

The application discloses a kind of vehicle control method and device based on virtual reality, it is related to intelligent control technical field, comprising: in response to the vehicle control action request for virtual target vehicle, based on the mapping relationship of vehicle component identification information and vehicle control instruction, determine the target vehicle control instruction corresponding to the target vehicle component identification information;In the case where the preset communication security condition is satisfied, the target vehicle control instruction is sent to cloud, to make the cloud instruct the target vehicle component in the real target vehicle based on the target vehicle control instruction to execute corresponding physical vehicle control action;The vehicle control feedback result for the real target vehicle sent by the cloud is received, and based on the vehicle control feedback result, the target vehicle component in the virtual target vehicle is instructed to execute the virtual vehicle control action consistent with the physical vehicle control action.User can really feel the vehicle control effect in remote vehicle control, the whole process is vivid, with immersion, improve user operation experience.

The present disclosure relates to a method for image generation, an image generation device, a computer device, and a computer-readable storage medium, and in particular relates to the field of image processing technology. The method comprises: capturing a first image comprising a first target area that is desensitized; capturing first coordinates of the first target area in the first image; capturing respective second coordinates of several first reference points associated with the first target area in the first image; generating a second image based on the first image, the first coordinates, and the second coordinates, wherein the second image comprises a second target area corresponding to the first target area of ​​the first image, and the second target area comprises a virtual target; and determining an image generation result at least on the basis of the second image.

The invention discloses a mechanical arm strategy learning method and system based on mixed target remarking, and provides an improved experience playback mechanism aiming at the problems of low sample efficiency and difficult strategy convergence caused by sparse rewards in multi-target reinforcement learning. The method comprises the following steps: constructing a Markov decision process containing a state, an action and a target space; controlling the mechanical arm to interact with the environment and storing track data; in the training stage, a Next-Future mixed strategy is adopted to carry out target remarking on sampled data, that is, a next state of current conversion is forcibly selected as a virtual target to ensure that a single-step non-negative reward is obtained, and meanwhile, a randomly selected future state is combined as the virtual target to promote value propagation; network parameters are updated using a truncated quantile commentator (TQC) algorithm to suppress over-estimation deviation. According to the method, learning signals are enhanced through deterministic single-step rewards, and the control precision and the convergence speed of the mechanical arm in complex tasks such as pushing, grabbing and taking and placing are remarkably improved.

The present invention relates to a driver assistance method for a so-called ego-vehicle (EGO) moving in a lane, the method comprising a first step of identifying traffic around the ego-vehicle in the same lane as the ego-vehicle and in adjacent parallel lanes moving in the same direction; a second step of determining a virtual center of gravity target (G), including calculating the position of the virtual center of gravity target, the velocity of the virtual center of gravity target, and the acceleration of the virtual center of gravity target; and a third step of calculating longitudinal speed setpoints, acceleration setpoints, and torque setpoints of the ego-vehicle (EGO), the longitudinal speed setpoint being a function of the position of the virtual center of gravity target (G), the velocity of the virtual center of gravity target (G), and the acceleration of the virtual center of gravity target (G).

The application discloses a large-scale tubular pump water pressure oscillation amplitude prediction method based on a virtual target point matrix, and belongs to the technical field of large-scale low-lift water transfer projects. The method is as follows: the related characteristic parameters of a large-scale tubular pump device are determined, and the characteristic time sequence coordinates of a guide vane inlet section observed from the guide vane inlet direction are defined; the virtual time sequence target point matrix, the virtual wheel disc target point matrix and the radial extension function are calculated based on the characteristic parameters and the characteristic coordinates of the concerned points; and the water pressure oscillation amplitude of the guide vane inlet is calculated based on the obtained radial extension function. For a given large-scale tubular pump device, the water pressure oscillation amplitude at any concerned position of the guide vane inlet section can be quickly and accurately estimated by the application, which is simple, efficient and solves the problem that the existing method cannot accurately predict the water pressure oscillation amplitude of a large-scale tubular pump device under large-scale and multi-time sequence conditions, thereby providing reliable technical support for the quantitative evaluation of the hydraulic stability of the large-scale tubular pump device.

The invention provides an information processing method and device in a game, a storage medium and electronic equipment, a graphical user interface is provided through terminal equipment, the graphical user interface displays at least part of a scene map of the game, and the method comprises the steps that in response to a preset trigger event, a recommended marching line is determined; determining a virtual target position according to the passage type of the recommended marching line; constructing at least one recommended premises from the place of departure of the recommended marching line to the virtual target position; and displaying a route identifier for representing the recommended marching line and a residence identifier for indicating the at least one recommended residence in the scene map. The game duration can be shortened by increasing the accuracy of residence recommendation, and server occupation and power consumption are effectively reduced.