92 results about "Motion parameter" patented technology

The application relates to the technical field of photoetching machine workbench, and discloses a photoetching machine high-speed high-precision workbench positioning calibration method.The method comprises the following steps: collecting workbench position data and motion parameters, analyzing position error and motion stability matching degree, and generating a position error control parameter set; then, based on the parameter set, extracting environmental interference values and gradient change amounts, analyzing the influence of environmental interference on positioning accuracy, adjusting environmental compensation parameters to generate an environmental optimization parameter set; subsequently, according to the environmental optimization parameter set, analyzing dynamic response under high-speed motion of the workbench, adjusting control input rate and feedback path distribution proportion, redistributing control parameter distribution trend and dynamic value, and obtaining a dynamic adjustment result; finally, based on the dynamic adjustment result, generating an abnormal intervention data set, and then analyzing target position distribution proportion and calibration time, adjusting target calibration path parameters, and generating a positioning calibration data table.

The invention discloses a self-adaptive hybrid control grinding method and system for a steel rail welding seam. The method comprises the steps that a welding seam three-dimensional model is obtained through 3D vision, and material removal amount distribution is calculated; intelligent layered path planning is conducted based on the distribution, specifically, process threshold layering is set, section sampling is conducted to generate tool points, collision-free optimization is conducted, an initial polishing path is generated, and expected contact force is matched; in the polishing process, the contact force is collected in real time through a six-dimensional force sensor; feedforward control is carried out on the material removal amount based on visual prediction, feedback compensation is carried out through a fuzzy PID controller on the basis of force deviation fed back by a force sensor, motion parameters of the robot are dynamically adjusted, and double-layer self-adaptive control of visual intelligent planning and force control accurate execution is achieved. The system comprises corresponding modules. The problems that an existing method is poor in adaptability to geometric differences of the welding seams and lacks macroscopic planning are solved, and high-precision, high-efficiency and high-consistency automatic grinding of the steel rail welding seams is achieved.

This invention discloses an adaptive cruise control primary target selection method and apparatus, comprising: estimating the vehicle's trajectory based on its yaw rate; correcting the motion parameters of each target vehicle within a target range according to the trajectory; calculating the motion index of the target vehicle based on the corrected motion parameters; determining the driving state of the target vehicle by comparing the motion index with a corresponding index threshold; determining a representative driving state for the current scenario based on the driving states of all target vehicles; and determining the target vehicle with the closest relative distance to the vehicle among those that meet the corresponding driving state as the primary target, and outputting the primary target distance and primary target speed. This invention incorporates multiple variable factors, refines the calculation corrections under different scenarios, and improves the control accuracy and safety of the adaptive cruise control system.

The application discloses a control method and an electronic device. The method comprises: obtaining at least one application data corresponding to a target application in the electronic device; the application data comprises at least one of an application type of the target application and display content output by the target application; determining a motion parameter corresponding to the electronic device according to the application data; and controlling the electronic device to change from a first device form to a second device form according to the motion parameter, wherein the electronic device displays content adapted to the target application in the second device form; wherein the electronic device has a first visible area in the first device form; and the electronic device has a second visible area in the second device form, wherein the first visible area and the second visible area are different in size.

The application relates to the technical field of warehouse logistics, and discloses a carrying method, a carrying device and a warehouse system. The method comprises the following steps: determining cargo information of a to-be-carried object; wherein the cargo information of the to-be-carried object comprises at least one of size information, weight information and shape information of the to-be-carried object; determining a target carrying device used for carrying the to-be-carried object; determining target motion parameters corresponding to a taking and placing mechanism of the target carrying device based on the cargo information of the to-be-carried object; wherein the target motion parameters comprise at least one of a motion state of the taking and placing mechanism, a motion direction of the taking and placing mechanism and a rotation number of the taking and placing mechanism; and controlling the taking and placing mechanism of the target carrying device to receive or deliver the to-be-carried object based on the target motion parameters. The embodiment of the application can improve the safety of receiving and delivering the to-be-carried object.

This application relates to a sensor data processing method and electronic device. The method includes: identifying effective movements during the movement of the measured object based on a displacement data stream and the movement type of the measured object; analyzing the effective movements to obtain motion parameters; performing a linear transformation on the motion parameters; and generating an effectiveness analysis result. The displacement data stream is obtained by sequentially filtering, differentiating, and integrating the original data stream. The original data stream includes raw data obtained by the target sensor based on sampling during the movement of the measured object, and the raw data is correlated with the displacement in a preset direction. Using this application, the problems of baseline drift and noise in sensor data can be solved, enabling the evaluation of motion effectiveness and providing reliable data support for the quality analysis of athletes' core movements.

The present application relates to the technical field of power equipment maintenance, and discloses a method, system and device for controlling an upper limb exoskeleton for assisting in replacing an insulator. The method comprises collecting image data of the insulator and the on-site environment, and obtaining motion vector information from the image data based on a preset optical flow method; analyzing the motion vector information based on a deep learning algorithm to obtain motion state information of the insulator; obtaining adjustment motion parameters of the upper limb exoskeleton based on a dynamics fusion algorithm according to the motion state information of the insulator in combination with position information of the upper limb exoskeleton; and issuing a control instruction to the upper limb exoskeleton according to the adjustment motion parameters. The present application can monitor the dynamic changes of the insulator and the surrounding environment through the optical flow method, accurately identify and analyze the insulator in motion by combining deep learning analysis, timely adjust the motion trajectory of the upper limb exoskeleton, ensure that the upper limb exoskeleton stably and accurately tracks and operates the insulator, reduce the physical burden of the operator, and improve the operation safety and efficiency.

The application provides an electrosurgical instrument and an electrosurgical system, comprising an electrosurgical host and an electrosurgical instrument. The electrosurgical instrument comprises a housing, a jaw assembly mounted on the housing, and an opening and closing actuating mechanism mounted on the housing and used to drive the jaw assembly to open and close to clamp or release the tissue; the jaw assembly is arranged to be electrically connected to the electrosurgical host, and the electrosurgical instrument further comprises a sensor used to detect a motion parameter of the opening and closing actuating mechanism or a motion parameter of the jaw assembly and send the motion parameter to a controller of the electrosurgical host; the controller compares the motion parameter with a preset condition in a memory, and when the motion parameter meets the preset condition, the controller controls the electrosurgical host to provide excitation energy to the electrosurgical instrument. Through the arrangement of the sensor, not only the clamping and coagulation action linkage can be realized, but also the sensor does not need to be mounted outside the housing for driving, so that the risk of accidental touch or cable entanglement caused by the exposure of the sensor is avoided.

This invention provides a motion analysis system, a motion analysis method, and a computer program product. In the motion analysis system (100), the input unit (62) inputs motion data corresponding to various motion parameters representing the motion state of a running user. The selection unit (72) selects a type of clothing or accessories corresponding to a given runner type from a variety of clothing or accessories, based on which runner type the user's motion data is pre-classified into through cluster analysis of multiple runner types. The output unit (74) outputs the selected type of clothing or accessories as recommended clothing or accessories for the user.

The application relates to a train safety stationary calculation method, device and medium for a TACS system, which comprises the following steps: S1, a vehicle-mounted controller CC judges whether the train needs to start safety stationary calculation at the moment; S2, the vehicle-mounted controller CC stores current train motion parameters and parameters needed to participate in train safety stationary calculation in the future; S3, the vehicle-mounted controller CC judges whether the stored parameters are valid; S4, the vehicle-mounted controller CC assigns default values to the parameters; S5, the vehicle-mounted controller CC calculates a train stationary time; S6, the vehicle-mounted controller CC compares the current time with the train stationary time calculated in the step S5, and if the current time is greater than the train stationary time, it is judged that the train has been safely stationary, otherwise, the train is not in a safety stationary state. Compared with the prior art, the application has the advantages of improving the safety and reliability in the actual train operation process.

This invention discloses a flexible material feeding vision system based on an XYZ multi-module motion control system. The system includes an XYZ multi-module control subsystem, a fly-grabbing subsystem, an image processing subsystem, a motion correction subsystem, and a flexible material feeding control device. The XYZ multi-module control subsystem plans motion parameters based on preset data and historical material feeding information, driving the multi-module to complete grasping and placement. The fly-grabbing subsystem dynamically acquires grasping and placement positioning images during the movement. The image processing subsystem corrects image offsets based on flexible material feeding characteristic parameters. The motion correction subsystem achieves precision closed-loop control through secondary confirmation and real-time compensation. The flexible material feeding control device adapts to various material specifications with an adjustable tray and controllable vibration, reducing damage. Through the collaborative operation of multiple subsystems, efficient, low-damage, and high-precision material feeding of various specifications is achieved.

The nozzle XY automatic calibration method, system and device of the 3D printing equipment provided by the embodiment of the application, in the case of triggering the calibration of the to-be-calibrated nozzle, first controls the relative movement between the to-be-calibrated nozzle and the upward-looking vision system according to the theoretical mechanical coordinates, so that the to-be-calibrated nozzle is constrained in the vision optical axis center area for imaging, which effectively eliminates the XY plane coordinate conversion error introduced in the image perspective projection due to the height difference of different nozzles Z axes, and ensures the consistency of the imaging reference. Subsequently, the pixel coordinates of the nozzle center recognized in the image are accurately converted into the actual mechanical coordinates in the device motion control coordinate system through the pixel coordinates-mechanical coordinates conversion model calibrated in advance and with high precision. The offset of the actual mechanical coordinates and the theoretical mechanical coordinates in the XY direction is calculated, and the deviation value is fed back to the device motion control system for real-time compensation of the motion parameters, thereby forming a simple and efficient closed-loop calibration.

This invention discloses a method, apparatus, and computer device for smoothly stopping a robot's jogging motion. The method includes the following steps: in response to a jogging stop command, acquiring the robot's motion parameters, which include at least the current acceleration and current velocity; linearly reducing the current acceleration to zero with a preset constant jerk to obtain an intermediate velocity and intermediate position; using the intermediate velocity as the starting velocity and zero as the ending velocity, using an improved T-curve to plan an acceleration curve, so that the velocity smoothly decreases to zero. This invention provides a robot jogging control method that is responsive, computationally efficient, and can achieve truly smooth, shock-free stopping.

The present disclosure provides an image processing method and apparatus, and related products. The method includes: obtaining first angular data of M frames and second angular data of N frames prior to the M frames, where M and N are positive integers; determining, based on the first angular data and the second angular data, one or more motion parameters of the camera during a period from a time at which a first frame of the N frames is captured to a time at which a last frame of the M frames is captured; and processing, based on the one or more motion parameters, the M frames using an image stabilization strategy corresponding to the one or more motion parameters.

The application relates to the field of artificial intelligence technology and discloses a non-sensing user identification and self-adaptive training method and system based on an AI display screen, which comprises the following steps: collecting a front face image and a human body posture video of a user by a visual sensor of an AI display screen of a sports device in a non-sensing mode; after extracting a part-related descriptor of a human face contour region in the front face image, generating face texture features corresponding to the user, and determining a user identity corresponding to the user; extracting skeleton key point data in the human body posture video to determine a joint position and a limb angle of the user, and analyzing action standardization of the user; collecting physiological feedback signals and behavior performance data of the user in real time by using an auxiliary sensor in the AI display screen, analyzing physiological fatigue of the user, and performing self-adaptive training and adjustment on sports parameters of the sports device to obtain an adjustment result. The application can improve the accuracy of non-sensing user identification and self-adaptive training based on the AI display screen.

This invention discloses a sequential image fusion enhancement method based on three-axis slide table displacement sensing, belonging to the field of machine vision technology. The method includes the following steps: S1, constructing discretized state and output equations to complete the three-axis slide table motion modeling, and establishing the correlation between motion parameters and image blur kernel and pixel position offset; S2, using the inverse function of the camera response function combined with Taylor linearization, performing exposure normalization processing on multiple frames of observed images to obtain scene illumination estimates with a unified radiance scale; S3, obtaining multi-dimensional fusion weights for the image by setting a fusion weight calculation mechanism that correlates the quality features of the fused image with the slide table position; S4, completing the fusion of multiple frames of images through a weighted fusion model to obtain a high-quality single-frame fused image. Using the above method, the problems of image motion blur and uneven multi-frame imaging quality caused by three-axis slide table motion are effectively solved, achieving accurate fusion and deblurring enhancement of sequential images.

The application discloses a kind of unmanned aerial vehicle potential threat evaluation method, device, equipment and readable storage medium, it is related to unmanned aerial vehicle technical field, including the following steps: obtaining the motion parameter of each potential threat object in the field of view of unmanned aerial vehicle relative to itself;According to the motion parameter of each potential threat object relative to itself, the predicted encounter situation of the potential threat object is calculated;According to the predicted encounter situation of each potential threat object, the threat degree value is calculated, and the object of greatest threat is judged according to the threat degree value of each potential threat object.The present application can provide a kind of systematic, standard, professional, objective threat sorting method for the threat sorting problem faced by unmanned aerial vehicle formation in multiple pairs of complex confrontation scene.

The application discloses a SAR motion parameter estimation method based on accurate measurement of time of arrival and direction of arrival, which comprises the following steps: reading N LFM direction of arrival alpha n and corresponding measurement value of time of arrival t n , performing cubic polynomial fitting on the line of sight angle alpha n by using a least square method to smooth measurement error; performing quadratic polynomial fitting on the time of arrival t n by using a least square method to obtain a linear term coefficient p1 and a quadratic term coefficient p2; obtaining a radar pulse repetition interval T by using a statistical pulse time of arrival difference; updating a detection pulse serial number n; solving a radar initial distance r0; and solving a radar flight speed v and a flight direction beta by using the initial distance r0, the direction of arrival alpha n and the time of arrival t n . The application has the characteristic that a signal waveform of a SAR emission is synthesized with an LFM pulse, accurate estimation of SAR motion parameters is realized, the variation rate parameter of the line of sight angle is avoided, and the robustness of the algorithm is improved and the requirement for the direction finding accuracy is reduced.

This invention discloses a multi-angle positioning anti-interference control method and system for a five-axis machining center. The core steps include: constructing a parameterized spatial envelope model of the entire motion chain components of the five-axis machining center; parsing the multi-angle positioning instructions of the current CNC machining program to obtain the target motion parameters of each motion axis, the corresponding target tool position point, and the tool axis posture sequence during the positioning process; performing look-ahead interpolation on the target motion parameters based on a preset look-ahead interpolation cycle number N to generate the real-time motion pose sequence of each motion axis and the real-time pose of the corresponding envelope model within the next N interpolation cycles; performing global interference collision detection on the full-cycle envelope model, calculating the minimum spatial distance, calculating the dynamic interference risk threshold based on the real-time motion parameters, and classifying the interference risk level; matching anti-interference control strategies according to the risk level, correcting the motion parameters, generating interpolation control instructions, and sending them to the CNC system for positioning control execution.

This invention relates to the field of pedestrian trajectory prediction technology and discloses a pedestrian detection and trajectory prediction method based on a spatiotemporal joint attention mechanism. The method includes acquiring video images of the quay crane operation area and synchronous mechanical status data; projecting the mechanical status data onto an image plane to generate a dynamic occlusion mask; constructing an attention decay weight field based on the dynamic occlusion mask; using the attention decay weight field to correct the query and key feature similarity calculation of the spatiotemporal attention mechanism; and performing pedestrian bounding box detection and future trajectory sequence prediction based on the corrected spatiotemporal attention features. This invention, by introducing the mechanical motion parameters of the quay crane PLC to construct an occlusion thermal mask and guide the spatiotemporal attention calculation, can force the model to focus on the effective passable area under quay crane occlusion conditions.

This invention belongs to the technical field of PCB testing equipment, specifically involving an autonomous multi-segment contact control method for probes, flying probe testing equipment, and a medium. The method uses a driver to pre-store motion parameters, including the starting position Z1 of the fast segment, the starting position Z2 of the slow segment, the ending position Z3, and the speed and delay t for each segment. Responding to a start command triggered by a control word, the driver autonomously controls the probe to move rapidly from Z1 to Z2, and then slowly to Z3. The probe tip is equipped with a contact sensing element, whose feedback signal is connected to the driver's I / O port. When a signal change is detected, contact with the workpiece is determined, and the probe stops immediately. After stopping, a delay t is performed for the equipment to collect electrical signals to determine circuit continuity. After the delay ends, the probe quickly rises. This invention autonomously completes the entire probe insertion process through the driver, without real-time intervention from a host computer, improving testing efficiency and contact reliability.

This invention discloses a method and apparatus for assessing the instability risk of oncoming vehicles. The method includes: if the trajectories of an oncoming vehicle and a vehicle overlap in a spatial region within a preset time period in the future, obtaining the road surface adhesion coefficient and the lateral velocity, lateral acceleration, and azimuth angle deviation of the oncoming vehicle; determining a sideslip risk term based on the lateral velocity and road surface adhesion coefficient; determining a runaway acceleration risk term based on the lateral acceleration and road surface adhesion coefficient; determining a fishtail-lateral displacement risk term based on the lateral velocity and azimuth angle deviation; and determining the instability risk of the oncoming vehicle based on the sideslip risk term, the runaway acceleration risk term, and the fishtail-lateral displacement risk term. This method overcomes the limitations of existing technologies that rely solely on basic motion parameters such as position and velocity, and can capture the instability precursor characteristics of oncoming vehicles, such as sideslip and fishtail, from the perspective of vehicle dynamics. It achieves accurate quantitative assessment of instability risk and effectively improves the accuracy and reliability of identifying collision risks of oncoming vehicles.

This invention proposes a dynamic scene deblurring method and system based on 4D Gaussian representation and pseudo-ground value supervision. The method includes: obtaining a sharp image and a rendered depth map from a 4D Gaussian representation; predicting the motion velocity of dynamic pixels using a velocity MLP network based on the rendered depth map; constructing a fuzzy weight network and predicting the contribution weight of each sampling point on the sampling trajectory; fusing the pseudo-sharp image with the original blurred input using a dynamic region mask to obtain a hybrid pseudo-ground value image; synthesizing a physically blurred image through weighted integration; and constructing a dual-domain reconstruction loss and geometry-motion regularization constraints by combining hybrid pseudo-ground value supervision and gradient decoupling strategies to jointly optimize the scene representation, motion parameters, and fuzzy model, thereby obtaining a sharp dynamic scene representation. This invention achieves explicit modeling of the physical blurring process through 4D Gaussian representation and a fuzzy weight network, improving the realism and view consistency of motion blur synthesis.

This application discloses a method, device, medium, and product for short-to-medium-term ship motion prediction based on a spatiotemporal fusion Informer model, relating to the field of ship motion prediction. The method includes: acquiring short-to-medium-term ship motion parameters, environmental parameters, and wave spectrum parameters to generate time-series data; performing spatial and positional encoding on the time-series data, and obtaining spatiotemporal fusion features based on the spatial and positional encoding results; constructing a spatiotemporal fusion Informer model by introducing a multi-head ProbSparse attention layer and a Distilling layer; and obtaining ship motion prediction results based on the spatiotemporal fusion features using the spatiotemporal fusion Informer model. This application can improve the efficiency and accuracy of short-to-medium-term ship motion prediction, providing key technical support for intelligent maritime aviation operation systems.

The present application relates to the technical field of intelligent driving, and discloses a transparent chassis image generation method and device, a vehicle, a medium and a product. The present application acquires a bird's eye view sequence, a historical chassis image and historical state parameters corresponding to each frame of the bird's eye view, and ensures synchronization of timestamps. Frame-to-frame motion parameters of adjacent two frames of the bird's eye view sequence are determined, the frame-to-frame motion parameters and historical state parameters collected by a sensor are fused to generate a vehicle pose trajectory, precise prediction of the vehicle pose is realized, and delay and inaccurate parameters caused by direct use of current sensor data are avoided. Delay time of the historical chassis image and the current frame of the bird's eye view is determined, the historical chassis image is motion compensated in combination with the vehicle pose trajectory, vehicle motion deviation is offset, and a compensated chassis image is generated. Finally, the compensated chassis image and the current frame of the bird's eye view are fused, natural transition of the transparent chassis image is realized, image misplacement is avoided, and display effect of the transparent chassis and vehicle driving safety are significantly improved.

This application provides a method, apparatus, electronic device, and storage medium for 4D reconstruction of equines, relating to the field of image processing technology. The method includes: acquiring a monocular video sequence containing equine activity; performing motion estimation on each frame of the monocular video sequence to obtain motion parameters for each frame; wherein the motion parameters include model parameters and camera parameters of a parametric model designed based on equines, the model parameters including pose parameters, shape parameters, and global displacement parameters; selecting a frame from the monocular video sequence as a reference image, performing appearance reconstruction on the reference image to obtain 3D Gaussian attributes of 3D Gaussian units; and rendering based on the motion parameters and the 3D Gaussian attributes to obtain a target 4D video. This application can efficiently and faithfully reconstruct the 4D geometry and appearance of equines from monocular videos, and exhibits high robustness to incomplete viewpoint coverage.

The application discloses a speech-driven three-dimensional speaker animation generation method and device, and solves the problems of time jitter and style decoupling of a traditional continuous regression method by quantizing a continuous face motion parameter sequence into discrete tokens; a StyleEncoder is innovatively designed to extract a reference segment style vector, and the StyleEncoder is combined with a Prefilling strategy to be used as a prefix input of an autoregressive Transformer, so that natural style migration and controllable generation are realized; meanwhile, the audio features, motion tokens and style vectors are jointly modeled by using the Transformer, so that the animation and the speech rhythm are accurately aligned; finally, through high-fidelity decoding and FLAME2023 reconstruction rendering, three-dimensional speaker animation with consistent geometry, delicate expression and strong real-time performance is generated, and the generation stability, style controllability and visual reality are significantly improved, and the application is suitable for application scenarios such as virtual digital people and film post-production.

This disclosure provides a video image generation method, system, and apparatus, relating to the field of data processing, which can improve the problem of low user engagement. The specific technical solution includes: acquiring an initial video clip; modeling a target character in the initial video clip using character parameters input by the user; receiving user motion parameters input via a motion capture device; and, based on the user motion parameters, performing motion control on the modeled target character to generate a target game clip. This disclosure can greatly enhance user engagement in interactive videos experiencing AR, VR, MR, and even XR scenarios, generating videos with user participation and improving the user experience.