34results about How to "Achieve real-time output" patented technology

The invention discloses a pose measurement method combining initial pose measurement with target tracking, and belongs to the field of computer vision. The invention aims to realize real-time output of pose parameters of a moving target in a video sequence for an irregular moving target. The method is technically characterized by comprising the steps that initial pose measurement of a target is conducted, the initial pose measurement of the target is used for starting follow-up target tracking, and real-time output of pose parameters is achieved. The method comprises the steps of reference pose measurement, feature point extraction and matching and pose measurement based on multi-point matching. Target tracking comprises searching and matching of edge features, tracking and matching of point features and nonlinear optimization solution of pose parameters. According to the method, the initial pose of the target is combined with a target tracking method, so that real-time output of the pose parameters of the moving target in a video sequence is realized; the method has a certain adaptive capacity to the change of the environment, and the pose of the object can be measured when the object is partially shielded.

The invention relates to an ionosphere scintillation satellite signal simulation system and a usage method thereof, is suitable for BDS/GPS satellite signals, and aims to solve the ionosphere scintillation environment technical problems in the BDS/GPS satellite signal propagation process; the satellite signal simulation system is suitable for the BDS/GPS satellite signals, and comprises a hardwaredevice and a host computer connected through a series port; the host computer is configured with host computer software; the host computer software is used for forming a hardware device needed scenefile and configuration simulation parameters, and controlling and displaying the hardware device; the hardware device comprises a baseband signal module, a high stability crystal oscillator connectedwith the baseband signal module, a single-chip microcomputer module, a DA module and a power supply module; the DA module is also connected in order with a radio frequency module and an antenna; the antenna work frequency range covers the BDS/GPS satellite signal frequencies. The ionosphere scintillation satellite signal simulation system can well solve said problems, and can be applied to the satellite navigation positioning field.

The invention discloses an anesthesia and consciousness depth monitoring system and a monitoring method. The system comprises an anesthesia depth sensor and a cerebral blood oxygen saturation sensor which are worn on the head, and a main controller which is connected with the two sensors through cables. Wherein the main controller comprises an electroencephalogram signal acquisition module, an infrared light transceiving module, a central processing unit, a display output module and a user input module; the central processing unit is used for sending a synchronous instruction acquisition signal to the electroencephalogram signal acquisition module and the infrared light transceiving module; receiving the electroencephalogram acquisition data processed by the electroencephalogram signal acquisition module and the cerebral blood oxygen acquisition data processed by the infrared light transceiving module; and the central processing unit performs synchronous data processing on the electroencephalogram acquisition data and the cerebral blood oxygen acquisition data to obtain electroencephalogram and cerebral blood oxygen saturation synchronous data, and displays a numerical value or a trend curve on the display output module. Electroencephalogram and cerebral blood oxygen collection is synchronized, and synchronous collection and analysis and real-time extraction of related indexesare truly achieved.

The invention discloses a weld defect real-time detection method and system based on 3D point cloud. The method comprises the following steps: setting a normal weld contour template based on historical data; scanning the cross section of the welding seam through line laser, collecting 3D point cloud data of the welding seam in real time, and recording initial contour data obtained through real-time scanning of the line laser as data; carrying out inflection point detection based on a DBSCAN density clustering algorithm, and determining current weld contour data; and calculating the distance d between the current welding seam contour data and the normal welding seam contour template through a DTW algorithm so as to judge whether defects exist on the surface of the welding seam. According to the method, whether the defects exist on the surface of the weld joint can be effectively distinguished without constructing a complex machine learning or neural network model, calculation resources are greatly saved, meanwhile, rapid and accurate real-time detection is achieved, therefore, the defects are found as early as possible in actual production, losses are reduced, weld joint scrapping is avoided, the repair cost is reduced, and high production value is achieved.

The invention provides a serial interface communication testing system comprising a control module, a level conversion module, a communication module, a first switch group and a second switch group. The level conversion module is electrically connected with the control module; the communication module is electrically connected with the control module; the first switch group is electrically connected with the control module, the communication module and the level conversion module; the second switch group is electrically connected with the level conversion module and the first switch group; the communication module comprises a first processing unit and a second processing unit; the first processing unit and the second processing unit transmit data with each other and are connected with thefirst switch group; the first switch group and the second switch group comprise a plurality of switches; the level conversion module is used for signal level conversion between the control module andthe communication module; the control module forms different testing loops by selectively switching on or switching off different switches in the first switch group and the second switch group; and the testing loops are respectively used for testing the communication status of the first processing unit and the second processing unit and the communication status of different communication loops between the first processing unit and the second processing unit.

The invention discloses a high-speed intermittently-loaded circular block contact erosion tester, which is characterized in that a mechanical main shaft driven by a motor is horizontally arranged on a worktable, a test ring is fixedly installed at the shaft end of the mechanical main shaft, and a test piece block is located right above the test piece ring and installed on a horizontally-arranged loading rod through a clamper. One end of the loading rod is hinged on a loading support while the other end of the loading rod is provided with a spring loading unit. The spring loading unit is provided with a loading support rod with a loading bolt, and the loading support rod is vertically arranged at the end part of the loading rod. The loading bolt leans against the loading rod. The bottom of the loading support rod is hinged with a vertical loading guide rod. A load testing sensor is connected with the lower end of the vertical loading guide rod. A spring base is arranged above the load testing sensor. The lower of the loading spring leans against the spring base while the upper end of the loading spring leans against the vertical loading guide support. The vertical loading guide support is installed on the worktable. The tester is used for simulating a contact erosion phenomenon of a high-speed shaft.

The invention discloses an imaging radar echo simulator, which comprises a target unit, a configuration unit, a high-speed processing unit and an output unit, and is characterized in that the target unit is used for configuring a backscattering coefficient of a target scene in an imaging area of an imaging radar; the configuration unit is used for configuring flight parameters of the target scene; the high-speed processing unit is connected with the target unit and the configuration unit, and is used for accessing and calculating imaging radar operating parameters such as the backscattering coefficient of the target scene in the imaging area of the imaging radar and the flight parameters of the target scene and generating echo simulation data; and the output unit is connected with the high-speed processing unit, and is used for converting the echo simulation data into required echo simulation signals and outputting the echo simulation signals. The imaging radar echo simulator overcomes the defects of a traditional echo simulator that the computing capability is insufficient and that dynamic echo generation is subjected to restrictions, and can carry out high-speed calculation and can dynamically generate imaging radar echoes in a simulated manner in real time.

The invention discloses an endpoint detection algorithm based on a high-speed pulse type image sensor. The algorithm comprises the following steps: firstly, converting a high-speed pulse into an eventsignal with a direction; then carrying out direction planning on the points determined to be on the same straight line; according to the method, a high-speed pulse type image sensor output signal which cannot directly generate an image is converted into an event format with a direction, the process of restoring and processing a whole frame of image is omitted, only an endpoint event most valuablefor motion detection is output through iterative search, and the method can be used for high-speed real-time object detection.

The invention discloses a laser three-dimensional point cloud-based autonomous pose estimation method for a soft landing end segment of a detector, and the method comprises the steps: 1), receiving a point cloud data package outputted by a laser radar, and carrying out frame division; 2) preprocessing each frame of point cloud to obtain a point cloud frame sequence; 3) selecting an optimal drop point by using the first frame of the point cloud frame sequence and selecting an optimal drop point and adopting a point cloud segmentation + neighborhood radius search algorithm; 4) performing 3D SIFT feature point-based matching on non-first frames of the point cloud frame sequence to realize pose estimation; and 5) calculating relative navigation information according to the pose estimation. According to the invention, the problem of autonomous position and pose estimation according to the self-carried laser radar at the soft landing end segment of the detector without the support of external navigation information is solved.

In order to realize Hamilton adaptive interpolation algorithm on hardware logic to perform high-quality color reconstruction on Bayer image, the invention provides an FPGA implementation method of Hamilton adaptive interpolation in real-time image processing. 6 row RAM are utilized to cycle buff that original Bayer data, using two G components to recover the parallel operation, 3 ways of paralleloperation of R and B components, pipeline processing, data synchronization, etc, Hamilton adaptive interpolation algorithm is implement on FPGA, it can realize real-time processing of video stream with high resolution (up to 4K*4K resolution) and get higher quality images. The effect of image restoration is better than that of traditional linear interpolation algorithm, and there is a large marginin consumption of logic resources and maximum operating frequency.

The embodiment of the invention discloses an image processing method and device, an intelligent terminal and a storage medium, and the method comprises the steps of obtaining an initial image includedin a target application in response to a running operation instruction for the target application, and wherein the resolution of the initial image is a first resolution; calling an image restorationmodel to reconstruct the initial image to obtain a target image, wherein the resolution of the target image is a second resolution, the second resolution is larger than the first resolution, and the image restoration model is obtained by training in an image super-resolution mode; and when the target application runs to a target user interface associated with the initial image, displaying the target image in the target user interface, so that the resolution of an output image of the user interface can be improved while the package size of an application program is reduced.

The invention discloses an FPGA-based real-time remote sensing image geographic reference method. The method comprises the steps of: S1. selecting geographic reference image coordinates to construct acontrol point-to-coordinate relationship model; S2. selecting corresponding coordinate parameters from the control point-to-coordinate relationship model to convert to-be-corrected image coordinates(xg, yg); S3, judging whether the to-be-corrected image coordinates (xg, yg) are positive numbers, and if so, entering the next step; otherwise, ending; S4, judging whether the to-be-corrected image coordinates (xg, yg) are within a selected geographic reference image range, and if so, entering the next step; otherwise, ending; and S5, obtaining a gray value of the to-be-corrected image coordinates (xg, yg) through the nearest-neighbor interpolation algorithm, and performing resampling to output a remote sensing image with geographic coordinates. The method is implemented by using FPGA as hardware, the design hardware language is the Verilog_HDL language, the algorithm code simulation is effective, and the real-time output of the geographic reference images is realized.

The invention discloses an autonomous navigation system for a miniature underwater detection robot, and belongs to the technical field of AUV (Autonomous Underwater Vehicle) underwater navigation. The obstacle avoidance sonar sensing unit is used for detecting underwater landforms and scanning underwater objects to avoid collision when the underwater robot performs autonomous navigation; the magnetometer is used for acquiring magnetic field intensity and direction; the inertial measurement unit is used for acquiring a three-axis attitude angle, an angular rate and an acceleration; the data recorder is used for storing measurement results acquired by the obstacle avoidance sonar sensing unit, the magnetometer and the inertial measurement unit; the analog-to-digital converter is used for converting the analog signal into a digital signal; the input and output module is used for inputting and outputting data; the autonomous navigation system for the miniature underwater detection robot does not depend on an external sensor, does not need to arrange a sound wave communication positioning node, does not need to emerge from the water surface to combine GNSS signals, and achieves the purpose of long-time, independent and autonomous underwater navigation.

The invention discloses an off-line electric drive assembly NVH evaluation system, which comprises a data storage system, a driving simulation system and an acoustic image feedback system, and is characterized in that the data storage system comprises a rack test database used for importing off-line stored NVH rack test data; the driving simulation system comprises a driving control module and a driving simulation module, the driving control module comprises a brake pedal, an accelerator pedal and a steering wheel, and the driving simulation module is used for receiving a control signal of the driving control module, calculating a real-time rotating speed and a load and transmitting the real-time rotating speed and the load into the rack test database; the bench test database is also used for transmitting the corresponding NVH characteristic data to the sound image feedback system according to the received real-time rotating speed and load; the acoustic image feedback system comprises a real-time information display module and an acoustic output module. The NVH evaluation system and the evaluation method have the advantages that the NVH evaluation can be performed on the NVH rack test data stored offline, the research and development cost can be reduced, the research and development period can be shortened, and the like.

The invention discloses a driving test device and a driving test method for electrochemical driving. The driving test device comprises an electrochemical system and a test system. The electrochemicalsystem comprises a signal applying device, a working electrode, a counter electrode, a reference electrode and an electrolyte, and the working electrode is an artificial muscle fiber to be tested. Thetest system comprises a load and a data acquisition device, the load is arranged outside the electrolyte, the load is connected with the working electrode and can be driven by the working electrode to move, and the data acquisition device is used for outputting and storing displacement change information of the load in the form of a voltage signal. The driving test device provided by the invention monitors the displacement change information of the load through a non-contact displacement sensor so as to realize the collection of the driving signal of the working electrode, and the load is externally arranged, so that the risk that the load is corroded by the electrolyte is avoided, and the driving test device is safer.