389 results about "Scene matching" patented technology

The invention relates to a remote high precision autonomous integrated navigation and positioning method, which is characterized in that a Strapdown Inertial Navigation System (SINS) is used as a main navigation system during the whole flight course of the aircraft, assisted by 3D high precision position and attitude angle information provided by celestial navigation system (CNS) based on the least square differential correction in boost phase (or middle segment). In reentry phase (terminal), using the characteristics of synthetic aperture radar (SAR), such as strong penetration capability, high resolving precision and all-weather, the SINS can be corrected through accurate location information and course information provided by SAR scene matching after motion compensation when the aircraft reentry into atmospheres, so the impact point (hit) accuracy of the aircraft can be increased and the invention has remarkable effects of eliminating or decreasing non-guidance error. The invention has advantages of autonomy and high precision, which can be used for improving remote ballistic missile, remote cruise missile, navigation and positioning accuracy of remote aircraft, such as long-endurance unmanned aerial vehicle, etc.

The scene matching method for raising navigation precision includes the following steps: 1. for the topographic scene matching module in combined navigation system to read in topographic data based on the digital topographic picture; 2. to search mapping point in the topographic picture based on the current geographic location the inertial navigation system obtains; 3. to intercept the reference map data from the topographic picture around the mapping point; 4. matching the measured map and the reference map; and 5. correcting inertial navigation with the matched result so as to raise the precision of inertial navigation system greatly. One simulating combined navigation system is also disclosed, which includes an aviation trace planning module, a flight control module, an aviation trace generator, an inertial navigation module, a topographic scene matching module matching module and an image displaying module. It has high locating precision, high autonomy and excellent man-computer operation interface.

A digital mixer has a panel and a mixing processor configurable in matching with a scene to mix audio signals fed from input channels and to feed the mixed audio signals to output channels. The panel has an operator manipulable to operate the mixing processor, and a display provided for displaying a state of the mixing processor. Further, a storage is provided for storing configuration patterns of the mixing processor in correspondence to various scenes. A retriever is provided for calling one of the various scenes and for retrieving the configuration pattern corresponding to the called scene from the storage; a selector provided for selecting one of a preview mode and a non-preview mode. A controller operates when the non-preview mode is selected for actually configuring the mixing processor according to the retrieved configuration pattern to thereby enable the mixing processor to reproduce the corresponding scene, and operates when the preview mode is selected for producing a preview of a configured state of the mixing processor according to the retrieved configuration pattern without actually configuring the mixing processor to thereby enable the display to present the preview.

Embodiments of the invention disclose a foreground application program scene synchronization method, apparatus and system. By receiving a process name and a process number of a foreground application program running in the user space of the operating system, the kernel space of the operating system searches a scene matching the process name of the foreground application program according to the corresponding relationship between the scene and the process name of the foreground application program, a processor configuration policy that matches the searched scene is obtained, and the processor configuration policy is executed to match the operational requirements of the foreground application program, so that configuration of the processor can precisely match the operational requirements of the foreground application program, system performance is optimized, and power consumption is reduced.

The present application relates to a medical data processing method, device, computer equipment and storage medium. The above method includes: acquiring medical data, including medical records and/or medication records; analyzing the medical records and/or medication records to obtain a medical review scenario of the medical data; Corresponding review model; extract features corresponding to the review model from the medical data through the review model, and calculate the risk score of the medical data according to the features; when the risk score is greater than the value associated with the medical review When the scene matches the preset threshold, the medical data is marked as suspicious data. The above-mentioned medical data processing method, device, computer equipment and storage medium can effectively prevent insurance fraud and reduce the loss of public interests.

The invention discloses an integrated navigation system applied to a pilotless aircraft, which adopts a sensor comprising an inertial sensor, a radio altimeter, a communication module, a camera and the like, wherein the inertial sensor is used for acquiring motion acceleration and angular velocity of a carrier, and providing the motion acceleration and the angular velocity for an inertial navigation system and a vision navigation system in the unknown environment for setting up a system equation, thus further providing the current location information and matched trigger signals for scene matching navigation. The method integrates four combination ways which are inertial navigation, cellular wireless location navigation, vision navigation in the unknown environment and the scene matching navigation, and the four combination ways form each subsystem of the integrated navigation system and can be independently used for estimating the state of the aircraft; then, fault diagnosis and fusion estimation are carried out on the data output by the subsystems by a main filter, so that the accurate estimation of the state of the aircraft is obtained.

The invention relates to an air vehicle full-parameter navigation method based on sequence image and reference image matching. The method includes: mounting a camera, an inertial navigation system, a data processing device and a storage device on an air vehicle, and storing ground reference image data of prospective regions on a data storage device, so that an air vehicle full-parameter navigation system based on scene matching is formed. By means of sequence image and reference image matching and by the aid of Kalman filtering for integrated navigation with inertial navigation, high-precision full-parameter measurement for air vehicle navigation can be achieved, and the method has wide and important application prospect.

A scene matching reference data generation system inputs a set of probe data. The set of the probe data includes captured images sequentially obtained by a plurality of probe cars and the vehicle positions of the probe cars. The system temporarily stores the captured images, evaluates image similarity degrees of the captured images, and assigns the similarity degrees to the captured images. The system selects, as a plurality of processing target captured images, a plurality of the captured images having similarity degrees equal to or higher than a first predetermined degree, determines a representative image-capturing position that is a representative of the image-capturing positions of the plurality of the processing target captured images, generates image feature point data based on the plurality of the processing target captured images, and generates the reference data for scene matching by associating the image feature point data with the representative image-capturing position.

The invention discloses a dangerous trade safety training system based on head-mounted mixed reality equipment. By utilizing mixed reality equipment and training system software, virtual scenes are displayed on a semi-transparent display before eyes of a trainee, and the virtual scenes are cooperated with reality scenes to realize the true simulation of various kinds of dangerous conditions, so that safety training is effectively performed on related employees. The system is composed of the mixed reality equipment, the training system software and matched reality scenes, wherein the mixed reality equipment is integrated head-mounted equipment which is capable of operating independently and is composed of a processor, a memorizer, various kinds of sensors, the semi-transparent display, a loudspeaker and the like; the training system software is used for virtual scene establishment, man-machine interaction control, multi-person scene matching, training process and result recording and analyzing, and the like; and the matched reality scene are determined by specific training content. The system overcomes the defects of off-site training and gives the trainee the experience closest to on-site training, and the best training effect is obtained.

Embodiments of the invention provide an information interaction method and device and electronic devices and relates to the field of communications and artificial intelligence. The information interaction method comprises: acquiring overall interactive contents of multiple target users; determining specific interactive content related to each target user; judging whether the target user related to the specific interactive content needs an information reminder based on the determined specific interactive content; if yes, finding reminder information matching with the specific interactive content, and displaying in a reminding scene matching with the specific interactive content, the reminder information to the target user related to the specific interactive content. By using the method and device and electronic devices provided in the application, it is possible to analyze interactive contents of multiple target users and provide specific reminder information.

The invention discloses a method for automatically recognizing a target at medium and low altitudes and positioning a carrier with high accuracy and belongs to the field of scene matching guidance. The method comprises the following steps of: extracting a constant algorithm and establishing an H model based on an image scale characteristic to match and recognize targets and provide a high-accuracy navigation information source; coordinating and planning relative parameters according to a matching result which is fed back in a self-adaptive mode to further control matching performance; researching integral image-based average filtering which generates an image multi-scale space instead of Gauss convolutional filtering so as to increase a matching speed; establishing an image space transformation model which adapts to the strong matching capability of the algorithm based on the thought of random sampling consistency according to an image matching result; and eliminating accurate positioning pixels of wrongly matched points based on the model to recognize the target and provide the high-accuracy navigation information source through model mapping, and simultaneously, selecting a digraph of known transformation parameters to verify the performance and the result of an image matching algorithm according to the transformation model.

The invention relates to a scene matching semi-physical simulation system based on a mechanical arm with six degree of freedom, consisting of hardware systems such as a simulation calculation sub-system, a mechanical arm sub-system with six degree of freedom, a photographing sub-system and a large-screen projection sub-system, and a scene reference map database, a scene matching software, a matching area selecting and a flight path planning software, and a relevant software of a mechanical arm motion model for simulating flight attitude. The actual work process of scene matching is simulated by using the mechanical arm with six degree of freedom, a camera, a large-screen projector and a mechanical arm motion model; a common PC is adopted as a simulation computer; the matching area selecting and the flight path planning software generates matching area data and orbit data; the dynamic characteristics of the system is accomplished by utilizing the mechanical arm motion model and the large-screen projector; the main errors (illumination and smoke) of the system are simulated by controlling the turning-on and turning-off of a fluorescent lamp; and the collection of real-time images, the control of the mechanical arm, the control of the projection speed, and a matching calculation are accomplished in the simulation computer, thus accomplishing the scene matching semi-physical simulation system. The system truly simulates the actual work process and the error of the scene matching, and the experimental result has significant meaning to the research and manufacture and the applications of scene matching engineering samples and can replace the flight-test experimental process in the actual research and development process, thus greatly improving the research and manufacture efficiency, lowering the research and manufacture cost, and having significant economic value and popularization value.

This invention discloses a trigger method and a device for applied programs, in which, the method includes: matching scene modes to determine a related animation effect and obtain the current focal position of a cursor after testing a trigger instruction, and an applied program window displays at a current focal position of the cursor going with the animation effect determined in the scene matching mode so that the window displays at the current focal point of the cursor accurately, it's not necessary for users to look for the display position of the applied program on the computer screen so as to increase experience of users greatly, in addition to that, applied programs can hide themselves automatically when they do not operate so as to save space.

The invention relates to a method for self-adaptive matching with an aided driving system. The method comprises the steps that the current running speed of a vehicle is compared with preset speeds todetermine whether a first scene or a second scene is enabled for matching, wherein the preset speeds include a first preset speed and a second preset speed; under the situation that the current running speed of the vehicle is greater than the first preset speed, the first scene is enabled for matching, and under the situation that the current running speed of the vehicle is smaller than the secondpreset speed, the second scene is enabled for matching; if specified conditions are met during first scene matching, a first function for aided driving is enabled; if specified conditions are met during second scene matching, a second function for aided driving is enabled. The environment sensing capability of a mature vehicle-mounted radar can be combined to conduct driving state analysis on vehicles running around a vehicle body, the running state of the vehicle and traffic indicating mark information sensed through machine vision are combined to achieve self-adaptive matching with variousfunctions of the aided driving system.

The invention discloses an SINS (strap-down inertia navigation system)/SMANS (scene matching auxiliary navigation system)/TRNS (terrain reference navigation system) combined navigation method based on federated filtering and a system. The method includes the following steps: performing image matching for scene matching auxiliary navigation, and confirming the position of an aircraft through the affine transformation relationship between a digital map and a shoot image; performing terrain matching for the terrain reference navigation through adopting the terrain matching method, and confirming the position of the aircraft as per the elevation data; building an error model for the SINS, as well as observation models of the SMANS and the TRNS; and performing information fusion for the output of the SINS, the SMANS and the TRNS, so as to obtain the optimum estimation result, and further calibrate the SINS; The system includes an atmosphere inertia navigation system, a flight path generator module, an SINS/SMANS combined navigation system, an SINS/TRNS combined navigation system and a federated filtering module. The method and the system can effectively improve the accuracy of the navigation systems, and have high fault tolerance, independency and reliability.

The invention discloses a ground static target real-time identifying and tracking method, belongs to the field of imaging target automatic identification, and aims to identify small targets in high-resolution sequence images more accurately and feed identification results (target positions) back to a servo system in real time. The method comprises a temperature generation step, a low-resolution global identification step, a high-resolution local identification step, and a state transfer and judgment step. Aiming at normalized product correlation, the method has the characteristics of no influence of proportionality factor error, strong anti-white noise interference capacity and large calculation amount; and a method combining scene matching under a condition of low resolution and local exact matching under the condition of high resolution is adopted, so that the method reduces the calculation amount, effectively solves the problem of real-time exact identification of high-resolution small targets, meets the requirements on real-time of processing speed and the accuracy of identification under the condition of the high resolution, and has strong adaptability and simple calculation and operation.

The invention discloses a shooting parameter adjusting method and device and electronic equipment, and belongs to the technical field of communication, and the method comprises the steps: obtaining apreview image in a shooting preview interface; performing scene recognition on the preview image to obtain a target shooting scene; and adjusting a target shooting parameter of a target preview area of the preview image according to a target shooting parameter value associated with the target shooting scene, and displaying a prompt identifier. According to the shooting parameter adjustment methoddisclosed by the invention, the shooting parameter of the target preview area in the preview image can be adjusted into the target shooting parameter matched with the target shooting scene, so that the image quality of the shot image is improved.

The invention discloses a front squint SAR imaging method based on a hypersonic aircraft at the level flight section. The front squint SAR imaging method mainly solves the problem that orientation pulses are compressed to distort on the condition of a small front squint angle of a high-speed platform. The front squint SAR imaging method includes the first step of obtaining radar echo signals, the second step of carrying out time domain calibration distance walking processing on the radar echo signals, the third step of carrying out distance linear frequency scaling processing after the time domain calibration distance walking processing, and obtaining two-dimensional frequency domain signals, the fourth step of carrying out range pulse compression and secondary pulse compression processing on the two-dimensional frequency domain signals, the fifth step of carrying out azimuth pulse compression and space-variant compensation processing on range processing results, and the sixth step of carrying out geometric distortion correction on azimuth processing results to obtain front squint SAR images. The front squint SAR imaging method reduces imaging complexity, and realizes high-precision front squint SAR imaging on the condition of the hypersonic platform; obtained geometric distortion correction images are favorable for follow-up SAR image processing and application and can be used for ground target recognition, scene matching and the like.

The invention provides a sound-based method and apparatus for generating an AR content and a storage medium. The method comprises: step 11, acquiring real-time voice data in a current AR environment;S131, determining whether the real-time voice data include a speaker; and if so, converting a speech content of the speaker in the real-time voice data into a text and extracting key semantic information; S132, extracting an artificial non-speaking sound or natural sound in the real-time voice data; S133, locating sound source locations of the speaker and the artificial non-speaking voice or natural sound; S15, carrying out scene matching based on the key semantic information and artificial non-speaking voice or natural sound; and S17, generating an AR content according to the key semantic information, the sound source locations, the scene or a real scene image in the AR environment and displaying the AR content. With the method provided by the invention, the AR content can be dynamicallygenerated based on the input voice and the AR intelligent display of the auditory information can be realized; and thus the convenient and intelligent services and experience can be provided for users.

The invention relates to a double-buffer ping-bang parallel-structure image processing optimization method based on DMA (direct memory access). The method comprises the following steps: a DSP (digital signal processor) is externally connected with an SDRAM (synchronous dynamic random access memory), images to be processed are stored in the SDRAM, dividing the image data in the SDRAM into 2N image bands, opening up odd-even buffer areas for storing odd-even image band data in the DSP, then utilizing fast data transmission capability of the DSP and a parallel working mode of a DMA controller and a CPU (central processing unit) to realize optimization processing for the images stored in the SDRAM. In the double-buffer ping-bang parallel-structure image processing optimization method, the utilization ratio of the CPU and the DMA controller is effectively improved, the operation speed of image processing algorithm is accelerated, the performance of the DSP in the aspect of real-time image processing is improved, and the method can be widely applied in the fields of real-time image processing, such as scene matching, image fusion and target tracking and the like, and also can be used for the field of military.

The invention discloses a picture-setting matching device for a virtual studio and a matching method thereof, the matching device comprises a camera, a pitch sensor and a horizontally-shaking sensor mounted on the camera, a signal input unit, a signal processing unit which analyzes the signal processed by the signal input unit in real time and obtains coordinates parameters of a foreground location and a camera current location via conversion, and a data output unit connected with a three-dimensional rendering apparatus; the matching method comprises the steps of: taking any site in a blue box as an origin of coordinates and establishing a spatial three-dimensional system of coordinates, aligning the lens of the camera to the origin of coordinates, enabling the lens to inerrably face XZ plane or YZ plane via pitch and horizontally-shaking movements; acquiring and transmitting, by the signal processing unit, the coordinates parameters of the foreground location and the camera current location to the three-dimensional rendering apparatus. The inventive device has simple structure and operation, which can effectually solve the issues about perspective relation matching between foreground and three-dimensional virtual scenes and about location relation matching between the camera and the three-dimensional virtual scenes.

The invention provides a man-machine multi-round dialog model construction method based on scene contexts. The method comprises the operation steps that (a) abstract expression concepts of the three contexts of terms, question-answer sentences and scenes are defined; (b) based on extraction methods of the three contexts, an original question-answer base is trained to be a question-answer scene knowledge base represented by multiple scenes; and (c) for an input question, abstract representations of the three contexts of the question are acquired first, then scene matching is performed, a question-answer sentence context sequence in the scenes is extracted and combined with current question sentence contexts to form a new question-answer sentence context sequence, so that a reasonable answeris generated. Through the method, the importance of context information in the man-machine multi-round dialog process is fully considered, the answer can be successfully generated in combination withthe context information without causing information loss, the question-answer sequence conforming to the current scene can be extracted from complicated data to serve as guidance knowledge assistinganswer generation, and noise influences brought by useless data is greatly lowered.