67results about How to "Avoid unrecognized" patented technology

The invention discloses a method for detecting and tracking obstacles in front of a vehicle, aiming to overcome the defect and shortage in detection and tracking of obstacles in front of the vehicle by using a single-type sensor. The method comprises the following steps of: 1. establishing a relation for realizing data conversion between a millimeter wave radar coordinate system and a camera coordinate system; 2. receiving, resolving and processing the millimeter wave radar data, and carrying out preliminary classification on the obstacles; 3. synchronously collecting a camera image and receiving millimeter wave radar data; 4. classifying the obstacles in front of the vehicle: 1) projecting scanning points of the millimeter wave radar data on a camera coordinate system by combining the methods of millimeter wave radar and monocular vision, and establishing a region of interest (ROI) of the obstacles on the image; 2) carrying out preliminary classification on different obstacles in theROI established on the image, and confirming the types of the obstacles by using different image processing algorithms; and 5. tracking the obstacles in front of the vehicle.

The invention provides a method for restoring a road traffic scene and a driver driving behavior based on multi-sensor data. Through the multi-sensor data and multi-restoration algorithm fusion, precise restoration of the road traffic scene and the driver driving behavior is realized. The method for restoring the road traffic scene and the driver driving behavior based on the multi-sensor data particularly comprises the steps that the precise restoration of a vehicle running track is realized by mutual calibrating of multi-source data; precise measuring of the speed and distance of a barrier is realized on the basis of single-camera vision and a millimeter-wave radar; and the multi-source data fusion generation is smaller than the road traffic scene, and the driving behavior is greater than data pairs. According to the method for restoring the road traffic scene and the driver driving behavior based on the multi-sensor data, the defects that the data source in the prior restoration art is singular, high quality data is obtained relying on expensive equipment, and restoration precision is low are overcome.

The disclosed agent access method comprises: a network control device set between the initial end and objective end receives access request to transform protocol and modify the original address into self network address, and sends the access request to the accessed end. This invention ensures the interconnection between two ends efficiently.

The invention provides a pulse laser radar for large scale mapping and a method of the pulse laser radar. N sets of laser emitting units and echo detecting units are arranged on a laser head of the pulse laser radar, N>=2, and the N sets of laser emitting units and echo detecting units are distributed along the outer diameter of the laser head with a 2pi / N central angle with a rotary shaft as a center. Each laser emitting unit comprises a laser and an emitting optical system, each echo detecting unit comprises a detector and a receiving optical system, and according to the distance between the emitting optical systems and the receiving optical systems, the echo energy receiving rate ranges from 10 percent to 75 percent when the detecting distance ranges from 2 m to 15 m. High scanning frequency can be achieved, and the distance detecting dynamic range can be improved.

The invention discloses a method and a device for detecting a molten silicon liquid level of a monocrystalline silicon crystal pulling furnace. The method comprises the following steps: installing a liner laser and a camera at a viewing port of a single crystal furnace, and slantly irradiating a liner laser beam from the viewing port of the crystal pulling furnace onto a heat shield and a molten silicon liquid level, wherein the molten silicon liquid level performs mirror reflection on the laser beam irradiated thereon, a reflected light beam is projected onto the heat shield, and the projective light beam on the heat shield also can be projected onto the molten silicon liquid level. Along with change of the molten silicon liquid level, a contact point of the laser beam and the molten silicon liquid level also changes, so that the distance from the reflected light beam on the heat shield to the projection on the molten silicon liquid level also changes, therefore, positions of pixels of the light beam received by the camera are changed; actual liquid level change information can be obtained by calibrating position change of a pixel between two projection points on an image and the actual position change of the molten silicon liquid level.

The invention relates to the technical field of parking management, in particular to a vehicle supervision method and system. The vehicle supervision method comprises the steps that vehicle image information and position information sent by a photographic device provided with a locating function are received, and the vehicle image information comprises an image containing plate number information;whether a target vehicle corresponding to the image containing the plate number information is an illegal parking vehicle or not is judged according to the position information and a preset information base, if so, a sign is added in the vehicle image information. Whether the target vehicle corresponding to the image containing the plate number information is the illegal parking vehicle or not isjudged according to the vehicle image information and the position information collected by the photographic device provided with the locating function, if so, the sign indicating that the target vehicle is the illegal parking vehicle is added into the vehicle image information, so that the problem of illegal parking is conveniently and rapidly processed, the processing time is effectively shortened, and the processing efficiency is improved.

The invention discloses a modulation signal identification method based on course learning, and mainly solves the problem of low identification rate caused by signal noise in the prior art. Accordingto the scheme, the method comprises the steps of acquiring a trained modulation signal sampling sequence and corresponding mark data, and preprocessing the sampling sequence; constructing a deep residual network; taking the preprocessed sampling sequence as the input of a deep residual network, taking the mark data of the sampling sequence as the modulation type corresponding to the maximum component in the output vector of the deep residual network, and training the constructed deep residual network by utilizing a training strategy of course learning to obtain a trained network; and taking the modulation signal grey-scale map to be identified as the input of the trained network, wherein the modulation type corresponding to the maximum component in the network output vector is the identified modulation type. According to the method, the training speed is increased, the influence of too strong signal noise on the recognition rate is reduced, the modulation recognition performance in a strong noise environment is improved, and the method can be used for electronic countermeasure and radio management.

The invention discloses an element recognition method. The method includes following steps: a to-be-matched target picture and at least two template pictures of a to-be-recognized element are read; template matching of the at least two template pictures and the to-be-matched target picture is performed, and at least two corresponding groups of matching values are obtained; operation of the at least two groups of matching values is performed according to a preset calculation rule, and a group of matching results are generated; and each matching result in the group of matching results is compared with a preset threshold, and the position of the to-be-recognized element on the target picture is recognized according to the relation of the matching results and the threshold. The invention also discloses an element recognition apparatus. According to the element recognition method and the apparatus, high recognition accuracy is guaranteed when the target picture is stained, incomplete, or deformed.

The invention provides a CS-framework-software automation testing method and system based on a UI. The method includes the steps that names and identification information of all parts of to-be-testedsoftware are identified; description files of the parts are formed according to the names and the identification information of all the parts; testing preparation scripts are called to obtain runningenvironment data of the to-be-tested software; according to names of testing case scripts, testing case execution lists are formed; according to sequences of the names of the testing case scripts in the testing case execution lists, testing case execution scripts are called according to all the testing case scripts in the testing case execution lists, the to-be-tested software is initialized through the running environment data, and the testing case scripts are executed; execution results of the testing case scripts are checked by calling checking result scripts; after full testing case scripts are completely executed, report generation scripts are called to generate testing reports of the to-be-tested software. According to the CS-framework-software automation testing method and system based on the UI, automation testing of CS framework software is achieved.

The invention discloses a modal identification method based on local density peak clustering, and belongs to the field of modal identification of a multi-modal industrial process, and the method comprises the steps: collecting data in different modals of the multi-modal industrial process, and forming a to-be-identified modal data set; calculating an Euclidean distance between every two sample points in the data set, and determining a k-nearest neighbor set of each sample point; calculating the local density value of each sample point under the k neighbor set, and determining the minimum Euclidean distance from each sample point to the sample point higher than the local density value of the sample point; determining a sample point as a clustering center; distributing residual sample pointsto obtain a preliminary clustering result; and performing window division on the data set, and updating the sample points contained in each mode to obtain a final mode identification result. Loss ofthe clustering center of the transition mode can be avoided, and accurate identification of the starting point and the end point of the transition mode is realized.

The invention discloses a lane boundary interactive extraction method based on vehicle-mounted point cloud data. The method comprises the steps of obtaining a vehicle-mounted point cloud data set, manually selecting an initial direction, training sample data, identifying and denoising lane boundary point cloud, extracting and denoising a lane boundary center line, and fitting and extracting a vector boundary; and taking two ends of a fitting vector boundary as a new starting point and an extension direction, repeating the following steps of training the sample data until a new lane boundary cannot be obtained, and obtaining the lane boundary of the vehicle-mounted point cloud data this time. According to the method, the GPS time is divided into scanning lines and the interactive extractionmethod is adopted, so that the complexity of single to-be-processed data can be reduced, the data processing efficiency can be improved, and the lane vector boundary extraction precision can be improved; and meanwhile, sample data is repeatedly trained and the threshold value is updated each time when the lane vector boundary is iteratively extracted, so that the problem that the low-reflection-intensity identification line cannot be identified is effectively avoided, and interactive high-precision rapid extraction of the lane boundary line under a complex condition is realized.

The invention discloses a machined metal workpiece automatic identification method based on a 3D printed quick response code. A metal 3D printer is applied to complete making of the quick response code, the method comprises the following steps that powder (6) is prepared; a pattern of the quick response code is designed; a substrate plate (8) is fixed on a working table board (7); the prepared powder (6) fills a powder falling hopper (5); an equipment control system (3) is used for controlling a path of red light scanning in a laser; a red light switch (2) of the laser is turned off, a laser switch (4) of the laser is turned on, powder layers are subjected to laser scanning and sintering, and the required quick response code is formed by accumulating the powder layer by layer; and the printed quick response code is embedded into a machined metal workpiece. According to the machined metal workpiece automatic identification method, the problems that the quick response code which is directly etched in the machined workpiece is low in depth and difficult to identify are avoided, and the problem that the quick response code cannot be identified due to the fact that the machined workpiece is corroded, cracked or deformed when reaction occurs in the heat treatment process of the machined workpiece is avoided as well.

The embodiment of the invention discloses an inter-network interaction method, device and system, relates to the technical field of communication, and can solve the problem of how to process sessionsin a 5G network and a 3G network. According to the specific scheme, the method comprises the steps of obtaining first information, wherein the first information is information related to interaction between a first network and a second network; and determining an access operation of accessing the second network according to the first information. The embodiment of the invention is applied to a scene of interaction between networks.

The present invention relates to a timing method and system based on wireless location. The method comprises: a modeling step: performing digitalization modeling based on the fixed information of a work area, obtaining an area model, and performing initialization of the area model based on the fixed objects in the work area; a location step: allowing at least one worker carrying a wireless emission device to enter the work area, and determining the positions where all the workers entering the work area are located in the area model according to a wireless receiving device and the wireless emission devices carried by the workers; and a timing step, obtaining the time information of all the workers according to a setting behavior rule and the positions where the workers are located in the area model. The timing method and system based on wireless location are able to accurately and automatically consider employee work and solve manpower abuse to improve the employee efficiency, accurately calculate the work hours to provide accurate information for the enterprise quotation, and perform the data excavation based on the work and the work hour information to improve the productivity of enterprises.

The invention discloses an adaptive exogenous variable identification method, comprising the following steps: setting a data set, wherein each variable in the data set contains m sample data, setting a matrix, setting an array; calculating the data set and other Perform least squares regression operation on all data to obtain residuals; calculate the mutual information between variables and all residuals; replace the mutual information with the elements in the matrix; calculate the maximum value of each row in the matrix and store it in the array; Find the minimum value in the array; find the variable that is independent of all remaining residuals is the exogenous variable. The invention utilizes the idea of ​​maximum and minimum, combined with the characteristics of exogenous variables, so that the introduced independence determination parameter is an adaptive parameter value, which avoids the problem of low recognition rate caused by traditional algorithms being sensitive to differences in independence values, and also avoids the Different data sets are sensitive to fixed independence parameters and lead to unidentifiable defects, improving the identification of exogenous variables.

The invention discloses an airplane target detection method based on a sketch map candidate box strategy and Fast R-CNN. The method includes extracting sketch line segments which possibly form an airplane wing by utilizing the geometric position relation of line segments in the sparse representation model of the sketch map, judging the orientation of an airplane main shaft according to the extracted paired sketch line segments, and designing different methods according to different main shaft directions to obtain candidate frames of the airplane; and performing classification regression on thecandidate frame by using the obtained candidate frame in combination with a Fast R-CNN network and by using an overlapping multi-scale partitioning strategy to obtain a final target detection result.The method for extracting the candidate frame of the airplane target in the image by adopting a weak supervision mode can also be used for carrying out classification identification through an SVM orinputting other classification regression networks for further identification to obtain the position of the airplane target in the image so as to achieve the purpose of airplane detection in the image.

The invention discloses a shared bicycle borrowing and returning method and system based on account authentication. The shared bicycle borrowing and returning system comprises a user account verification module, a code-scanning unlocking module and a code-scanning bicycle locking module. By means of the method and the system, the technical problem that the bicycle borrowing time is long since thetime of authenticating a two-dimensional code of a shared bicycle is long and the two-dimensional code cannot be recognized is solved.

The invention discloses a rural tourist route planning system and planning method, relating to the technical field of tourism planning. By re-establishing a tourist map of the country, scenic spots and routes of villages can be accurately displayed, the method is superior to a navigation map in the prior art, each country lane is clearly marked, tourists search rural destination points and searchtarget scenic spots manually, a route map between scenic spots is intelligently generated and sequentially visited from the starting point, so that time consumption such as detouring of the tourists is avoided, the touring time and travel time are calculated, touring route information is defined, the tourists are helped to reasonably arrange time, the tourists are helped to plan rural touring routes, and the situation that rural roads and scenic spots cannot be recognized through mobile phone navigation is avoided.

The invention discloses a service request processing method, device and equipment and a readable storage medium, and relates to the technical field of communications. The method comprises the steps ofreceiving a request for a first service; extracting a universal identification string used for identifying user identities in all services; determining the first identification field string to perform request processing; and when the request for the second service which does not belong to the same platform as the first service is received, carrying out processing on the basis of the universal identification string, so that the user is identified in all services on the basis of the universal identification string, the service development difficulty is reduced, the processing efficiency is improved, and the processing resources are saved. The method comprises the steps of when a first service request is received, extracting the universal identification string ; determining that a first identification field string corresponding to the universal identification string is added to the first service request; processing the first service request; when a second service request is received, determining that a second identification field string corresponding to the universal identification string is added to the second service request; and processing the second service request.

The invention provides a circuit breaker, and a method and a device for automatically adapting a topological signal, and relates to the technical field of circuit breakers. The circuit breaker comprises a circuit breaker body, a mutual inductor and a control panel, wherein the mutual inductor and the control panel are respectively arranged on the circuit breaker body, the control panel comprises aprocessor, a communication unit, a detection unit and a first memory, the communication unit, the detection unit and the memory are electrically connected with the processor, the detection unit is further electrically connected with the mutual inductor, the mutual inductor is used for being connected with topological equipment and a power line, the communication unit is used for being connected with an upper computer, and the upper computer is control equipment of the topological equipment. Compared with the prior art, the circuit breaker of the invention has the characteristics that problemthat the power distribution topology cannot be automatically identified when the equipment is replaced due to inconsistent topology signals of various manufacturers and no unified identification standard is provided is avoided.

The invention discloses a modulation signal recognition method based on course learning, which mainly solves the problem of low recognition rate caused by signal noise in the prior art. The scheme is: obtain the training modulated signal sampling sequence and corresponding marked data, and preprocess the sampling sequence; construct a deep residual network; use the preprocessed sampling sequence as the input of the deep residual network, and the marked data of the sampling sequence As the modulation type corresponding to the largest component in the output vector of the deep residual network, the deep residual network constructed by training the training strategy of course learning is used to obtain the trained network; the grayscale image of the modulated signal to be identified is used as the trained network Input, the modulation type corresponding to the largest component in the network output vector is the identified modulation type. The invention accelerates the speed of training, reduces the influence of too strong signal noise on the recognition rate, improves the modulation recognition performance in a strong noise environment, and can be used for electronic countermeasures and radio management.

The invention provides a dishwasher, and aims at solving the problems that a user needs to learn how to select washing programs, and the user might select an improper washing program so that tablewarecannot be thoroughly cleaned or resources are wasted. The dishwasher comprises a dishwasher sink body, a basket, a spring mechanism, a magnet, a sensing triggering device which is arranged on the part, corresponding to the magnet, of the outer side of the dishwasher sink body, and a program controlling module which is electrically connected with the sensing triggering device, wherein the programcontrolling module is used for calling a corresponding washing program when the connecting of a corresponding sensing switch is triggered by the sensing triggering device. The dishwasher has the advantages that the to-be-cleaned tableware loading capacity can be recognized to automatically select a corresponding washing program, the operation difficulty of a user is reduced, and a better washing effect and energy consumption level are ensured.

The invention discloses a pig health management system based on pig face recognition and RFID recognition. A method based on the system comprises the following steps of: enabling each pig to wear an RFID ear tag and to be provided with a corresponding pig face picture; when a pig drinks water, enabling the RFID read-write device to read a label of the pig drinking water, collect a pig face pictureof the pig, and measure the body temperature of the pig at the same time; identifying the pig face, checking the identification result with the RFID information to form a composite ID number, and performing associated storage on the body temperature data and the composite ID; and reporting the information of the drinking pigs with abnormal body temperature and less drinking times to the management platform, and carrying out early warning. Through dual identity recognition of the pig face and the RFID tag, the problem that the RFID ear tag has a certain tag falling rate is solved, the body temperature of a pig is measured during identity recognition, and the health state of the pig can be effectively supervised.

The invention discloses a scholar research interest label mining and evolution analysis method and system and a medium, and relates to the field of text mining and data mining. The main process involved in the invention comprises the following steps: collecting and storing academic achievement information of scholars; preprocessing academic achievement information; mining academic research keywords on each time slice in academic career of the scholar; establishing a research keyword co-occurrence graph on each time slice; identifying a research keyword community on each time slice; and extracting research interest labels on each time slice. On the basis, the evolution condition of the study interest of the scholar can be obtained according to the study interest label of the scholar in each time slice. According to the scholar research interest label mining and evolution analysis method provided by the invention, intelligent extraction of the scholar research interest label and intelligent analysis of the research interest evolution process in the scholar academic career can be realized on the premise of no prior information.

The present invention provides a method for restoring road traffic scenes and driver's driving behavior based on multi-sensing data. Through the fusion of multi-sensing data and multi-restoration algorithms, the accurate restoration of road traffic scenes and driver's driving behavior is realized, specifically including: Mutual correction of multi-source data to achieve accurate restoration of vehicle trajectory; based on monocular vision and millimeter-wave radar to achieve accurate measurement of obstacle speed and distance; multi-source data fusion generation <道路交通场景，驾驶行为>data pairs. The invention overcomes the disadvantages of single data source in the existing restoration technology, relatively high-quality data obtained by relying on expensive equipment, and low restoration precision.< / 道路交通场景，驾驶行为>

The invention provides a dish-washing machine for solving the boundedness problem that a washing program of the dish-washing machine in the prior art cannot be adjusted according to a borne pressure of a dish basket. The dish-washing machine comprises a spring mechanism arranged at a bottom of the dish basket and used for stretching up and down according to the dish basket pressure; at least a pair of sensing trigger devices arranged at preset sensing locations on the same horizontal level of the outside of a dish-washing machine cell body; each sensing trigger device is used for sensing a magnetic field signal produced by a magnet group correspondingly arranged on the dish basket, and sending the sensed magnetic field signal to a program control module; and the corresponding washing adjusting program is called according to a sensing magnetic field signal state received by each sensing trigger device at present through the program control module. By adopting the dish-washing machine provided by the invention, the capacity of to-be-cleaned tableware can be identified and loaded, and the washing program can be adjusted according to the capacity of the to-be-cleaned tableware, therebyguaranteeing good washing effect and dish-washing machine energy consumption level.

The invention discloses a manufacturer name identification method and device, electronic equipment and a readable medium. The method comprises the following steps: acquiring an element text corresponding to a manufacturer of an electronic element from a bill of material file; preprocessing the element text to obtain an element text of the electronic element; performing word segmentation on the element text to obtain at least one keyword; and determining a standard manufacturer name of the electronic component according to each keyword. According to the scheme provided by the invention, the manufacturer name in the BOM file can be identified more accurately.

The invention discloses a system and a method for outputting an invisible two-dimensional code graph to a washer wrinkle fabric. The system comprises a worktable, a feeding mechanism, a flattening mechanism, a printing mechanism, an electronic control box, a control board, a drying mechanism, a conveying belt, a traction mechanism, a cutting mechanism and a PLC controller, wherein the conveying belt is embedded in the center of the top of the worktable; the feeding mechanism is mounted on one side of the top of the worktable; the flattening mechanism is mounted on one side of the feeding mechanism; the printing mechanism is mounted on one side of the flattening mechanism; the drying mechanism is mounted on one side of the printing mechanism; the traction mechanism is mounted on one side ofthe drying mechanism; the cutting mechanism is mounted on one side of the traction mechanism; the electrical control box is fixed to one side of the bottom of the worktable through bolts; the controlboard is embedded in one side of the electrical control box; and the PLC controller is mounted in the electrical control box. The system is simple in structure and convenient in use; and the convenience of use is effectively improved.

The invention discloses an automatic ascending protection device for a drill bit in an incoming coal sampling machine, and belongs to the technical field of equipment of coal sampling machines. The device comprises two vertical gantry frames on two sides of the sampling machine, wherein the lower ends of the vertical gantry frames are arranged on guide rails through rail wheels; the vertical gantry frames are connected with a suspension beam; two ends of the suspension beam are longitudinally and movably arranged through guide columns; the vertical gantry frames above the suspension beam are connected with a cross beam; pressure springs are arranged between the cross beam and the upper surface of the suspension beam; a sampling head transverse movement device and a sampling head rotating and lifting device are connected to the suspension beam; mechanical trigger switches are fixedly arranged under the cross beam above the suspension beam and connected to a control system of the sampling machine. The device is applied to the coal sampling machine and is capable of ensuring the success rate of sampling and reducing sampling failure accidents.

The invention provides a likelihood-based causal structure learning method. The method mainly comprises the steps of performing directed edge addition, deletion and overturning processing on initialized structure graphs D; calculating score values SGk of the casual structure graphs by utilizing observation data; selecting the causal structure graph corresponding to the maximum score value MaxSGk;comparing an increased value of the maximum score value of the causal structure graph with a threshold epsilon; and through multi-time iteration, obtaining a final causal structure graph. By effectively fusing likelihood and structure equation search, the problem of incapability of identifying a causal structure due to existence of a Markov equivalence class in a conventional method is solved; a structure equation model is combined with the likelihood, so that the method can be applied to high-dimensional causal structure search; and by utilizing an xgboost classification algorithm and a kernel density estimation method, the application range of the causal structure learning method is further expanded, so that the method can be applied to linear or nonlinear data.