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Method for detecting and tracking obstacles in front of vehicle
InactiveCN102508246ASolve problems that are difficult to classify and identify at the same timeSolve elusive problemsPhotogrammetry/videogrammetryCharacter and pattern recognitionCamera imageImaging processing
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.
Owner:JILIN UNIV
Mobile phone charge calculating device
The invention discloses a mobile phone charge calculating device, which is characterized by comprising a wireless network, a service support server (9), a mobile phone, a network synchronization module (1), a monitoring module (2), a pricing module (3) and a storage module (4), wherein the network synchronization module (1) is arranged on the mobile phone and is used for synchronizing a charge billing rule of a user to the mobile phone; the monitoring module (2) is used for recording user conversation details; the pricing module (3) is used for pricing the user conversation details recorded by the monitoring module (2) by using the charge billing rule on the network synchronization module (1); and the storage module (4) is used for storing a bill after pricing in the mobile phone. The calculating device has high real-time performance and accuracy during charge calculation, can query the charge on the mobile phone directly, has a small charge detail record data volume, needs no password and is more convenient and efficient, and simultaneously the stored bill is convenient for a user to check the charge.
Owner:BEIJING WALI NETWORK TECH
IEEE1588 based accurate clock synchronization protocol system and synchronization method thereof
ActiveCN101977104ASave communication bandwidthImprove real-time performanceSynchronising arrangementBus networksInformation transmissionTimestamp
The invention relates to an IEEE 1588 based accurate clock synchronization protocol system and a synchronization method thereof, belonging to the technical field of network information transmission. By adopting the invention, a main clock carries an accurate timestamp while sending a synchronization message, and a follow message is not required to be sent, thus greatly reducing communication bandwidth required for realizing clock synchronization. Meanwhile a frequency adjustable clock counter is constructed, and clock synchronization algorithm is combined, so as to realize frequency compensation function and achieve high accuracy clock synchronization requirement.
Owner:SHANGHAI JIAO TONG UNIV
Moving object detecting and tracing method in complex scene
InactiveCN101141633AImprove accuracySuppress interferenceImage analysisClosed circuit television systemsObject motionVisual monitoring
The present invention discloses method for moving target detection and tracking in a complex scene. The method comprises two steps of multiple moving target detection and multiple moving target tracking: in the multiple moving target detection, a background model based on self adapting nonparametric kernel density estimation is established with the aim at the monitoring of the complex scene, therefore the disturbance of the movement of tiny objects can be effectively suppressed, the target shadow is eliminated, and the multiple moving target is detected; in the multiple moving target tracking, the target model is established, the moving state of the target is confirmed through ''matching matrix'', and corresponding tracking strategy is adopted according to the different movement condition of the target. Target information is ''recovered'' through the probabilistic reasoning method, and the target screening degree of the target is analyzed with the aim at the problem that multiple targets screen mutually. The algorithm of the present invention can well realize the moving target tracking, obtains the trace of the moving target, and has good real time and ability of adapting to the environmental variation. The present invention has wide application range and high accuracy, therefore being a core method for intelligent vision monitoring with versatility.
Owner:HUNAN UNIV
Rotating machinery vibrating failure diagnosis device and method
InactiveCN101135601AImprove reliabilityFriendly man-machine interfaceMachine part testingVibration testingHuman–machine interfaceData pre-processing
The method comprises: using a sensor to collect the characteristic signals; the collected signals about each kind of running state are sent to the data processing module; after processed, the signals are sent to the computer system; said computer system comprises a device database, a symptom event database, a diagnosis knowledge database; a device database and signal analysis module, a symptom acquiring module, a diagnostic reasoning module, and a diagnosis explaining module; the software of the data processing module makes data exchange; the symptom event database exchanges data with the diagnostic module, data processing module; the diagnostic knowledge exchanges the data with the failure processing module, knowledge acquiring module and data processing module.
Owner:北京英华达电力电子工程科技有限公司
Visual localization and obstacle avoidance method and system for unmanned plane
ActiveCN102707724AGood feasibilityImprove real-time performancePhotogrammetry/videogrammetryPosition/course control in three dimensionsObstacle avoidanceVisual localization
The invention provides a visual localization and obstacle avoidance method and a visual localization and obstacle avoidance system for an unmanned plane. The method comprises the following steps that an unmanned plane-mounted camera acquires visual sensing information of the unmanned plane, and acquires inertial navigation data by an inertia measuring unit of the unmanned plane; a remote control system receives visual sensing information and inertial navigation data, and obtains obstacle information in a flight environment where the unmanned plane is positioned according to the visual sensing information; an external camera performs visual localization on the unmanned plane to obtain the position information of the unmanned plane; the remote control system plans the flight path of the unmanned plane according to the obstacle information and the position information of the unmanned plane, and generates a flight control command according to the inertial navigation data and the flight path; and the unmanned plane receives the flight control command to control the unmanned plane to avoid obstacles. According to the embodiment of the invention, the problems of visual localization and obstacle avoidance of the unmanned plane are solved, and the unmanned plane has the capability of completing visual obstacle avoidance by using the plane-mounted camera and a positioning camera.
Owner:TSINGHUA UNIV
Method and system for monitoring application logs
ActiveCN102981943AImprove monitoring efficiencyImprove real-time performanceHardware monitoringData switching networksApplication serverApplication software
The invention discloses a method and a system for monitoring application logs. The method comprises the steps of capturing wrong information by an application server when exception occurs in a running application program, preprocessing the wrong information to generate an application blog, outputting the application blog to a monitoring server through a Scribe interface, receiving the application blog by the monitoring server through the Scribe interface to conduct sorted storing, reading the stored application log and obtaining the wrong information according to preset classification error types, then judging whether the obtained wrong information satisfies preset alarm strategies or not, and sending the obtained wrong information to a preset target user. By the application of the method and the system for monitoring the application logs, monitoring efficiency of the application blog can be improved, and real-time quality of application blog processing is promoted.
Owner:新浪技术(中国)有限公司
Unmanned aerial vehicle autonomous obstacle detection system and method based on binocular vision
InactiveCN105222760ARealize the function of effective obstacle avoidanceRealize the function of obstacle avoidanceTransmission systemsPicture taking arrangementsUncrewed vehicleObstacle avoidance
The invention relates to an unmanned aerial vehicle autonomous obstacle detection system and method based on binocular vision. The unmanned aerial vehicle autonomous obstacle detection system and method based on the binocular vision are characterized in that the system comprises a binocular visual system, other sensor modules and a flight control system which are mounted on an unmanned aerial vehicle; the method comprises the steps that the binocular visual system acquires visual information of the flight environment of the unmanned aerial vehicle, and obstacle information is obtained through processing; other sensor units acquire state information of the unmanned aerial vehicle; the flight control system receives the obstacle information and the state information of the unmanned aerial vehicle, establishes a flight path and generates a flight control instruction to send to the unmanned aerial vehicle; the unmanned aerial vehicle flies by avoiding obstacles according to the flight control instruction. According to the unmanned aerial vehicle autonomous obstacle detection system and method based on the binocular vision, the vision information is fused with other sensor information, the flight environment information is perceived, flight path control and path planning are conducted to avoid the obstacles, the problem of vision obstacle avoidance of the unmanned aerial vehicle is effectively solved, and the capacity of completing vision obstacle avoidance by means of a vehicle-mounted camera is achieved.
Owner:一飞智控(天津)科技有限公司
Cascaded neural network-based face key point detection method
InactiveCN103824049AAvoid mutual interferenceOptimize outputBiological neural network modelsCharacter and pattern recognitionPattern recognitionData set
The invention relates to a cascaded neural network-based face key point detection method. The method includes the following steps that: a) a training-used face image set is established, and a key point position requiring detection is marked; b) a first-layer depth neural network is constructed and is used to train a face region estimation model; c) a second-layer depth neural network is constructed and is used to perform face key point preliminary detection; d) local region division is continued to be performed on an inner face region; e) a third-layer depth neural network is constructed for each local region respectively; f) the rotation angle of each local region is estimated; g) correction is performed according to the estimated rotation angles; h) a fourth-layer depth neural network is constructed for the correction data set of each local region; and i) any face image is given, and the above four-layer depth neural network model is adopted to perform key point detection, such that final face key point detection results can be obtained. With the cascaded neural network-based face key point detection method of the invention adopted, face key point detection can be improved, and especially the accuracy and real-time property of dense face key point detection.
Owner:BEIJING KUANGSHI TECH
Oil field fracturing pumping remote automatic control system
ActiveCN101414171AMonitor and control operationsOrderly and stable operationTotal factory controlProgramme total factory controlAutomatic controlHuman–machine interface
The invention discloses a remote automatic control system of a fracturing pump skid used in an oil field. The system is used for remote automatic control of a well service pump skid and a truck-mounted skid used in the oil field; the remote automatic control system consists of a field control system which consists of Siemens S7-315 series PLCs which are taken as a core, a Siemens MP370 which is taken as a remote control human-machine interface, and Ethernet which is taken as a transmission media; the system can achieve remote control functions such as start, stop and emergency stop of an engine, gear shifting, braking, turning back to a neutral position and idle speed of a gearbox and the like, and the system can modify field running parameters in a remote manner, thus realizing bidirectional transmission between the pump skid and the human-machine interface (HMI); the Ethernet is taken for communication so that the pump skid can transmit the field data to a remote controller or a server at the speed of 100MB / S; an industrial exchanger is taken to connect the devices such as the PLC, the HMI and the like to achieve more group controls; the exchanger can convert the field data into the data formats such as a standard *.CSV format and the like, and directly transmit the data to the server for data processing.
Owner:YANTAI JEREH PETROLEUM EQUIP & TECH CO LTD
Gesture identification method and system based on visual sense
InactiveCN101853071AImprove usabilityImprove execution efficiencyInput/output for user-computer interactionCharacter and pattern recognitionVision basedUsability
The invention provides gesture identification method and system based on visual sense. The system comprises a gesture image acquisition device and a controller which are mainly used for realizing gesture image acquisition, image data entry, gesture image identification and operation command execution, wherein the gesture image identification comprises image binaryzation, gesture split, feature extraction and feature matching. The invention has real-time performance, obtains identification results by extracting and matching the features of gesture images of a user, and executes corresponding commands according to the identification results. In the invention, hands are used as input devices, only the acquired images need contain complete gestures, and the gestures can be allowed to translate, change in dimension and rotate within a certain angel, thereby greatly improving the use convenience of devices.
Owner:CHONGQING UNIV
Variational mechanism-based indoor scene three-dimensional reconstruction method
InactiveCN103247075ASolve the costSolve real-timeImage analysis3D modellingReconstruction methodReconstruction algorithm
The invention belongs to crossing field of computer vision and intelligent robots and discloses a variational mechanism-based large-area indoor scene reconstruction method. The method comprises the following steps: step 1, acquiring calibration parameters of a camera, and building an aberration correcting model; step 2, building a camera position and gesture depiction and camera projection model; step 3, utilizing an SFM-based monocular SFM (Space Frequency Modulation) algorithm to realize camera position and gesture estimation; step 4, building a variational mechanism-based depth map estimation model, and performing solving on the model; and step 5, building a key frame selection mechanism to realize three-dimensional scene renewal. According to the invention, an RGB (Red Green Blue) camera is adopted to acquire environmental data, and a variational mechanism-based depth map generation method is proposed through utilizing a high-precision monocular positioning algorithm, so that quick large-area indoor three-dimensional scene reconstruction is realized, and problems of three-dimensional reconstruction algorithm cost and real-time performance are effectively solved.
Owner:BEIJING UNIV OF TECH
Remote, automatic control system for oil field fracturing pumping
ActiveCN101414171BMonitor and control operationsOrderly and stable operationTotal factory controlProgramme total factory controlAutomatic controlHuman–machine interface
Owner:YANTAI JEREH PETROLEUM EQUIP & TECH CO LTD
Intelligent detection device of defects of mobile phone outer shell based on machine vision
InactiveCN102218406AGuaranteed accuracyQuick checkOptically investigating flaws/contaminationSortingEngineeringFrontage
The invention discloses an intelligent detection device of defects of a mobile phone outer shell based on machine vision. The device comprises a transmitting device, detection systems, a degraded product unit and a computer; the transmitting device comprises two transmitting strips and a diversion air cylinder; each detection system respectively detects the frontage side, the left side, the rightside, the front side and the rear side of the mobile phone outer shell; each detection system comprises an illumination unit and an image collecting unit; the illumination unit illuminates one side of the outer shell of the mobile phone, and the image collecting unit photographs; collected image signals are transmitted to the computer; the computer recognizes the degraded mobile outer shell, and transmits the serial numbers of the mobile outer shell with defects to a degraded product rejecting unit; and the degraded product rejecting unit rejects the mobile phone outer shell with defects. According to the invention, defects such as scratches, burr, discoloration, dent, bubbles of the mobile phone outer shell can be detected, the degraded products are separated automatically, and the device has the characteristics of intelligence, high efficiency, stability and high accuracy.
Owner:SOUTH CHINA UNIV OF TECH
Vehicle control system
ActiveCN1722030AImprove reliabilityImprove real-time performanceHybrid vehiclesAdaptive controlControl objectiveNetwork connection
A vehicle control device includes a sensor controller which uses the network connection to obtain sensor signals that represent the state quantity of a vehicle and the manipulated variable of a driver, a command controller which generates the control target value according to the sensor signals which are obtained by the sensor controller and an actuator controller which receives the control target value from the command controller to actuate the actuator for controlling the vehicle. The actuator controller is equipped with a control target value generation device which generates the control target value according to the sensor value of the sensor controller that is received by the actuator controller on the internet when the control target value generating from the command controller is abnormal. The actuator is controller through the control target value which is generated from the control target value generation device. The vehicle control device does not improve the prolixity degree of every controller above the required level. Through preventing errors in the whole system, the device can guarantee the reliability, the real-time character and the expansibility with simple ECU composition and low cost.
Owner:HITACHI ASTEMO LTD
Positioning system of mobile robot and positioning method thereof
ActiveCN102121827AWide applicabilityEliminate cumulative errorsNavigation by speed/acceleration measurementsVehicle position/course/altitude controlInformation processingWalking distance
The invention discloses a positioning system of a mobile robot and a positioning method thereof. The positioning system comprises a base station. A dead reckoning positioning system comprises an angular rate sensor used for acquiring angle information of the mobile robot and a displacement sensor used for acquiring walking distance information of the mobile robot. An ultrasonic laser positioning system comprises an ultrasonic laser transmitting device arranged on the base station, an ultrasonic laser receiving device arranged on the mobile robot and an information processing system. The position coordinates of the mobile robot in the ultrasonic laser positioning system can be obtained through the information exchange between the ultrasonic laser transmitting device and the ultrasonic laser receiving device. A data fusion unit is used for the fusion of the angle information and the walking distance information in the dead reckoning positioning system as well as the fusion of two position coordinates in the dead reckoning positioning system and the ultrasonic laser positioning system. The elimination of accumulated errors in the dead reckoning positioning system is implemented by the ultrasonic laser positioning system through the data fusion unit.
Owner:ZHEJIANG YAT ELECTRICAL APPLIANCE CO LTD +1
Method and system for screening face images
InactiveCN102799877AReduce data volumeRelieve computing pressureCharacter and pattern recognitionPattern recognitionFace size
The invention relates to a method and system for screening face images. The method comprises the following steps: according to preset face integrity standards, face size threshold and face position threshold, obtaining a first screening result; according to a preset definition threshold, obtaining a second screening result; according to a preset best angle threshold, obtaining a third screening result; and according to the sum of similarities between each face image and other face images, the definition of each face image and the face deflection angle, obtaining the weighting sum of each face image in the third screening result, and acquiring a face image with the maximum weighting sum for face identification. The method can be used for solving the problem that the face is mistakenly identified due to the low quality of an input image, the data volume of the face images is effectively reduced, and the operation load during face identification is relieved; and moreover, the data volume of the face images is reduced, front face images with high quality are effectively screened to be identified, and the accuracy and real-time performance of face identification are improved.
Owner:上海中原电子技术工程有限公司
Industrial robot workpiece positioning grabbing method and system based on visual guidance
InactiveCN103895042AAccurate calculationHigh positioning accuracyManipulatorVisual perceptionComputer science
The invention discloses an industrial robot workpiece positioning grabbing method based on visual guidance. The method includes the following steps that 1, a system parametric model is established, and calibration of a camera is conducted; 2, a workpiece feature template is determined; 3, workpiece template living examples are sought for, and the positions of workpieces are determined according to coordinate information of the living examples; 4, the speed of a target workpiece is calculated; 5, the pose, in a robot basic coordinate system, of the workpiece is predicted when the workpiece is located at a station to be grabbed; 6, a robot moves according to a planned path to approach and grab the workpiece and place the workpiece at the position of a target point. The invention further discloses a system for implementing the industrial robot workpiece positioning grabbing method based on visual guidance in the patent claim 1. The system comprises a conveying belt, an optoelectronic switch, a camera, an industrial control computer, the robot and the target workpiece. The system has the advantages of being high in positioning accuracy, high in working efficiency, high in automation degree and the like.
Owner:SOUTH CHINA UNIV OF TECH
Multiple no-manned plane three-dimensional formation reconfiguration method based on particle swarm optimization and genetic algorithm
InactiveCN101286071ASolving the Optimal Time Control ProblemSolving optimization problems with centralized controlGenetic modelsPosition/course control in three dimensionsLinear controlPiecewise linearization
The invention discloses a three-dimensional formation reconfiguration method for multiple unmanned aerial vehicles based on particle swarm optimization and genetic algorithm. The method considers the position of the unmanned aerial vehicle in the ground coordinates and the speed, track angle and course angle of the unmanned aerial vehicle when establishing a formation model, carries out subsection linear disposal of the control input of each flying unit in the unmanned aerial vehicle, replaces the approximate subsection linear control input with the continuous control input, then carries out global search by the genetic algorithm, subsequently carries out partial searching by the particle swarm optimization algorithm, on the base thereof, the particle swarm optimization is used to guide the genetic algorithm to search a global optimum solution so as to figure out the subsection linear control input. Compared with the traditional method, the method provided by the invention has good real-time performance and rapidity and can be used for solving the formation reconfiguration problem of multiple space robots under complex and dynamic environment.
Owner:BEIHANG UNIV
Collaborative interaction method for unmanned plane cluster and visual navigation system of unmanned plane
ActiveCN102393747AReal-time planningReduce latencyInstruments for comonautical navigationPosition/course control in three dimensionsEvaluation resultCommunication quality
The invention discloses a collaborative interaction method for an unmanned plane cluster and a visual navigation system of an unmanned plane. The collaborative interaction method for the unmanned plane cluster comprises the following steps of: determining unmanned planes satisfying a collaborative condition in a communication coverage area of a certain unmanned plane by the unmanned plane in the unmanned plane cluster, and establishing an unmanned plane collaboration group according to the unmanned planes satisfying the collaborative condition; determining inter-plane routes of multiple unmanned planes in the unmanned plane collaboration group; allocating collaborative tasks to multiple unmanned planes in the unmanned plane collaboration group according to link state information of the inter-plane routes; and evaluating the link state according to the motion state of multiple unmanned planes in the unmanned plane collaboration group, and updating unmanned planes in the unmanned plane collaboration group and the collaborative task of each unmanned plane according to an evaluation result. The collaborative interaction method for the unmanned plane cluster is good in real-time, strong in reliability and high in communication quality, and can better adapt to an unmanned plane cluster communication environment during visual navigation.
Owner:TSINGHUA UNIV
Intelligent comprehensive monitoring and security integrated management system for parking garage
ActiveCN101739841AComplete monitoringPracticalTicket-issuing apparatusIndication of parksing free spacesIntegrated monitoringEconomic benefits
The invention provides an intelligent comprehensive monitoring and security integrated management system for a parking garage. The system solves the comprehensive intelligent management problems of related automatic monitoring, automatic detection, display, different languages and voices, communication, dispatching, guide, digital quantity identification, security, forbidding and passing, charging, statistics, self diagnosis and maintenance and the like of various self-propelled and automatic three-dimensional mechanical parking garages. The system has significant meanings for improving the monitoring, security and management levels of various parking garages, promoting static traffic modernization construction and increasing the social and economic benefits of the parking garages.
Owner:上海久银车库工程有限公司
Digital twin intelligent monitoring system for unmanned fully mechanized coal mining face of mine
ActiveCN111208759AImprove real-time performanceImprove accuracyProgramme controlComputer controlVideo monitoringDecision control
The invention discloses a digital twin intelligent monitoring system and method for an unmanned fully mechanized coal mining face of a mine. The system for realizing the method is composed of a physical entity, a digital twin body, an intelligent gateway, a cloud server, a cloud database, a 5G base station, a machine vision device, a communication interface, a network switch and a video terminal.According to the method, a digital twin model is constructed, and perception analysis, analogue simulation, iterative optimization and decision control are carried out by using a convolutional networkdeep learning algorithm based on a three-dimensional visual virtual scene; real-time monitoring, intelligent sensing, accurate positioning and health prediction of the remote physical space mine unmanned fully mechanized coal mining face are achieved through the virtual space digital twin unmanned fully mechanized coal mining face based on data twinning and data driving. The problems of non-uniform communication interfaces, weak equipment integration capability, poor video monitoring image processing real-time performance and the like of the existing monitoring system are solved, and the real-time performance, the accuracy and the robustness of the intelligent monitoring system for the unmanned fully mechanized coal mining face of the mine are improved.
Owner:CHINA UNIV OF MINING & TECH (BEIJING)
Method for collecting characteristics in telecommunication flow information video detection
ActiveCN1984236AImprove real-time performanceCalculation speedTelevision system detailsImage analysisTraffic flowVideo image
In the invention, the detecting system comprises a video camera and a signal processor. It uses an improved Gaussian mixture distribution model to characterize each pixel in image frame; the characterized feature only uses a brightness feature; if there isn't a moving object (vehicle), the video image is relatively static; each pixel obeys a statistic model along with time variation; when getting a new image frame, the Gaussian mixture distribution model is renewed, if the pixel in current image match the Gaussian mixture distribution model, then determining the pixel is a background point; otherwise, determining the pixel is a foreground point.
Owner:ZHEJIANG UNIV OF TECH
Scene matching method for raising navigation precision and simulating combined navigation system
InactiveCN101046387AHigh positioning accuracyStrong autonomyInstruments for road network navigationPhotogrammetry/videogrammetryReference mapAviation
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.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Night preceding vehicle detection method based on millimeter-wave radar and machine vision
InactiveCN104637059AAccurately obtain depth informationImprove accuracyImage analysisCharacter and pattern recognitionHat matrixVehicle detection
The invention relates to a night preceding vehicle detection method based on a millimeter-wave radar and machine vision, which belongs to the field of vehicle control. The night preceding vehicle detection method comprises the following steps: (1) performing camera calibration, so as to obtain a projection matrix of world coordinates to image pixel coordinates, establishing a transition relation between a radar coordinate system and a world coordinate system, and converting radar coordinates into the image pixel coordinates; (2) resolving received millimeter-wave radar data, excluding false targets and determining effective targets through data processing, and synchronously collecting camera images; (3) projecting radar scanning points under the world coordinate system to an image pixel coordinate system, and establishing an region of interest (ROI) on the images according to projective points; (4) detecting whether a vehicle exists in the region of interest based on an image processing method. Compared with the prior art, the night preceding vehicle detection method has the characteristics of fusion of the millimeter-wave radar and the machine vision, high real-time performance and high accuracy.
Owner:JILIN UNIV
Evaluation system and method for automatic driving vehicle
ActiveCN107782564AImprove test efficiencyImprove accuracyVehicle testingSimulator controlData acquisitionOnline test
The invention discloses an evaluation system and method for an automatic driving vehicle. The evaluation system comprises a system server, a testing parameter generation module, a field driving testing data collection module and a testing result analysis module. The testing parameter generation module is configured to acquire testing demands and generate and output online testing parameters according to the testing demands; the field driving testing data collection module is configured to acquire driving data collection set parameters, acquire driving testing result data which is fed back by avehicle to be evaluated in the field driving testing process based on the driving data collection set parameters and upload the driving testing result data to the system server in real time; the testing result analysis module is configured to download the driving testing result data in real time from the system server, parse the driving testing result data and generate a real-time driving testingresult report. By adopting the evaluation system and method, field testing can be carried out on the driving capacity of the automatic driving vehicle, the testing report can be generated in real time in the testing process, and thus the accuracy and real-time performance of the testing report are improved.
Owner:JIANGSU XCMG CONSTR MASCH RES INST LTD
Unmanned aerial vehicle remote measuring and control system and method based on mobile communication network
InactiveCN104950906ASolve the problem of remote measurement and controlImprove real-time performancePosition/course control in three dimensionsNerve networkControl system
The invention discloses an unmanned aerial vehicle remote measuring and control system and method based on a mobile communication network, and solves the problems of unmanned aerial vehicle remote measuring and control. The system comprises unmanned aerial vehicle airborne equipment, ground control station equipment and the mobile communication network, wherein the unmanned aerial vehicle airborne equipment comprises an autonomous flight control module and an airborne processing module; the ground control station equipment comprises a mobile communication module, a time delay compensation module, a service quality design module, a man-machine interaction module and a database module; the unmanned aerial vehicle airborne equipment is in wireless connection with the ground control station equipment through the mobile communication network. The autonomous flight control module is connected with the airborne processing module through a bus. The unmanned aerial vehicle remote measuring and control system and method based on the mobile communication network has the advantages that a neural network is adopted for carrying out time delay predication on the mobile communication network, in addition, the result is introduced into the unmanned aerial vehicle position for compensation, the unmanned aerial vehicle remote measuring and control is realized, and the integral performance of the unmanned aerial vehicle remote measuring and control system based on the mobile communication network is improved.
Owner:NAT UNIV OF DEFENSE TECH
Information recommending method based on social network
InactiveCN103995823AIncrease coverageSolve the cold start problemData processing applicationsRelational databasesClose neighborSocial web
The invention discloses an information recommending method based on a social network. The information recommending method includes the following steps that first, trust degree and similarity between users are calculated, and a user relation matrix is constructed through weighted values; second, the users are clustered through a community discovering algorithm, and then a closest neighbor set of the users is formed; third, scores are predicted, and a recommending list is generated. The information recommending method based on the social network can achieve the following advantages that first, the cold start problem is solved: trust degree is introduced into the method, if enough neighbors cannot be obtained according to the common grading articles in the recommending process, trustable friends can serve as the start point of prediction, and thus the cold start problem can be relieved, and user coverage can be improved; real time performance is improved: community division is performed on the user network through the community discovering algorithm commonly used in social network analysis, in other words, same user interests are clustered, and thus the time for finding the neighbor set of the users is greatly shortened, and the real time performance of the information recommending response is improved.
Owner:NANJING UNIV OF POSTS & TELECOMM
A Driver Fatigue Detection System Based on EEG Signal
InactiveCN102274032AMonitor fatigue status in real timeImprove real-time performanceDiagnostic recording/measuringSensorsFeature extractionDriver/operator
The invention provides a driver fatigue detection system based on electroencephalogram signals, which can detect whether the driver is in a fatigue state in real time and quickly, and avoid fatigue driving as much as possible. The system includes three modules: EEG signal acquisition, EEG signal processing and stimulation and result feedback interface. The signal acquisition module collects the driver's EEG signal in real time, and transmits the EEG signal to the signal processing module. The signal processing module completes the signal processing of the EEG signal, including data preprocessing, feature extraction and pattern classification, judges whether the driver is in a fatigue state, and sends the recognition result to the stimulation and result feedback interface module. The stimulation and result feedback interface completes the connection between the system and the computer or smart phone terminal, and displays the recognition result feedback to the driver. Based on the superiority of EEG signals, the present invention has great advantages in the real-time detection of fatigue state, and can greatly reduce the delay of fatigue detection.
Owner:BEIJING NORMAL UNIVERSITY
All-round intelligent guiding system and method for large parking lot
InactiveCN102522002AIntelligently Determined BehaviorAvoid congestionIndication of parksing free spacesDriver/operatorControl engineering
The invention discloses an all-round intelligent guiding system and method for a large parking lot, and belongs to the field of intelligent traffic. The system disclosed by the invention comprises a guidance-initializing inlet unit, a guidance-stopping outlet unit, a guidance-path planning server, an anti-jamming coordinated controller, a guidance-indicting subsystem and a parking-space information-monitoring subsystem. Parking, vehicle taking-out and exit-guiding services are intelligently provided for a driver in the whole process from entering the parking lot to leaving the parking lot through the system by adopting a fork-passing triggering-type guidance-path updating and optimizing mechanism on the basis of a radio-frequency technology, a fork-passing triggering-type positioning mechanism and an anti-jamming path-planning mechanism, so that the parking lot is safer, more energy-saving and more highly-efficient in operation.
Owner:南京九竹科技实业有限公司 +1
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