Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
987 results about "State recognition" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Recognition of state. Recognition of state under the International Legal System can be defined as “the formal acknowledgement or acceptance of a new state as an international personality by the existing States of the International community”.It the acknowledgement by the existing state that a political entity has the characteristics of statehood.
Using video image analysis to automatically transmit gestures over a network in a chat or instant messaging session
InactiveUS7039676B1Minimizing chanceTelevision system detailsCharacter and pattern recognitionChat roomImage processing software
The system, method, and program of the invention captures actual physical gestures made by a participant during a chat room or instant messaging session or other real time communication session between participants over a network and automatically transmits a representation of the gestures to the other participants. Image processing software analyzes successive video images, received as input from a video camera, for an actual physical gesture made by a participant. When a physical gesture is analyzed as being made, the state of the gesture is also determined. The state of the gesture identifies whether it is a first occurrence of the gesture or a subsequent occurrence. An action, and a parameter for the action, is determined for the gesture and the particular state of the gesture. A command to the API of the communication software, such as chat room software, is automatically generated which transmits a representation of the gesture to the participants through the communication software.
Owner:MICROSOFT TECH LICENSING LLC
Wearable life support apparatus and method
InactiveUS6985078B2Precise supportElectric signal transmission systemsSurgeryLife supportComputer science
A wearable life support apparatus worn by a user is disclosed. A physiological information acquirement unit acquires the user's physiological information. An action information acquirement unit acquires the user's action information. A status recognition unit recognizes the user's status in accordance with the action information. A physiological information decision unit decides whether the physiological information is normal in accordance with the user's status. A presentation unit presents the decision result of the physiological information decision unit to the user.
Owner:KK TOSHIBA
Safe state recognition system for people on basis of machine vision
InactiveCN102096803AEnsure safetyHigh technology contentImage analysisAnti-collision systemsDriver/operatorSecure state
The invention discloses a safe state recognition system for people on the basis of machine vision, aiming to solve the problem that the corresponding intelligent control decision for the vehicle driving behaviour can not be formulated according to the safe state of the people in the prior art. The method comprises the following steps: collecting a vehicle-mounted dynamic video image; detecting and recognizing a pedestrian in an interested area in front of a vehicle; tracking a moving pedestrian; detecting and calculating the distance of pedestrian in front of the vehicle; and obtaining vehicle real-time speed; and recognizing the safe state of the pedestrian. The process of recognizing the safe state of the pedestrian comprises the following steps: building a critical conflict area; judging the safe state when the pedestrian is out of the conflict area in the relative moving process; and judging the safe state when the pedestrian is in the conflict area in the relative moving process. Whether the pedestrian enters a dangerous area can be predicted by the relative speed and the relative position of a motor vehicle and the pedestrian, which are obtained by a vision sensor in the above steps. The safe state recognition system can assist drivers in adopting measures to avoid colliding pedestrians.
Owner:JILIN UNIV
Traffic flow running rate recognizing method based on bus GPS data
InactiveCN101710449AOvercome the problem of unsatisfactory application effectLow costDetection of traffic movementAverage speed measurementTraffic flowState recognition
The invention discloses a traffic flow running rate recognizing method based on bus GPS data and relates to a traffic information collecting and processing technology in the field of intelligent traffics. The method comprises the following solving steps of: carrying out grade division on an urban road section by a GIS; confirming a speed threshold value K1 and a speed threshold value K2 of all grades of roads; carrying out sub-road section division on the urban roads by the GIS; obtaining an average value of the speed that all buses pass through a sub-road section in a certain time interval, which is collected by a bus vehicle-mounted GPS system; comparing the average value of the speed with the threshold value K1 and the threshold value K2 of the sub-road section and confirming the traffic flow running rate of the sub-road section. The traffic flow running rate recognizing method based on bus GPS data can obviously improve the recognizing precision of the traffic flow running rate, reduce the time delay and provide the type of traffic jam simultaneously, thereby providing a basis for selecting more convenient traveling line for a traveler and proving more powerful decision support for establishing a jam facilitating scheme for a traffic management department.
Owner:JILIN UNIV
Device for monitoring fatigue driving state and its method
InactiveCN1830389AReduce shadowsImprove imaging effectImage analysisDiagnostic recording/measuringEye stateTemplate matching
An apparatus for monitoring the fatigue state of the motor-driven vehicle's driver is composed of image acquisition and conversion system, image processing system, fatigue state recognizing system, prompting and alarm system and brake system. Its method includes such steps as acquiring the face images of driver by infrared light and camera, processing the images to obtain eye images, recognizing eye state, calculating the winking duration, frequency and PERCLOS value, and judging the fatigue degree of driver.
Owner:TAIYUAN UNIV OF TECH
Method of allocating wireless resource for space division multiple access communication and wireless resource allocation system of enabling the method
ActiveUS20090010215A1Increase data rateRaise the ratioFrequency-division multiplex detailsNetwork topologiesChannel state informationTelecommunications
A system for allocating a wireless resource for a Space Division Multiple Access (SDMA) communication is provided. The system for allocating the wireless resource for the SDMA communication includes: a channel state recognition unit to recognize a channel state of wireless channels generated among adjacent nodes including a source node, a relay node, and a destination node; and a wireless resource allocation unit to control at least one of an amount of channel state information fed back from the destination node to the source node, and a relay level of a relay signal, the relay signal being generated by relaying a source signal transmitted from the source node, according to the channel state.
Owner:SAMSUNG ELECTRONICS CO LTD
Human eye positioning and human eye state recognition method
The invention discloses an eye positioning and eye state recognizing method, wherein first setting an self-adaptive threshold value to pretreat a face image, according to the face geometry character, designing an eye classifier, positioning eye initially, for some edge images, based on the symmetry face and eye, accurately positioning eye, thereby providing a method for positioning face symmetry axis based on lip auxiliary positioning, then dividing one eye from a positioned eye binary picture, according to the black pixel character of pupil, judging the eye state. The inventive method has real-time property, with the application for different backgrounds, lights, rotation and bias angles, and face details or the like to position eye and recognize eye state.
Owner:SOUTH CHINA UNIV OF TECH
Vehicle expression operation control system, vehicle communication system, and vehicle which performs expression operation
InactiveUS6757593B2Digital data processing detailsElectric controllersCommunications systemControl system
A vehicle expression operation control system and vehicle communication system for performing an expression operation to generate an easily understood expression and a vehicle for performing an expression operation. Condition and other information about a vehicle is detected by an operation information collecting section (12) and detected data collection section (14), and supplied to a reaction formulating section (26). Based on current status information of the vehicle held in a state recognizing section (24), the reaction formulating section (26) formulates a reaction and controls performance of an expression operation corresponding to the formulated reaction. Further, based on the reaction formulated, an operation control section (28) controls operation of respective devices equipped to the vehicle, including lights, antennae, and the like, so that the vehicle performs such expression operation.
Owner:TOYOTA JIDOSHA KK
Management supporting apparatus, management supporting system, management supporting method, management supporting program, and a recording medium with the program recorded therein
ActiveUS20040148136A1Efficient replacementEasy to manageProgramme controlComputer controlSupporting systemManagement support systems
Operation state information for each cycle of manufacturing operations of each of injection molding machines 300 is acquired by a center management terminal device 400 via a network from a plurality of controlling terminal device 400 for controlling the injection molding machines 300. Cumulative utilization of replacement parts of each injection molding machine 300 put into practical operation is recognized by the operating condition recognizing section of the center management terminal device 400 based on the parts state information for the replacement parts of each injection molding machine 300 included in the operating state information. Based on the cumulative utilization, availability of the parts is recognized with reference to lifetime information concerning lifetime of the parts previously stored in the center storage section, and situation of the availability is displayed with a different display format on the center terminal displaying section 503.
Owner:TOSHIBA MASCH CO LTD
Management supporting apparatus, management supporting system, management supporting method, management supporting program, and a recording medium with the program recorded therein
ActiveUS7117050B2Easy to manageProgramme controlComputer controlSupporting systemManagement support systems
Operation state information for each cycle of manufacturing operations of each of injection molding machines 300 is acquired by a center management terminal device 400 via a network from a plurality of controlling terminal device 400 for controlling the injection molding machines 300. Cumulative utilization of replacement parts of each injection molding machine 300 put into practical operation is recognized by the operating condition recognizing section of the center management terminal device 400 based on the parts state information for the replacement parts of each injection molding machine 300 included in the operating state information. Based on the cumulative utilization, availability of the parts is recognized with reference to lifetime information concerning lifetime of the parts previously stored in the center storage section, and situation of the availability is displayed with a different display format on the center terminal displaying section 503.
Owner:TOSHIBA MASCH CO LTD
Proximity detector having a sequential flow state machine
ActiveUS7253614B2Using electrical meansConverting sensor outputState recognitionCondensed matter physics
A proximity detector has a sequential flow state machine to identify states associated with a magnetic field signal provided by a magnetic field sensing element. The proximity detector can include a vibration processor to identify a vibration in response to the states.
Owner:ALLEGRO MICROSYSTEMS INC
A rolling bearing fault identification method under variable working conditions based on ATT-CNN
ActiveCN109902399ASolve the fault identification problemIncreased sensitivityMachine bearings testingNeural architecturesAlgorithmBearing vibration
The invention discloses a rolling bearing fault identification method under variable working conditions based on ATT-CNN, and relates to a rolling bearing fault identification technology. The problemthat the generalization ability of an existing rolling bearing fault recognition method under variable working conditions is limited to a certain extent for a complex classification problem is solved.The method comprises the following steps: firstly, mapping vibration data to a nonlinear space domain through a convolutional neural network (CNN), and adaptively extracting rolling bearing fault characteristics under variable working conditions by utilizing the characteristic that the CNN has invariance on micro displacement, scaling and other distortion forms of an input signal; Secondly, an attention mechanism (ATT) thought is put forward to be fused into a CNN structure, and the sensitivity of bearing vibration characteristics under variable working conditions is further improved; And meanwhile, more abundant and diverse training samples are obtained through a data enhancement method, so that the network can be learned more fully, and the robustness is improved. The proposed fault diagnosis model based on the attention mechanism CNN (ATT-CNN) can realize multi-state recognition and classification of the rolling bearing under variable working conditions, and compared with other methods, higher accuracy can be obtained.
Owner:HARBIN UNIV OF SCI & TECH
Traffic-condition notifying device, its system, its method, its program and recording medium storing the program
InactiveUS20050096839A1Analogue computers for vehiclesInstruments for road network navigationSystems approachesTraffic conditions
A navigation device (100) includes: a congestion-status recognizer for acquiring map information, traffic information about a traffic condition for a mobile body, and accuracy-level information about reliability of a traffic condition of the traffic information relative to an actual traffic condition; and a display controller for making a terminal display (140) display the map information with the accuracy-level information acquired by the congestion-status recognizer superimposed thereon. Therefore, since the navigation device (100) notifies not only the traffic conditions but also the accuracy-level information containing the reliability of the traffic condition, users can be informed of appropriate traffic conditions.
Owner:PIONEER CORP +1
State recognition and prediction method for spindle characteristic test bench based on deep learning
ActiveCN108344564AStrong characteristicImprove generalization abilityMachine bearings testingCharacter and pattern recognitionDecompositionRotation test
The invention relates to a state recognition and prediction method for a spindle characteristic test bench based on deep learning, which comprises the steps of collecting vibration signals in the operating process of the spindle characteristic test bench, performing normalization processing on the vibration signals, performing noise reduction processing on the normalized vibration signals by adopting EEMD (Ensemble Empirical Mode Decomposition) to obtain IMF components, and reconstructing the obtained IMF components to form restored signals; enabling the restored signals to serve as input samples of a CNN, performing feature extraction on the restored signals to obtain feature vectors, carrying out CNN feature learning on the feature vectors to obtain training feature samples; coding timeinformation for the training feature samples through a multi-layer LSTM (Long Short Term Memory), carrying out classification through Softmax logistic regression to obtain prediction feature samples,and realizing prediction for the operating state; and performing Softmax logistic regression through the training feature samples and the prediction feature samples, carrying out classification on a logistic regression layer so as to judge the fault type of a rotor rotation test bench system, and realizing state recognition. The state recognition and prediction method has fast response performanceand tracking performance.
Owner:BEIJING INFORMATION SCI & TECH UNIV
Brain electric features based emotional state recognition method
The invention discloses a brain electric features based emotional state recognition method. The method comprises the following steps of: data acquisition stage: under the condition of international emotional picture induction, extracting 64 brain electric data which is tested under the induction of different-happiness-level pictures; data pretreatment stage: carrying out four stages of reference electric potential variation, down sampling, band-pass filtering, electro-oculogram removal on the collected 64 brain electric data; feature extraction stage: extracting time domain features after signals after pretreatment are filtered by a common space model algorithm; and feature recognition: recognizing the features by using a support vector machine classifier, and differentiating different emotional states. According to the method, an OVR (one versus rest) common space model algorithm is used for removing the interference of background signals, and is used for the signal intensification of multiple types of emotion induced brain electricity; after the background signals are removed, the differences among different types of emotional brain electricity are intensified, the recognition accurate ratio of subjects is relatively ideal when the recognition is carried out by the time domain variance features, and the emotions of different happiness can be differentiated accurately.
Owner:TIANJIN UNIV
Current Position Determining Device and Current Position Determining Method
ActiveUS20100299063A1Improve accuracyInstruments for road network navigationRoad vehicles traffic controlEngineeringState recognition
Provided is a technology capable of improving the accuracy of determining a position of an own vehicle in the vicinity of a branch point, in a current position determining device. The current position determining device identifies a detection range according to states of a road on which a vehicle is traveling to detect a lane change, to thereby determine a current position of the vehicle based on information on the detected lane change.
Owner:CLARION CO LTD
Driver fatigue state recognition method and system based on information fusion
InactiveCN101872171AImprove reliabilityImprove accuracyDetection of traffic movementProgramme control in sequence/logic controllersEye stateDriver/operator
The invention discloses driver fatigue state recognition method and system based on information fusion, wherein the method comprises the steps of: acquiring eye state information of a driver, operating state information of a steering wheel and track driving state information of a vehicle; processing the eye state information of the driver, the operating state information of the steering wheel and the track driving state information of the vehicle to obtain fatigue expression information of the driver; and carrying out weighting fusion processing on the fatigue expression information to obtain a fatigue membership degree corresponding to a drive fatigue grade, and obtaining the fatigue degree of the driver according to the fatigue membership degree. The invention improves the reliability and the accuracy of monitoring the driver fatigue state, can reduce the quantity of traffic accidents caused by the fatigue driving of the driver, ensures the road traffic safety, and has strong practicability because the acquisition of multi-source information does not cause the interference on the driving of the driver.
Owner:CHINA AGRI UNIV
In-car detained passenger state identification and dangerous state control system
The invention discloses an in-car detained passenger state identification and dangerous state control system. The in-car detained passenger state identification and dangerous state control system mainly comprises a monitoring unit for acquiring the internal state information of a car when the car is stopped. The monitoring unit comprises a passive pressure sensor module for monitoring pressure parameters of seats, and the module is used for judging the existence of detained personnel according to the pressure on the seats. As a feasible embodiment, the passive pressure sensor module can adopt a seat pressure parameter sensor in the prior art for detecting whether a passenger fastens a safety belt or not.
Owner:DALIAN UNIV OF TECH
Expressway charge data track matching based traffic state recognition method
The invention relates to an expressway charge data track matching based traffic state recognition method, belonging to the field of intelligent transportation. Real road network charge data provided by an expressway management system is fully utilized to fully excavate the connotation of the charge data, then the charge data is processed, matched, analyzed and calculated to obtain the inter-site travel time and traffic flow of the whole road network, then a fuzzy clustering method is utilized to recognize the traffic state between any sites on the road network, and the method comprises the following four concrete steps: handling data exception; calculating the average travel time; calculating link traffic flow; and recognizing the traffic state based on fuzzy clustering. By utilizing the method, accurate traffic condition information can be provided for a manager, thus the manager can timely and accurately know the traffic state, and a reliable data basis is provided for developing anexpressway information service.
Owner:RES INST OF HIGHWAY MINIST OF TRANSPORT
Human motion state recognition method and device
ActiveCN105496416AImprove accuracyInertial sensorsMeasuring/recording heart/pulse rateHuman bodyHuman motion
Owner:GOERTEK INC
Improved full-convolutional neural network-based power transmission line insulator state recognition method
InactiveCN107680090AEfficient identificationBurst is effectiveImage enhancementImage analysisManual extractionAlgorithm
The present invention discloses an improved full-convolutional neural network-based power transmission line insulator state recognition method. The method includes the following steps that: S1, the picture of a power transmission line insulator is collected through an unmanned aerial vehicle; S2, classification regression and position regression are performed on the image through a target detection network Faster R-CNN so as to intercept a separate insulator picture; S3, semantic segmentation is performed on the insulator picture through using a full-convolutional neural network; S4, fine segmentation is performed through a full-connection condition random field; S5, noise points in the image are filtered by using a morphological operation method; and S6, the insulator is classified through a deep learning classification network, and the status of the insulator is determined. According to the method of the invention, training and parameter adjustment and optimization are performed on labeled insulator pictures; the status of the power transmission line insulator can be effectively identified; the subjective influence of manual setting of thresholds and the randomness of manual extraction of features in traditional insulator status recognition can be avoided; the efficiency of line inspection can be significantly improved; and the difficulty of the line inspection can be decreased.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA
Driver emotion recognition method and device
InactiveCN106650633AEmotional state conforms toImprove accuracySpeech analysisCharacter and pattern recognitionPattern recognitionDriver/operator
The invention discloses a driver emotion recognition method and device. The method comprises the following steps of: acquiring at least two data in image data of a driver, voice data of the driver, and travelling data of a driving vehicle; recognizing the emotion of the driver according to multiple acquired data respectively, so that an emotion recognition result in each data type is obtained; and, on the basis of the obtained emotion recognition result in each data type, judging the emotion of the driver according to a set emotion judgement policy. By means of the driver emotion recognition method and device disclosed by the invention, emotion recognition can be carried out respectively according to at least two data in the image data, the voice data and the vehicle travelling data; furthermore, the emotion state of the driver is comprehensively judged according to obtained multiple emotion recognition results; the emotion state recognition manner cannot be influenced by single road conditions, vehicle conditions, facial features, voice features and the like; the recognized motion of the driver accords with the practical driver emotion state well; and thus, the emotion recognition accuracy and the environmental suitability are improved.
Owner:SHANGHAI XIAOI ROBOT TECH CO LTD
Movement compensation method of real time electronic steady image based on motion state recognition
InactiveCN101511024AGuaranteed fixed effectAvoid driftingImage analysisTelevision systemsThree stageMotion parameter
The invention relates to a motion compensation method based on motion state identification in real-time electronic image stabilization, which comprises the steps that: (1) the likelihood function of a motion type is trained; (2) a motion compensation model is built; (3) the offset of a current frame image with correspondence to the center point of a window is calculated; (4) a component motion is filtered, and an ideal motion parameter and a linear fitting parameter are calculated; (5) the motion state of the current frame image is identified, and a motion compensation parameter is set up; (6) according to the motion compensation quantity of three stages, the output position of the current frame image is determined. The method divides motion compensation into the three parts of jitter compensation, smooth motion compensation and deviation compensation; camera motion is divided into staring shoot and scanning shoot; by identifying the current motion state of a scene, the proportion of the three motion compensation parameters are adaptively adjusted, therefore the 'too smooth' and the 'lack of smooth' problems during the motion compensation solving process is solved. The motion compensation method has the advantages that, the image stabilization problems in various complicated motion states and during free shooting mode conversion are effectively solved, and the objective to real-timely output stable video is achieved.
Owner:BEIHANG UNIV
Method for identifying traffic status of express way based on information fusion
InactiveCN101706996ASolve the problem of low accuracy of traffic status recognitionReliable decision supportDetection of traffic movementSupport vector machineBinary tree
The invention discloses a method for identifying the traffic status of an express way based on information fusion, belonging to the technical field of traffic information fusion. The method comprises the steps: selecting traffic parameters, and establishing an evaluation index system of status identification; according to decision tree algorithm, establishing a binary tree structure of the traffic status identification; determining the fusion layer K of the binary tree structure, wherein K is more than or equal to 2 and i is equal to 1; according to sample format requirements of an ith layer, preprocessing data of the ith layer, and determining an input sample of the ith layer; utilizing a machine learning method of a support vector machine to train the input sample of the ith layer, thus obtaining the support vector machine; carrying out data fusion on the support vector machine to obtain a fusion result, and judging the support vector machine in next level fusion according to the fusion result; and if i is equal to i plus 1, judging whether that i is more than or equal to K is set, if so, returning the step 4, and executing the data fusion at next layer, and if not, ending the process. The method inherits the advantages of the information fusion method of the traditional support vector machine, and solves the problem of low accuracy of traffic status identification of the express way.
Owner:BEIJING JIAOTONG UNIV
Network security situation awareness model and method based on attack graph
ActiveCN110380896AMining relevanceEliminate redundancyData switching networksData setPredictive function
The invention discloses a network security situation awareness model and method based on an attack graph. The model comprises a data preprocessing module, an attack feature library construction module, an attack state identification module, a security situation evaluation module and a security situation prediction module. The method comprises: firstly, collecting data sets of different sources, and obtaining asset vulnerability threat data and asset attack threat data after preprocessing; further analyzing and training by utilizing the asset attack threat data and the principal component dataof the attack information, and establishing an attack feature library; matching the attack portrait, and determining the attack state of the current equipment; then, calculating a security situation value of the whole network by utilizing the asset attack threat data; and finally, predicting the next attack state through the attack and defense game matrix of the attack state diagram so as to predict the network security situation. A good situation awareness effect and a network security situation evaluation and prediction function are realized, and the model and the method have relatively goodpracticability, high efficiency and expansibility.
Owner:湖北央中巨石信息技术有限公司
Subway driver vehicular driving behavior analysis method, vehicular terminal and system
ActiveCN108216252AReal-time monitoring and intelligent assessment of driving behaviorReal-time monitoring and intelligent evaluation of driving statusRegistering/indicating working of vehiclesCharacter and pattern recognitionMultiple frameState recognition
The invention provides a subway driver vehicular driving behavior analysis method, a vehicular terminal and a system. The method includes the steps: building a vehicular driving behavior database of asubway driver; acquiring a driver driving action recognition model and a driver face state recognition model through training by a deep learning method based on the vehicular driving behavior database; acquiring a real-time working video of the subway driver and extracting continuous multi-frame images according to a preset frame rate; acquiring the driving action track of the driver in the continuous multi-frame images, recognizing the driving action track by the driver driving action recognition model, and recognizing driver face states in the continuous multi-frame images by the driver face state recognition model. Driving behaviors and driving states of the driver can be monitored in real time and evaluated intelligently, possible manual operation errors can be early discovered, and driving safety is ensured.
Owner:CRRC IND INST CO LTD
Traffic safety sensing network based on mobile information
InactiveCN101908272AImprove driving safetyConvenient and fast image playbackRegistering/indicating working of vehiclesRoad vehicles traffic controlDriver/operatorVehicle driving
The invention discloses a traffic safety sensing network based on mobile information for road intelligent traffic management. The traffic safety sensing network takes a vehicle as a mobile intelligent sensing node and forms into a sensing network with a mobile communication network and a traffic monitoring center. A vehicle-mounted positioning system and a vehicle-mounted sensor immediately acquire the position and the speed of the vehicle as well as the image information in and out of the vehicle, thereby providing real-time road traffic condition information to a traffic monitoring center; and a monitoring vehicle and the traffic monitoring center can perform various information interaction through a mobile communication network. With a vision sensor and a vehicle driving status identifying system, the traffic safety sensing network has the functions for acquiring and processing the image, can realize the functions for monitoring the illegal driving and reappearing the traffic scene, assisting the safe driving of the vehicle, provides a new traffic and vehicle supervising route for the traffic management department, can improve the traffic capability of the road, can improve the driving safety of drivers, and effectively avoids and reduces the personal injury and the economic loss caused by traffic accident.
Owner:NANJING UNIV OF SCI & TECH
Driver emotion recognition-based automatic driving mode switching system
InactiveCN107662611ADriving does not affectWithout compromising comfortVehicle position/course/altitude controlPosition/direction controlAutomatic controlSteering wheel
The invention discloses a driver emotion recognition-based automatic driving mode switching system, which comprises a driver physiological information monitoring module, a road rage status recognitionmodule, a driving mode switching module and an automatic driving module, wherein the driver physiological information monitoring module comprises heart rate and blood oxygen sensors arranged at the two end parts of the horizontal axis of a steering wheel, and the road rage status recognition module constructs an off-line training and online recognition model of driver rage emotion to perform online recognition of the driver rage emotion; when the road rage status recognition module judges that a driver is angry, the driving mode switching module switches a vehicle driving mode into an automatic driving mode to disable the operation of the driver on a vehicle; when confirming that the driver is ready for taking over, the driving mode switching module switches the vehicle driving mode fromthe automatic driving mode into a manual driving mode; the automatic driving mode module comprises an ACC (Adaptive Cruise Control) system for realizing longitudinal automatic control of a vehicle andan LKA (Lane Keeping Assistance) system for realizing lateral automatic control of the vehicle.
Owner:JILIN UNIV
Article transporting robot
Owner:PANASONIC CORP
Article transporting robot
ActiveUS20070124024A1Programme-controlled manipulatorComputer controlState recognitionTransport engineering
An article transporting robot or an article transporting system includes a state recognizing means for recognizing the state of the article, a transportation method specifying means for specifying the transportation method according to the state recognized by the state recognizing means, and a transporting device for transporting the article according to the transportation method specified by the transportation method specifying means.
Owner:PANASONIC CORP
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com