36 results about "Road rage" patented technology

The invention discloses a driver road rage state vehicle-mounted recognition interaction system which takes physiological and control information into consideration. The system comprises a physiological information monitoring module, a lateral operation monitoring module, a longitudinal operation monitoring module, a road rage state recognition module and an early warning interaction module, the driver physiological information monitoring module obtains dynamic data of a driver physiological signal, the lateral operation monitoring module monitors a lateral operation index characteristic used for representing a driver range emotion, the longitudinal operation monitoring module monitors a longitudinal operation index used for representing the driver range emotion, regarding the road rage recognition module, an off-line training and on-line recognition module of the driver rage emotion is constructed through a support vector machine machine-learning method, and the on-line recognition module is embedded into a vehicle-mounted control unit to recognize the driver rage emotion on line. In the driver road rage state vehicle-mounted recognition interaction system which takes the physiological and control information into consideration, the emotion state of a driver is detected in real time in the driving process, an early warning response is made timely, the driver rage emotion is relived, and surrounding drivers are prompted.

The invention discloses a method for recognizing road rage states of drivers on the basis of electroencephalography and pulse information. The method includes steps of 1), acquiring pulse informationand electroencephalography signals of the drivers and preprocessing the pulse information and the electroencephalography signals; 2), extracting features of the pulse information and the electroencephalography signals of the drivers; 3), fusing electroencephalography features and pulse features of the drivers and reducing dimensions of the electroencephalography features and the pulse features; 4), training driver road rage state discrimination classifiers; 5), judging the road rage states of the drivers in real time, to be more specific, judging the road rage states of the drivers by the trained road rage state discrimination classifiers in real time and prompting the drivers when judgment results are 'yes'. The step 1) particularly includes (1), acquiring the pulse information of the drivers by wrist strap type terminals and preprocessing the pulse information; (2), acquiring the electroencephalography signals of the drivers by head-mounted terminals and preprocessing the electroencephalography signals. The step 2) particularly includes (1), extracting the features of the pulse information of the drivers; (2), extracting the features of the electroencephalography signals of the drivers. The method has the advantage that the problems of high power consumption and susceptibility to external conditions in the prior art can be solved by the aid of the method.

The invention discloses a road rage monitoring method, system and device based on facial and respiratory characteristics and a medium, and the method comprises the steps: collecting facial images andrespiratory information of a driver, carrying out the preprocessing of the facial images and the respiratory information, and extracting the characteristics which can reflect the road rage mood of thedriver; performing feature fusion on the extracted two types of features, and then establishing a driver road rage emotion recognition model based on a machine learning method; the model can judge whether the driver is in a road rage state or not, and can adjust the road rage mood of the driver according to the result. Due to the fact that the image and the respiratory information easy to collectare used, the emotional state of the driver can be detected under the condition that normal driving of the driver is not affected, and when the driver is in the road rage emotion, the driver can be reminded, warned and adjusted through the audio device.

The invention discloses a driver road rage identification method based on deep fusion of facial expressions and voice. The method comprises the following steps: extracting facial image information and voice information of a driver from facial video image information of the driver; preprocessing the facial image frame information and inputting the facial image frame information into a multilayer convolutional neural network to obtain facial expression features; firstly, extracting Mel-frequency cepstral coefficients and first-order and second-order coefficient values of voice information for initial feature extraction, and splicing initial features of two sections of voice segments and inputting the splicing initial features into a full connection layer network to obtain discriminative voice frame features corresponding to facial expression frames; performing low-rank bilinear pooling fusion on the obtained facial frame expression features and the voice frame features to obtain fusion features; and performing decision fusion on the facial expression features, the voice features and the fusion features to obtain a final road rage recognition result. In a complex driving environment, the driver anger identification result can still be output in a high-precision mode, and then safe driving early warning is effectively carried out.

The invention discloses a road rage vehicle risk assessment and prevention and control method. The invention belongs to the technical field of automobile active safety. The method comprises the stepsof data collection, feature recognition, risk assessment and prevention and control, the collected data comprises video data, audio data, driver intrinsic attributes and an external factor set, emotion types and intensities are output through feature recognition, the emotional state of a driver is evaluated through a dangerous driving risk assessment model, and then prevention and control measuresare taken. According to the invention, real-time monitoring and discrimination of the road rage emotion of the driver can be realized, the emotion change of the driver can be predicted, prevention and control measures are taken in advance, and adverse effects of road rage on traffic safety can be effectively reduced.

The invention discloses an anti-road rage identification and control system, which comprises a personnel state monitoring module, a satellite communication module, a driver road rage judgment module,a driving optimization module and a voice prompt module. The personnel state monitoring module comprises a driver identification sub-module, a sound collection sub-module, a pressure sensing sub-module and an expression identification sub-module, and is mainly used for collecting and analyzing driving state data of a driver in the driving process; the satellite communication module is used for collecting and analyzing real-time road condition information of the position of the vehicle; the driver road rage judgment module is used for judging whether a driver is in a road rage state or not, dividing road rage degrees and transmitting corresponding instructions to the driving optimization module and the voice prompt module; the driving optimization module comprises a basic control sub-moduleand a man-machine co-driving sub-module and is used for managing and controlling the vehicle according to the road rage degree and correcting the operation of a driver; and the voice prompt module persuades the driver according to the road rage degree and prompts the passenger to persuade the driver.

A system for determining distress of a driver of a vehicle is provided, comprising a plurality of sensors, including interior vehicle image sensors, an interior vehicle audio sensor, vehicle data sensors, and Global Positioning System (GPS) data sensors. The system also includes one or more processors configured to receive inputs from the plurality of sensors, and process the received inputs to obtain a driver heat change estimate, a driver expression estimate, a driver gesture estimate, an on-board diagnostics (OBD) estimate, and a GPS estimate. The one or more processors are further configured to store the estimates in a memory, use the stored estimates to generate deviation scores for each of the estimates, execute a machine learning algorithm to classify driver behavior as normal or impaired based on the deviation scores, and generate a warning based on the classification indicating impaired driver behavior.

The invention discloses a method for evaluating the direction control ability of a motor vehicle driver and a related device, so that the ability of the driver to adjust the driving direction and state of a motor vehicle driven by the driver in time can be evaluated, and road rage behaviors or traffic accidents are avoided. The method comprises the steps: collecting operation data of a steering wheel through a sensor; collecting vehicle driving track data through a vehicle-mounted GPS system; acquiring lane line data through a vehicle-mounted visual system; performing analyzing according to the vehicle driving track data and the lane line data to obtain lane line keeping capability data of the driver; and performing analyzing according to the operation data of the steering wheel, the vehicle driving track data and the lane line keeping capability data to obtain a comprehensive score of the direction control capability of the driver.

The invention discloses an online car-hailing driver scoring and category classification method, and a system according to the method comprises the components of: a data collection and processing module which collects a face image and body state parameters of an online car-hailing driver, collects the car condition information of an online car-hailing driver, and carries out the preprocessing of the collected data; a construction module which constructs an online car-hailing driver evaluation index system; an evaluation module which determines an online car-hailing driver scoring strategy andscoring the online car-hailing driver; a division module which divides the types of online car-hailing drivers; and the user selection module is used for containing all online car-hailing driver information in the area in a database, matching a certain number of online car-hailing drivers according to travel requirements input by the users in the terminal equipment, sending scores and categories of the online car-hailing drivers to the ordered users, and making final choices by the ordered users. According to the method, adverse effects of driving manipulation, road rage emotion and physical conditions of a driver on road traffic safety are reduced as much as possible, the selection right of passengers is guaranteed, and the method has important theoretical significance and application value.

The invention discloses a bus driver emotion monitoring and predicting system and method. The system comprises a GPS navigation system, a vehicle-mounted gyroscope, a forward radar sensor, a steeringlamp, an acceleration sensor, a steering wheel angle sensor, an accelerator pedal position sensor, a vehicle speed sensor, an OBD interface, a voice broadcast device, a vehicle-mounted 4G communication module and a driver identity determination device. The voice broadcast device comprises a data processor, an electric control module and a broadcaster. According to the system, the road rage emotionof a bus driver can be recognized, and the development trend of the emotion is further predicted; meanwhile, when the driver has the road rage emotion, the driver can be reminded of safe driving through voice broadcast; and when the driver is in the road rage emotion for a long time, the road rage emotion of the driver can be transmitted to a bus company, the method is favorable for stabilizing the mind of the driver and standardizing the operation behavior of the driver, and is favorable for improving the driving safety of the bus and the riding comfort of passengers.

The invention relates to the field of detection and particularly relates to a road rage detection method and equipment. The method comprises steps of obtaining driver emotion data, vehicle driving state data, driver manipulation data and the information of a road where a vehicle is located; determining score values respectively corresponding to the driver emotion data, the vehicle driving state data and the driver manipulation data; weighting the score values corresponding to the driver emotion data, the vehicle driving state data and the driver manipulation data to obtain a driver state index; if the driver state index is greater than a road rage threshold value and the duration of the driver state index greater than the road rage threshold value is greater than a first threshold value and less than a second threshold value, generating an early warning message; and if the duration that the driver state index is greater than the road rage threshold value is greater than or equal to a second threshold value, controlling the driving speed of the vehicle according to the information of the road where the vehicle is located. The road rage detection method and equipment provided by the embodiment of the invention have higher judgment accuracy.

The invention discloses a device for improving the motor vehicle driving safety based on driving behaviors. The device comprises a data collection unit for reading CAN information, a control unit for processing and judging data and a voice promoting unit. By reading CAN high-beam and low-beam switching signals and whistling signals, whether a driver has the road rage emotion or not is judged through analysis, and relief measures are adopted by voice prompts of the driver. The recognition precision is high, the collection technology is mature and reliable, the collected parameters are from the car body, the cost is saved, implementation is convenient, and the device is quite suitable for large-scale usage and popularization, and is of the positive significance in preventing accidents caused by situation worsening.

The invention discloses a driver road rage risk early warning method and system, and belongs to the technical field of intelligent driving assistance, and the method comprises the steps: obtaining the real-time driving state data of a to-be-detected driver, the state data comprising facial activity data, head posture data, limb movement data and heart rate data; fusing the state data in the minimum interval of the emotion change time length to obtain fused data; and taking the fusion data as the input of a pre-trained road rage level identification time sequence model to obtain the road rage risk level of the driver. The dangerous driving risk emotion of the driver can be continuously detected and early warned in the driving period, early warning can be carried out in advance before the driver is in the road rage state, and the driver is prompted to carry out self emotion adjustment.

The invention relates to the technical field of Internet of Vehicles. The invention provides a vehicle, vehicle machine equipment and a driving time optimization processing method thereof. The vehiclemachine equipment acquires a current travel route; and whether the travel route has a congestion road condition or not is judged, if the travel route has the congestion road condition, the total congestion time required by the congestion road condition is calculated, available effective time is calculated according to the total congestion time, and a corresponding target item is recommended to auser according to the effective time so as to optimize the driving time of the user. According to the method, the traffic road condition can be automatically recognized, congestion judgment is carriedout according to the driving route of the user, and related recreation items or work items and the like are recommended to the user in combination with the total consumed time of congestion, so thatthe driving mood of the user is changed, and uncomfortable emotions such as road rage are avoided.

The invention discloses a safe driving system capable of avoiding road rage emotion. The system comprises a core control system, an automobile data record transmitter for transmitting data with the core control system, a laser letter projector and a vehicle-mounted playing device. The core control system is installed on a user terminal. The automobile data recorder and the laser letter projector are respectively arranged above front and rear glass in the automobile. The system can relieve the road rage emotion in the using process, help a driver user to civilize driving, and promote the harm and knowledge of interactive road rage, and can give a warning prompt and give an alarm in a networking mode at the dangerous moment, accidents are reduced, and accident injuries are avoided.

The invention provides an automobile and a using method, which belong to the technical field of automobile parts. The automobile comprises a controller assembly, display assemblies and an automobile main body; a switch is configured to be used for controlling a wireless transmitting module to transmit a signal; the controller, the relay and the LED display screen are sequentially connected with anexternal power supply in series; the controller comprises a single-chip microcomputer and a wireless receiving module; the wireless receiving module is in signal connection with the wireless transmitting module; the wireless receiving module is in signal connection with the single-chip microcomputer; the single-chip microcomputer is in signal connection with the LED display screen. The five display assemblies are fixed to the inner side of the rear windshield, the inner side of the front triangular window and the inner side of the rear triangular window through the fixing pieces respectively.The controller assembly is fixed to the steering wheel through the fixing mechanism, effective communication between drivers can be enhanced, the road rage of the drivers is reduced, then the risk oftraffic accidents is reduced, and the safety of road driving is prompted.

The invention discloses a road rage warning method, device and system, a vehicle and a storage medium. The method comprises the steps: building a corresponding relation between the severity of road rage and a reminding strategy, and obtaining a road rage mapping table, wherein the reminding strategy comprises a vehicle lamp light-emitting strategy of the vehicle, a display strategy of the vehicle or a sound reminding strategy of the vehicle; obtaining the current road rage severity, wherein the current road rage severity is the severity of the road rage of the driver in the current scene; matching the current road rage severity degree to a road rage mapping table, and obtaining a current reminding strategy, wherein the current reminding strategy is a reminding strategy corresponding to the current road rage severity degree; and warning other people around the vehicle in the current scene according to the current reminding strategy. By means of the mode, other people can be warned to avoid in time when the driver has the road rage emotion, and therefore traffic accidents are prevented.

The invention discloses an interactive method for vehicle interconnection and intercommunication. , obtaining the direction information of the target vehicle; converting the content information into an optical signal; performing direction positioning of the vehicle optical transmission module according to the direction information of the target vehicle, and sending the optical signal according to the direction indicated by the direction information. It can enable intervals or vehicles in motion to communicate, avoiding "road rage" caused by misunderstanding.

The invention provides a driving behavior monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: determining an operation influence index of a driver based on the driving operation data of the driver in the vehicle driving process: determining a physical sign influence index of the driver based on the physical sign data of the driver in the vehicle driving process; determining a road condition influence index of the current driving road section based on the road condition data of the current driving road section of the vehicle; and performing summation processing on the operation influence index, the road condition influence index and the physical sign influence index to obtain a driving behavior evaluation index of the driver. Whether the driver is in the road rage state in the driving process is determined by determining the driving behavior evaluation index of the driver, and then the technical effect of reminding the driver of safe driving is achieved.

The invention discloses a Road Rage detection method and coping measures integrated handling system. The system comprises an information collection system, an information processing and analysis system and a signal execution system, the information collection system collects vehicle driving information through a vehicle-mounted sensor and a vehicle-mounted ECU (Electronic Control Unit), and collects facial expression information of a driver in driving through a camera by utilizing an AI facial expression recognition technology; the information processing and analyzing system analyzes and judges the collected emotion information of the driver, judges the road rage level of the driver, generates a road rage level signal and transmits the road rage level signal to the signal executing system;the signal execution system receives signals of the information processing and analysis system and executes the signals, corresponding measures such as voice reminding, temperature adjustment, soothing music playing and automatic cruise speed control are adopted to avoid or relieve road rage, and the Road rage detection method and coping measures integrated handling system are high in reliabilityand practicability and has a high commercial value.

The invention discloses a driver's road rage state recognition method based on EEG and pulse information. In order to overcome the problems of high power consumption and being easily affected by external conditions in the prior art, the steps of the recognition method are as follows: 1) collect the driver The pulse information and EEG signal of the driver are preprocessed: (1) the wristband terminal collects the pulse information of the driver and performs preprocessing; (2) the head-mounted terminal collects the driver’s EEG signal and performs preprocessing; 2) respectively Feature extraction of driver's pulse information and EEG signal: (1) feature extraction of driver's pulse information; (2) feature extraction of driver's EEG signal; 3) driver's EEG feature and pulse feature Fusion and dimensionality reduction; 4) Train the driver's road rage state discrimination classifier; 5) Real-time judgment on the driver's road rage state: the trained road rage state discrimination classifier is used to judge the driver's road rage state in real time. When the result is "yes", the driver is prompted.

The invention discloses a method for monitoring a driving road rage state. The method comprises the steps of acquiring a physiological signal data set of a driver, wherein the feature dimension of thephysiological signal data set is a first dimension; performing feature processing on the physiological signal data set to obtain a feature vector of the physiological signal data set; performing dimensionality reduction and feature extraction on the feature vector of the physiological signal to obtain a dimensionality reduction feature vector; constructing a driving road rage data set according to the dimensionality reduction feature vector; performing optimal feature acceleration selection on the driving road rage data set according to a recursive feature elimination method, and constructingand training a road rage recognition model; and monitoring the driver in real time according to the road rage recognition model. The method solves the problem of inaccurate road rage state recognition result in the prior art, and achieves the technical effects of reducing the response time required by driver road rage state recognition and achieving early warning and early intervention, thereby reducing safety accidents caused by road rage driving.

The invention relates to an intelligent driving assistance technology in vehicle driving, in particular to a driver emotion detection device and method with facial recognition and inertial measurement functions, which can judge whether a driver is in a road rage state or not by recognizing and judging the driver by adopting a face technology. Comprising a near-infrared camera, a far-infrared camera, a visible light camera and a near-infrared light supplement lamp. The system also comprises an inertial measurement unit, a positioning module, a GPU module, a 4G module and an MCU module. The near-infrared camera, the far-infrared camera and the visible light camera are all connected with the GPU module; the inertial measurement unit, the positioning module, the GPU module, the 4G module and the near-infrared light supplement lamp are all connected with the MCU module.

The invention provides a pulse width modulation (PWM) control device for an automotive electric whistle. The PWM control device for the automotive electric whistle comprises a single-chip microcomputer microcontroller unit (MCU), a switching power amplifier, a horn SP, an electric whistle relay driving circuit, a vehicle speed sensor, a pyroelectric sensor, an electric whistle button SB, a selective switch S1, a state indicating circuit and another selective switch S1. The PWM control device for the automotive electric whistle is scientific and reasonable in design and safe and reliable in work; on the premise that using safety is guaranteed, energy consumption is reduced, and secondary disasters caused by noise are reduced; the probability of the existing common road rage phenomenon can also be lowered, and the effect of constructing a harmonious society is achieved to a certain extent; and by the adoption of the control device, the sound volume and tone of the automotive electric whistle can be adjusted and controlled automatically according to the automobile speed and the traveling environment, so that the using function of an automobile is enhanced, and the good health and the harmonious environment are guaranteed.

The invention discloses a road rage emotion judgment method and device based on voice recognition. The method comprises the following steps: acquiring audio of a driver in real time; the vehicle-mounted edge end carries out road rage emotion judgment results based on voice recognition on the audio and stores recognition model parameters; comparing face road rage emotion judgment results acquired based on videos; when the two results are different, the audio, the calculation result and the current model parameters are uploaded to the cloud platform, the cloud platform trains an algorithm model based on the uploaded data and sends updated algorithm model parameters to the vehicle-mounted end, and the edge end completes updating of the road rage emotion judgment algorithm parameters based on voice recognition. According to the method, the calculation pressure of the edge end is reduced through the parameters and the cloud-edge cooperation mode in the cloud-edge cooperation updating algorithm model, and the accuracy of speech recognition road rage is improved along with the increase of the driving duration of the driver.

The invention discloses a brain wave safe driving guarantee intelligent helmet, and belongs to the technical field of artificial intelligence; the brain wave safe driving guarantee intelligent helmetcomprises a helmet outer cover, an intelligent ear clip, an intelligent helmet inner support, a battery, a main board PCBA, an intelligent integrated circuit flexible printed circuit board FPC, uppermicrowave sealing foam, lower microwave sealing foam, a dry pole POGOPIN, a sealing RUBBER, a detachable cover and safety protection space cotton. The main board PCBA is provided with an artificial intelligence brain wave processing chip. The artificial intelligence brain wave processing chip comprises a CPU, a FLASH, an audio frequency, a radio frequency, a power supply data transmission module and a storage module. The artificial intelligence brain wave processing chip plays roles in collecting brain waves, filtering the brain waves, amplifying the brain waves, converting brain wave signals,automatically sending instructions, converting images and texts and achieving man-machine interaction. The brain wave safe driving guarantee intelligent helmet can remind and improve road rage and fatigue driving, and has a wide application prospect.

The invention discloses a front and rear vehicle interactive and LED all-color screen automobile tail lamp system, and belongs to the technical field of automobile tail lamps. A voice recognition system, a switch trigger system and a remote control system are electrically connected to an all-color display screen control system separately; and the all-color display screen control system is in control connection to a LED all-color tail lamp dot matrix display screen. The front and rear vehicle interactive and LED all-color screen automobile tail lamp system disclosed by the invention can realizenormal travelling state display, can promote a vehicle state or information to be expressed by a driver to other vehicles through a static or dynamic image, a video or texts, also can express real-time voices of the driver in texts to achieve safer, more friendly and more polite driving, can relieve traffic jam, avoids road rage and the like, further can easily realize various changes of the taillamp, and achieves the individual and beautifying effects.