13 results about "Road rage" patented technology

To effectively increase determination accuracy for road rage, provided is a determination device including: a close state determination unit (12) configured to determine whether a first vehicle (V1) and a second vehicle (V2) are in a predetermined close state; a third vehicle determination unit (11) configured to determine whether a third vehicle (V3) traveling in front of the second vehicle (V2) exists; and a road rage determination unit (16) configured to avoid determining that the road rage is being executed when at least one condition of a first condition that the close state determination unit (12) determines that the close state exists and a second condition that the third vehicle determination unit (11) determines that the third vehicle does not exist is not satisfied, and to determine that the road rage is being executed when the first condition and the second condition are satisfied.

The application belongs to the field of driving safety evaluation, and discloses a personalized road rage driving state identification method, system, device and medium, the method comprising: collecting driving behavior time series data and physiological index time series data of drivers, performing grade calibration by means of RuLSIF algorithm, constructing a multi-dimensional driving fingerprint and physiological fingerprint file containing the driving habit and physiological reaction mode of each driver, and then collecting the files of different numbered drivers to form a file library; receiving driving behavior time series data and physiological index time series data to be identified, determining the corresponding driver number by using a first identification model (LGBM); inputting the driving behavior time series data and physiological index time series data to be identified into a second identification model (GBRT-LGBM), and outputting the road rage driving state grade of the numbered driver. The method fully considers the differences between different individual drivers, and can accurately and reliably identify the road rage driving state.

This information processing method causes at least one controller (25, 27) to execute: a process (S1) of determining whether or not a first vehicle (3) is targeted by road rage of a second vehicle (100) or whether there is a risk for the first vehicle due to dangerous driving of the second vehicle; a process (S4) of acquiring information on a road attribute of a road on which the first vehicle is currently traveling; and a process (S7) of, when it is determined that the first vehicle is targeted by road rage of the second vehicle or when it is determined that there is a risk for the first vehicle due to dangerous driving of the second vehicle, selecting a road with a road attribute capable of suppressing road rage or dangerous driving of the second vehicle, as a target course to be traveled by the first vehicle, in accordance with the road attribute of the road on which the first vehicle is currently traveling.

The invention discloses an EEG driving road rage emotion detection method, device and equipment, a medium and a program product, and belongs to the technical field of emotion recognition. Multi-channel electroencephalogram signals of a driver in a normal emotion and a road rage emotion are collected, emotion tags are added to the signals to construct samples, each channel in the electroencephalogram signal samples is used as a graph structure node, the phase correlation degree between the channels in the electroencephalogram signal samples is used as an edge weight, a graph structure is constructed, and the electroencephalogram signals are obtained. And training a to-be-trained EEG driving road rage emotion detection model by using the graph structure to obtain a trained EEG driving road rage emotion detection model used for detecting whether a driver has a road rage emotion during driving on a road surface. The synchronization degree between different channels is quantified through the phase correlation degree, the sensitivity to road rage recessive features is improved, the generalization ability of an EEG driving road rage emotion detection model is enhanced, and the accuracy of road rage emotion detection is ensured.

The application discloses a driver road rage emotion detection method based on machine learning, aiming to realize accurate detection of driver road rage emotion by collecting the face image, sound and force state of the driver through various sensors, and improve driving safety. The method comprises a sampling module, a face recognition module, a feature point positioning module, a road rage emotion detection module and a warning module, wherein an AdaBoost algorithm, a Haar-Cascade algorithm, a constrained local neural field model and a support vector machine model are adopted, and a particle swarm optimization algorithm is combined to optimize parameters, so that the accuracy and generalization ability of road rage emotion detection are improved; the method can be applied to various vehicle models and drivers, and real-time detection and warning can be realized.

The invention discloses an emotion intervention method and system based on emotion detection, relates to the technical field of emotion intervention, and adopts chaos dynamics to analyze a Lyapunov index and a phase-space reconstruction dimension of a steering wheel, breaks through the static limitation of traditional threshold detection, realizes early quantitative recognition of an emotion sensitive state, and improves the accuracy of emotion intervention. The detection sensitivity of the road rage incubation period is obviously improved; a driving behavior state transition matrix is constructed through a hidden Markov model, and a dynamic evolution rule of an emotion accumulation process is effectively captured in combination with a time sequence feature of an accelerator pedal depth change rate, so that one-sidedness of single time point detection is avoided; road pressure index coupling environment pressure and physiological response are introduced, dynamic optimization of intervention opportunity is realized by means of a time convolutional network, and the problem of misjudgment caused by sudden change of external environment in a traditional scheme is effectively solved.

The disclosure provides a safe identification vehicle control method and system based on multi-data fusion perception, relates to the technical field of automation control and traffic safety, and includes setting preset conditions for starting a vehicle safety protection mechanism; acquiring various sensing data of the vehicle, identifying the safety state of the vehicle by using the various sensing data, judging whether the identification result of the safety state of the vehicle meets the preset conditions, and starting the vehicle safety protection mechanism when all the preset conditions are met; wherein the process of judging whether the fifth preset condition is met is: acquiring vehicle position information and external environment information, inputting the vehicle position information and the external environment information into a road rage risk assessment model based on probability, identifying and analyzing the behavior of the person outside the vehicle, judging whether there is a harmful behavior according to the identified facial expression and body movement of the person outside the vehicle, and if the output probability meets a probability threshold, it is judged that there is a harmful behavior, and at this time, the fifth preset condition is met.

This invention proposes a method and system for identifying and alleviating road rage based on personalized intelligent voice interaction, belonging to the field of driving safety technology. It includes acquiring road condition information and detecting whether driving scenarios that could lead to road rage exist within the road condition information; acquiring the driver's real-time voice and language feature information to identify whether the driver is experiencing road rage; acquiring the driver's voice feature information during daily driving to determine the driver's personality traits; matching a personalized voice based on the driver's personality traits; matching voice materials based on road condition information; and generating personalized voice interaction content based on the personalized voice and voice materials to alleviate the driver's negative emotions related to road rage. This invention combines road condition information and the driver's personality traits to match personalized voices and voice materials and generate personalized voice interaction content, achieving a better and more targeted alleviation effect.

Embodiments of the present application disclose a road surface information pre-notification method and device, a medium and equipment. The method comprises: if a road rage emotion event is detected, obtaining position information of the road rage emotion event; determining at least one first target monitoring device according to the position information, and intercepting a road rage cause video from video content monitored by the first target monitoring device; identifying the road rage cause video to obtain a traffic event type that triggers road rage emotion; and when at least one second target monitoring device collects a traffic event type that exists and triggers road rage emotion, notifying drivers within a preset range of the second target monitoring device of a corresponding traffic state. Through the technical solution, the driver can be notified of the road surface information after the road rage event occurs, so as to achieve the purpose of reducing the occurrence of road rage, and better driving atmosphere and road safety can be achieved.

The application discloses a driver state monitoring method based on a three-dimensional deformation model, which monitors the driver state from multiple angles through processing three modes of physiological information, head posture estimation and 3D gaze estimation; when it is judged that the driver is in an abnormal state, a warning reminder can be timely sent to prevent the driver from performing dangerous behaviors, and relevant traffic management personnel can be notified when necessary; the abnormal state includes a fatigue state, a road rage state, a distraction state and an abnormal state; the application fuses multiple monitoring modes and uses multiple computer vision and deep learning technologies, improves the accuracy and reliability of the driver state monitoring, and can be widely applied to scenes requiring long-time driving.

The embodiment of the invention relates to the technical field of vehicles, and discloses a road rage identification method and device, electronic equipment and a storage medium. According to the embodiment of the invention, on one hand, the dimension of the initial image can be effectively compressed through the downsampling operation of the first convolution kernel and the maximum pooling layer, and the operation load is reduced and the road rage identification efficiency is improved while the key image features are reserved. And on the other hand, the third image information and the fourth image information are generated through transposition convolution, the resolution of the feature map can be recovered on the basis of downsampling, and in combination with fusion of the feature mask and the initial image information, information loss in the feature processing process can be effectively reduced, and the capture accuracy of the road rage emotion features is improved. On the other hand, according to the embodiment of the invention, the feature extraction operation is performed on the user feature map by using the void convolution of at least one void rate, so that the receptive field can be expanded on the premise of not increasing the calculation amount, the facial features of the driver are captured, and the accuracy of road rage emotion recognition is further improved.

A solution is to detect whether a following vehicle detected in a rear image of a vehicle is exhibiting a road rage behavior, perform an image processing to the rear image of the vehicle if the following vehicle is exhibiting the road rage behavior; and display the processed image on a display device.

[Problem to be solved] The purpose of the present invention is to enable an occupant of a vehicle to confirm the rear of the vehicle without feeling any pressure. [Solution] A solution: detects whether a following vehicle detected in a rear image of a vehicle exhibits a road rage behavior; under the condition that the following vehicle shows the road rage behavior, performing image processing on the rear image of the vehicle; and displaying the processed image on a display device (130).