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64 results about "Vehicle behavior" patented technology
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Rigidity strength simulation verification method for automobile electric step structure
The application discloses a kind of rigidity strength simulation verification methods of automobile electric step structure, mainly by constructing the finite element model including vehicle body and step assembly, define the connection unit of specific degree of freedom release simulates actual assembly constraint, and based on the mapping relationship of step geometric characteristics and passenger getting on and off vehicle behavior, load-position mapping working condition matrix including cross-bearing, multi-source coupling, cantilever limit three kinds of characteristic regions is constructed;Rated load is applied on the preset rectangular loading surface of each characteristic region, six typical stepping scenarios are simulated;Stress and deformation results under each working condition are obtained by solver calculation, and compared with material performance threshold to evaluate rigidity strength performance.The application can comprehensively and accurately predict the structural response of electric step in the product design stage, guide design optimization, significantly shorten the development cycle and reduce test cost.
Owner:ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD
Single vehicle control method based on scene style transfer and sac network cooperation
The application discloses a kind of single vehicle control methods based on scene style migration and SAC network cooperation, including steps: S1, using SUMO tool to build simulation platform;S2, construct single vehicle longitudinal control model, SAC network is used to obtain traffic state from simulation platform, then take action control vehicle behavior, after action execution, agent receives the reward value updated agent parameter that simulation platform feedback;S3, define policy network, output the numerical value of acceleration;Define value function network, output layer represents the estimation of state value;S4, through the vehicle control experimental platform built in call SUMO to simulate different weather conditions, and build measurement model;S5, on the basis of single vehicle longitudinal control model build migration learning framework;S6, using migration learning will train convergent single vehicle longitudinal control model to be transplanted to different weather conditions and train.The application can effectively inhibit traffic stop and go wave, ensure traffic safety, reduce fuel consumption.
Owner:SOUTHEAST UNIV
A method for dynamically evaluating and intelligently managing and controlling traffic safety risks on expressways
The present application relates to the technical field of dynamic assessment of traffic safety risk, in particular to a method for dynamic assessment and intelligent management and control of expressway traffic safety risk. The present application utilizes the parallel computing characteristics of LightGBM, combines edge computing nodes, and realizes millisecond-level risk inference. The present application takes the three-level risk label as the basis for label generation, simultaneously utilizes SHAP to discover the blind area not covered by the rules, and reversely optimizes the rule library. Thus, the present application realizes real-time risk quantification, hierarchical early warning and dynamic intervention on the vehicle behavior in the complex traffic flow of the expressway.
Owner:SHANGHAI URBAN CONSTR INFORMATION TECH CO LTD
Vehicle behavior control system
ActiveCN116573035BImprove practicalityGood energy saving effectSteering linkagesInterconnection systemsVehicle behaviorControl system
The present application provides a vehicle behavior control system with high practicality. In a vehicle behavior control system having an electric actuator (28) mounted on a vehicle and used to change the attitude of the vehicle, such as a steering system, an active stability system, an active suspension system, etc., a target value (θ * ) of a control object of the electric actuator is determined based on at least one of an attitude (δ) that the vehicle should assume and a factor that changes the attitude of the vehicle, a current (I S ) is supplied to the electric actuator based on the target value, and in a specific condition, a current reduction process is performed to reduce the current supplied to the electric actuator. In the current reduction process, a low-pass filter process (404) performed on the target value, a gain reduction process that reduces the proportional term gain (K P ) and the differential term gain (K D ) in a PID feedback control, etc. can be adopted. Energy saving and power saving of the system are sought.
Owner:TOYOTA JIDOSHA KK
METHOD AND DEVICE FOR PRODUCEING A COLLABORATIVE DYNAMIC MAPPING FOR A VEHICLE
The present disclosure describes a method (700) and a device (210) for generating a collaborative dynamic map for an ego-vehicle. The method comprises collecting (702) lane and behavior data of the ego-vehicle and one or more neighboring vehicles. The lane and behavior data comprise a plurality of vehicle behavior parameters and a plurality of lane-level parameters of a plurality of lanes. The method comprises generating (704) lane-level segment data of the plurality of lanes based on the collected lane and behavior data and receiving (706) lane-level segment data from neighboring autonomous vehicles located in at least one target lane via V2V communication links.The procedure includes processing (708) the generated and received lane segment data to generate the dynamic map for the ego vehicle, which represents the live traffic conditions in the multitude of lanes and the at least one destination lane.
Owner:MERCEDES BENZ GROUP AG
Calculation unit and program
To provide a computing device and program that can estimate road surface conditions with high accuracy for each type of vehicle. [Solution] The computing device according to this disclosure includes: an acquisition unit that acquires behavior information indicating the behavior of a first type of vehicle while it is in motion; a conversion unit that performs a process to convert the behavior information of the first type of vehicle into data corresponding to the behavior information of a second type of vehicle using a second trained model that has learned the relationship between the behavior information of the first type of vehicle and the behavior information of a second type of vehicle which is another specific type of vehicle; a determination unit that determines the road surface conditions on which the first type of vehicle is traveling by inputting the behavior information after the behavior information of the first type of vehicle has been converted into data corresponding to the behavior information of the second type of vehicle into a trained model that has been learned using the behavior information of the second type of vehicle; and an output unit that outputs the determination result of the road surface conditions.
Owner:KAYABA CO LTD
Vehicle behavior data processing method, system and computer device based on internet of vehicles
ActiveCN121579974BParticular environment based servicesIn-vehicle communicationVehicle behaviorIn vehicle
The present application relates to the technical field of Internet of Vehicles, in particular to a vehicle behavior data processing method and system based on Internet of Vehicles and a computer device. Through comprehensive analysis of power charging and discharging efficiency, transient response and current transient response speed, the monitoring and evaluation capability of power health status can be significantly improved. By judging whether the current transient response speed is less than a preset value and selecting the power current transient response time or the power voltage transient response time according to the judgment result to obtain the vehicle-mounted power health evaluation result, the evaluation of the vehicle-mounted power health status is more comprehensive by considering the transient response characteristics of current and voltage at the same time. The response characteristics of current and voltage are different, and comprehensive analysis can more deeply reveal the health status of the power supply, thereby not only improving the accuracy and comprehensiveness of power health evaluation, but also improving the real-time reaction capability and fault warning capability of the system.
Owner:GUANGZHOU YUNBAI DIGITAL TECHNOLOGY CO LTD
Methods for diagnosing vibration dampers
Method for diagnosing a chassis system (3; 5; 7; 9), comprising a sensor device (45) that detects a road obstacle (49) located in front of a vehicle and a road signal (F B ) for a chassis control unit (43), based on the road signal (F B ) a calculation of the vehicle behavior is performed, wherein a wear state is calculated from a comparison by a diagnostic unit (53) between a target value and an actual value of the vehicle behavior, characterized in that the sensor device (45) detects whether a chassis component (3; 7) of a left lane is exposed to a comparable excitation as a comparable chassis component (5; 9) of a right lane, wherein the vibration behavior of both chassis components is compared and a wear state of the chassis component is assumed if there is a deviation above a threshold value.
Owner:ZF FRIEDRICHSHAFEN AG
Map generation device, map generation process and map generation program
PendingDE102025144516A1Instruments for road network navigationProfile tracingGeneration processVehicle behavior
A map-generating device configured to generate a probe map (Mp) from probe data collected by a vehicle, and comprising a processor (102) configured to: obtain the probe data collected while the vehicle travels on a road; generate the probe map by combining the probe data with a base map (Mb) containing at least basic shape information about the shape of the road; and correct the probe data based on a difference in shape between the basic shape information and probe shape information about the shape of the road, estimated from probe behavior data relating to vehicle behavior in the probe data. Generating the probe map includes merging the corrected probe data onto the base map.
Owner:DENSO CORP
Method and device for determining alternate vehicle behavior, storage medium and electronic device
Owner:ZHEJIANG DAHUA TECH CO LTD
A road network digitization cloud scheduling method and system based on vehicle-road cooperation
This invention belongs to the field of digital cloud scheduling technology for road networks, specifically relating to a method and system for digital cloud scheduling of road networks based on vehicle-road cooperation. The method includes: collecting traffic flow data using roadside units and identifying vehicle information; analyzing the vehicle information to obtain the vehicle spatial interference index and vehicle behavior interference index of unconnected vehicles, and combining these to generate a penetration impact index for unconnected vehicles; using the penetration impact index of unconnected vehicles to obtain a green wave attenuation index through green wave traffic interference analysis; using the green wave attenuation index to obtain road saturation through road capacity assessment; and invoking the corresponding green wave coordination strategy based on the road saturation. This invention achieves quantitative and dynamic differentiated scheduling of interference from unconnected vehicles, effectively improving the efficiency of green wave traffic and the overall operational efficiency of the road network in mixed traffic flow environments.
Owner:ENTERPRISE ONLINE (BEIJING) NETWORK CO LTD
A vehicle tracking and re-perception method and system based on a large language model
The application discloses a kind of vehicle tracking and re-perception method and system based on large language model, through the intelligent analysis of pre-training large language model, quickly output control signal guides rear vehicle action, shorten the tracking interruption time after target vehicle loss, improve the continuity and overall efficiency of vehicle tracking;The present application is based on pre-training large language model, learns and understands various complex vehicle driving scenarios and target vehicle behavior patterns.Large language model makes reasonable judgment and prediction according to the input image information, generates control signals suitable for different situations, and has stronger adaptability and flexibility compared with traditional fixed rule-based method;Using large language model to analyze the images of the target vehicle for several seconds before disappearing can fully exploit useful information in the images, accurately infer the direction of the target vehicle, and improve the data utilization efficiency and the accuracy of re-perception.
Owner:YULIN INTELLIGENT UNMANNED EQUIPMENT INNOVATION CENTER CO LTD
Vehicle control device
In the vehicle control device mounted on the vehicle, the information acquisition unit 11 acquires a vehicle information data group representing vehicle information regarding the behavior of the vehicle 2, a road environment data group 32 representing road environment information regarding the environment of the road on which the vehicle 2 is traveling, and a sensor recognition data group 33 representing sensor recognition information regarding the surrounding environment of the vehicle 2 recognized by the external sensor group 4 mounted on the vehicle 2. Based on the road environment data group 32 and the sensor recognition data group 33, the apparent obstacle prediction unit 12 predicts the future behavior of the apparent obstacle that may hinder the traveling of the vehicle 2. The lane risk map generation unit 15 generates a lane risk map representing the collision risk between the vehicle 2 and the obstacle for each lane of the road based on the vehicle information data group 31 and the future behavior of the apparent obstacle predicted by the apparent obstacle prediction unit 12.
Owner:ASTEMO LTD
Apparatus for estimating motion of vehicle occupant and method therefor
An apparatus for estimating a motion of a vehicle occupant, and a method therefor, can store motion estimating models of a vehicle occupant, collect behavior data of a vehicle, determine a traveling mode of the vehicle based on a longitudinal acceleration among the behavior data of the vehicle, and estimate a motion of the vehicle occupant using at least one of the motion estimating models corresponding to the traveling mode of the vehicle. The motion estimating models can include a first model corresponding to a dynamic mode of the vehicle and a second model corresponding to a steady state mode of the vehicle.
Owner:HYUNDAI MOTOR CO LTD +2
Multi-vehicle cooperative lane-changing method and system based on reinforcement learning in mixed traffic environment
The application relates to the technical field of intelligent driving, in particular to a multi-vehicle cooperative lane-changing method and system based on reinforcement learning in a mixed traffic environment, vehicle information and environment information are acquired in real time; according to the vehicle information and the environment information, a double-layer decision model is constructed to plan a driving track and a driving speed of the vehicle; a high layer of the decision model determines an optimal vehicle behavior according to the vehicle information and the environment information, and a low layer plans the driving track and the speed according to the optimal vehicle behavior and the vehicle information; in the planned driving track and speed, a collision ellipse model is constructed to detect a conflict between an ICV (Intelligent Connected Vehicle) and an HDV (Heavy Duty Vehicle) according to the track and the speed, and the driving speed is adjusted according to the conflict. The scheme can improve the multi-vehicle cooperative scheduling efficiency and the adaptability to a dynamic traffic environment.
Owner:CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST
Interaction method, apparatus and mobile device
This application discloses an interaction method, apparatus, and mobile device. The method includes: acquiring a first environmental image containing a target object, wherein the target object is one of the factors affecting the driving state of the mobile device; and displaying target prompt information for the target object on a target page of the mobile device's corresponding display, wherein the target prompt information is generated based on the first environmental image. This application solves the technical problem of poor human-computer interaction experience and low collaborative efficiency caused by users' inability to understand the vehicle's behavioral motivations in the assisted driving system.
Owner:GUANGZHOU XIAOPENG CONNECTIVITY TECH CO LTD
Method for optimising a function of a type of motor vehicle
The invention relates to a method for optimising a function of a type of motor vehicle, which function has an impact on the behaviour of the vehicle perceived by a driver, the method being implemented by a processor and comprising the steps of: • implementing (203) the function in a plurality of vehicles of the same type; • collecting (205) scores associated with comments from the drivers regarding the behaviour of their vehicle with regard to the function and transmitting (207) the scores and comments to a remote device; • establishing (209) an average score for the function by aggregating the scores, and classifying (211) the comments using a large language model, or LLM, within a predefined list of criteria; • if the average score is below a predefined score, determining, using the LLM (213), the criteria receiving negative comments in order to improve said criteria. The invention further relates to a system for optimising a function.
Owner:STELLANTIS AUTO SAS +1
Steering wheel bio-sensing driving risk intervention system and method
The application discloses a steering wheel biological perception driving risk intervention system and method, and belongs to the field of vehicle active safety technology. The system collects signals related to the contact area between the driver and the steering wheel and vehicle behavior signals to form original multi-modal time series data; determines the contact effectiveness coefficient and performs weight reduction, interpolation or shielding processing on distorted samples to obtain effective multi-modal time series data; establishes individual baseline parameters according to the calm driving stage, performs baseline correction and multi-modal fusion on the multi-modal characteristics, and outputs emotion recognition results; determines the comprehensive risk score in combination with the driving behavior abnormality and the scene risk degree, and outputs the monitoring state, the early warning state or the active intervention state control instruction according to the risk threshold, and the active intervention state control instruction is verified and released step by step when the recovery condition is met. The application can improve the accuracy, stability and safety of the driver state recognition and risk assessment and the active intervention control.
Owner:RIVOTEK TECH (JIANGSU) CO LTD
Mamba and blockchain-based v2x trust management system
PendingCN122395593ABasic safety messageSequence reconstruction
The application discloses a V2X trust management system based on Mamba and a block chain, which utilizes a deep neural network Mamba deployed at a base station to detect whether a basic safety message broadcast by a vehicle is abnormal in an unsupervised sequence reconstruction manner. A detection result is converted into a 'positive interaction' or 'negative interaction' record representing a vehicle behavior and stored in a block chain module jointly maintained by the base station. When it is necessary to evaluate vehicle trust, the base station inquires all interaction histories of the vehicle from the block chain module and calculates a dynamic trust value of the vehicle based on a Beta distribution expectation. The application innovatively combines a powerful abnormal detection capability of deep learning and decentralized and tamper-proof characteristics of a block chain, realizes effective identification of attacks in a vehicle network and distributed trust management, and solves a single-point failure problem of a centralized scheme.
Owner:GUANGDONG POLYTECHNIC NORMAL UNIV
Device and method
PCT designated stageWO2026110237A1SensorsDiagnostic recording/measuringPhysical medicine and rehabilitationDriver/operator
In one embodiment of the present invention, a device is provided to assist in improving vehicle driving skills. The device comprises: a myoelectric information acquisition unit that acquires myoelectric information indicating the movement of muscles at a first point in time of a driver driving a vehicle; a behavior information acquisition unit that acquires behavior information indicating the behavior of the vehicle during a period of time including a second point in time prior to the first point in time; a prediction unit that uses a trained model to estimate myoelectric information of the driver at the first point in time from the behavior information acquired by the behavior information acquisition unit; an evaluation unit that evaluates the driving of the driver by comparing the myoelectric information of the driver acquired by the myoelectric information acquisition unit to the myoelectric information of the driver estimated by the prediction unit; and an output unit that outputs information indicating the evaluation of the driving of the driver. The trained model is trained using, as training data, myoelectric information indicating the movement of the muscles of skilled persons and behavior information indicating the behavior of vehicles driven by skilled persons.
Owner:NTT DOCOMO INC
Vehicle violation detection method and vehicle violation detection system
A vehicle violation detection method and vehicle violation detection system are provided. The method includes the following steps. A video clip including a plurality of consecutive frames is obtained, wherein the video clip is generated through photographing an intersection by an image capture device. A traffic sign object corresponding to a traffic sign and a license plate object corresponding to a license plate are detected from each of the frames. According to a sign position of the traffic sign object and a plate position of the license plate object in each of the frames, vehicle behavior information of each of the frames is obtained. By conducting regression analysis to the vehicle behavior information of each of the frames, whether a vehicle violation event has occurred is determined.
Owner:NATIONAL CHENGCHI UNIVERSITY
Automobile driving scene recognition control system, method and storage medium
The application discloses a vehicle driving scene recognition control system and method and a storage medium. The system and method calculate a near-field model of a current vehicle through a vehicle-mounted map, positioning, radar, a camera and vehicle communication information, recognize a current driving scene of the vehicle, perform relevant safety calculation, and thus issue corresponding warning prompts and vehicle intervention. The application constructs a vehicle near-field driving model through vehicle near-field communication technology, so as to achieve the purposes of predicting the driving behavior of a neighboring vehicle, suggesting the behavior of the vehicle, and warning and intervening, thereby reducing the number of traffic accidents in a highway scene.
Owner:CHONGQING CHANGAN AUTOMOBILE CO LTD
Map generation device, map generation method, and map generation program product
Owner:SHANGHAI TIANMA MICRO ELECTRONICS CO LTD +2
A big data highway accident pattern recognition system
PendingCN122176920AInternal combustion piston enginesDetection of traffic movementData setData acquisition
The application discloses a big data highway accident mode recognition system, comprising: a multi-source data acquisition module for collecting environmental data, facility operation data and vehicle behavior data of a highway section; a data processing module connected with the multi-source data acquisition module, used for fusing and processing various collected data to generate a spatio-temporal aligned joint data set; a mode recognition module connected with the data processing module, used for extracting and fusing multi-dimensional features from the joint data set, and identifying the cause mode and precursor mode of the accident based on the features; and an early warning output module connected with the mode recognition module, used for issuing a road section risk early warning information; the application integrates three heterogeneous data sources of environment, facility and vehicle behavior, constructs a multi-dimensional three-dimensional risk perception system, significantly improves the discovery ability and recognition accuracy of implicit or early risks such as thin ice and fog, and realizes the leap from single appearance monitoring to multi-dimensional essential perception of highway risks.
Owner:SHENZHEN CHENGZHI TECH CO LTD
Driver assistance system and method using electroencephalogram
ActiveUS12662134B2Input/output for user-computer interactionSensorsPattern recognitionDriver/operator
A driver assistance system and method using an electroencephalogram (EEG) is provided where driver assistance system using an electroencephalogram (EEG) includes an EEG measurer configured to measure an EEG signal of a driver of a vehicle, a processor configured to receive a behavior signal of the vehicle indicating a behavior of the vehicle, determine whether the EEG signal is a normal signal, and provide a notification based on determining that the EEG signal is not a normal signal and based on the behavior signal of the vehicle.
Owner:HYUNDAI MOBIS CO LTD
Scene library construction method, device and equipment for cut-in scene, medium and product
This application relates to a method, apparatus, device, medium, and product for constructing a scenario library for entry scenarios. The method includes: filtering vehicle behavior within a target road segment based on raw sensing data collected by multiple roadside sensors within that segment to determine conflicting vehicle sets and lane-changing vehicle sets; the raw sensing data consists of driving information of multiple vehicles within the target road segment during their journey; determining entry vehicle information for vehicles with entry scenarios within the target road segment based on the conflicting vehicle sets and lane-changing vehicle sets; and constructing a scenario library for entry scenarios based on the entry vehicle information. This method can improve the quality of the scenario library for entry scenarios.
Owner:苏州万集车联网技术有限公司
Abnormality detection device, abnormality detection method, and abnormality detection program
An abnormality detection device includes a motion detection unit that detects a motion indicating pain associated with a disease of a body of a driver based on motion information of the driver acquired by a camera, a behavior detection unit that detects abnormal behavior of a vehicle based on behavior information acquired by a vehicle behavior information acquisition unit, a biometric information detection unit that detects biometric information that is an abnormal sign of the driver based on biometric information acquired by the biometric information acquisition unit, and an abnormal sign determination unit that determines whether the driver shows an abnormal sign in the body by using all or some of a detection result of the motion detection unit, a detection result of the behavior detection unit, and a detection result of the biometric information detection unit.
Owner:YAZAKI CORP
A modeling and model conversion method for autonomous driving demand analysis
ActiveCN116029281BInternal combustion piston enginesNatural language data processingVehicle behaviorActivity diagram
The application provides a modeling and model conversion method for automatic driving demand analysis, comprising the following steps: step 1, defining a UML extension meta-model; step 2, obtaining an intermediate model; and step 3, generating a target extension model. The application combines the abstracted concepts with the UML analysis model by analyzing and extracting the automatic driving related terms and concepts and the behavior characteristics of the automatic driving vehicle, realizes the extension of the UML class diagram and the activity diagram in the automatic driving field, formulates the model conversion rules according to the automatic driving concepts of the automatic driving system limited use case modeling language, and realizes the model conversion method based on the model conversion engine written in the Java language, so that the defects that the general model conversion method cannot process the RUCM4ADS model are made up, the efficiency and accuracy of the model conversion in the automatic driving field are promoted, the subsequent analysis and testing of the system demand are facilitated, and the accuracy of the demand modeling in the automatic driving field is improved.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
A traffic scene automatic generation and editing method based on a large language model
This invention discloses a method for automatically generating and editing traffic scenes based on a large language model. It extracts structured scene data, including road structure and vehicle information layers, through multi-stage parsing of natural language descriptions. A constraint model is then constructed based on vehicle behavior and collision relationships to calculate the initial positions and velocities of each vehicle, ensuring that multiple vehicles arrive at the collision point simultaneously and meet collision location requirements. Furthermore, the structured data and motion parameters are mapped to scene files conforming to preset simulation specifications, achieving automatic generation of traffic scenes. Simultaneously, it supports scene modification and reconstruction based on natural language. This invention realizes a complete conversion process from text description to simulation scene, improving the accuracy and scalability of scene generation.
Owner:SHANGHAI MARITIME UNIVERSITY
An intelligent vehicle cyber-physical system uncertainty perception speed optimization method
This invention provides a speed optimization method for uncertainty perception in intelligent vehicle cyber-physical systems, belonging to the field of intelligent transportation technology. The method includes: collecting vehicle and traffic flow operational status data and transmitting it to the information layer for fusion analysis; constructing multi-temporal and spatial scale traffic state models at the vehicle, road, and regional levels; establishing speed optimization models for fuel consumption, congestion uncertainty, and travel time risks; using a swarm intelligence optimization algorithm to solve for recommended speeds for different road segments and distributing them; vehicles responding to the recommended speeds based on an information-guided intelligent driver model to achieve real-time control; and transmitting the vehicle's response data back to the information layer to update the model and re-execute optimization. This invention, through multi-temporal and spatial scale modeling and uncertainty feature quantification, constructs a closed-loop feedback mechanism for macro-level traffic optimization and micro-level vehicle behavior control, effectively improving traffic system operating efficiency, reducing fuel consumption, and shortening travel time.
Owner:CHONGQING UNIV