127 results about "Driver safety" patented technology

This disclosure relates to systems, methods, and devices for providing safety event alerts to drivers and for receiving feedback from drivers in real time. A driver safety alerting method can include monitoring, using at least one safety monitoring device, information indicative of driver safety, detecting, using the information indicative of driver safety, a safety event, alerting a driver of the safety event, and receiving, via the at least one safety monitoring device in substantially real time, driver feedback, the driver. Safety event information can be used for training a machine learning model configured to detect safety events.

A steering wheel system is disclosed for monitoring a driver's vital signs of a driver. The steering wheel system comprises a steering wheel and sensors integrated into the steering wheel. The sensors are configured to detect one or more driver vital signs. The steering wheel system comprises a memory storing computer executable instructions, and a processor configured to execute the computer executable instructions. The processor receives the one or more vital signs from the array of sensors, wherein the one or more vital signs correspond to cortisol levels, alcohol levels, one or more proteins associated with an occurrence stroke, one or more biomarkers associated with myocardial infarctions, temperature, pulse rate, and oxygen levels. The processor determines a health risk of the driver based at least in part on the vital signs and alerts the driver in response to the health risk exceeding a certain health risk level.

The invention provides a safe driving method for a chemical goods freight vehicle, which comprises the following steps: judging whether a dynamic motor vehicle, a non-motor vehicle and a person enter a dangerous area or not when the vehicle reaches a turning area to turn by predicting the direction of a moving object, and marking the predicted dangerous vehicle and person. Therefore, the influence of a driving blind area on safe driving of a driver is reduced.

The invention provides a parking control method, a vehicle and a storage medium, the method is applied to the technical field of intelligent driving, and the method comprises the steps that under the condition that a starting request of a target function of the vehicle is received, a first parking parameter input by the vehicle is acquired, the first parking parameter comprises a fixed-point wheel of the vehicle, a rotation direction of the vehicle around the fixed-point wheel and a rotation angle of the vehicle around the fixed-point wheel; determining a second parking parameter of the vehicle based on the first parking parameter, wherein the second parking parameter comprises a rotation direction and / or a rotation angle of a non-fixed-point wheel of the vehicle; and based on the first parking parameter and the second parking parameter, the vehicle is controlled to rotate around the fixed-point wheel, so that the vehicle is parked in or out of the target parking space. According to the method, the vehicle can be controlled to rotate around the fixed-point wheel based on the first parking parameter input by the vehicle, so that a driver can safely and accurately complete parking operation without parking assistance of a camera and an ultrasonic radar sensor, and the parking experience of the driver is improved.

The invention discloses an unmanned self-adaptive toll collection method and system for a highway, relates to the technical field of self-adaptive toll collection, and solves the problems that in a highway toll collection system, a toll collection channel is difficult to open in time according to the congestion condition of a toll station, and the toll collection efficiency is high. And self-adaptive charging is difficult to carry out according to the potential risk of the driver on the road. According to the invention, the number of vehicles in a toll station and target data are obtained in real time; dividing a time period, and calculating a congestion factor of the next time period according to the number of vehicles in the current time period; dynamically adjusting the number of opened charging channels in the next time period based on the congestion factor; after the time reaches the next time period, the vehicles are distributed to the corresponding charging channels through the artificial intelligence model; determining a road influence factor of each vehicle based on the target data and accounting highway cost; according to the invention, the passing efficiency of vehicles at the toll station can be improved, a supervising and urging effect on safe driving of a driver is achieved, and the traffic safety is improved.

The present invention provides a high-speed fault identification method based on Internet of Vehicles big data, comprising the following steps: S1, acquiring vehicle status data, behavior data, and GPS data of an in-vehicle infotainment terminal, transmitting same to the cloud, and preprocessing the vehicle status data, the behavior data, and the GPS data to obtain vehicle speed, sharp acceleration, sharp deceleration, sharp turn, activation status of hazard warning lights, driver exit status, an anti-lock braking system (ABS) fault related trouble code, an engine malfunction indicator lamp related trouble code, a tire pressure anomaly related trouble code, a coolant temperature warning related trouble code, and GPS point positioning data. Thus, whether a vehicle has stopped on a highway due to a fault can be effectively and rapidly detected, and location information of the vehicle is acquired on the basis of the GPS point positioning data, without the need to mount an aftermarket sensor, thereby achieving the advantages of low costs and high accuracy. Multi-dimensional identification of whether the vehicle has stopped on the highway due to the fault provides a basis for an original equipment manufacturer to implement after-sale care and for ensuring driver safety.

The present application relates to a kind of narrow body vehicle balance control method based on control moment gyro, belong to narrow body vehicle active roll control system field.The dynamics equation of control moment gyro is established, the active roll dynamics model of narrow body vehicle is calculated to obtain the roll angle error and roll angular velocity error of vehicle, then the active roll controller is designed using sliding mode control method to control the roll angle error and roll angular velocity error, and the rotational angular velocity of control moment gyro frame is obtained;Finally, the control moment gyro on narrow body vehicle is adjusted in real time, and vehicle balance is realized.The vehicle roll scheme in the present application uses control moment gyro device, with high control precision, fast response speed, and independent of suspension system, can realize greater balance torque.By controlling the frame angular velocity of control moment gyro, the dynamic balance of narrow body vehicle when steering can be realized, to assist the safe steering of driver.

The invention discloses a driver safety risk real-time assessment system based on multi-source data fusion, and relates to the technical field of safety risk assessment. The driver safety risk real-time assessment system based on multi-source data fusion comprises a vehicle assessment module used for acquiring vehicle state data of a to-be-assessed driver in real time and analyzing a driving response stability characteristic value of the to-be-assessed driver; the behavior evaluation module is used for acquiring vehicle driving image data and driving image data of a to-be-evaluated driver, and analyzing a behavior safety characteristic value of the to-be-evaluated driver in combination with a pre-trained safety evaluation model; the comprehensive evaluation module is used for analyzing the safety risk characteristic value based on the driving response stability characteristic value and the behavior safety characteristic value, safety risk evaluation is conducted on the driver based on the safety risk characteristic value in the risk feedback module, and therefore the system can accurately reflect the risk level of the driver in different environments; and corresponding safety warning is provided, so that the safety of the driver is improved.

A system equipped with dual cameras configured to capture video data simultaneously, with one facing a user and other facing towards a road, utilizes state-of-the-art machine learning and deep learning technology for face and facial landmark detection models to calculate eye aspect ratio (EAR), which is further used to derive the real-time mean open eye aspect ratio (MOE) that determines user's eye openness and attentiveness and subsequently MOE threshold values are carefully selected based on EAR calibration threshold for varying eye sizes, and alerts are given to user when real-time MOE falls below MOE threshold level enabling user to take preventive measures to enhance driver safety and optimize driving experiences.

The invention discloses an intelligent occupying detection method for passengers in a vehicle based on multi-sensor fusion. The intelligent occupying detection method comprises the steps that the fault conditions of seat pressure sensors and visual detection sensor assemblies of a main driver and a non-main driver are judged; if no fault occurs, obtaining a main driver occupying state and a passenger attribute according to the detection results of the two; if the main driver seat pressure sensor and the visual detection sensor assembly both break down, the main driver occupying state is obtained according to the fastening state of a main driver safety belt or the state signal of a brake pedal; if one of the seat pressure sensors and the visual detection sensor assemblies of the main driver and the non-main driver breaks down, the occupying states and the passenger attributes of the main driver and the non-main driver are obtained according to the detection results of the sensors which do not break down; and if the seat pressure sensor and the visual detection sensor assembly at the non-main-driving corresponding position fail, the non-main-driving corresponding position does not occupy the space. According to the invention, the visual identification scheme is fused, so that the cockpit occupation identification precision and reliability can be improved.

The invention discloses a strong magnetic environment mode control method and system for a pure electric heavy commercial vehicle, and the method comprises the steps: enabling a VCU (Vehicle Control Unit) to transmit a strong magnetic environment mode working signal to a BMS (Battery Management System) through a CAN (Controller Area Network) bus after entering a strong magnetic environment mode, and executing shielding operation; the VCU stops sending the upshift and downshift control instruction to an automatic mechanical transmission (AMT), so that the automatic gear shifting function of the AMT is invalid; meanwhile, a brake pedal does not need to be stepped on when the whole vehicle is powered on and off and shifts gears; starting a D-gear manual switch and an R-gear manual switch which are arranged in a cab and are independent of an original gear controller; and the VCU directly receives the hard wire signal of the manual switch and directly controls the vehicle gear according to the closed state of the manual switch. Whether the vehicle enters the strong magnetic environment mode to operate or not is judged through the strong magnetic environment mode switch, and the forward gear and the backward gear of the vehicle are changed according to the D-gear and R-gear manual switch closing state in the mode. The driving adaptability and the driver safety in the special environment are ensured, and the vehicle operation stability in the special environment is improved.

The invention relates to a rigidity monitoring method, system and equipment based on liquid amount deviation differential and a medium. The method comprises the steps that braking operation of a driver is monitored in real time, and actual liquid consumption of a braking system in a current braking cycle is obtained according to the braking operation; according to a pressure model in an ABS control module, calculating to obtain reference liquid amount consumption of the current brake cycle; calculating a deviation differential between the actual liquid amount consumption and the reference liquid amount consumption to obtain a deviation change rate between the actual liquid amount consumption and the reference liquid amount consumption; determining the stiffness failure rate of the brake system according to the deviation change rate and the action of the ABS valve in the current brake cycle; and judging whether the stiffness failure rate exceeds a preset threshold, and if yes, outputting a failure signal. According to the method, the rigidity abnormity can be found in time when the ABS valve has potential failure but the braking system does not detect the failure, and a driver is prompted in time when the abnormity occurs, so that the driving safety risk is reduced, and the safety of the driver is guaranteed.

The present invention relates to an innovative ambient lighting system for vehicles that uses the integration of traffic signal information to improve driver safety and alertness. The system uses sensors and cameras to detect the status of nearby traffic signals and adjusts the vehicle's ambient lighting accordingly. An automatic change of color or light pattern in the vehicle interior alerts the driver to the traffic light situation, even if their attention is impaired by other activities. Furthermore, the ambient lighting system offers additional functionalities for vehicles such as ambulances and police cars. It detects acoustic warning signals, such as sirens, and responds with visual warnings to alert the driver to potential hazards. A voice-activated warning function and the use of specific light patterns enable effective communication with the driver and contribute to improved safety in critical situations. This invention offers an innovative solution for making vehicle interior lighting not only aesthetically pleasing but also an important safety and warning system. By integrating traffic signal information and acoustic warning signals, the driver's attention is drawn to potential hazards, and reaction time in critical situations is improved.

This invention relates to the field of prefabricated cabin technology, specifically a high-strength metal prefabricated cabin structure device, including a forklift cabin. A protective steel plate is provided on the top of the forklift cabin. Two columns are installed on the lower surface of the protective steel plate near the back of the forklift cabin. Multiple limiting rings are installed on the columns at equal intervals from top to bottom. A guide seat is provided below a compression spring. One end of the guide seat is connected and fixed to the forklift cabin. A guide hole is opened on the upper surface of the guide seat, through which the columns pass. The compression spring is sleeved on the column. This invention has the following beneficial effects: Adding a protective steel plate to the top of the forklift cabin serves as the first line of defense against impact, absorbing the direct impact of falling objects from a height, preventing the impact force from directly acting on the main body of the forklift cabin, fundamentally preventing irreversible damage such as dents and bends in the forklift cabin, significantly improving the impact resistance and protection capability of the forklift cabin, and ensuring driver safety.

The present invention prompts a driver to drive safely. On the basis of first information, a first radius of curvature value is determined for each curve, and a curve, of which the radius of curvature value is smaller than the first radius of curvature value, is determined to be a curve requiring attention.

1. The name of the design product: Driver monitoring camera (AI-DMS-01). 2. The use of the design product: The design product is used for face recognition of the driver, and for monitoring the fatigue and distraction of the driver, to ensure the safe driving of the driver. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application provides a vehicle control method and a vehicle controller, and belongs to the technical field of automobiles. The method comprises the following steps: obtaining state information of a vehicle when the vehicle is shifting gears, the state information being capable of indicating a road working condition and a driving working condition of the vehicle and being irrelevant to a state of a safety belt of a driver; determining whether the vehicle satisfies an EPB release condition based on the state information; and releasing the EPB of the vehicle if the EPB release condition is satisfied. In this process, the state of the safety belt of the driver does not need to be considered, so that the EPB can be automatically released even when the driver does not fasten the safety belt during short-distance driving of the vehicle, thereby improving the driving experience of the user.

Techniques for optimizing driving alerts provided by a computing device are presented herein. In some techniques, a driving alert management server system transmits an initial set of alert rules to a driver safety application executing on a computing device and receives an alert history from the application including alerts provided to a user in response to detecting occurrences of one or more types of driving events according to the initial set of alert rules. A likelihood that the user will disable future alerts is generated by executing a user-churn machine learning model on the alert history and compared to predefined churn threshold criteria. Based on the comparison, the initial alert rules are modified to generate a new set of alert rules that optimize the likelihood, and the new set of alert rules are transmitted to the application.

The invention relates to the field of industrial vehicle hardware design, in particular to equipment structure optimization for monitoring the safety state of a driver of a vehicle. According to the technical scheme, the driver distraction early warning device suitable for the industrial vehicle comprises a vehicle connecting opening used for being connected with the industrial vehicle, a connecting rod connected with the vehicle connecting opening and a feature collecting module connected with the connecting rod, a mounting disc is rotationally connected to the connecting rod, and the feature collecting module is connected with the mounting disc. The mounting disc comprises a base disc and a moving disc in sliding connection with the base disc, the special acquisition module comprises a plurality of acquisition monomers mounted on the surface of the moving disc, and each acquisition monomer comprises a sensor. The invention aims to provide a driver distraction early warning device suitable for an industrial vehicle and the industrial vehicle. Flexible adjustment can be carried out according to heights and sitting postures of different drivers, and the recognition accuracy and universality are improved; the visual angle is wide and accurate, and targets are not easy to lose.

The invention relates to the technical field of automobile safety air bags, in particular to a vibration reduction driver safety air bag box which comprises a box body and an air bag module, the air bag module is installed on the box body, a plurality of sets of guide holes are formed in the box body, guide columns are movably installed in the guide holes, and vibration reduction mechanisms are arranged between the guide columns and the guide holes. The vibration of the box body is reduced through the vibration reduction mechanism, the box body is provided with the compensation mechanism, and the vibration reduction mechanism is elastically compensated through the compensation mechanism; a conducting strip pressing plate is installed in the box body, copper contacts corresponding to the guide columns are arranged on the conducting strip pressing plate, the guide columns and the copper contacts serve as a negative electrode contact and a positive electrode contact of the loudspeaker respectively, the positive electrode and the negative electrode of the loudspeaker are of the guide column and copper contact structure respectively, and the copper contacts are communicated through the conducting strip pressing plate. Therefore, the guide post is contacted and communicated with the copper contact, the conduction of a circuit is realized, the structure is simple, and the installation is convenient.

The application discloses a driving prewarning method, device and equipment and a storage medium. The application collects environment data from multiple angles, obtains initial image data, performs image splicing and image matching on the initial image data, and obtains target image data; an overlapping area of the target image data and the initial image data is obtained, and a fusion route is obtained; image fusion is performed through the fusion route, fusion image data is obtained, and the collected images are spliced, matched and fused to obtain more accurate and comprehensive images; a target recognition algorithm is used to perform target recognition on the fusion image data, and each target in the image can be accurately recognized; a ranging algorithm is used to calculate the distance between the recognized target and the vehicle, and an initial distance is obtained; an optimal ranging algorithm is used to optimize the initial distance, and a target distance is obtained; and the vehicle is prewarned based on the target distance, the accuracy of distance calculation is improved, the vehicle can be accurately prewarned, the driver is assisted to drive safely, and the safety factor is improved.

The present invention discloses a collision avoidance assistance system for intelligent connected vehicles merging into a target lane, comprising: a vehicle network information receiving module for acquiring road condition information and status information of vehicles in the target lane; an on-board status sensing module for acquiring the status information of the vehicle; a merging process estimation module for fitting the merging trajectory of the vehicle; a forward safety distance calculation module for calculating the longitudinal safety distance between the vehicle and the preceding vehicle in the target lane; a rearward first safety distance calculation module for calculating the first longitudinal safety distance between the vehicle and the following vehicle in the target lane; a rearward second safety distance calculation module for calculating the second longitudinal safety distance between the vehicle and the following vehicle in the target lane; an anti-collision decision module for determining whether merging is safe and issuing a decision signal; and a danger warning module for issuing a danger warning. The present invention can help drivers safely complete merging operations, thereby improving vehicle driving safety and traffic efficiency.

The utility model discloses bus driving safety early warning equipment convenient to disassemble and assemble, which comprises a bottom plate, a quick disassembly assembly is arranged on the bottom plate, and an early warning equipment body is arranged on the quick disassembly assembly. When the early warning equipment body is installed on the quick release assembly for use, a driver can adjust a seat front and back before driving a bus, so that the position of the early warning equipment body can be conveniently rotated by utilizing the arrangement of a rotating shaft and an adapter disc, and then the early warning equipment body can adapt to the viewing angle of the driver; through the arrangement of a lead screw, a driving block, a transmission rod, a movable block, a telescopic rod and other structures, after a driver adjusts the seat up and down, the supporting plate can be conveniently adjusted and moved up and down only by manually rotating a handle on the lead screw, so that the height of the early warning equipment body can be just moved to the position suitable for the driver to watch.

The invention relates to the technical field of intelligent cabins, and provides a vehicle screen adjusting method, electronic equipment and a vehicle. A vehicle screen opening instruction is received, user image data is acquired, the user image data is recognized, and user watching data is obtained; acquiring environment information of a vehicle and initial screen parameters, and determining a predicted comfort value according to the environment information, the user fixation data and the initial screen parameters; determining predicted illumination data according to the environment information in response to the condition that the predicted comfort is smaller than a preset comfort threshold; and determining a target screen parameter according to the user fixation data, the predicted comfort value and the predicted illumination data, and adjusting the vehicle screen based on the target screen parameter. Stable display of the vehicle screen in different driving environments is guaranteed, the driving safety of a driver is guaranteed, and the vehicle using experience of a user is improved.

The invention discloses a driver safety air bag assembling structure installed on an automobile steering wheel. The driver safety air bag assembling structure aims at solving the problems that in the prior art, the integration degree is low, assembling is complex, and cost is high. The structure comprises a cover plate, an air bag, a shell, an air generator, a fixing ring, a nut, a horn spring, a key integrally-embedded horn piece, a 12H rubber-coated clamp spring and a 6H rubber-coated clamp spring. The horn piece and the shell are integrally formed, and a contact boss on the edge of the horn piece and a copper contact on the framework form a horn switch. The shell is fixed to the framework in a three-point mode through the 12H rubber-coated clamping spring and the 6H rubber-coated clamping spring, the 12H clamping spring is of an M-shaped bent structure and facilitates elastic deformation, and the 6H clamping spring is of an UL three-dimensional structure and facilitates rapid clamping. The shell and the cover plate are matched through the hanging lugs and the window, and a limiting boss is arranged to prevent the cover plate from sinking. High integration of the horn function and air bag fixing is achieved, and the advantages of being compact in structure, convenient to assemble, reliable in connection and low in cost are achieved.

Computer-implemented systems, methods, and computer-readable media predict motor carrier and driver safety scores by combining published and unpublished data associated with one or more FMCSA safety categories. A safety methodology, such as the FMCSA Safety Measurement System (SMS), is applied to generate data scores that are merged to produce a percentile prediction indicating future compliance performance. Some implementations employ a trained machine-learning model to adjust weighting factors and improve prediction accuracy. Simulated or user-defined data may be entered to perform “what-if” analyses and recalculate predicted percentiles. A graphical user interface displays actual and predicted scores, thresholds, and trend indicators, providing users with insight into safety performance tendencies and potential risk conditions.

The invention relates to the technical field of supply chain coordination management, in particular to a supply chain coordination management system based on big data. Comprising a data acquisition and processing module, a route optimization module and a collaborative decision module, wherein the data acquisition and processing module is used for acquiring supply chain risk data and driver basic safety indexes, constructing a standardized data set according to the data and the indexes, analyzing the standardized data set and outputting driver protection requirements; the route optimization module is used for constructing a supply link route according to the standardized data, and outputting to obtain a preliminary coordination route; the collaborative decision-making module is used for transmitting the preliminary coordination route to a driver and an enterprise, and adjusting the preliminary coordination route through real-time data verification of the driver and the enterprise to obtain a final coordination route; therefore, the line is optimized by collecting the driver safety index, and the line is cooperatively adjusted by the driver and the enterprise, so that the balance between the supply chain transportation safety and efficiency is realized.

This invention relates to the field of vehicle safety technology and discloses a method and device for driver behavior detection based on vehicle body signals. The method includes: acquiring the current vehicle body signals of the driving test vehicle being driven by the driver; determining whether the current vehicle body signals meet the triggering conditions for driving behavior detection based on the current vehicle body signals; when the triggering conditions are met, determining the driving behavior detection operation to be triggered based on the current vehicle body signals and their corresponding triggering conditions; and analyzing the driver's driving behavior under the current vehicle body signals based on the driving behavior detection operation. Therefore, this invention, by employing an automated driver behavior detection scheme, can improve the efficiency and accuracy of driving behavior detection, achieving automatic and real-time detection of driver behavior, reducing the subjectivity and error of manual intervention, thereby contributing to improved driver safety.

The embodiment of the invention provides a vehicle-mounted screen adjusting method and device, equipment, a vehicle and a storage medium. The method comprises the following steps: determining a sight direction of a driver in a vehicle and a glare incidence direction of an environment where a vehicle-mounted screen in the vehicle is located; determining a target screen parameter of the vehicle-mounted screen according to an included angle between the sight line direction and the glare incidence direction; and adjusting the vehicle-mounted screen according to the target screen parameter. The method can restrain the problem of screen glare and ensure the driving safety of a driver.

This application relates to a tire foreign object puncture detection alarm method, device, vehicle, and storage medium. The method includes: acquiring the vehicle's current speed; and when the current speed is greater than a first preset speed and at least one tire emits a sound at a preset frequency, controlling the corresponding tire's foreign object detection camera to perform foreign object detection. If it is a sunny day, the detection time of the corresponding tire's foreign object detection camera is controlled to be less than or equal to a first preset time; if it is a rainy day, the detection time of the corresponding tire is controlled to be less than or equal to a second preset time, thereby obtaining a first detection result; if the first detection result is abnormal, the foreign object is displayed and an alarm is triggered. Therefore, by controlling the detection time of the foreign object detection camera in conjunction with weather conditions, the problem of inaccurate detection of foreign objects in tires and difficulty in determining the specific location of detected foreign objects is solved by existing detection technologies, thus improving driver safety.