169 results about "Driver safety" patented technology

A computing system, for automated generation of instructional text for driver safety, executes steps including: 1) accessing predefined datasets of telematic alerts, of predefined alert sequences, and of sequence categories; 2) acquiring one or more alert vectors during driving, each alert associated with a time of occurrence; 3) scanning each of the one or more alert vectors, over multiple time windows, to identify a set of alert sequence occurrences matching alert sequences in the sequence dataset and conforming to predefined time windows; 4) according to the severity of each alert sequence in the identified set of alert sequences, increasing by a proportional amount a priority score of a corresponding sequence category, to generate an aggregate priority score for each sequence category; and 5) providing instructional text associated with said sequential category from a text dataset to the driver.

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.

Computer-implemented motor carrier and driver safety score prediction systems and methods are described.

Driver safety module (10) of a vehicle equipped with a vehicle steering wheel (110) movable between a driving position and a retracted or stowed position, the driver safety module (10) comprising:- a safety airbag (20), inflatable and comprising at least one front portion (21), arranged to deploy from a rest position to a protection position,- a gas generator (30) arranged to inflate the safety airbag (20), characterized in that the driver safety module (10) comprises an adaptive device arranged to adjust an inflation volume of the front portion (21) as a function of the driving position or the retracted or stowed position of the vehicle steering wheel (110). Figure for abstract: Fig. 1

Systems and methods for configuring video conferencing adaptations for a user interface (UI) of a driver's conferencing device based on a driving mode of an autonomous vehicle are described. A mode of operation of the autonomous vehicle when a video conferencing call is or will be in progress is determined. A route taken by the autonomous vehicle may include some segments that allow an autonomous mode of driving while other segments may not. Different adaptations may be configured for the driver and / or non-driver's UI for their conference devices based on the determined mode of operation such that advanced call feature capability may be provided while ensuring driver safety while driving. These adaptations include displaying still images instead of live video of participants, presenting video conferencing scheduling or alert options based on mode of operation, and an option to bookmark a point in the video conference.

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 relates to the field of traffic safety, and relates to a driving behavior big data-driven driver safety awareness assessment and optimization method and device. Driving behavior data is collected through multiple sources such as a vehicle-mounted sensor, after preprocessing and feature extraction, an evaluation model is constructed by utilizing a machine learning algorithm, safety awareness levels are divided according to scores output by the model, personalized suggestions are provided, and regular updating and optimization can be carried out. The device is composed of a data acquisition assembly and the like, can be integrated on a vehicle-mounted system and other platforms, realizes interaction with a driver, and provides real-time evaluation results and improvement suggestions. The driver safety consciousness is evaluated and optimized comprehensively, in real time and in a personalized mode, the method has the advantages of comprehensiveness, real-time performance, personalization, integratability and the like, the traffic safety level can be improved, and the method is suitable for the field of traffic safety management.

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 invention provides a seat parameter optimization method based on driver comfort, and the method comprises the steps: building a driver restraint system finite element model based on a vehicle finite element model, a dummy model, and a pre-built safety belt model, a safety airbag model and a seat model; seat parameters including a seat backrest angle, a seat cushion angle, a seat leg support angle and seat filler rigidity are determined, an orthogonal experiment table with the seat parameters as experiment factors is established, and vehicle collision simulation is carried out based on the orthogonal experiment table and a driver restraint system finite element model to obtain a seat comfort simulation result. And constructing a response surface model of each individual pressure distribution index corresponding to the seat parameters based on the seat comfort simulation result, and performing iterative solution on the response surface models based on the seat comfort simulation result to obtain an optimization result of the seat parameters. By adopting the method and the device, the seat parameters can be optimized, so that the seat comfort is improved on the basis of ensuring the safety of a driver.

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.

Systems and methods for configuring video conferencing adaptations for a user interface (UI) of a driver's conferencing device based on a driving mode of an autonomous vehicle are described. A mode of operation of the autonomous vehicle when a video conferencing call is or will be in progress is determined. A route taken by the autonomous vehicle may include some segments that allow an autonomous mode of driving while other segments may not. Different adaptations may be configured for the driver and / or non-driver's UI for their conference devices based on the determined mode of operation such that advanced call feature capability may be provided while ensuring driver safety while driving. These adaptations include displaying still images instead of live video of participants, presenting video conferencing scheduling or alert options based on mode of operation, and an option to bookmark a point in the video conference.

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.

To fully upgrade driver's safe driving consciousness.SOLUTION: An information provision device includes a controller. The controller acquires video taken by a camera installed in a vehicle which a driver drives. Video captured during a predesignated period and showing the highest degree of driving risk by the driver is selected from among acquired videos. The selected video is displayed on a terminal together with a result of diagnosis conducted on the driver's driving.SELECTED DRAWING: Figure 7

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 relates to an airbag module assembly (14) for mounting on a steering wheel main part (12), having a driver's airbag module (16) which comprises a folded airbag (18), a gas generator (20) for inflating the folded airbag (18) and a module housing (22) for receiving the gas generator (20) and the folded airbag (18), and a vibration absorber unit (24) which comprises a steering wheel mounting plate (26) for fastening the airbag module assembly (14) on the steering wheel main part (12) and at least one resilient damping element (28), wherein the driver's airbag module (16) is screw-connected, riveted or welded to the steering wheel mounting plate (26) via the at least one resilient damping element (28) in a manner capable of vibrating. The invention furthermore also relates to a vehicle steering wheel (10) having such an airbag module assembly (14) and to a method for producing and quality-testing such an airbag module assembly (14).

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.

Systems and methods for configuring video conferencing adaptations for a user interface (UI) of a driver's conferencing device based on a driving mode of an autonomous vehicle are described. A mode of operation of the autonomous vehicle when a video conferencing call is or will be in progress is determined. A route taken by the autonomous vehicle may include some segments that allow an autonomous mode of driving while other segments may not. Different adaptations may be configured for the driver and / or non-driver's UI for their conference devices based on the determined mode of operation such that advanced call feature capability may be provided while ensuring driver safety while driving. These adaptations include displaying still images instead of live video of participants, presenting video conferencing scheduling or alert options based on mode of operation, and an option to bookmark a point in the video conference.

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 utility model relates to a rhombic interchange ramp exit early warning system, which comprises a ground marking induction group arranged in front of an exit ramp shunting point, a vehicle speed warning system arranged at an exit shunting nose point, and an intersection information warning confirmation system arranged at a ramp landing section, the vehicle speed warning system comprises a first power supply, and a radar velocimeter, a single chip microcomputer and a variable information sign which are sequentially arranged along the traffic flow direction; and the intersection information warning confirmation system comprises a second power supply, and an intersection stop line lane information signboard, an infrared laser detection device and a warning marking line at the joint of the elevated section and the ground road landing section which are sequentially arranged along the traffic flow direction. Through a three-level sign system of'guiding, warning and confirming 'arranged at a front exit, more accurate and safer driving guidance is realized, so that the driving requirements of a driver on safe passing and smooth driving-out are met, and the traffic safety of a rhombic interchange exit road section is guaranteed.

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.