1785results about "Signalling/lighting devices" patented technology

Provided are a driving state monitoring and feedback method and system based on multi-modal human-factor intelligent data analysis, and an edge computing terminal device. The method includes: receiving multi-modal human-factor data collected in real time from a tested driver; preprocessing the multi-modal human-factor data; inputting the preprocessed multi-modal human-factor data to a pre-trained first state identification model to obtain a driver state identified in real-time, the driver state including a normal state and a plurality of abnormal states; and generating, in response to the driver state being identified as an abnormal state, a driving state feedback instruction for the category of the abnormal state and sending the driving state feedback instruction to a driving intervention system, to cause the driving intervention system to perform state feedback adjustment on the driver based on the received driving state feedback instruction.

The invention relates to the technical field of vehicles, in particular to an intelligent cabin man-machine cooperative control method and device, a vehicle, a medium and a product. Performing fusion processing on the voice signal data, the visual signal data and the tactile signal data of the current driver by using a preset dynamic weight distribution model to obtain a multi-modal fusion control instruction; and under the condition that the multi-mode fusion control instruction meets a preset sight-voice dual-mode condition, synchronously issuing the multi-mode fusion control instruction to a plurality of target execution devices in the intelligent cabin so as to drive each target execution device to perform cooperative control. Therefore, by constructing a cooperative control mechanism of multi-mode sensing and dynamic weight distribution, the problems that the false wake-up rate is high, the voice and graphical interface cooperative efficiency is low and the interaction mode cannot adapt to a complex driving environment due to a single or separated interaction mode in the related technology are effectively solved.

The invention discloses a vehicle blind area intelligent monitoring early warning and active risk prevention and control system, which comprises a sensing module, a central AI processing unit, an early warning module and an execution control module, and is characterized in that the sensing module is used for collecting vehicle blind area information in a full-dimension manner; the central AI processing unit is used for processing the information acquired by the sensing module, performing risk assessment according to the processed blind area information and the working state of the vehicle, sending an early warning signal to the early warning module, and sending a control signal to the execution control module; the early warning module is used for sending a risk type and grade signal which can be perceived by a driver according to an early warning signal output by the central AI processing unit; and the execution control module is used for outputting control and driving signals according to the control signal sent by the central AI processing unit, so that a corresponding vehicle power device acts, and active risk prevention is realized. The system effectively prevents and controls blind area collision accidents, adapts to various vehicle types such as cars, SUVs, light trucks and heavy trucks, and does not need to redesign a hardware architecture.

The invention relates to the technical field of fault detection and early warning, and discloses a fault alarm strategy execution method for an automobile low-voltage lithium battery, and the method comprises the steps: collecting the operation parameter data of the lithium battery in real time through a battery management system, and enabling the operation parameter data to comprise voltage, current, temperature and environment parameters; lithium battery fault diagnosis processing is carried out based on the operation parameter data, fault judgment result data are generated, and when no fault exists, an alarm command is not output; a dynamic fault risk assessment mechanism is established by fusing multi-source real-time parameters and an AI prediction model, so that the system can recognize a potential fault trend in advance; in combination with a four-level fault grading system and a vehicle state self-adaptive adjustment strategy, it is ensured that a fault judgment result accords with a battery safety threshold value and also gives consideration to the actual driving working condition, the alarm accuracy and timeliness are improved, and user troubles and potential safety hazards caused by false alarm and missing alarm are avoided.

The disclosure relates to a blade transport vehicle, a monitoring system, a monitoring method and an electronic device, the blade transport vehicle comprising: a trailer having a length direction, a width direction and a height direction; the blades are fixed on the trailer through a mounting assembly; the vibration sensor is arranged on the trailer or the installation assembly, the vibration sensor is provided with at least one detection direction, and the at least one detection direction is parallel to at least one of the length direction, the width direction and the height direction of the trailer. According to the technical scheme, the possibility that the blades are damaged can be reduced, and the installation quality of the wind power blades is guaranteed.

A system and method for generating a guidance path for automated navigation of large agricultural equipment. Vehicle path data from leading vehicles can be recorded, stored or inputted into the system for generation of guidance paths offset from the swaths traversed by the leading vehicle. Combines, planters sprayers and other vehicles utilizing guidance system can be used to record leading vehicle data for use by the following vehicle in real time or in subsequent cycles. Enterprise systems can manage multiple grain carts and / or combines or other vehicles to maximize efficiency.

The present disclosure relates to a system configured to enhance the monitoring and control of agricultural equipment, particularly when different tools or implements are attached to an agricultural vehicle such as a tractor. In examples, this system is equipped with sensors that detect changes in the equipment's configuration, such as when implements are swapped or adjusted. Upon recognizing these changes, the system selects an appropriate sensor profile to effectively monitor the tool and the environment surrounding the agricultural vehicle and the agricultural implement. Monitoring the agricultural system allows for real-time adjustments to the vehicle's steering and operational functions, ensuring optimal performance. Additionally, the system alerts the operator if manual intervention is needed and autonomously adapt to new configurations, which may include compensating for wear or misalignment of the implements, according to examples.

The present disclosure relates to a haptic input / output device for recreational vehicles. The disclosed aspects provide dynamic haptic feedback to a vehicle operator depending on a vehicle context and / or the functionality being controlled by the haptic input / output device. In some instances, the haptic input / output device is usable to control a touch-sensitive input device, thereby offering tactile feedback to a vehicle operator when controlling providing input via the touch-sensitive input device accordingly.

The invention provides a vehicle prompting method and device, a vehicle and a storage medium, and is applied to the technical field of intelligent cabins. The method comprises the steps that the use state of a vehicle is obtained, the use state comprises a first state or a second state, the first state is that no driver or passenger exists in the vehicle, and the second state is that the driver or passenger exists in the vehicle; a target monitoring mode is determined from a first monitoring mode and a second monitoring mode according to the use state, the first monitoring mode is an intermittent monitoring mode, and the second monitoring mode is a real-time monitoring mode; the in-vehicle environment quality is monitored based on the target monitoring mode; and when it is judged that the in-vehicle environment quality is abnormal, abnormal prompt information of the in-vehicle environment quality is output, and / or the vehicle is controlled to execute in-vehicle environment purification operation. According to the method, the monitoring modes can be intelligently switched according to different use states of the vehicle, the energy consumption is remarkably reduced on the premise of ensuring effective monitoring of the quality of the environment in the vehicle, and the intelligent level of prompting and the user experience are greatly improved.

The invention provides a control method and a control system for building an independent acoustic space of an automobile cabin, which are applied to the technical field of sound field control of the automobile cabin, and are used for inputting a multi-channel vibration signal acquired in real time into a deep learning noise prediction model to obtain an in-automobile background noise prediction value at a future moment; the prediction noise is filtered by the secondary path estimation model and then is used as a feedforward reference signal for active noise reduction, and the prediction noise and a residual signal collected by a bright area error microphone are jointly used for weight updating of an adaptive filter; the updated filter generates a reverse-phase noise elimination signal and the reverse-phase noise elimination signal is played by a secondary loudspeaker in real time so as to counteract background noise of the bright area; and closed-loop adjustment of the noise reduction effect is formed based on the sound pressure level contrast ratio of the bright and dark areas, so that the independent acoustic space is kept stable in the time-varying environment of vehicle driving. According to the method, the low noise of the bright area and the isolated sound field of the dark area in the vehicle are realized by fusing deep learning noise prediction and active noise control, and the personalized auditory experience in the vehicle can be remarkably improved.

The invention discloses an intelligent cooperative control method and system for an extra-heavy hydrogen energy special vehicle, and belongs to the technical field of new energy vehicles. The method comprises the steps of collecting vehicle state data through a sensor network; based on the state data, adopting a model predictive control (MPC) algorithm to solve an optimal torque and distributing the optimal torque to the distributed driving system; according to the part temperature data, a thermal system is regulated and controlled through a thermal management algorithm TMS; and preprocessing the hydrogen system data, inputting the hydrogen system data into the LSTM model, and outputting leakage probability and positioning to execute multi-stage early warning. The system comprises a central controller, a sensor network and a combined driving system. Through multi-core domain control deep fusion of MPC, TMS and LSTM, global optimization collaboration of multiple groups of high-power hydrogen fuel cells, a high-density high-power energy storage battery pack, a liquid hydrogen storage and safety module, multiple groups of axial flux motor driving systems, a sensing network and central control extra-heavy vehicle parts is realized; and the endurance mileage of the vehicle and the intelligent control heavy load performance in a mine field and a special scene are effectively improved.

A control system of a vehicle detects a close-call vehicle-pedestrian encounter where the vehicle and a nearby object of concern almost collide and cause and accident, collects data for a previous period before the detected close-call vehicle-pedestrian encounter, the collected data including data captured by a set of perception sensors of the vehicle during the previous period, and transmits the collected data to a computing server configured to train a vehicle-pedestrian encounter model based on the collected data. The computing server then receives vehicle information indicative of a current state of the vehicle and executes the trained vehicle-pedestrian encounter model using the vehicle information to predict a future potential vehicle-pedestrian encounter and transmits encounter information indicative of the future potential vehicle-pedestrian encounter to the control system, which selectively generates an alert indicative of the future potential vehicle-pedestrian encounter for a driver of the vehicle.

The invention discloses a transparent chassis display system, method and equipment and a storage medium, and belongs to the technical field of vehicles. In the system, an unmanned aerial vehicle scans a road below a vehicle chassis to respectively obtain a scanning image, first point cloud data and second point cloud data, then a vehicle-mounted terminal generates a transparent chassis view based on the scanning image, the first point cloud data and the second point cloud data, and the transparent chassis view is displayed through a head-up display system. Therefore, the system obtains the road information below the chassis through the unmanned aerial vehicle, compared with a traditional fixedly-installed camera, the unmanned aerial vehicle can switch the posture at any time so as to adjust the shooting angle of the camera, the unmanned aerial vehicle cannot shake along with bumping of the vehicle, image distortion can be avoided, and therefore the road condition below the chassis can be accurately reflected.

An impairment analysis (“IA”) computer system for detecting an impairment is provided. The IA computer system is associated with a host vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) interrogate or otherwise scan a target vehicle by using a plurality of sensors included on a host vehicle to scan the target vehicle and a target driver; (ii) receive sensor data including target driver data and target vehicle condition data; (iii) analyze the sensor data by applying a baseline model to the sensor data; (iv) detect an impairment of the target driver or target vehicle based upon the analysis; and / or (v) output an alert signal to a host vehicle controller, or direct collision preventing actions (such as automatically engage vehicle safety systems), based upon the determination that the target driver or target vehicle is impaired.

A system and method are provided for facilitating safe transport of a work machine. During a transport stage for a work machine, wherein the work machine is positioned for transport with respect to a transport vehicle, a current effective height of the work machine is determined, for example relative to the ground surface. The current effective height may for example be based on a work implement assembly pose determined based on sensed relative positions of the various components. An intervention state for the transport stage may be determined based at least in part on the effective height of the work machine, for example by comparison to a threshold value, which may correspond to a minimum possible effective height for the type of machine. Output signals may be automatically generated to execute a specified intervention in a current transport plan, corresponding to the determined intervention state.

The disclosure relates to a leak detection system for a pneumatic braking system of a vehicle. The pneumatic braking system has a control unit, a pneumatic circuit, and an air tank configured to supply pneumatic pressure to the pneumatic circuit. The pneumatic circuit has a plurality of valves configured to be individually controlled by the control unit. The link detection system includes program code configured, when executed by a processor, to individually control the valves of the pneumatic circuit so as to isolate a sub-circuit of the pneumatic circuit. The leak detection module is configured to monitor a pressure in the pneumatic circuit for leaks, wherein the leak detection module detects a leak in the sub-circuit if the pressure decreases while the sub-circuit is isolated.

A driver assistance system for a vehicle, the driver assistance system comprising a camera mounted on the vehicle and configured to capture one or more images inside and / or outside of the vehicle, and a processing unit, wherein the camera has a defined field of view (FOV), the camera comprises an optical lens that causes a distortion of the captured images, the processing unit is configured to perform distortion compensation on the images captured by the camera, wherein a pixel density in the resulting compensated images is increased in defined areas of the image due to the distortion, and the defined areas of increased pixel density in the compensated images correspond to a region of interest (ROI) within the image, wherein the ROI is smaller than the FOV of the camera.

The invention discloses a blind area early warning method based on an electronic rearview mirror and a related device, and the method comprises the steps: obtaining an original image in at least one preset collection direction through image collection equipment, and carrying out the preprocessing of the original image, and obtaining a target image; determining a target early warning area in the target image according to the running state of the vehicle; classifying reference moving objects in the target early warning area to obtain a classification result; determining a distance measurement range of the reference moving object according to the classification result; screening the reference moving objects according to the distance measurement range to obtain a target moving object; determining a target risk level of the target moving object; and performing early warning on the vehicle according to the target risk level, and marking the target moving object and the target risk level on the target image displayed on the display screen. According to the invention, the accuracy and reliability of blind area early warning can be improved.

An alerting system that, when a risk indicator indicating a risk of a vehicle departing from a lane falls in a predetermined value range, executes a notification at a predetermined conspicuousness level to a driver of the vehicle via an HMI device; decides on a notification parameter set including parameters defining a notification output timing and the conspicuousness level; records presence or absence of a reactive behavior of the driver to the notification executed using the notification parameter set; records reaction information in which a reaction ratio, which is a ratio of the number of the notifications to which the reactive behavior occurs to the number of the notifications executed, is associated with each of the different notification parameter sets; and calculates and decides on, based on the reaction information, an optimal parameter set with which the reaction ratio is estimated to become the highest.

A vehicle collision detection system includes one or more processors configured to receive data from one or more sensors coupled to a vehicle and to analyze the data to detect a collision at the vehicle. In response to the collision at the vehicle, the one or more processors are configured to provide control signals to activate one or more cameras coupled to the vehicle to obtain one or more images of an environment surrounding the vehicle.

The invention discloses a multi-dimensional seat safety monitoring control system and method.The system comprises a multi-sensor module, a seat safety controller and an alarm module which are sequentially arranged, and the multi-sensor module is used for collecting seat safety multi-dimensional data of all seats in a vehicle through multiple sensors; the seat safety controller is used for carrying out data fusion on the seat safety multi-dimensional data to obtain a seat state result, sending an early warning instruction to the alarm module according to the seat state result, and adjusting an airbag detonation parameter according to the seat state result, and the early warning instruction is a multi-level early warning instruction matched with the seat state result; the alarm module is used for giving an alarm in response to the early warning instruction. According to the multi-dimensional seat safety monitoring control system and method, the monitoring accuracy is improved, accurate identification of passenger identities, safety belt compliance tying and sitting posture states is achieved through multi-sensor fusion, misjudgment is avoided, the monitoring accuracy is improved, and the risk of false triggering of safety air bags is reduced.

The invention discloses an integrated abnormal signal detection system for a fuel cell vehicle, and the system comprises a sensor module which collects and outputs the pressure, temperature and hydrogen concentration data of a fuel cell system in real time; the detection module receives data of the sensor module, compares the data with a preset threshold value and outputs an abnormal signal to the main control system; the main control system triggers the sound-light alarm system according to the abnormal signal and sends the fault data to the vehicle-mounted controller; the sound-light alarm system responds to an instruction of the main control system to execute buzzer alarm and LED light alarm; the vehicle-mounted controller is used for controlling the front-end switch valve according to the fault data so as to adjust the pressure or the temperature; the power supply input module supplies power to all the modules of the system; and the power supply conversion module is used for converting the power supply input voltage into working voltage required by the detection module and the main control system. The system effectively solves the problems of insufficient power supply protection, signal distortion and alarm delay of a traditional system, and has the advantages of improving power supply reliability, guaranteeing signal integrity and realizing emergency response timeliness.

A commercial vehicle rear brake lamp fault diagnosis method and system and a storage medium, and the method comprises the steps: determining the change characteristics of the working current of each brake lamp along with the working temperature based on the working current and working temperature of each brake lamp collected in real time; the load type of each brake lamp is determined according to the change characteristics; the load type comprises a halogen bulb and an LED module; presetting a plurality of diagnosis parameters and acquiring parameter values of the diagnosis parameters in real time; based on a preset weight coefficient of each diagnosis parameter, performing weighted fusion calculation on each parameter value to obtain a fault confidence coefficient of each brake lamp; and performing real-time fault diagnosis on each brake lamp according to each parameter value of each brake lamp and the fault confidence in combination with a diagnosis strategy corresponding to the load type of each brake lamp. The technical problem that the fault misjudgment rate is high under complex working conditions due to the fact that a preset mode is mainly adopted in the prior art, the load class of the rear brake lamp of the trailer is configured with a fixed diagnosis threshold value, and fault judgment is carried out only depending on a single parameter is solved.

The present invention relates to a blind spot display device for construction equipment including a detector provided in the construction equipment to detect an object around the construction equipment; a display provided in front of eyes of a driver of the construction equipment; a gaze tracker tracking a direction of a gaze of the driver; and a controller acquiring information from the detector and the gaze tracker and analyzing information on a direction consistent with the gaze of the driver, wherein the controller displays a marker for the object included in the direction of the gaze of the driver on the display.

The invention discloses a vehicle multi-azimuth sound box sound early warning system and method, and belongs to the technical field of vehicle safety assistance. The system comprises an environment sensing module, a host, a central control screen and a multidirectional sound source early warning module, the host comprises a signal processing module, a sound field control module and a man-machine interaction interface module, and the environment sensing module is connected to the multidirectional sound source early warning module through the signal processing module and the sound field control module in sequence; the central control screen is connected with the man-machine interaction interface module; the man-machine interaction interface module is connected with the signal processing module and the sound field control module. According to the invention, dynamic early warning based on the risk direction and the urgency degree is realized, and the vehicle driving safety is effectively enhanced.

The invention discloses a reminding method and system for a vehicle-mounted intelligent memo, and belongs to the technical field of automotive electronics, and the method comprises the steps: receiving memo content input by a user through a voice input module; automatically extracting position information, time information and associated user information in the memorandum content; based on the position information, the time information and the associated user information, whether the memorandum content meets important item judgment conditions or not is judged; determining a reminding strategy according to the judgment result; and executing the reminding strategy. According to the method and the system, active voice input of the user is combined with intelligent analysis, so that the problems of insufficient convenience, insufficient timeliness, insufficient accuracy and poor user experience in the prior art are solved, value-added services such as precise item classification reminding, family member collaborative reminding and tourism item intelligent generation strategy are realized, and the user experience is improved. The accuracy, the convenience, the intelligence and the safety of the vehicle-mounted memorandum are remarkably improved, meanwhile, the operation safety in the driving process is ensured, and important items are prevented from being missed.

The utility model discloses a high-performance polytetrafluoroethylene ventilation assembly which comprises a ventilation circular ring, flow guide holes which correspond to each other are formed in the periphery and the bottom of the ventilation circular ring, a connecting rod is arranged in the middle of the ventilation circular ring, threads are arranged on the surface of the connecting rod, a sealing circular cover is arranged on the top of the connecting rod, and a protection flange which extends downwards is arranged on the periphery of the sealing circular cover. A connecting ring extending downwards is arranged at the bottom of the breathable ring, a breathable ring is arranged on the connecting ring, a polytetrafluoroethylene breathable film layer is arranged on the lower side of the breathable ring, and a sealing ring is arranged at the bottom of the breathable ring. The ventilation circular ring is arranged, so that air exchange between the automobile lamp and the outside is accelerated; by arranging a sealing round cover and a protective flange, the breathable circular ring is greatly protected, and water vapor is prevented from entering the automobile lamp; by arranging the ventilation ring, water vapor is further prevented from entering the automobile lamp, and the service life of the automobile lamp is greatly prolonged.

The invention discloses a vehicle monitoring method and device based on multi-modal fusion perception. The method comprises the steps that when it is monitored that a vehicle enters a locked state, the pressure change of a seat in the vehicle or the micro-motion characteristic of a detained object in the vehicle is collected; when the pressure change or the micro-motion feature meets an event triggering condition, triggering equipment in the vehicle to start, and collecting image feature information and audio feature information of the retained object; obtaining time-frequency spectrum feature information; processing the three kinds of information by using a feature fusion model to obtain joint reliability; when the joint reliability is higher than a reliability threshold, generating an emergency processing strategy; and according to the emergency processing strategy, the vehicle is triggered to conduct air exchange or ventilation operation. According to the invention, the technical problem of accidents caused by high temperature or oxygen deficit and the like in the vehicle due to the fact that a single sensing mode of a vehicle monitoring system in the related technology is difficult to effectively detect whether life bodies are retained in the vehicle in a vehicle locking state and an emergency processing strategy cannot be taken in time is solved.

A moving body capable of carrying an occupant includes a drive device for moving the moving body, a control device for controlling the drive device, a detection device for acquiring a situation on at least a moving direction side of the moving body, a first operator that is provided on an armrest of the moving body, in which the control device automatically generates a target trajectory for the moving body to change the moving direction on the basis of the acquired situation on the moving direction side in response to an operation performed on the first operator to instruct either a left or right direction, and controls the drive device so that the moving body moves along the target trajectory.

The present disclosure is directed at an Advanced Driver Assistant System, ADAS, for vehicles configured to detect a potentially dangerous object inside a vehicle, the system comprising at least one sensor unit, a processing unit, and an output unit, wherein the sensor unit is configured to monitor at least a part of the interior of the vehicle and to transmit acquired sensor data to the processing unit, and wherein the processing unit is configured to analyze the transmitted sensor data, detect, based on the analyzed sensor data, an object inside the vehicle, classify the detected object as a potentially dangerous object, and trigger the output unit to issue a warning in case the detected object is classified as a potentially dangerous object.