3531results about "Signalling/lighting devices" patented technology

A driving state monitoring and feedback method and system based on multi-modal human factors intelligent data analysis, and an edge computing terminal device. The method comprises: receiving multi-modal human factors data of a tested driver that is collected in real time (S110); pre-processing the multi-modal human factors data, wherein the pre-processing comprises denoising processing and data normalization processing (S120); sending the pre-processed multi-modal human factors data into a pre-trained first state recognition model, so as to obtain a real-time recognized driver state, wherein driver states include a normal state and abnormal states, and the types of the abnormal states include a plurality of states such as a fatigue state, a distracted state and an angry state (S130); and when it is recognized that the driver state is an abnormal state, generating, for different categories of abnormal states, driving state feedback instructions to a driving intervention system, such that the driving intervention system performs state feedback adjustments on the driver on the basis of the received driving state feedback instructions (S140). The method and system can recognize different driving states of a driver in real time and then perform processing on the basis of different driving states, thereby avoiding the occurrence of traffic accidents.

The invention discloses a long downhill section truck brake pad high temperature detection and cooling method and system, and the method comprises the steps: collecting the surface temperature data of a truck brake pad in real time according to high-precision infrared temperature sensor arrays and thermal imagers disposed at the two sides of a long downhill section, and generating a time-space correlation temperature field distribution diagram; based on the temperature field distribution diagram, dynamically adjusting a temperature safety threshold curve through reinforcement learning, and outputting a dynamic early warning trigger signal; according to the dynamic early warning trigger signal, a corresponding spraying instruction is generated so as to drive a piezoelectric ceramic microvalve array of a roadside spraying device to conduct spraying cooling on the brake pad; and according to the temperature attenuation rate and infrared thermal image feedback data of the brake pad after spraying, the temperature safety threshold curve and the spraying instruction are corrected through a Bayesian optimization algorithm, and closed-loop safety regulation and control are formed. According to the embodiment of the invention, the temperature of the brake pad can be monitored in real time, accurate spraying cooling control is realized, and safe and stable braking performance of a truck is ensured.

The present invention relates to a warning system and in particular to a warning system that is movable to a monitoring zone. The invention has been developed primarily for use for early notification of danger by approaching vehicles to a monitored zone such as an emergency in an emergency lane of a roadway. The warning system of the invention comprises at least two forms of detectors for detecting and tracking vehicles and obtaining characteristics of the tracked vehicle relative to the monitored zone a determinator for receiving the characteristics of the tracked vehicle relative to the monitored zone and assessing the expected relative impact of the vehicle on the monitored zone and an alarm system for providing an alarm action according to a predetermined danger of the assessed expected relative impact of the vehicle to the monitored zone.

The invention provides a vehicle driving control method and device for a backlight scene, equipment and a medium. The method comprises the steps that multi-source information of a target vehicle is acquired in real time; performing fusion calculation on the multi-source information to obtain a current backlight risk index of the target vehicle; determining a driving assistance strategy or an automatic emergency braking strategy based on the backlight risk index; and controlling the target vehicle according to the driving assistance strategy or the automatic emergency braking strategy. According to the vehicle driving control scheme for the backlight scene, the backlight risk index is generated by fusing the multi-source information, the backlight scene is accurately judged, the corresponding driving assistance or automatic emergency braking strategy is formulated, the driving safety and reliability of the vehicle in the complex backlight environment are improved, and the driving safety of the vehicle in the complex backlight environment is improved. The problems that in the prior art, due to dependence on a single sensor in a backlight scene, the target recognition precision is low, a dynamic adaptation mechanism is lacked, and a braking strategy is difficult to pre-judge and adjust in advance are solved.

The invention relates to the field of vehicle intelligent control, in particular to a dynamic target prompting method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a dynamic target and motion data thereof in a vehicle driving environment; then, the driving direction of the vehicle is detected, the motion data is analyzed, a traversing dynamic target with a crossing trend is identified, and potential dangers are locked in advance. And then, detecting whether a collision risk target object exists between the transverse moving target and the transverse moving target based on the reverse driving direction, and if the collision risk target object exists, executing a safety prompt operation on the transverse moving target. Therefore, a set of complete active safety warning mechanism is constructed, other vehicles and pedestrians can timely perceive the danger, compared with the prior art, the system is not in the state of passively waiting for the danger, the safety of the vehicles and the pedestrians in the road environment is greatly improved, and the occurrence probability of traffic accidents is reduced.

The disclosure relates to the system and methods 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.

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.

The invention discloses an online safety management and early warning method for a power battery of an electric vehicle, which comprises the following steps of: acquiring multi-dimensional operation data of the power battery and preprocessing the multi-dimensional operation data to obtain a standardized data set; obtaining a dynamic working condition and a time sequence feature based on the standardized data set, generating a battery state feature set and judging whether the battery state feature set meets a preset condition, and if not, optimizing the battery state feature set to obtain an optimized feature set; constructing a risk assessment model, and combining the optimized feature set to obtain a battery safety risk probability and judge a risk level; if the risk level exceeds a threshold value, obtaining a personalized management strategy generated by the cloud based on the optimized feature set and issuing the personalized management strategy to a vehicle end controller; and fusing vehicle end real-time data and battery aging data through an online learning algorithm, dynamically adjusting risk assessment model parameters, generating an adaptive model, and outputting a graded early warning signal. According to the method, the safety risk of the power battery under the complex working condition is effectively evaluated, and a real-time early warning and personalized management strategy is provided.

The invention discloses an intelligent parking guarding method and system based on a multi-modal large model, and the method comprises the steps: S1, collecting the multi-modal sensing data inside and outside a vehicle, and carrying out the time-space alignment and coordinate mapping of the multi-modal sensing data; s2, performing feature extraction and semantic enhancement processing on the multi-modal perception data to generate visual features, radar features and audio features; s3, inputting the visual features, the radar features and the audio features into a multi-modal large model to output cross-modal joint features; s4, performing target identification detection and behavior intention prediction, and outputting a threat judgment result; and S5, dynamically generating a hierarchical response strategy according to the threat judgment result, and issuing a real-time early warning prevention and control instruction to a vehicle execution mechanism. According to the method, the problem of sensing limitation of a vehicle parking method in the prior art can be solved, and the intelligence and the safety of vehicle parking are improved by integrating multi-source data and by means of the powerful analysis capability of a multi-mode large model and giving an alarm for abnormal behaviors and potential safety threats in time.

The invention discloses a vehicle door and window state monitoring and early warning method and system, and belongs to the technical field of vehicle monitoring. The method comprises the steps that when doors and windows are not closed and a vehicle locking signal is received, the parking environment of a vehicle is graded, and an environment risk index is determined; historical behavior data of a vehicle owner is obtained, behavior modeling is carried out, a parking duration level is determined, screening is carried out in a preset parking duration level table, and a duration risk index is determined; acquiring weather information, and determining a weather risk index based on a screening result of the weather information in a preset weather condition grading table; determining a comprehensive risk value according to the environment risk index, the duration risk index and the weather risk index; and according to the comprehensive risk value, determining an early warning level and pushing early warning information to the user side in a corresponding early warning form. More flexible, accurate and humanized prompts can be provided according to different scenes, user responses and personalized requirements; the problem of low interaction efficiency in the prior art is solved.

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.

A safety system for improving road compatibility of a vehicle includes a monitoring system and an integrated safety domain control unit. The monitoring system includes a vehicle external information monitoring module and a vehicle body posture monitoring module. The integrated safety domain control unit is configured to compute a collision condition between the vehicle and an obstacle based on data acquired by the vehicle external information monitoring module and the vehicle body posture monitoring module, the collision condition including a collision relative speed and a collision overlap rate, and determine, based on the collision relative speed and the collision overlap rate, whether to deploy an external airbag. A determination condition for controlling triggering of deployment of the external airbag includes determining whether the collision relative speed is less than a first speed threshold and / or whether the collision overlap rate is less than a first overlap rate threshold. The present disclosure further relates to a safety apparatus and method for improving road compatibility of a vehicle, and a medium, as well as a vehicle safety system, a vehicle safety apparatus, a method for enhancing safety of a vehicle, and a readable storage medium.

Systems and methods for alerting a driver to a potential driving hazard are disclosed. Hazard parameters representing a driving hazard may be received. The driving hazard may have a corresponding Ground Truth Operation Sequence (GTOS) comprising an ordered sequence of GTOS Designated Meta Operations (DMOs). The corresponding GTOS may be retrieved and instantiated using the hazard parameters. Current driver operation parameters may then be received, and may then be mapped to a GTOS DMO of the ordered sequence of GTOS DMOs. Subsequent driver operation parameters may then be received, and may then be compared to a set of probable subsequent operations associated with the mapped GTOS DMO. It may then be determined that the subsequent driver operation is absent from the set of probable subsequent operations, and an output may be generated for alerting a driver to the driving hazard.

The invention discloses a plateau transportation passenger car passenger health monitoring system and method, the system comprises a multi-source sensing module, a data analysis module and a cooperative control module, the multi-source sensing module collects passenger physiological data and environment information, the data analysis module is connected with the multi-source sensing module, the collected information data are fused, and the cooperative control module is connected with the multi-source sensing module. Constructing a dynamic health risk index; and the cooperative control module is connected with the data analysis module, and controls and adjusts the environment in the passenger car and performs early warning processing according to the dynamic health risk index. Through technologies such as multi-source data fusion, dynamic health assessment and environment cooperative regulation and control, real-time monitoring, accurate early warning and active intervention of passenger health risks in extreme environments such as plateau low oxygen and low pressure are realized, and the health of passengers in plateau transportation is protected.

The invention relates to an automobile obstacle early warning system based on edge calculation. The system comprises a data acquisition module, an edge calculation module and an early warning module which are sequentially connected through a data transmission bus, the data acquisition module is used for acquiring the multi-source data of the surrounding environment of the vehicle acquired by the sensor module; the multi-source data comprises obstacle data, multispectral image data and environment data; the edge calculation module is used for performing fusion calculation on the multi-source data and performing obstacle recognition according to an obstacle recognition model to obtain an obstacle type and a corresponding obstacle danger degree; the early warning module is used for generating a corresponding early warning signal and an early warning execution instruction according to the danger degree of the obstacle; the early warning execution instruction is used for indicating the automobile early warning component to work according to the early warning signal. By adopting the system, the overall early warning response speed can be greatly increased, and the obstacle detection precision in a complex road environment can be greatly improved.

A sensor bar or other array of sensors are mounted to the bus beneath or adjacent to a doorway of the bus. Ultrasonic sensors are located within the sensor bar and detect the presence of foreign objects such as an entrapped passenger close to the doorway. A safety output is generated by the system when an unsafe condition is detected. Examples of safety outputs can include warning sounds, warning lights, automatic door opening, using the brake transmission shift interlock (BTSI) to prevent transmission shifting for vehicle movement, and other safety outputs.

A system may determine, for each frame of a plurality of frames of image data associated with a vehicle, a probability that each frame of the plurality of frames that includes an image of a stop sign is relevant to the vehicle. The system may determine a longest sequence of consecutive frames of the plurality of frames for which the probability satisfies a probability threshold. The system may determine a maximum probability associated with a frame included in the longest sequence of consecutive frames. The system may determine a time window based on a time associated with the frame associated with the maximum probability. The system may determine location data and sensor data for the vehicle based on the time window. The system may determine an occurrence of a stop sign violation based on the location data and the sensor data.

The invention discloses an automobile light state automatic detection system and method. The automobile light state automatic detection system comprises a control module, a sensor module, an image acquisition module and a reminding module, the sensor module is used for detecting operation actions of a driver on a vehicle, the output end of the sensor module is connected to the control module, the image acquisition module is used for acquiring vehicle light image information corresponding to the operation actions of the driver, and the output end of the image acquisition module is connected to the control module; the control module judges whether the vehicle lamp corresponding to the current operation action of the driver is normal or not based on the collected vehicle light image information. The method has the advantages that the lamplight state is detected in an image recognition and logic control mode, the fault state of vehicle lamplight can be effectively detected, meanwhile, cost is low, and operation is convenient.

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.

Provided is a driving support device including: a side sensor configured to detect a target object existing on a lateral side of an own vehicle; and a control device configured to notify a driver of the own vehicle of existence of a target object approaching the own vehicle from the lateral side of the own vehicle when, at a time of entry of the own vehicle into an intersection, the target object exists and the target object is positioned in a notification target region. The notification target region is a region having a strip shape which is included in a road crossing a road on which the own vehicle is traveling or stopped, and which extends from the intersection in an extending direction of the road. The control device is configured to acquire a size of the intersection, and to determine a width of the notification target region in accordance with the size of the intersection.

The invention belongs to the technical field of new energy automobile batteries, and provides a vehicle battery abnormity processing method and device, a storage medium and a vehicle, and the method comprises the steps: if a current battery is in a to-be-alarmed state, determining that a current condition accords with a preset alarm condition of vehicle battery thermal runaway alarm through a vehicle battery abnormity determination strategy, if so, cutting off the current battery high voltage and generating thermal runaway alarm information. Through the processing method, the current battery high voltage is cut off and the thermal runaway alarm information is generated only on the premise that the current condition meets the preset alarm condition of the vehicle battery thermal runaway alarm; therefore, the accuracy of vehicle battery abnormity alarm is greatly improved, the thermal runaway alarm information can be quickly, timely and automatically generated, and the safety of vehicle driving is greatly improved.

The invention belongs to the technical field of vehicle safety, and discloses a vehicle door opening anti-collision early warning method and system. Comprises: acquiring intention analysis data; analyzing the intention analysis data, and identifying the door opening intention of the passenger; obtaining vehicle feature data; predicting a driving track according to the vehicle feature data; the driving track is analyzed, and the collision risk is evaluated; according to the assessment result of the collision risk and the door opening intention, giving a corresponding alarm to the passenger; the vehicle door opening risk can be accurately recognized, the vehicle passengers can be reminded in time, the accident risk caused by the vehicle blind area is reduced, the vehicle door opening safety is improved, and the traffic safety of pedestrians and riders is practically guaranteed.

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 method includes determining a current slew rate associated with a motor of the steering column, determining a speed slew rate associated with the motor, determining a current and speed slew rate threshold for the motor, and determining whether the current slew rate or the speed slew rate indicates a pinch event based on a comparison of the current slew rate, the speed slew rate, and the current and speed slew rate threshold. The method also includes, in response to a determination that at least one of the current slew rate and the speed slew rate indicates a pinch event, selectively instructing the motor to one of stop operation and reverse operation for a calibration period and, in response to the pinch event having a magnitude that is less than a pinch event threshold, selectively instructing the motor to continue operation.

A method for controlling a vehicle train, having a towing vehicle and at least one trailer vehicle. The towing vehicle includes a continuous deceleration device for performing a continuous deceleration. The method includes the steps: determining a trailer mass of the trailer vehicle in the prevailing vehicle configuration of the vehicle train; determining a towing vehicle trailer mass of the towing vehicle in the prevailing vehicle configuration; determining a mass ratio of the prevailing vehicle configuration based on the trailer mass and the towing vehicle mass; and limiting a maximum permissible continuous deceleration power of the continuous deceleration device based on the mass ratio. A driver assistance system is configured to perform the method. A commercial vehicle includes the driver assistance system. A computer program product is configured to perform the method.

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.

A braking system includes drive circuitry configured to communicate a brake signal from a towing vehicle to a towed vehicle connected to the towing vehicle, an output node configured to carry the brake signal, and a switch electrically interposing the drive circuitry and the output node. A current detector is in series with the switch and is configured to detect a current through the drive circuitry. The switch is configured to electrically connect and electrically disconnect the drive circuitry from the output node in response to the current.

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.