124 results about "Night driving" patented technology

The invention provides a scene adaptive projection vehicle lamp system based on deep reinforcement learning and a control method, and relates to the technical field of intelligent vehicle lamps and automatic driving perception systems. Comprising a multi-modal sensing module, a feature fusion module, a strategy generation module and an execution module. The multi-mode sensing module is used for collecting environment state data and performing primary processing to form an environment data information flow; the feature fusion module is used for generating a unified environment feature vector for the environment data information flow; the strategy generation module is used for receiving the environment feature vector and generating a vehicle lamp adjustment strategy through multi-layer neural network calculation; evaluating a result obtained by executing the vehicle lamp adjustment strategy based on the vehicle lamp, and optimizing strategy parameters of the strategy network based on a PPO algorithm; the execution module is used for controlling the vehicle lamp according to the vehicle lamp adjustment strategy output by the strategy network. The intelligent level of the vehicle lamp is remarkably improved, and the system is widely applied to night driving assistance, urban interaction prompt and low-visibility driving scenes.

A night vehicle detection method based on an optimized YOLOv11 model comprises the steps that a data set comprises a night target detection data set in a BDD100K automatic driving data set and night driving pictures collected by a user, the night target detection data set and the night driving pictures are divided into a training data set and a verification data set, and resolution adjustment is conducted on all the images in the data set; sPDConv is introduced into the feature extraction module to replace step convolution and a dynamic mask Monte Carlo attention mechanism (DM-MCAttn), a large kernel selection module (LSKBlock) and a parallel patch sensing module (PPABlock) are integrated in the feature fusion module, layered offset Dysample and BiFPN are introduced, the structure of a detection head is optimized, a lightweight H-MBConv module is adopted to reduce the parameter quantity, and the detection efficiency is improved. And finally, constructing an optimized YOLOv11 night vehicle detection network model for training, and verifying the optimized YOLOv11 night vehicle detection network model by using an image in the verification data set to finally achieve the purpose of vehicle detection. According to the method, the vehicle detection network can obtain better performance under the condition that the parameter quantity is not obviously increased.

The invention, which relates to the technical field of light rail illumination, discloses an anti-glare interference light rail night driving illumination system comprising an environmental data acquisition module, a data preprocessing module, an intelligent analysis decision module, an illumination adjustment execution module and a feedback monitoring module. Through cooperative work of the environment data acquisition module, the data preprocessing module, the intelligent analysis and decision module, the illumination adjustment execution module and the feedback monitoring module, comprehensive perception and intelligent adjustment of the light rail night driving environment are realized, especially in the aspect of glare interference, the system can accurately identify a glare area, and the glare interference is reduced. The brightness, the color temperature and the light color of the lighting system are automatically adjusted, interference of glare on vision of a driver is effectively avoided, the risk of traffic accidents is reduced, meanwhile, the system can flexibly adjust lighting strategies according to different weather conditions and different driving road sections, it is ensured that the light rail can keep good lighting effects in different environments, and the lighting effect is good. And the safety of night driving is improved.

The invention discloses a night driving low-illumination image glare suppression method, and relates to the technical field of image processing, and the method comprises the following steps: collecting a night road scene and a glare image, and fusing the night road scene and the glare image to generate a data set; according to the method, an improved Uform network structure is adopted, efficient sampling is achieved through a deep separable convolution and pixel rearrangement (Pixel Shuffle) module, and local details and structure information are extracted by means of local context awareness (LCAWin-Transform); a glare area is accurately positioned through a gating position attention module in combination with position codes and context information; and adopting background loss, glare loss and reconstruction loss to jointly train the network, recovering background details and predicting glare. The problem of glare interference caused by a strong light source under the complex illumination condition at night can be effectively solved, the image definition and perception reliability are remarkably improved in an intelligent driving assistance system, driving safety is guaranteed, and the method has good engineering practical value and popularization prospects.

The invention discloses a motorcycle self-adaptive vehicle lamp system based on an inertial element, and relates to the technical field of self-adaptive vehicle lamps, the system comprises an inertial sensing module, a vehicle lamp angle control module, a brightness adjusting module and a single chip microcomputer control unit; the inertia sensing module obtains the roll angle delta phi of a vehicle body, the y-axis acceleration and the vehicle speed through a gyroscope and a speed sensor. The vehicle lamp angle control module drives a vehicle lamp to rotate around an x axis and a y axis by using double steering engines, and dynamically adjusts the light axis of the vehicle lamp; the brightness adjusting module senses the environment illumination intensity by means of a light sensor and linearly adjusts the vehicle lamp brightness; the single-chip microcomputer control unit integrates inertia sensing data and illumination data and outputs a steering engine control signal and a brightness adjusting signal, self-adaptive adjustment of the motorcycle lamp along with the posture of a motorcycle body and ambient illumination is achieved, and the safety and the illumination effect of the motorcycle during night driving are improved.

A lens with microstructures comprises a first refraction area and a second refraction area, the first refraction area is provided with a first light-emitting surface, the second refraction area is provided with a second light-emitting surface, the first light-emitting surface and the second light-emitting surface adopt different structural designs, the first light-emitting surface is provided with a plurality of first microstructures, and the second light-emitting surface is provided with a plurality of second microstructures. The plurality of first microstructures are arranged in a matrix on the first light-emitting surface, each first microstructure is provided with a first micro-surface, and the first micro-surface is a plane, a concave surface or a convex surface with a curvature radius different from that of the first light-emitting surface. On the premise of ensuring that the light pattern has the obvious cut-off line, the light color of the first refraction area is fully mixed, the edge of the light pattern is more fuzzy, and the edge of the light pattern has no obvious yellow light, so that long-time driving is more comfortable, fatigue of long-distance driving is avoided, the obvious cut-off line can prevent the eyes of a driver of an opposite coming vehicle from being directly irradiated during normal driving, and the driving safety is improved. And driving at night is safer.

The invention discloses an optimization method for a pixel type headlamp, and the method comprises the steps: optimizing the starting of an ADB function of the pixel type headlamp through limiting an effective recognition region of the ADB function; the method comprises the following steps: judging whether a vehicle is driven on a non-straight road by analyzing the driving condition of the vehicle, and compensating and optimizing the prediction angle of a pixel type headlamp ADB when the vehicle is driven on the non-straight road; whether a vehicle is in severe weather is judged by analyzing the driving environment of the vehicle, and when the vehicle is in the severe weather, the distance light type and the distance light type of the pixel type headlamp are optimized; and whether pedestrians exist or not is recognized, and when the pedestrians exist, the distance light type and the distance light type of the pixel type headlamp are optimized. According to the method, an effective target can be accurately recognized, according to the corresponding relation between the pixel type headlamp module and the ADB matrix control information, the LED angle brightness change of the corresponding partition of the high beam of the vehicle is adjusted in real time, visual dazzling caused by intersection of the high beam to a driver when the vehicle runs at the medium-high vehicle speed is reduced or even avoided, and the safety of night driving is guaranteed.

The invention discloses an ADB headlamp networking system based on intelligent sensing and a control method. The ADB headlamp networking system comprises a sensing layer, a network layer, a decision-making layer and an execution layer. The sensing layer collects vehicle surrounding environment data through a multi-mode sensor group, and outputs a structured sensing result after fusion processing of a sensing processing unit; the network layer realizes information interaction between a vehicle and surrounding vehicles, roadside infrastructures and a cloud platform, and performs encryption and identity authentication on transmission data; after the decision-making layer receives the related information, a control instruction of an ADB headlamp is generated through rule matching, reinforcement learning optimization and multi-vehicle collaborative decision-making; and the execution layer adjusts light according to the control instruction and feeds back an execution state to the decision layer to form closed-loop control. The control method comprises the steps of environment perception, networking interaction, intelligent decision making and execution feedback, multi-mode intelligent perception, networking information interaction and multi-vehicle cooperative illumination are achieved, lamplight can be dynamically adjusted according to different scenes, and the safety and comfort of vehicle night driving are improved.

The invention belongs to the technical field of vehicle risk assessment, and discloses a vehicle accident risk prediction method and device, a storage medium and computer equipment. The method comprises the following steps: acquiring operation parameters of a plurality of vehicles, including load data, operation road type, gradient data, vehicle speed, driving behavior data, night driving time proportion, active safety configuration data, operation weather data, accident frequency and fault frequency; determining a plurality of risk assessment features; taking the risk assessment features as a training set, training a random forest model, and taking the random forest model as an accident risk prediction model when the performance of the random forest model reaches a preset requirement; and inputting the risk assessment features of the to-be-predicted vehicle into the accident risk prediction model, obtaining a survival function output by multiple trees of the accident risk prediction model, and determining the accident occurrence probability of the to-be-predicted vehicle within a preset duration according to the survival function. And the accident risk of the vehicle can be accurately predicted by using the multi-dimensional operation data of the vehicle.

The invention provides an automobile lamp self-adaptive adjusting method and system based on machine vision, and belongs to the technical field of automobile lighting and intelligent visual recognition. The method comprises the following steps: acquiring an environment image in front of a vehicle through a vehicle-mounted camera, and preprocessing the acquired environment image; performing target detection and semantic segmentation on the preprocessed image based on a deep learning model, and identifying targets and road structures at least including vehicles, pedestrians and lane lines; generating a corresponding illumination control strategy according to the identification result and the current state information of the vehicle; and according to the illumination control strategy, an LED matrix lamp group is controlled to carry out partition illumination adjustment, and self-adaptive control over the light beam shape, the brightness and the illumination range is achieved. According to the invention, accurate identification of multiple targets such as vehicles, pedestrians, road structures and the like can be realized, the light beam distribution is dynamically adjusted according to a real-time scene, and the safety and comfort of night driving are remarkably improved.

The application provides a point of interest recommendation method and device, electronic equipment and computer readable storage medium, wherein the method comprises: in response to an instruction of starting a map application, if a target user is currently in a night driving state, first preference information of a user type to which the target user belongs is called; according to current environment information of the target user and historical environment information of other users of the user type to which the target user belongs, the other users of the user type are clustered, second preference information of other users similar to the target user is determined based on the first preference information; first candidate places are determined according to the second preference information and current location information of the target user; in response to a search instruction of a user, second candidate places are determined according to the first candidate places corresponding to the search instruction; accurate target places meeting preset requirements are screened out from the second candidate places according to current time information; and related information of the accurate target places is output. The method improves the calculation speed.

The present invention relates to the control technology of automotive headlights, and particularly to a headlight system based on Micro LED technology and its control method, including a body control module, an ADAS module, a CAN transceiver, a left - MCU micro - control unit - 1, a left - MCU micro - control unit - 2, a left - LED driver chip, a left - Micro LED light source chip - 1, a left - Micro LED light source chip - 2, a right - MCU micro - control unit - 1, a right - MCU micro - control unit - 2, a right - LED driver chip, a right - Micro LED light source chip - 1, and a right - Micro LED light source chip - 2; the body control module and the ADAS module are respectively connected to the left - MCU micro - control unit - 1, the left - MCU micro - control unit - 2, the right - MCU micro - control unit - 1, and the right - MCU micro - control unit - 2 through the CAN transceiver for signal connection. The left - MCU micro - control unit - 1 supplies power to the left - Micro LED light source chip - 1 and the left - Micro LED light source chip - 2 through the left - LED driver chip respectively, which can realize the intelligent and precise control of automotive headlights, prevent dazzling the driver of the vehicle ahead, and improve the safety of night driving.

The invention discloses an intelligent vehicle lamp illumination system and a control method thereof. The intelligent vehicle lamp illumination system comprises a lens, an LED lamp panel and a reflective bowl. The LED lamp further comprises a reflecting part, the reflecting part is arranged on the front portion of the LED lamp panel, the tail end of the reflecting bowl covers the reflecting part, the reflecting part is provided with a plurality of reflecting groove holes distributed in an array mode, the reflecting groove holes penetrate through the reflecting part, one ends of the reflecting groove holes correspond to lamp beads on the LED lamp panel, four arc-shaped faces are arranged in the reflecting groove holes, and each arc-shaped face is in a wavy texture shape. The illumination intensity and range are improved through the light reflecting groove holes in the light reflecting piece, a powerful light source can be well provided for the self-adaptive illumination system, and the light and shade area contrast of the illumination light type is more obvious; according to the control method, the defects of an existing self-adaptive lighting system can be optimized and overcome, the performance of adjusting the light and dark areas of the light pattern of the self-adaptive lighting system is improved, and a stable lighting scheme is provided for night driving.

The utility model discloses a motorcycle projection lamp which comprises a projection lamp module, a connecting module and a signal control module, the projection lamp module comprises an outer shell, a heat dissipation support and a plurality of MLA projection modules, the heat dissipation support is provided with a plurality of installation planes, the horizontal projection included angle of every two adjacent installation planes is a, and the horizontal projection included angle of every two adjacent installation planes is a. The plurality of MLA projection modules are respectively installed on the plurality of installation planes, the projection included angle between the adjacent MLA projection modules is a, the shell sleeves the outer sides of the heat dissipation support and the MLA projection modules, the shell is provided with a plurality of transparent windows, and projection light of the MLA projection modules can pass through the transparent windows; the projection lamp of the motorcycle can project pictures on the ground, the effect of increasing the ground width during night driving is achieved, the steering indication function is added, meanwhile, the multiple MLA projection modules are adopted, included angle projection arrangement is conducted, two picture patterns in the front and back of a motorcycle body are achieved, and large-size patterns from the motorcycle body to the ground are achieved.

The utility model discloses a binocular night vision goggles for protecting objective lenses, which relates to the technical field of night vision devices and comprises a goggles bracket, night vision goggles and objective lens sheaths. And the night vision goggles are rotationally connected to the lower part of the goggle frame and provided with objective lenses at one end and eyepieces at the other end. The objective lens sheath is clamped and fixed outside the objective lens, and a light reducing lens is arranged in the objective lens sheath, so that the objective lens is prevented from being damaged by strong light, and testing and internal state observation are not hindered. The objective lens sheath is composed of an end cover, a clamping ring, a support, a through hole and a light reducing lens, the end cover is provided with a sliding groove and a clamping groove to stably clamp the objective lens, the clamping ring is fixed outside the night vision goggles, the support is n-shaped to avoid the convex portion of the objective lens, and the through hole facilitates observation and testing. According to the night vision goggles, the durability and the use safety are improved, the maintenance and test process is simplified, and the night vision goggles are suitable for various scenes such as military, law enforcement, outdoor exploration and night driving.

The utility model relates to a rotating handle and steering lamp mounting structure, which belongs to the technical field of electric bicycles and comprises a steering handle, rotating handles are mounted at two ends of the steering handle, steering lamp supports are mounted on the two rotating handles, and steering lamps are mounted on the steering lamp supports. The steering handle comprises a holding handle and a limiting shell arranged on one side of the holding handle, the limiting shell is provided with a fixing shell through screws, the steering lamp is installed on the steering handle by being connected with the steering lamp support, and therefore a novel steering lamp installation structure is formed, and the problem that the distance between the steering lamps is insufficient is solved; the steering lamp support adopts a stamping part, and is simple in structure, high in strength and low in manufacturing cost; according to the rotating handle, the anti-deflection fixing pin is arranged, the fixing mode of a steering lamp can be improved through the structure, the safety performance of night driving is improved, and the product quality can be greatly improved.

Disclosed are methods and apparatus that use specially tinted eyeglasses that may be used to block or diffuse light from the headlights of oncoming traffic or trailing traffic reflected in side mirrors, while also allowing the wearer to see dark areas outside and inside the vehicle. Lenses are provided that have shading on the left and / or right sides of each lens leaving a large unshaded or clear vertical area in the middle of each lens, running from the top of each lens to the bottom. In use, when a driver or passenger wearing the eyeglasses while traveling at night or in the dark encounters bright light from oncoming traffic, or bright light reflected in side mirrors, they may turn their head slightly to the left or to the right in order to use the left and / or right shaded areas of the lenses to reduce or block the light, and are still able to see dark areas outside and inside the vehicle through the unshaded central area.

The invention discloses an ADB vehicle lamp double-area cooperative control method and system based on the Internet of Vehicles, and relates to the technical field of intelligent networked vehicle self-adaptive light cooperative control, and the method comprises the steps: building an Internet of Vehicles information fusion mechanism, fusing the obtained vehicle information with the data collected by A vehicle equipment, forming an environment perception data set, and carrying out the recognition of the environment perception data set; dividing a road on the basis of an environment perception data set formed after fusion, secondarily obtaining real-time state information of the vehicle A and vehicles except the vehicle A on the basis of an illumination control rule algorithm and an illumination control rule algorithm on the basis of the illumination control rule, judging the divided areas of the road, and completing ADB vehicle lamp double-area cooperative control. According to the method, the sensing range is effectively expanded, the adaptability in a complex traffic scene is enhanced, the system response speed and the calculation efficiency are improved, linkage adjustment of lighting strategies of the vehicle and other vehicles is achieved, the night driving safety and comfort are improved, and the method has good application prospects and popularization value.

The invention belongs to the technical field of vehicle insurance assessment, and discloses a vehicle operation risk assessment method and device, computer equipment and a storage medium. An accident record of a to-be-evaluated vehicle and driving behavior characteristic data of a driver are acquired, and the driving behavior characteristic data comprise bad driving behavior frequency, night driving duration, fatigue driving duration, load data, speed data and dangerous driving behavior frequency; determining a plurality of risk evaluation parameters based on an accident record and the driving behavior characteristic data; determining the risk level of each risk evaluation parameter according to a preset risk level division standard; and inputting the risk evaluation parameters and the corresponding risk levels into a risk evaluation model to obtain an estimated operation risk value of the to-be-evaluated vehicle, the risk evaluation model being constructed based on a dendritic cell algorithm. And the operation risk of the heavy-duty truck can be estimated more accurately.

The present invention discloses an adaptive curve auxiliary lighting system, which includes a smart device, an image processor, a headlamp controller, a stepping motor, and a GPS signal receiver. The smart device is connected to the image processor via Bluetooth; the image processor is connected to the headlamp controller via a CAN bus; the headlamp controller is connected to the stepping motor via an SPI bus; the image processor is connected to the GPS signal receiver via a signal line. By collecting the image information of the road ahead and obtaining the map information of the navigation map APP in the smart device, before the vehicle enters a curve, the stepping motor is controlled in advance to adjust the irradiation angle of the headlamp. While enabling the driver to obtain better night driving illumination, the relevant curve position information sent by the GPS signal receiver is stored through a memory storage unit. In special weather conditions such as rain, fog, and heavy snow, when both the image processor and the smartphone cannot be used, adaptive curve auxiliary lighting is provided for frequently traveled sections.

The invention discloses an intelligent visual protection method, device and equipment for relieving glare of a vehicle high beam and a storage medium, and relates to the technical field of new energy automobiles, and the intelligent visual protection method comprises the steps that vehicle front image information and vehicle relative motion information are obtained; on the basis of the image information in front of the vehicle, point-shaped intense light sources exceeding a predefined light field intensity threshold value are recognized, and point-shaped intense light source information is determined; predicting a projection protection area of a corresponding point-shaped intense light source on a transparent component of the vehicle based on the point-shaped intense light source information and the vehicle relative motion information, and determining projection protection area information; and controlling at least one matrix type dimming unit in a vehicle transparent component to adjust the light transmittance based on the projection protection area information. According to the method and the device, the point-shaped strong light source exceeding the threshold value is identified, the projection area on the vehicle transparent component is predicted, and the corresponding matrix dimming unit is controlled to adjust the light transmittance, so that glare is dynamically shielded, precise visual protection is realized, and the night driving safety is improved.

This invention discloses a method, apparatus, device, and storage medium for controlling vehicle headlight brightness. The method includes the following steps: determining the required total brightness change of the headlights on both sides of the vehicle based on the target brightness difference between the two headlights; determining the brightness adjustment ratio of the two headlights based on the target brightness difference and the total brightness change; calculating a first adjustment amount of the brightness of the two headlights according to the brightness adjustment ratio and the total current limit of the headlight system; correcting the first adjustment amount based on the calculated brightness scaling ratio to obtain a second adjustment amount of the brightness of the two headlights; and updating the current brightness of the two headlights based on the previous brightness value of the two headlights and the second adjustment amount, so as to control the two headlights to gradually change synchronously to their respective target brightness. This application can effectively avoid the glare problem caused by sudden brightness changes and significantly improve the safety and visual comfort of night driving.

The utility model relates to the field of motor vehicle driving lamps, in particular to a motor vehicle auxiliary driving lamp capable of changing light patterns by replacing a lens, which comprises a front cover, a front cover fixing screw arranged at the upper end of the front cover is connected with a lamp body shell through threads, and a light source driving plate is arranged on the inner surface of the lamp body shell. Light source driving plate fixing screws are arranged on the surface of the light source driving plate and are connected to the lamp body shell through threads, a silica gel line tail is arranged on the surface of the rear end of the lamp body shell, a power input line is arranged in the silica gel line tail, a condensation reflection cup is installed on the surface of the light source driving plate, and an optical lens is installed on the upper end face of the condensation reflection cup. According to the utility model, the replaceable optical lens is additionally arranged in front of the reflection cup of the main optical piece, and meanwhile, a plurality of optical lenses with different light types are arranged, so that a user can change the optical lens according to the actual use requirement to realize the desired light type and light color, and the requirements of the user on the light type and the color of the light can be met under any environment and weather conditions. The lamp can be used as an auxiliary driving lamp, the actual use range of the lamp is widened, and the lamplight experience feeling of night driving is improved.

The invention relates to the technical field of self-adaptive headlamp systems, in particular to a self-adaptive headlamp control system based on a Vision Transform and a vehicle. The invention discloses an adaptive headlamp control system based on a Vision Transform. The adaptive headlamp control system comprises an input module, an output module and a control module, wherein the input module is used for acquiring road images and vehicle dynamic parameters; the preprocessing module is used for partitioning and denoising the image, and synchronizing and filtering sensor data; the feature extraction module is used for extracting global visual features through a multi-head self-attention mechanism of a Vision Transform; the multi-modal data fusion module performs weighted fusion on the visual features and the dynamic parameters of the vehicle; the decision generation module calculates vehicle lamp direction, range and brightness parameters according to the fusion features; the output module adjusts the vehicle lamp state through the execution mechanism. And the feedback module optimizes the control strategy in real time. According to the system, through the global perception capability of the Vision Transform and multi-modal data fusion, accurate and adaptive light control is realized, and the night driving safety is significantly improved.

The present application provides a kind of vehicle headlamp device, which can reduce the fatigue of driver when driving at night;The present application has left light unit (2L), right light unit (2R) and control device (3) to the front of vehicle and irradiate high beam light distribution pattern (HP);Control device (3) controls left light unit (2L), right light unit (2R) based on the data of shading range (A1) obtained in vehicle camera device (4), forms shading range (A1) in high beam light distribution pattern (HP), and forms bright-dark transition range (A2) in the 4 edges of the whole periphery of shading range (A1);Therefore, according to the present application, when driving at night, the fatigue of driver can be reduced.

The utility model belongs to the technical field of road safety facilities, and relates to a road night three-dimensional sight induction system which comprises linear induction marks, solar spikes and a transverse self-luminous road surface. The multiple linear induction marks are continuously distributed on one side of a road in the driving direction. A plurality of solar spikes are arranged on the two sides of the road and the middle line of the road at intervals in the driving direction; the transverse self-luminous pavement is laid on the cross section of the road in the direction perpendicular to the driving direction. By arranging the linear induction marks, the solar spikes and the transverse self-luminous road surface, continuous three-dimensional induction can be carried out on sight lines in the driving direction and the vertical direction, the induction effect is improved, and the safety of night driving is enhanced.

The invention provides an intelligent night driving safety early warning and auxiliary lighting device, and relates to the technical field of highway facilities. The bottom end of the main supporting column is installed on the inner side of the top of the embedded base in an embedded mode, and eight locking clamping blocks in two sets are installed in the embedded base in a sliding mode. Four mounting frames in a front group and a rear group are welded between the two main supporting columns, seven protective rods are mounted between the two groups of mounting frames through bolts, and a rubber sleeve is mounted on the outer side of each protective rod; a shading plate is further installed between the two main supporting columns. An auxiliary lighting lamp strip is mounted at the tops of the two mounting frames located on the upper portion. After the device is installed, the overall stability is higher, it is guaranteed that a vehicle is blocked, it can be guaranteed that a driver finds a warning area in time at night, traffic accidents are avoided, the protection rod can be independently detached and replaced when damaged and deformed, the later maintenance cost is reduced, and the influence of light glare on the vision of the driver can be reduced.

The present invention discloses an isolation device for an asphalt road surface, which includes a bearing bracket, support legs, guide rails, guide seats and a drive assembly; an inner cavity is provided in the guide seat, and a self-luminous assembly is arranged in the inner cavity. The self-luminous assembly includes a lamp board, and light-emitting LED lights are welded on the lamp board. A locking assembly, a circuit board and a power supply are arranged in the inner cavity. The present invention has the following advantages and effects: a self-luminous function is added to the isolation device to improve the safety of night driving, and at the same time, the lamp board also has the advantages of being convenient for disassembly and installation.

The application provides a high beam adaptive control method, system, device and medium, relates to the technical field of vehicle lighting control, and the method comprises the following steps: acquiring the driving environment of a target vehicle, and generating a first light scheme of a high beam; in combination with the first vehicle feature of the target vehicle and the second vehicle feature of an oncoming vehicle, and the distance between the target vehicle and the oncoming vehicle, generating an adjustment index of the high beam, adjusting the first light scheme according to the adjustment index, and generating a second light scheme; in combination with the driving time length of the driver of the target vehicle, the blink frequency of the driver and the pupil change rate, generating a visual fatigue parameter of the driver, calculating the light sensitivity coefficient of the driver according to the visual fatigue parameter; in combination with the visual fatigue parameter and the driving environment, generating a driving risk coefficient, and in combination with the driving risk coefficient and the light sensitivity coefficient, adjusting the second light scheme to generate a target light scheme. The application has the technical effect that the safety of night driving is ensured.