3880 results about "Light control" patented technology

An intelligent traffic management device for optimizing traffic flow at one or more intersections using reinforcement learning, comprising: a central control unit housed in a weatherproof enclosure and mounted on a structural support near an intersection; a sensor interface operatively connected to a variety of multimodal sensors, including at least radar-based vehicle detectors, inductive loop sensors embedded in the road surface, infrared pedestrian detection detectors, and high-resolution optical imaging modules; a powerful embedded computing unit consisting of a multi-core processor and a GPU configured for on-device inference; a reinforcement learning engine embedded in the computing unit, comprising a deep reinforcement learning model trained to map environmental states defined by traffic-related sensor inputs to optimized action policies for traffic light control; a signal actuation module electrically connected to traffic signal controllers, with action policies outputting signal phase durations and transitions in real time; a communications module supporting wireless connectivity and configured for device-to-device communication and cloud synchronization; a policy synchronization module configured to perform federated learning-based updates of model parameters by exchanging gradient weights or distilled traffic state vectors with neighboring intelligent traffic management devices deployed in a traffic network; where the reinforcement learning engine continuously observes traffic state vectors consisting of vehicle counts, average speeds, queue lengths, and pedestrian activity, and dynamically updates the policy to maximize cumulative traffic throughput and minimize average delay.

The invention relates to a light control method and system based on AI model analysis, and the method comprises the steps: obtaining environment illumination data of a target scene and user interaction input, and carrying out the semantic demand analysis, and obtaining semantic description information; performing illumination demand analysis on the semantic description information through a pre-trained light driving model to obtain illumination demand parameters; performing light field demand analysis on the illumination demand parameters according to the environment illumination data and the user interaction input, and generating light field control information; and acquiring power load data, performing instruction construction on the light field control information, and generating a light control instruction. According to the invention, dynamic self-adaptive regulation and control of the light environment can be realized, and the limitation that the existing method only depends on static compensation and cannot adapt to complex scene changes is overcome.

The invention provides a highway tunnel intelligent illumination control method and system, and the method comprises the steps: collecting a real-time perception data set of a plurality of monitoring nodes in a target tunnel, covering a light source operation parameter, an illumination intensity parameter and an environment state parameter sequence, carrying out the feature extraction of the real-time perception data set, and carrying out the feature extraction of the real-time perception data set; generating a global feature set including light source operation stability, regional illumination coordination and environmental coupling influence features, and then inputting the global feature set into a preset dynamic decision model for strategy decision to obtain a multi-stage illumination regulation and control strategy set covering different regions, including target brightness, dimming time sequence and equipment cooperation parameters; and finally, generating an executable instruction set according to the multi-stage illumination regulation strategy set, issuing the executable instruction set to each partition illumination control terminal, and triggering adaptive dimming of the illumination equipment, thereby realizing intelligent management and control of tunnel illumination, improving an energy-saving effect and illumination quality, and ensuring driving safety.

The invention relates to the technical field of intelligent control, and discloses a vehicle-mounted atmosphere lamp control method and system based on environmental perception. The method comprises the following steps: acquiring in-vehicle image data and vehicle-mounted sensor data, and inputting the data into a double-branch Mama information fusion module for feature extraction and fusion processing to obtain a fusion feature map; performing situation recognition and analysis on the fused feature map to obtain a driving situation feature vector and a situation incidence matrix; according to the driving situation feature vector and the situation incidence matrix, vehicle-mounted atmosphere lamp parameters are decoupled, and decoupled illumination parameters are obtained; and performing situation self-adaptive lighting regulation and control and dynamic situation weighted loss calculation on the decoupled lighting parameters and the driving situation feature vectors to obtain target lighting control parameters. According to the invention, the problem of unbalanced illumination requirements in different driving scenes is solved, and the adjustment of the vehicle-mounted atmosphere lamp is more accurate.

The invention provides a traffic participant behavior analysis-based edge calculation signal lamp control method and system, and the method comprises the steps: obtaining video stream data of a target intersection, carrying out the frame-by-frame behavior state analysis of the video stream data through a spatial-temporal feature coding network, extracting the behavior state features of each traffic participant, and carrying out the analysis of the behavior state features of each traffic participant; and inputting the behavior state characteristics into a preset behavior matching model, generating a behavior triggering identifier of the traffic participant in the current time window, generating a signal lamp control instruction of an edge computing node according to the time sequence relevance between the behavior triggering identifier and the phase state of the current signal lamp, and sending the signal lamp control instruction to the edge computing node. And finally, a signal lamp phase switching time sequence of the target intersection is adjusted based on the signal lamp control instruction, so that the traffic participants meeting the traffic rule conflict condition obtain the traffic priority under the signal lamp phase switching time sequence. According to the method, the traffic accident risk is reduced, and meanwhile, the overall traffic efficiency of the intersection is optimized by dynamically adjusting the minimum response period and the phase duration parameters.

The invention relates to the technical field of intelligent control, and discloses a light control method and system, a controller and a storage medium, and the method comprises the steps: collecting ambient light, human traffic and user preference data through multi-sensor fusion; after normalization processing, inputting a reinforcement learning model to dynamically calculate target brightness and color temperature, and generating a control instruction to adjust a lamp; and optimizing model parameters in combination with user feedback. The system integrates a data acquisition module, an intelligent processing module, a regulation and control execution module and a feedback optimization module to form a closed-loop control chain. The controller supports PWM dimming and a DMX512 protocol, an emergency module is arranged in the controller, and illumination is maintained according to a historical mean value when communication is interrupted. Through high-precision environment perception calibration, a multi-target dynamic dimming strategy, an intelligent closed-loop learning mechanism and a distributed fault-tolerant control system, the long-standing core problems of light sensation drift, strategy adaptation stiffness, strong cold start dependence, poor cluster stability and the like in the field of intelligent illumination are systematically solved.

The invention relates to a tunnel illumination control method considering visual adaptability of a driver, and belongs to the technical field of tunnel illumination control, and the method comprises the following steps: S1, employing a volume scattering point location method to obtain visual adaptability parameters of visual adaptation states of all segments in a tunnel; s2, dynamically constructing a predictive visual adaptation model of the driver group based on the visual adaptation parameters, and outputting expected visual states of the drivers according to the predictive visual adaptation model; s3, according to the expected visual state, a parameter control mechanism is adopted to control target illumination parameters of all the sections of the tunnel; s4, according to the target lighting parameters, the working state of lighting equipment in a corresponding section in the tunnel is regulated and controlled, so that the light environment in the tunnel is matched with the dynamic visual adaptability of a driver, and safe visual guidance is achieved; the method has the beneficial effects that the target illumination parameters of all the sections of the tunnel are controlled by adopting a parameter control mechanism according to the expected visual state according to the target illumination parameters.

The invention discloses a UV illumination control method and system for a reel-to-reel exposure machine. The method comprises the following steps: acquiring a real-time moving speed and a tension change value of a coiled material; when the tension change value is greater than the tension threshold value, predicting the deformation trend of the surface of the coiled material based on a nonlinear regression algorithm in combination with the real-time moving speed to obtain a deformation influence value; according to the deformation influence value, a PID control algorithm is adopted to adjust the UV light source, and a light intensity distribution value is obtained; according to the light intensity distribution value, a fuzzy control algorithm is adopted to calculate the output intensity requirement of the UV light source, and speed adjustment is carried out in combination with the real-time moving speed, so that optimized irradiation parameters are obtained; performing area judgment according to the optimized irradiation parameters to obtain an overexposure area and an underexposure area; and adjusting the intensity and distribution of the UV light source in the overexposure area and the underexposure area until the area exposure quality reaches a preset standard range. The method can realize real-time response regulation and control on tension and speed change of the coiled material, and solves the problem of non-uniform exposure dose.

The invention relates to the field of illumination control, and discloses a regional illumination control method and system, and the method comprises the steps: obtaining the equipment state information, illumination intensity and personnel image information of each sub-region of a target region; the sub-regions are determined based on the building layout and function purpose division of the target region; identifying a personnel activity type and a personnel position based on the personnel image data; obtaining a static illumination demand of each sub-region of the target region; the static illumination demand comprises a brightness value and a color temperature; inputting the personnel position, the personnel activity type, the illumination intensity and the static illumination demand of each sub-region into an illumination demand prediction model; the illumination demand prediction model outputs an expected illumination demand of each sub-region; and generating a lighting control strategy for an optimization target based on the expected lighting demand of each sub-region in combination with the lighting comfort and the service life of the lighting equipment. The method has the following effect that the light requirements of people in different activity scenes are met.

The embodiment of the invention relates to the technical field of lighting control, and provides a lighting control method and device, equipment and a storage medium, and the method comprises the steps: obtaining environment perception data and physiological influence data; generating an energy efficiency distribution strategy according to the environmental perception data through a metabolism decision branch; optimizing the control weight of each lighting node through a neural decision branch according to an energy efficiency distribution strategy to obtain a preliminary control strategy; in a virtual simulation environment, performing parameter optimization on the preliminary control strategy through a metabolic path reconstruction unit and a neural topology optimization unit to obtain an optimized control strategy; obtaining an illumination parameter adjustment strategy according to the physiological influence data through the physiological response prediction model; and generating a control instruction through the lighting controller according to the optimized control strategy and the adjustment instruction, and performing corresponding lighting control on the lighting terminal cluster in response to the control instruction. According to the embodiment of the invention, efficient cooperation of metabolic energy efficiency distribution and neural control decision can be realized.

The invention discloses a KTV intelligent light control method and device. The method comprises the following steps: S1, extracting song feature data from a song requesting system, wherein the song feature data comprises low-frequency energy EL, a rhythm feature Tbeat, an emotion label Cemtion and a refrain time point tcorus; s2, generating a light theme template based on the Cemtion and the Tbeat, and setting a switching time point; s3, separating the microphone signal X (t) into a human voice track V (t) and an accompaniment track A (t) through a pre-trained real-time source separation model; s4, adjusting spotlight parameters according to the volume VdB and pitch change rate # imgabs0 # of the human voice track V (t), and driving an atmosphere lamp according to the frequency spectrum of the accompaniment track A (t); s5, acquiring a personnel distribution thermodynamic diagram H (x, y) through an infrared thermal imaging sensor, and acquiring an action amplitude parameter Mlevel through a millimeter wave radar; and S6, fusing personnel distribution and motion amplitude data. According to the invention, KTV intelligent light control can be carried out more intelligently.

The embodiment of the invention discloses a tunnel construction scene traffic scheduling method and system based on intelligent traffic, and the method comprises the steps: obtaining a vehicle state data set of each traffic node in a tunnel construction region, carrying out the dynamic scheduling processing of the vehicle state data set, generating a traffic light control instruction set corresponding to each traffic node, scheduling strategy generation processing is executed according to the traffic light control instruction set, a global traffic scheduling strategy of the tunnel construction area is obtained, and the global traffic scheduling strategy is fed back to a traffic light control system of the tunnel construction area so as to indicate the traffic light control system to execute switching operation of traffic node passing states according to a preset time window. Therefore, the problems of scheduling instruction lagging and low resource utilization rate can be improved.

The invention discloses a multi-scene adaptive stage lighting control method and system and a medium, and relates to the technical field of novel lighting, and the method comprises the steps: obtaining a type parameter and initial environment data of a target stage scene, and obtaining an initial control parameter of a stage lighting system; in the process that the stage lighting system carries out scene light supplement according to the initial control parameters, performance dynamic data are collected in real time, and the adaptive deviation value of the current lighting effect and the scene type parameters is calculated; performing multi-dimensional parameter fusion processing on the adaptation deviation value to obtain a dynamic light adaptation parameter; according to the dynamic light adaptation parameters, calculating a light effect deformation quantity in the current scene, and according to the light effect deformation quantity, synchronously adjusting a projection angle, a color temperature parameter and a light intensity distribution model of the stage light device; the invention provides a stage lighting intelligent control technology which not only can adapt to various performance scenes, but also can improve the lighting control effect.

The invention relates to the technical field of intelligent lamp strips, solves the problem that the light of a fantasy color lamp cannot be finely controlled and managed in the prior art, and provides an intelligent control method and system for an LED fantasy color lamp. The method comprises the following steps: according to a preset contextual model and an initial lamp strip parameter, determining a target lamp strip parameter corresponding to the contextual model; according to the target lamp strip parameters, the lamp strip modules are cut or spliced, the processed lamp strip modules are divided into a plurality of lamp strip sets, and each lamp strip set can be controlled to be lightened by a control unit; and receiving a color control signal and a brightness control signal corresponding to each lamp strip set, and according to the color control signal and the brightness control signal, lightening each lamp strip set through the control unit and presenting the corresponding brightness and color. According to the invention, the problem that refined control and management of light of the fantasy colored lamp cannot be realized in the prior art is solved, and more flexible and more intelligent light control experience is provided.

The invention belongs to the field of illumination light control, and relates to a dynamic tunnel illumination optimization method based on driver visual adaptation characteristics, which comprises the following steps of: establishing a relation model between a driver pupil area and ambient illuminance in a tunnel, and calculating a pupil area change rate according to the driver pupil area; establishing a corresponding relationship among the average glancing speed, the pupil area change rate and the ambient light in the tunnel according to the historical data; constructing a calculation model of the total average illumination of the lamps on the road surface in the tunnel based on the natural illumination outside the tunnel and the average horizontal illumination of the lamps on the road surface; an energy consumption and light pollution objective function and a driver psychological load objective function are established based on parameters such as total average illumination of lamps on a road surface in a tunnel and the length from an entrance or an exit, and multi-source data such as illumination, brightness, lamp power, pupil change rate and glancing speed are deeply fused, so that human-vehicle-environment multi-dimensional collaborative optimization is realized. The driving safety and the visual comfort of a driver are improved, and meanwhile, the energy consumption is considered.

The invention provides a multi-scene-oriented intelligent light adaptive control method and system, and the method comprises the steps: recognizing the current behavior state of a user based on visual sensor data, predicting the behavior state of the user, and outputting a light control behavior tag; combining the behavior label with a scene type and ambient light intensity to generate a target illumination intention vector; according to the target illumination intention vector, in combination with an illumination control conflict situation, real-time lamp parameters and user space state data, calculating an illumination weight of each lamp to a user, distributing brightness and color temperature parameters, and in combination with the target dimming process duration, generating a lamp control parameter set; and converting the lamp control parameter set into a dimming instruction sequence, performing time synchronization and delay compensation, and issuing the dimming instruction sequence to each lamp for execution. According to the method, accurate mapping from behavior intention to physical illumination is realized, and the method has extremely high universality, deployability and engineering controllability.

A display system 700 comprising a replicator and a light control device 706, 706’. The replicator receives spatially modulated light, waveguides the light between a reflective surface and a transmissi

The invention discloses a tunnel entrance dynamic light and signal control system based on a visual algorithm, relates to the technical field of intelligent manufacturing control, and is used for solving the problem of poor light control when the visual field of a tunnel entrance suddenly changes. According to the method, a dynamic sensing mechanism based on visual feature understanding and multi-strategy linkage is constructed, continuous monitoring and intelligent control over the driving visual adaptation state of the tunnel portal are achieved, multi-dimensional visual features are extracted through image collection and preprocessing, visual risk scores are generated, visual field sudden change and traffic abnormity are recognized in combination with a sliding window, and the driving visual adaptation state of the tunnel portal is obtained. A risk response instruction is output, illumination adjustment and signal linkage control are driven, then vehicle behavior continuity, parking probability and blind area shielding factors are fused, speed limiting, guiding or warning signals are dynamically issued, and visual model fine adjustment and strategy updating are performed based on execution feedback. And finally, illumination and signal adaptive optimization under cross-time and multi-environment conditions is realized in combination with a control scene library, and the traffic safety and control intelligence level are improved.

The invention discloses a pavement disease high-precision identification method and system based on multi-scale feature fusion, relates to the technical field of road inspection multi-source vision and intelligent identification, and is used for solving the problem of realizing stable image acquisition, strong binding supervision and high-precision disease identification under tail-flow speckles and cross-domain disturbance. Three ends of a vehicle, an unmanned aerial vehicle and a ground site are synchronously collected, time and geometric alignment is completed, the vehicle is put in storage in a quaternary binding mode, corridor route lateral overlapping and linear polarization light control are matched, and positioning and posture tracks are recorded; triggering a micro time window frame cluster in a tail-flow speckle scene, collecting shear reciprocal and phase inversion images, constructing convection discrimination and a mask, executing directional line integration and reverse displacement compensation to obtain an image-stabilized image, and performing gating continuous collection by a coherent image-stabilized score; and then standardized cleaning, multi-scale augmentation, semi-automatic labeling and consistency checking are carried out, a multi-scale feature pyramid is constructed, three-path decoding is carried out, cross-domain training and model compression are combined, and a unified result and a rule list are output.

The invention discloses an intelligent situation awareness vehicle-mounted atmosphere lamp control method and system and electronic equipment. The method comprises the following steps: step 1, scene state modeling of multi-source data fusion; step 2, coupling control of the dynamic spectrum and environmental parameters; step 3, generating an emotion-driven light sequence; step 4, dynamically adjusting the noise-coordinated lamplight; step 5, storing and calling personalized parameters; and step 6, optimizing a control strategy of feedback driving. Through multi-source data fusion modeling and comprehensive analysis of the driving scene, the user state and the environmental parameters, the state recognition accuracy is improved, misjudgment is avoided, dynamic spectrum and environmental parameter coupling, emotion driving and noise collaborative light adjustment are achieved, diversified requirements are met, a personalized atmosphere is created, fatigue is relieved, and safety is improved. User parameters can be stored and called, personalized services are enhanced, and more comfortable and convenient driving experience is brought.

A display system includes a replicator and a light control device 1000. The replicator receives spatially modulated light and replicates the light to form multiple replicas by waveguiding between a re

The invention provides a multi-source information fusion automobile light personalized interaction control system and method, and relates to the technical field of automobile intelligent light control. The system comprises a multi-source sensing module, a data preprocessing module, a data analysis processing module and a vehicle lamp driving module. The multi-source sensing module collects multi-source heterogeneous data, after the multi-source heterogeneous data is processed by the data preprocessing module, fusion analysis and intelligent decision are carried out by the data analysis processing module, a control instruction is generated, and finally, the instruction is executed by the vehicle lamp driving module and a state is fed back. According to the invention, the defects of the existing automobile light control technology in the aspects of intelligence, situational and individuation are overcome, the efficient, intelligent and individualized control of the automobile light is realized, and the driving safety, comfort and entertainment are improved.

The invention discloses an underwater LED fish gathering lamp control method based on a light field scattering model, and the method comprises the following steps: obtaining water optical characteristic parameters and environmental parameters of a target water area in real time, and building an underwater light field scattering model through employing a radiation transfer equation in combination with a Monte Carlo simulation method; with improvement of target fish school gathering efficiency and reduction of energy consumption as optimization objectives, environment parameters are taken as constraint conditions, illumination effects under different LED parameter combinations are simulated through a light field scattering model, and LED control parameters with optimal comprehensive performance are determined; a control instruction is generated according to the LED control parameters, and the working state of each LED unit is adjusted; meanwhile, fish school gathering data and current change values of water temperature, salinity and turbidity are monitored in real time and fed back to the light field scattering model for parameter correction, and closed-loop control is formed. The underwater LED fish gathering lamp control method solves the technical problems of low light field distribution prediction precision, insufficient fish school visual matching performance, poor environmental adaptability and unbalanced energy consumption optimization in the existing underwater LED fish gathering lamp control method.

The invention discloses a lamplight simulation test control system for landscape lighting, relates to the technical field of lamplight control, and is used for solving the problem of poor optimization of intelligent lamplight control. Structured time series data are constructed through holiday and festival identification functions, weather states, sunshine information and people flow density, nonlinear mapping is performed after unified sampling and sliding window alignment, and a tensor type input data set is generated; state recursion and context adjustment are carried out by combining a gating circulation unit with a space situation embedding vector, and illumination, color temperature and control level prediction sequences at multiple moments in the future are output; and constructing a control fragment path according to an illumination change trend and a color temperature sign function, collecting current illumination, flow density and an equipment response state to generate deviation information, executing a feedforward and feedback fusion strategy, outputting a control instruction set including the illumination, the color temperature, a lamp on-off state and a mode label, and realizing adaptive and dynamic light control.

The invention discloses a welding process visual real-time monitoring system and method based on a DMD technology, and belongs to the field of welding monitoring, and the system comprises a visual collection module which is used for collecting an image of a welding area in real time; the DMD light supplementing control module is used for dynamically adjusting the light projected to the welding area according to the collected image; the image processing and analyzing module is used for preprocessing the collected image and extracting and analyzing the characteristics of the welding area; the welding process control and planning module is used for extracting a 3D contour of a welding area and planning welding process parameters according to the spatial structure light form change projected by the DMD light supplementing control module; and the control and feedback module is used for adjusting welding parameters in real time according to an analysis result of the image processing and analyzing module and giving an alarm when an abnormality is detected. Light supplement is accurately controlled through the DMD technology, the overexposure phenomenon caused by welding hard light is effectively restrained, a camera can clearly collect detailed information of a welding area, and the welding detection accuracy is improved.

The invention discloses an ultra-large octave wave absorber based on a photoconductive material, and belongs to the field of electromagnetic metasurfaces and metamaterials. Comprising a light response wave-absorbing metasurface and a light driving module capable of projecting different patterns on the surface of the light response wave-absorbing metasurface, array wave-absorbing units of different sizes are obtained on the light response wave-absorbing metasurface by switching the projected patterns, and impedance of a target frequency band is matched by changing equivalent capacitance / inductance of a wave-absorbing unit structure; the light driving module can project a preset light pattern on the light response wave-absorbing metasurface, so that the equivalent impedance distribution of the light response wave-absorbing metasurface is changed; according to the light response wave-absorbing metasurface, the conductivity distribution of the metasurface units is changed through light control, and the wave-absorbing frequency band is adjusted in real time, that is, dynamic adjustment of the wave-absorbing performance is achieved through non-contact light control. According to the invention, the limitation of narrow bandwidth and passive fixation of a traditional wave absorber is broken through, and electromagnetic wave control with ultra-large octave, high absorptivity and real-time reconfigurability is realized.

The invention relates to an unmanned aerial vehicle illumination control method and system based on three-dimensional model data. The method comprises the steps of obtaining three-dimensional model data, environment perception data and flight positioning data, and analyzing a target scene and an unmanned aerial vehicle illumination demand. And based on the data, planning the flight path of the unmanned aerial vehicle, and generating flight path planning data. And in combination with environmental perception information, performing illumination analysis on the main illumination end, calculating main illumination power density distribution and a main illumination angle, and identifying a main illumination blind area. And for the blind area, light supplement analysis is performed by using environmental perception data, and blind area illumination power density distribution and a blind area illumination angle are calculated. And finally, synthesizing the main illumination data and the blind area light supplementing data to generate illumination control information of the unmanned aerial vehicle. By adopting the method, the illumination strategy can be intelligently adjusted under different environmental conditions, the illumination effect, the illumination precision and the illumination uniformity of the unmanned aerial vehicle can be effectively improved, the energy utilization efficiency is also improved, and unnecessary energy consumption is reduced.

The invention relates to the technical field of light control, and discloses a creative and creative light color gradient control method and system, and the method comprises the steps: carrying out the preprocessing of the spatial position information of audiences, generating an audience position sequence, calculating the moving speed, the steering angle and the region density in real time, and generating a light adjustment signal in combination with a preset threshold value; mapping the RGB values to an HSL space to generate an initial color parameter set; adjusting a brightness weight, a hue weight and a saturation weight based on the moving speed, the steering angle and the area density, and updating a color parameter set; generating a gradient sequence through smooth interpolation; sending a control instruction by using a low-delay protocol and monitoring a delay value; and calculating a comprehensive evaluation value according to the rendering effect, iteratively adjusting the weight if the comprehensive evaluation value exceeds the limit, and regenerating a light control instruction. According to the invention, through the technical means of real-time calculation, dynamic weight adjustment, low-delay transmission, deviation feedback and the like, a light control instruction with smooth gradual change is generated, and accurate control of light color gradual change is realized.

The invention discloses a highway tunnel vehicle-mounted lighting system for intelligently measuring and calculating lamp lightening time based on an interval, and relates to the technical field of highway tunnel lighting energy saving. The invention discloses a highway tunnel vehicle-mounted lighting system for intelligently measuring and calculating lamp lightening time based on an interval. The highway tunnel vehicle-mounted lighting system comprises an interval division module, a lighting analysis module and a lighting control module. According to the method, the highway tunnel is subjected to refined interval division, vehicle shielding features, identification information and timestamps are combined, vehicle passing key features are dynamically obtained, the illumination path of each vehicle can be accurately predicted, and vehicle-mounted response and on-demand illumination are achieved; and front and back external environment illumination change information is fused, sunlight reflection illumination features are extracted, interference of strong sunlight reflection, entrance and exit light difference and the like on illumination control is eliminated from the source, and the environment adaptability and recognition accuracy of an illumination system are remarkably improved.

The invention discloses a display system and a vehicle. The display system comprises a display assembly and a light control assembly. The display assembly is used for displaying multi-view image information of a target object. The light control assembly is used for transmitting light corresponding to the image information of each visual angle of the display assembly to different preset visual areas, and the visual angles are in one-to-one correspondence with the preset visual areas. Therefore, the display system can form images of different visual angles in the air so as to form a suspended three-dimensional image corresponding to the target object in the air. Meanwhile, the visual angle corresponding to the image formed in each preset visual area is the same as the visual angle when the real target object is seen in the preset visual area, so that the image effect seen when the target object image is seen in each visual angle is the same as the image effect seen when the real target object is seen in the visual angle; therefore, it is ensured that the image suspended in the air has real 3D information, the display effect of the target object image is good, and then it is ensured that a user can obtain more real man-machine visual interaction experience.