CN114916109A - Angle identification method and system for rear position lamp for vehicle capable of uniformly emitting light - Google Patents
Angle identification method and system for rear position lamp for vehicle capable of uniformly emitting light Download PDFInfo
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- CN114916109A CN114916109A CN202210549921.8A CN202210549921A CN114916109A CN 114916109 A CN114916109 A CN 114916109A CN 202210549921 A CN202210549921 A CN 202210549921A CN 114916109 A CN114916109 A CN 114916109A
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention provides an angle identification method and system of a rear position lamp for a uniform luminous vehicle, which relate to the technical field of data processing and comprise the following steps: when the vehicle rear position lamp emits light, acquiring and obtaining multi-dimensional light-emitting information under multiple angles based on multiple angles to obtain multiple light-emitting information sets; acquiring application scene information of a vehicle rear position lamp, and acquiring a corresponding preset light-emitting requirement; analyzing and judging whether the plurality of light-emitting information sets meet the preset light-emitting requirement and the unsatisfied degree according to the application scene information to obtain a plurality of judgment results; constructing a uniform luminescence analysis space, and inputting a plurality of luminescence information sets into the uniform luminescence analysis space to obtain an analysis result; adjusting a plurality of LED lamps in the vehicle rear position lamp according to the plurality of judgment results and the analysis result; the technical effects of improving the light-emitting uniformity of the automobile tail lamp, reminding the surrounding environment of the automobile and reducing traffic accidents are achieved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an angle identification method and system for a rear position lamp for a uniform light-emitting vehicle.
Background
In the modern society, automobiles become indispensable transportation means in people's lives, automobile tail lamps are important components of automobiles, and the automobile tail lamps are signal lamps for transmitting important information such as braking and steering, and are directly related to traffic safety.
With the development of LED technology, more and more position lamps in an automobile begin to be made into bulbs by using LEDs, with the increasing requirements of people on the performance of the automobile, the requirements on the automobile tail lamp in the automobile market are higher and higher, the current design method of the automobile tail lamp is a method of adding a diffusant to an inner lens, but through the use and research discovery of the existing automobile tail lamp, when the tail lamp is watched from different angles, the luminous effect of the automobile tail lamp is different, and some angles even have dark spaces, so that certain hidden dangers are brought to traffic safety.
How to make the vehicle tail lamp look the automobile tail lamp from all angles and can both realize even luminous when using, can not have the dark space and become the technical problem that needs solve at present urgently.
Disclosure of Invention
The application aims at providing an angle identification method and system of a rear position lamp for a uniform light-emitting vehicle, which are used for solving the technical problems that when the vehicle tail lamp is watched from different angles in the prior art, the light-emitting effect of the vehicle tail lamp is different, and dark areas can be generated even in some angles, so that the light-emitting uniformity of the vehicle tail lamp is improved, the surrounding environment of the vehicle is reminded, and the traffic accidents are reduced.
In view of the above, the present application provides a method and a system for identifying an angle of a rear position lamp for a vehicle with uniform light emission.
In a first aspect of the present application, there is provided a method for identifying an angle of a rear position light for a vehicle with uniform light emission, the method being applied to a rear position light system for a vehicle, the system including a rear position light for a vehicle, the rear position light for a vehicle including a plurality of LED lights and an inner lens, the inner lens being disposed on a plurality of light paths on which the LED lights emit light, the method including: when the vehicle rear position lamp system emits light, acquiring and obtaining multi-dimensional light-emitting information under a plurality of angles based on the plurality of angles to obtain a plurality of light-emitting information sets; acquiring application scene information of the vehicle rear position lamp system, and acquiring a corresponding preset light-emitting requirement; analyzing and judging whether the plurality of light-emitting information sets meet the preset light-emitting requirement and the unsatisfied degree according to the application scene information to obtain a plurality of judgment results; constructing a uniform luminescence analysis space, and inputting a plurality of luminescence information sets into the uniform luminescence analysis space to obtain an analysis result; and adjusting the plurality of LED lamps in the vehicle rear position lamp according to the plurality of judgment results and the analysis result.
In a second aspect of the present application, there is provided an angle recognition system for a rear position lamp for a vehicle uniformly emitting light, the system comprising: the first obtaining unit is used for acquiring and obtaining multi-dimensional light-emitting information under a plurality of angles based on the plurality of angles when the vehicle rear position lamp system emits light to obtain a plurality of light-emitting information sets; the second obtaining unit is used for acquiring and obtaining application scene information of the vehicle rear position lamp system and obtaining corresponding preset light-emitting requirements; a first judging unit, configured to analyze and judge whether the plurality of light-emitting information sets satisfy the preset light-emitting requirement and a degree that the plurality of light-emitting information sets do not satisfy the preset light-emitting requirement according to the application scene information, and obtain a plurality of judgment results; the first construction unit is used for constructing a uniform luminescence analysis space, and inputting a plurality of luminescence information sets into the uniform luminescence analysis space to obtain an analysis result; and the first processing unit is used for adjusting the plurality of LED lamps in the vehicle rear position lamp according to the plurality of judgment results and the analysis result.
In a third aspect of the present application, there is provided an angle recognition system for a rear position light for a uniform light emitting vehicle, comprising: a processor coupled to a memory for storing a program that, when executed by the processor, causes a system to perform the steps of the method according to the first aspect.
In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method according to the first aspect.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the angle identification method of the rear position lamp for the uniform light emitting vehicle is applied to a rear position lamp system for the vehicle, the system comprises the rear position lamp for the vehicle, the rear position lamp for the vehicle comprises a plurality of LED lamps and inner lenses, the inner lenses are arranged on light paths of light emitted by the LED lamps, and when the rear position lamp for the vehicle emits light, multi-dimensional light emitting information under a plurality of angles is acquired and obtained based on a plurality of angles, so that a plurality of light emitting information sets are obtained; acquiring application scene information of the vehicle rear position lamp, and acquiring a corresponding preset light-emitting requirement; analyzing and judging whether the plurality of light-emitting information sets meet the preset light-emitting requirement and the unsatisfied degree according to the application scene information to obtain a plurality of judgment results; by acquiring a plurality of luminous information when the vehicle rear position lamp emits light and acquiring application scene information, data dimensionality is increased, and abundant data support is provided for uniformity analysis of the light emission of the vehicle rear position lamp; constructing a uniform luminescence analysis space, and inputting a plurality of luminescence information sets into the uniform luminescence analysis space to obtain an analysis result; and adjusting the plurality of LED lamps in the vehicle rear position lamp according to the plurality of judgment results and the analysis result. The problem of among the prior art when watching automobile tail lamp from different angles, automobile tail lamp's luminous effect can appear differently, the technical problem of dark space can appear even in angle a bit, reach and improve automobile tail lamp luminous homogeneity to remind this car all ring edge borders, reduce the technological effect that the traffic accident took place.
The above description is only an overview of the technical solutions of the present application, and the present application may be implemented in accordance with the content of the description so as to make the technical means of the present application more clearly understood, and the detailed description of the present application will be given below in order to make the above and other objects, features, and advantages of the present application more clearly understood.
Drawings
Fig. 1 is a schematic flow chart of an angle identification method for a rear position lamp for a vehicle with uniform light emission according to the present application;
fig. 2 is a schematic structural view of a rear position light for a vehicle according to a first embodiment of the present application;
fig. 3 is a schematic flow chart illustrating obtaining application scene information in the method for identifying an angle of a rear position light for a uniform light emitting vehicle according to the present application;
fig. 4 is a schematic flow chart illustrating adjustment of the plurality of LED lamps in the rear position light for a vehicle in the method for identifying an angle of the rear position light for a vehicle with uniform light emission according to the present application;
FIG. 5 is a schematic view of an angle recognition system for a rear position light for a vehicle that uniformly illuminates;
fig. 6 is a schematic structural diagram of an exemplary electronic device of the present application.
Description of reference numerals: the LED lamp comprises an outer mask 201, an inner lens 202, a self-tapping screw 203, a PCB 204, an LED lamp 205, a lamp housing 206, a first obtaining unit 11, a second obtaining unit 12, a first judging unit 13, a first constructing unit 14, a first processing unit 15, an electronic device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.
Detailed Description
The application provides an angle identification method and system of a rear position lamp for a uniform light emitting vehicle, and is used for solving the technical problems that when the automobile tail lamp is watched from different angles in the prior art, the light emitting effect of the automobile tail lamp can be different, and dark areas can be generated even in some angles, so that the light emitting uniformity of the automobile tail lamp is improved, the surrounding environment of the automobile is reminded, and traffic accidents are reduced.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the angle identification method of the rear position lamp for the vehicle capable of uniformly emitting light is applied to a rear position lamp system for the vehicle, the system comprises the rear position lamp for the vehicle, the rear position lamp for the vehicle comprises a plurality of LED lamps and an inner lens, the inner lens is arranged on a light emitting path of the LED lamps, and when the rear position lamp for the vehicle emits light, multi-dimensional light emitting information under a plurality of angles is acquired and obtained based on a plurality of angles, so that a plurality of light emitting information sets are obtained; acquiring application scene information of the vehicle rear position lamp, and acquiring a corresponding preset light-emitting requirement; analyzing and judging whether the plurality of light-emitting information sets meet the preset light-emitting requirement and the unsatisfied degree according to the application scene information to obtain a plurality of judgment results; by acquiring a plurality of luminous information when the vehicle rear position lamp emits light and acquiring application scene information, data dimensionality is increased, and abundant data support is provided for uniformity analysis of the light emission of the vehicle rear position lamp; constructing a uniform luminescence analysis space, and inputting a plurality of luminescence information sets into the uniform luminescence analysis space to obtain an analysis result; and adjusting the plurality of LED lamps in the vehicle rear position lamp according to the plurality of judgment results and the analysis result.
Having described the basic principles of the present application, the technical solutions in the present application will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and the present application is not limited to the exemplary embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
Example one
As shown in fig. 1, the present application provides an angle recognition method for a rear position light for a vehicle with uniform light emission, the method is applied to a rear position light system for a vehicle, the system includes a rear position light for a vehicle, the rear position light for a vehicle includes a plurality of LED lights and an inner lens, the inner lens is disposed on a light path where the plurality of LED lights emit light, and the method includes:
s100: when the position lamp system after the vehicle is used for emitting light, acquiring and obtaining multi-dimensional light-emitting information under a plurality of angles based on the plurality of angles to obtain a plurality of light-emitting information sets;
specifically, the method provided in the embodiment of the application is applied to a vehicle rear position lamp system, the system comprises a vehicle rear position lamp, the vehicle rear position lamp comprises a plurality of LED lamps and an inner lens, and the inner lens is arranged on a light path where the plurality of LED lamps emit light. When the vehicle rear position lamp system works in a light emitting mode, multi-dimensional light emitting information collection is carried out on light emitted by the vehicle rear position lamp system from a plurality of angles, and the multi-dimensional light emitting information comprises: the method comprises the steps of obtaining a plurality of light-emitting information sets by utilizing light-emitting information such as luminous flux, illuminance, brightness, solid angle and light intensity, wherein the light-emitting information sets are sets formed by multi-dimensional light-emitting information corresponding to a plurality of angles, each angle in the plurality of angles corresponds to one light-emitting information set, and the obtained light-emitting information sets are utilized to provide a data basis for subsequently judging whether the light-emitting information sets meet preset light-emitting requirements or not.
Exemplarily, as shown in fig. 2, a schematic diagram of a possible structure of the rear position light for a vehicle in the present embodiment is shown. The rear position lamp for a vehicle includes: the LED lamp comprises an outer mask 201, an inner lens 202, a self-tapping screw 203, a PCB 204, an LED lamp 205 and a lamp shell 206; the LED lamp 205 is welded on the PCB 204 through reflow soldering; the inner lens 202 is fixed on the lamp housing 206 by a tapping screw 203; the outer mask 201 and the lamp shell 206 are welded together by ultrasonic wave; the PCB 204 is fixed on the lamp housing 206 by a card slot designed on the lamp housing 206.
S200: acquiring application scene information of the vehicle rear position lamp system, and acquiring a corresponding preset light-emitting requirement;
specifically, the application scene information of the vehicle rear position light system is obtained, and the application scene information may include information such as brightness and road conditions, for example, whether the vehicle rear position light system is frequently used in rural areas or cities, whether the vehicle rear position light system is frequently used at night or in daytime, whether the vehicle rear position light system is frequently used for long distance or short distance, and the corresponding preset light emission requirement is obtained according to the application scene information, and the preset light emission requirement may be determined according to the vehicle rear position light emission requirement corresponding to the historical application scene information. By comprehensively considering the application scene information, the accurate utilization of the vehicle rear position lamp information is improved, and the analysis result of the luminous information set is further improved.
S300: analyzing and judging whether the plurality of light-emitting information sets meet the preset light-emitting requirement and the unsatisfied degree according to the application scene information to obtain a plurality of judgment results;
specifically, the information corresponding to the plurality of light-emitting information sets is compared with a preset light-emitting requirement in combination with the current application scene information, and whether the information corresponding to the plurality of light-emitting information sets meets the preset light-emitting requirement is judged. When the information corresponding to the plurality of light-emitting information sets meets the preset light-emitting requirement, obtaining the degree exceeding the preset light-emitting requirement; and when the information corresponding to the plurality of light-emitting information sets does not meet the preset light-emitting requirement, obtaining the degree of difference with the preset light-emitting requirement and obtaining a plurality of judgment results. Preferably, the degree of exceeding or failing to meet is expressed by percentage, so as to achieve accurate judgment of the lighting information set of the rear position lamp for the vehicle under the condition of combining the application scene information.
S400: constructing a uniform luminescence analysis space, and inputting a plurality of luminescence information sets into the uniform luminescence analysis space to obtain an analysis result;
specifically, a uniform light emission analysis space can be constructed by using the obtained multidimensional light emission information, the uniform light emission analysis space can be a space coordinate system, whether the plurality of light emission information are within a preset range or not is judged by analyzing the plurality of input light emission information, and then the light emission uniformity of the rear position lamp for the vehicle is judged.
S500: and adjusting the plurality of LED lamps in the vehicle rear position lamp according to the plurality of judgment results and the analysis result.
Specifically, according to the judgment result of whether the plurality of light-emitting information sets corresponding to the plurality of angles of the rear position lamp for the vehicle meet the preset light-emitting requirement or not and the plurality of light-emitting information analysis results corresponding to the plurality of angles, the adjustment scheme of the plurality of LED lamps in the rear position lamp for the vehicle is determined, and the technical effect that the rear position lamp for the vehicle can uniformly emit light is achieved.
The angle identification method of the rear position lamp for the vehicle capable of uniformly emitting light is applied to a rear position lamp system for the vehicle, the system comprises the rear position lamp for the vehicle, the rear position lamp for the vehicle comprises a plurality of LED lamps and an inner lens, the inner lens is arranged on a light emitting path of the LED lamps, and when the rear position lamp for the vehicle emits light, multi-dimensional light emitting information under a plurality of angles is acquired and obtained based on a plurality of angles, so that a plurality of light emitting information sets are obtained; acquiring application scene information of the vehicle rear position lamp, and acquiring a corresponding preset light-emitting requirement; analyzing and judging whether the plurality of light-emitting information sets meet the preset light-emitting requirement and the unsatisfied degree according to the application scene information to obtain a plurality of judgment results; by acquiring a plurality of pieces of luminous information when the vehicle rear position lamp emits light and acquiring application scene information, data dimensionality is increased, and abundant data support is provided for uniformity analysis of the light emission of the vehicle rear position lamp; constructing a uniform luminescence analysis space, and inputting a plurality of luminescence information sets into the uniform luminescence analysis space to obtain an analysis result; and adjusting the plurality of LED lamps in the vehicle rear position lamp according to the plurality of judgment results and the analysis result. The problem of among the prior art when watching automobile tail lamp from different angles, automobile tail lamp's luminous effect can appear differently, the technical problem of dark space can appear even in angle a bit, reach and improve automobile tail lamp luminous homogeneity, reach and remind this car all ring edge borders, reduce the technological effect that the traffic accident takes place.
Step S100 in the method provided in the embodiment of the present application includes:
s110: acquiring and obtaining a set of luminous illumination information under a plurality of angles;
s120: acquiring and obtaining a light-emitting display finger information set under a plurality of angles;
s130: acquiring and obtaining a light-emitting solid angle information set under a plurality of angles;
s140: and clustering the light-emitting illumination information set, the light-emitting display information set and the light-emitting solid angle information set one by one according to angles to obtain a plurality of light-emitting information sets.
Specifically, in order to accurately analyze uniformity of the rear position light for the vehicle when emitting light, improve an analysis result, and avoid a situation that an error of the analysis result is large due to a single performance, in the embodiment of the present application, a light-emitting illuminance information set, a light-emitting index information set, and a light-emitting solid angle information set at multiple angles of the rear position light for the vehicle are obtained, and the light-emitting illuminance information set, the light-emitting index information set, and the light-emitting solid angle information set are clustered one by one according to the angles to obtain multiple light-emitting information sets. Each angle in the plurality of light-emitting information sets corresponds to one light-emitting information set, namely each angle corresponds to a set formed by light-emitting illumination information, light-emitting display information and light-emitting solid angle information at the angle.
As shown in fig. 3, step S200 in the method provided in the embodiment of the present application further includes:
s210: acquiring a plurality of different pieces of historical application scene information of the vehicle-mounted position light system in a preset time period, wherein the historical application scene information comprises multi-dimensional scene parameter information;
s220: constructing a scene analysis coordinate system according to the multi-dimensional scene parameter information;
s230: inputting the multi-dimensional scene parameter information of a plurality of historical application scene information into the scene analysis coordinate system to obtain a plurality of first coordinate points;
s240: calculating the distance between every two first coordinate points to obtain a plurality of first Euclidean distances;
s250: clustering every two first coordinate points corresponding to a first Euclidean distance smaller than a first preset Euclidean distance threshold value to obtain a plurality of clustering results;
s260: calculating the areas of a plurality of clustering results to obtain a plurality of area information;
s270: and taking the multi-dimensional scene parameter information range in the clustering result corresponding to the largest area information as the application scene information.
Specifically, in order to obtain application scene information of the rear position lamp for the vehicle, in the embodiment of the application, a plurality of different pieces of historical application scene information of the rear position lamp for the vehicle in a previous preset time period are acquired and obtained, wherein the preset time period can be a time period of weeks, months and the like; the plurality of different historical application scene information are a plurality of historical application scene information in a plurality of preset time periods; wherein the historical application scenario information comprises multi-dimensional scenario parameter information; the multi-dimensional scene parameter information comprises brightness information and road condition information. A two-dimensional coordinate space is constructed by using brightness information and road condition information, the multi-dimensional scene parameter information of the historical application scene information is input into the scene analysis coordinate system, a plurality of first coordinate points are obtained, and each coordinate point is a coordinate point corresponding to the historical application scene information in each preset time period; calculating Euclidean distances between any two coordinate points by using a distance calculation formula between two points in a two-dimensional coordinate system to obtain a plurality of first Euclidean distances, comparing the plurality of first Euclidean distances with a first preset Euclidean distance threshold value, wherein the first preset Euclidean distance threshold value can be determined according to environmental information experience of a use scene of an automobile rear position lamp, clustering two first coordinate points corresponding to the first Euclidean distances smaller than the first preset Euclidean distance threshold value to obtain a plurality of clustering results, each clustering result comprises a plurality of first coordinate points, and a region is formed in a scene analysis coordinate system; calculating the areas of the clustering results by using calculus to obtain a plurality of area information; and taking the multi-dimensional scene parameter information range in the clustering result corresponding to the largest area information as the application scene information, so that the application scene information is taken into consideration when the luminous uniformity of the position lamp after the vehicle is used is analyzed, the accuracy of the luminous uniformity analysis result of the position lamp after the vehicle is used is further improved, and a more reasonable LED lamp adjustment scheme is formulated.
Step S200 in the method provided in the embodiment of the present application further includes:
s201: constructing a light-emitting requirement analysis model based on the artificial neural network model;
s202: acquiring a plurality of pieces of light-emitting requirement information, wherein the plurality of pieces of light-emitting requirement information correspond to the plurality of pieces of historical application scene information one to one;
s203: using a plurality of the lighting requirement information and a plurality of the historical application scene information as a first construction sample;
s204: dividing and identifying the first construction sample according to a preset division rule to obtain a first training sample, a first verification sample and a first test sample;
s205: adopting the first training sample, the first verification sample and the first test sample to carry out supervision training, verification and test on the luminescence requirement analysis model until the accuracy of the luminescence requirement analysis model reaches a preset requirement;
s206: and inputting the application scene information into the lighting requirement analysis model to obtain an output result, wherein the output result comprises the preset lighting requirement.
Specifically, the light emission requirement analysis model is a mathematical logic model constructed based on a neural network model, the Neural Network (NN) is a complex network system formed by widely connecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, is a highly complex nonlinear dynamical learning system, is particularly suitable for processing inaccurate and fuzzy information processing problems needing to consider many factors and conditions at the same time, can be analyzed by using the continuously converging characteristic of mathematical data, and further outputs converged information based on machine learning.
The method comprises the steps of acquiring a plurality of pieces of light-emitting requirement information corresponding to a plurality of pieces of historical application scene information, using the plurality of pieces of light-emitting requirement information and the plurality of pieces of historical application scene information as first construction samples, and dividing and identifying the constructed samples according to preset division rules, for example, the constructed samples can be divided according to the functions of sample data, training samples used for training and adjusting model parameters, verification samples used for verifying model precision and adjusting model parameters, and test samples used for verifying model generalization capability, so as to obtain the first training samples, the first verification samples and the first test samples. In this embodiment, 70% of the samples may be used as a training set, 15% may be used as a verification set, and 15% may be used as a test set; in this embodiment, the first training sample is used to perform supervised training on the lighting requirement analysis model until the output result of the lighting requirement analysis model converges or reaches a preset accuracy, the first verification sample and the first test sample are used to verify and test the lighting requirement analysis model, if the accuracy of the output result of the lighting requirement analysis model reaches a preset requirement, the lighting requirement analysis model is obtained, the application scenario information is input to the lighting requirement analysis model, and an output result is obtained, where the output result includes the preset lighting requirement. The intelligent processing of the data is achieved, the accuracy of the analyzed data is improved, and then an accurate output result is obtained.
Step S400 in the method provided in the embodiment of the present application includes:
s410: constructing a second coordinate system based on the multi-dimensional luminous information;
s420: inputting a plurality of sets of the lighting information into the second coordinate system to obtain a plurality of second coordinate points;
s430: calculating a second Euclidean distance between every two second coordinate points to obtain a plurality of second Euclidean distances;
s440: setting and obtaining a second preset Euclidean distance threshold value according to the uniform light-emitting requirement of the vehicle rear position lamp system;
s450: and respectively judging whether the second Euclidean distances are smaller than a second preset Euclidean distance threshold value or not, if so, acquiring the degree of the second Euclidean distances larger than the second preset Euclidean distance threshold value, and acquiring the analysis result.
Specifically, in order to analyze the light emitting uniformity of the rear position light for the vehicle, in the embodiment of the present application, a second coordinate system is constructed by using the multi-dimensional light emitting information, where the second coordinate system is a three-dimensional coordinate space constructed by using light emitting illuminance information, light emitting display information, and light emitting solid angle information, and a plurality of light emitting information sets corresponding to the rear position light for the vehicle in multiple angles are input into the second coordinate system to obtain a plurality of second coordinate points, where each coordinate point is a light emitting information coordinate point corresponding to each angle; the method comprises the steps of calculating the distance between any two coordinate points by using a distance calculation formula between two points in a three-dimensional coordinate system, obtaining a plurality of second Euclidean distances, comparing the second Euclidean distances with a second preset Euclidean distance threshold value, wherein the second preset Euclidean distance threshold value is the maximum Euclidean distance corresponding to the uniform light-emitting information of different angles, respectively judging whether the plurality of second Euclidean distances are smaller than the second preset Euclidean distance threshold value, if so, indicating that certain angles in the vehicle rear position lamp emit light unevenly, obtaining the degree of the larger degree, if so, indicating that the light-emitting evenness of certain angles meets the requirements, further obtaining an analysis result, and utilizing the analysis result to achieve the purpose of adjusting the conditions that certain angles of the vehicle rear position lamp have dark areas.
As shown in fig. 4, step S500 in the method provided in the embodiment of the present application includes:
s510: constructing a car lamp adjustment analysis model based on an artificial neural network, wherein the car lamp adjustment analysis model comprises an input layer, a light-emitting parameter adjustment network, an angle adjustment network and an output layer;
s520: acquiring a second construction sample, wherein the second construction sample comprises a historical judgment result set and a light-emitting parameter adjustment scheme set;
s530: acquiring a third construction sample, wherein the third construction sample comprises a historical analysis result set and an angle adjustment scheme set;
s540: respectively adopting the second construction sample and the third construction sample to carry out supervision training, verification and testing on the light-emitting parameter adjustment network and the angle adjustment network to obtain the car lamp adjustment analysis model;
s550: inputting a plurality of judgment results and analysis results into the car lamp adjustment analysis model to obtain output results, wherein the output results comprise a light-emitting parameter adjustment scheme and an angle adjustment scheme;
s560: and adjusting the plurality of LED lamps by adopting the light-emitting parameter adjusting scheme and the angle adjusting scheme.
Specifically, establish car light adjustment analysis model based on neural network model, car light adjustment analysis model can utilize the constantly convergent characteristic of mathematical data to carry out the analysis, and then can utilize the constantly convergent characteristic of mathematical data to carry out the analysis based on machine learning output information after the convergence, and then based on machine learning output information after the convergence, in this application embodiment, car light adjustment analysis model includes input layer, luminous parameter adjustment network, angle adjustment network and output layer, and luminous parameter adjustment network and angle adjustment network set up in parallel, the input layer is used for the input of data, and the data of input is continuously handled the iteration through luminous parameter adjustment network, angle adjustment network respectively and is updated, finally obtains the output result through the output layer, namely, luminous parameter adjustment scheme and angle adjustment scheme.
Obtaining a construction sample of the car lamp adjustment analysis model, wherein the construction sample comprises a second construction sample and a third construction sample, the second construction sample comprises a historical judgment result combination and a light-emitting parameter adjustment scheme set, the second construction sample can be set according to the previous debugging experience of the light-emitting parameters of the rear position lamps of the car and is used for training a light-emitting parameter adjustment network, and the historical judgment result is the degree of whether the light-emitting information set meets the preset light-emitting requirement; the third construction sample comprises a historical analysis result set and an angle adjustment scheme set, can be set according to the previous automobile rear position lamp angle debugging experience and is used for training an angle adjustment network, and the second construction sample and the third construction sample are respectively adopted to carry out supervision training, verification and testing on the light-emitting parameter adjustment network and the angle adjustment network so as to obtain the automobile lamp adjustment analysis model; and inputting a plurality of judgment results and analysis results into the car lamp adjustment analysis model to obtain output results, wherein the output results comprise a light-emitting parameter adjustment scheme and an angle adjustment scheme, and the light-emitting parameter adjustment scheme and the angle adjustment scheme are adopted to adjust the plurality of LED lamps, so that the technical effects of improving the light-emitting uniformity of the tail lamp of the car, reminding the surrounding environment of the car and reducing traffic accidents are achieved.
In summary, the embodiment of the present application has at least the following technical effects:
1. the angle identification method of the rear position lamp for the uniform light emitting vehicle is applied to a rear position lamp system for the vehicle, the system comprises the rear position lamp for the vehicle, the rear position lamp for the vehicle comprises a plurality of LED lamps and inner lenses, the inner lenses are arranged on light paths of light emitted by the LED lamps, and when the rear position lamp for the vehicle emits light, multi-dimensional light emitting information under a plurality of angles is acquired and obtained based on a plurality of angles, so that a plurality of light emitting information sets are obtained; acquiring application scene information of the vehicle rear position lamp, and acquiring a corresponding preset light-emitting requirement; analyzing and judging whether the plurality of light-emitting information sets meet the preset light-emitting requirement and the unsatisfied degree according to the application scene information to obtain a plurality of judgment results; constructing a uniform luminescence analysis space, and inputting a plurality of luminescence information sets into the uniform luminescence analysis space to obtain an analysis result; and adjusting the plurality of LED lamps in the vehicle rear position lamp according to the plurality of judgment results and the analysis result. The problem of among the prior art when watching automobile tail lamp from different angles, automobile tail lamp's luminous effect can appear differently, the technical problem of dark space can appear even in angle a bit, reach and improve automobile tail lamp luminous homogeneity to remind this car all ring edge borders, reduce the technological effect that the traffic accident took place.
2. This application is through gathering and using scene information to a plurality of luminous information when position lamp is luminous behind the automobile, has increased the data dimension, for providing abundant data support to the luminous homogeneity analysis of position lamp behind the automobile.
3. This application utilizes KNN classification algorithm to confirm the applied scene information of position lamp after the automobile and the automobile analysis result whether evenly luminous with the position lamp after the automobile, on this basis combine neural network model to establish luminous requirement analytical model and car light adjustment analytical model again, when having solved among the prior art and having watched the automobile tail lamp from different angles through classification algorithm and neural network model's application, the luminous effect of automobile tail lamp can appear differently, the technical problem of dark space can appear even in angle a bit, reach the technological effect who improves automobile tail lamp luminous homogeneity.
Example two
Based on the same inventive concept as the method for identifying the angle of the rear position lamp for the uniform lighting vehicle in the previous embodiment, as shown in fig. 5, the present application provides an angle identification system of the rear position lamp for the uniform lighting vehicle, wherein the system comprises:
the first obtaining unit 11 is configured to, when the vehicle rear position light system emits light, acquire and obtain multi-dimensional light emission information at a plurality of angles based on the plurality of angles, and obtain a plurality of light emission information sets;
a second obtaining unit 12, configured to acquire application scene information of the vehicle rear position light system, and obtain a corresponding preset light-emitting requirement;
a first judging unit 13, configured to analyze and judge whether the plurality of light-emitting information sets meet the preset light-emitting requirement and the unsatisfied degree according to the application scene information, and obtain a plurality of judgment results;
a first constructing unit 14, configured to construct a uniform luminescence analysis space, and input a plurality of sets of luminescence information into the uniform luminescence analysis space to obtain an analysis result;
a first processing unit 15, configured to adjust the plurality of LED lamps in the rear position light for a vehicle according to the plurality of determination results and the analysis result.
Further, the system further comprises:
the third obtaining unit is used for acquiring and obtaining a set of luminous illuminance information under a plurality of angles;
the fourth obtaining unit is used for acquiring and obtaining a light-emitting display information set under a plurality of angles;
a fifth obtaining unit, configured to acquire and obtain a set of light-emitting solid angle information at multiple angles;
and the second processing unit is used for clustering the light-emitting illumination information set, the light-emitting display information set and the light-emitting solid angle information set one by one according to angles to obtain a plurality of light-emitting information sets.
Further, the system further comprises:
the fourth obtaining unit is used for acquiring and obtaining a plurality of different pieces of historical application scene information of the vehicle rear position lamp in a previous preset time period, wherein the historical application scene information comprises multi-dimensional scene parameter information;
the second construction unit is used for constructing a scene analysis coordinate system according to the multi-dimensional scene parameter information;
a third processing unit, configured to input the multi-dimensional scene parameter information of a plurality of pieces of historical application scene information into the scene analysis coordinate system, and obtain a plurality of first coordinate points;
a fourth processing unit, configured to calculate a distance between every two of the first coordinate points, and obtain a plurality of first euclidean distances;
a fifth processing unit, configured to cluster every two first coordinate points corresponding to a first euclidean distance smaller than a first preset euclidean distance threshold, so as to obtain multiple clustering results;
a sixth processing unit, configured to calculate areas of the multiple clustering results, and obtain multiple area information;
a seventh processing unit, configured to use a multidimensional scene parameter information range in a clustering result corresponding to the largest one of the area information as the application scene information.
Further, the system further comprises:
a third construction unit for constructing a light emission requirement analysis model based on an artificial neural network model;
an eighth processing unit, configured to acquire and obtain multiple pieces of lighting requirement information, where the multiple pieces of lighting requirement information correspond to the multiple pieces of historical application scenario information one to one;
a ninth processing unit for taking a plurality of the lighting requirement information and a plurality of the historical application scenario information as a first construction sample;
a tenth processing unit, configured to divide and identify the first constructed sample according to a preset division rule, so as to obtain a first training sample, a first verification sample, and a first test sample;
an eleventh processing unit, configured to perform supervised training, verification, and testing on the lighting requirement analysis model by using the first training sample, the first verification sample, and the first test sample until the accuracy of the lighting requirement analysis model reaches a preset requirement;
a twelfth processing unit, configured to input the application scenario information into the lighting requirement analysis model, and obtain an output result, where the output result includes the preset lighting requirement.
Further, the system further comprises:
a fourth construction unit configured to construct a second coordinate system based on the multi-dimensional light emission information;
a thirteenth processing unit configured to input a plurality of sets of the lighting information into the second coordinate system, obtaining a plurality of second coordinate points;
a fourteenth processing unit, configured to calculate a second euclidean distance between every two second coordinate points, to obtain a plurality of second euclidean distances;
a fifteenth processing unit, configured to set and obtain a second preset euclidean distance threshold according to a uniform light emission requirement of the rear position light for the vehicle;
and a sixteenth processing unit, configured to respectively determine whether the plurality of second euclidean distances are smaller than the second preset euclidean distance threshold, and if so, obtain a degree of the larger than the second preset euclidean distance threshold, and obtain the analysis result.
Further, the system further comprises:
the fifth construction unit is used for constructing a car lamp adjustment analysis model based on an artificial neural network, wherein the car lamp adjustment analysis model comprises an input layer, a light-emitting parameter adjustment network, an angle adjustment network and an output layer;
a fifth obtaining unit, configured to acquire a second construction sample, where the second construction sample includes a historical determination result set and a light-emitting parameter adjustment scheme set;
a sixth obtaining unit, configured to acquire a third construction sample, where the third construction sample includes a historical analysis result set and an angle adjustment scheme set;
a seventeenth processing unit, configured to perform supervised training, verification, and testing on the lighting parameter adjustment network and the angle adjustment network by using the second construction sample and the third construction sample, respectively, to obtain the vehicle lamp adjustment analysis model;
an eighteenth processing unit, configured to input the multiple determination results and the multiple analysis results into the vehicle lamp adjustment analysis model to obtain an output result, where the output result includes a lighting parameter adjustment scheme and an angle adjustment scheme;
a nineteenth processing unit, configured to adjust the plurality of LED lamps by using the lighting parameter adjustment scheme and the angle adjustment scheme.
EXAMPLE III
Based on the same inventive concept as the method for identifying an angle of a uniformly luminous rear position light for a vehicle in the previous embodiment, the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as in the first embodiment.
Exemplary electronic device
The electronic device of the present application is described below with reference to figure 6,
based on the same inventive concept as the method for identifying the angle of the rear position lamp for the uniform lighting vehicle in the foregoing embodiment, the present application also provides an angle identification system of a rear position lamp for a uniform lighting vehicle, comprising: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes the system to perform the steps of the method of embodiment one.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 6, but that does not indicate only one bus or one type of bus.
The communication interface 303 may be any device, such as a transceiver, for communicating with other devices or communication networks, such as an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a wired access network, and the like.
The memory 301 may be, but is not limited to, ROM or other type of static storage device that can store static information and instructions, RAM or other type of dynamic storage device that can store information and instructions, EEPROM, CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute computer-executable instructions stored in the memory 301, so as to implement the method for identifying an angle of a rear position light for a vehicle with uniform light emission provided in the above-mentioned embodiment of the present application.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are for convenience of description and are not intended to limit the scope of this application nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the procedures or functions described in accordance with the present application are generated, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated through the design of a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in this application may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (9)
1. An angle identification method of a rear position lamp for a vehicle capable of uniformly emitting light, which is applied to a rear position lamp system for a vehicle, the system comprising the rear position lamp for the vehicle, the rear position lamp for the vehicle comprising a plurality of LED lamps, the method comprising:
when the vehicle rear position lamp system emits light, acquiring and obtaining multi-dimensional light-emitting information under a plurality of angles based on the plurality of angles to obtain a plurality of light-emitting information sets;
acquiring application scene information of the vehicle rear position lamp system, and acquiring a corresponding preset light-emitting requirement;
analyzing and judging whether the plurality of light-emitting information sets meet the preset light-emitting requirement and the unsatisfied degree according to the application scene information to obtain a plurality of judgment results;
constructing a uniform luminescence analysis space, and inputting a plurality of luminescence information sets into the uniform luminescence analysis space to obtain an analysis result;
and adjusting the plurality of LED lamps in the vehicle rear position lamp according to the plurality of judgment results and the analysis result.
2. The method of claim 1, wherein the collecting obtains multi-dimensional lighting information at a plurality of angles, obtaining a plurality of lighting information sets, comprises:
acquiring and obtaining a set of luminous illumination information under a plurality of angles;
acquiring and obtaining a light-emitting display information set under a plurality of angles;
acquiring and obtaining a light-emitting solid angle information set under a plurality of angles;
and clustering the light-emitting illumination information set, the light-emitting display information set and the light-emitting solid angle information set one by one according to angles to obtain a plurality of light-emitting information sets.
3. The method as claimed in claim 1, wherein the acquiring application scene information of the vehicle rear position light system comprises:
acquiring a plurality of different pieces of historical application scene information of the position lamp system after the vehicle is used in a previous preset time period, wherein the historical application scene information comprises multi-dimensional scene parameter information;
constructing a scene analysis coordinate system according to the multi-dimensional scene parameter information;
inputting the multi-dimensional scene parameter information of the plurality of pieces of application scene information into the scene analysis coordinate system to obtain a plurality of first coordinate points;
calculating the distance between every two first coordinate points to obtain a plurality of first Euclidean distances;
clustering every two first coordinate points corresponding to a first Euclidean distance smaller than a first preset Euclidean distance threshold value to obtain a plurality of clustering results;
calculating the areas of a plurality of clustering results to obtain a plurality of area information;
and taking the multi-dimensional scene parameter information range in the clustering result corresponding to the largest area information as the application scene information.
4. The method according to claim 3, wherein the obtaining the corresponding preset lighting requirement comprises:
constructing a light-emitting requirement analysis model based on the artificial neural network model;
acquiring a plurality of pieces of light-emitting requirement information, wherein the plurality of pieces of light-emitting requirement information correspond to the plurality of pieces of historical application scene information one to one;
using a plurality of the lighting requirement information and a plurality of the historical application scene information as a first construction sample;
dividing and identifying the first construction sample according to a preset division rule to obtain a first training sample, a first verification sample and a first test sample;
adopting the first training sample, the first verification sample and the first test sample to carry out supervision training, verification and test on the luminescence requirement analysis model until the accuracy of the luminescence requirement analysis model reaches a preset requirement;
and inputting the application scene information into the lighting requirement analysis model to obtain an output result, wherein the output result comprises the preset lighting requirement.
5. The method of claim 1, wherein constructing a homogeneous luminescence analysis space into which a plurality of luminescence information sets are input comprises:
constructing a second coordinate system based on the multi-dimensional luminous information;
inputting a plurality of the light-emitting information sets into the second coordinate system to obtain a plurality of second coordinate points;
calculating a second Euclidean distance between every two second coordinate points to obtain a plurality of second Euclidean distances;
setting and obtaining a second preset Euclidean distance threshold value according to the uniform light-emitting requirement of the vehicle rear position lamp system;
and respectively judging whether the second Euclidean distances are smaller than a second preset Euclidean distance threshold value or not, if so, acquiring the degree of the second Euclidean distances larger than the second preset Euclidean distance threshold value, and acquiring the analysis result.
6. The method of claim 5, wherein said adjusting the plurality of LED lights within the post-vehicle position light based on the plurality of determination results and the analysis result comprises:
constructing a car lamp adjustment analysis model based on an artificial neural network, wherein the car lamp adjustment analysis model comprises an input layer, a light-emitting parameter adjustment network, an angle adjustment network and an output layer;
acquiring a second construction sample, wherein the second construction sample comprises a historical judgment result set and a light-emitting parameter adjustment scheme set;
acquiring a third construction sample, wherein the third construction sample comprises a historical analysis result set and an angle adjustment scheme set;
respectively adopting the second construction sample and the third construction sample to carry out supervision training, verification and testing on the light-emitting parameter adjustment network and the angle adjustment network to obtain the car lamp adjustment analysis model;
inputting a plurality of judgment results and analysis results into the car lamp adjustment analysis model to obtain output results, wherein the output results comprise a light-emitting parameter adjustment scheme and an angle adjustment scheme;
and adjusting the plurality of LED lamps by adopting the light-emitting parameter adjusting scheme and the angle adjusting scheme.
7. An angle recognition system for a uniformly illuminated vehicular rear position light, the system comprising:
the first obtaining unit is used for acquiring and obtaining multi-dimensional light-emitting information under a plurality of angles based on the plurality of angles when the vehicle rear position lamp system emits light to obtain a plurality of light-emitting information sets;
the second obtaining unit is used for acquiring and obtaining application scene information of the vehicle rear position lamp system and obtaining a corresponding preset light-emitting requirement;
a first judging unit, configured to analyze and judge whether the plurality of light-emitting information sets satisfy the preset light-emitting requirement and a degree that the plurality of light-emitting information sets do not satisfy the preset light-emitting requirement according to the application scene information, and obtain a plurality of judgment results;
the first construction unit is used for constructing a uniform luminescence analysis space, inputting a plurality of luminescence information sets into the uniform luminescence analysis space and obtaining an analysis result;
and the first processing unit is used for adjusting the plurality of LED lamps in the vehicle rear position lamp according to the plurality of judgment results and the analysis result.
8. An angle recognition system for a uniformly luminous automotive rear position light, comprising: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, characterized in that a computer program is stored on the storage medium, which computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013201132A (en) * | 2011-09-02 | 2013-10-03 | Mitsubishi Chemicals Corp | Lighting method and light-emitting device |
| CN108181952A (en) * | 2017-12-11 | 2018-06-19 | 浙江工业大学 | A kind of illuminance measurement and illuminance intelligent control method based on convolutional neural networks |
| CN108662545A (en) * | 2018-05-16 | 2018-10-16 | 长春众鼎科技有限公司 | Automobile brake lamp brightness control system and its control method |
| CN113033777A (en) * | 2021-03-16 | 2021-06-25 | 同济大学 | Vehicle-mounted atmosphere lamp chromaticity calibration method based on neural network calibration model |
| CN113923839A (en) * | 2021-10-19 | 2022-01-11 | 苏州爱果乐科技有限公司 | Light adjusting method and system |
| CN114340106A (en) * | 2022-02-28 | 2022-04-12 | 奇瑞汽车股份有限公司 | Brightness control method, device and equipment of rear steering lamp and storage medium |
| JP2022073894A (en) * | 2020-10-29 | 2022-05-17 | 中国汽車技術研究中心有限公司 | Driving scene classification method, device, apparatus, and readable storage medium |
-
2022
- 2022-05-20 CN CN202210549921.8A patent/CN114916109B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013201132A (en) * | 2011-09-02 | 2013-10-03 | Mitsubishi Chemicals Corp | Lighting method and light-emitting device |
| CN108181952A (en) * | 2017-12-11 | 2018-06-19 | 浙江工业大学 | A kind of illuminance measurement and illuminance intelligent control method based on convolutional neural networks |
| CN108662545A (en) * | 2018-05-16 | 2018-10-16 | 长春众鼎科技有限公司 | Automobile brake lamp brightness control system and its control method |
| JP2022073894A (en) * | 2020-10-29 | 2022-05-17 | 中国汽車技術研究中心有限公司 | Driving scene classification method, device, apparatus, and readable storage medium |
| CN113033777A (en) * | 2021-03-16 | 2021-06-25 | 同济大学 | Vehicle-mounted atmosphere lamp chromaticity calibration method based on neural network calibration model |
| CN113923839A (en) * | 2021-10-19 | 2022-01-11 | 苏州爱果乐科技有限公司 | Light adjusting method and system |
| CN114340106A (en) * | 2022-02-28 | 2022-04-12 | 奇瑞汽车股份有限公司 | Brightness control method, device and equipment of rear steering lamp and storage medium |
Non-Patent Citations (3)
| Title |
|---|
| DANDAN WANG等: "A Novel Intelligent Lighting Control System Based on Object Detection", 2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING * |
| 杨阿弟;王少飞;杨黎伟;: "汽车LED前照灯智能控制系统", 长春师范大学学报, no. 10 * |
| 梁海志;刘东静;陆翰;覃有硬;: "LED汽车灯具防雾装置设计及应用", 汽车电器, no. 12 * |
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