CN114916109B - Angle identification method and system for rear position lamp for uniform lighting vehicle - Google Patents
Angle identification method and system for rear position lamp for uniform lighting vehicle Download PDFInfo
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Abstract
The invention provides an angle identification method and system for a rear position lamp for a uniform lighting vehicle, which relate to the technical field of data processing and comprise the following steps: when the rear position lamp for the vehicle emits light, acquiring multi-dimensional light emitting information under a plurality of angles based on the plurality of angles to acquire a plurality of light emitting information sets; acquiring application scene information of a rear position lamp for a vehicle, and acquiring corresponding preset lighting requirements; according to the application scene information, analyzing and judging whether a plurality of luminous information sets meet the preset luminous requirements and the unsatisfied degree, and obtaining a plurality of judging 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; according to the judgment results and the analysis results, adjusting a plurality of LED lamps in the vehicle rear position lamp; the technical effects of improving the luminous 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 uniformly-luminous vehicle.
Background
In the current society, automobiles become indispensable transportation means in people's life, automobile tail lamps are important components of automobiles, and automobile tail lamps are signal lamps for transmitting important information such as braking, steering and the like, and are directly related to traffic safety.
Along with the development of LED technology, more and more position lamps in automobiles begin to use LEDs to be made into bulbs, along with the continuous increase of requirements of people on vehicle performance, the requirements on automobile tail lamps in the vehicle market are also higher and higher, and the design method of the existing automobile tail lamps is a method of using an inner lens and adding a dispersing agent, but the use and research of the existing automobile tail lamps show that when the automobile tail lamps are watched from different angles, the luminous effect of the automobile tail lamps is different, and dark areas even appear at some angles, so that certain hidden dangers are brought to traffic safety.
How to make the automobile tail lamp look at the automobile tail lamp from all angles and can realize even luminous when using, can not have the dark space to become the technical problem that needs to solve now urgently.
Disclosure of Invention
The application aims to provide an angle identification method and an angle identification system for a uniformly-luminous automobile rear position lamp, which are used for solving the technical problems that in the prior art, when an automobile tail lamp is watched from different angles, the luminous effect of the automobile tail lamp is different, and even dark areas are generated at some angles, so that the luminous uniformity of the automobile tail lamp is improved, the surrounding environment of the automobile is reminded, and the occurrence of traffic accidents is reduced.
In view of the above problems, the present application provides a method and a system for identifying an angle of a rear position lamp for a vehicle which uniformly emits light.
In a first aspect of the present application, there is provided an angle recognition method of a rear position lamp for a vehicle, the method being applied to a rear position lamp system for a vehicle, the system including a rear position lamp for a vehicle, the rear position lamp for a vehicle including a plurality of LED lamps and an inner lens disposed on an optical path on which the plurality of LED lamps emit light, the method comprising: when the vehicle rear position lamp system emits light, acquiring multi-dimensional light-emitting information under a plurality of angles based on the plurality of angles to acquire a plurality of light-emitting information sets; acquiring application scene information of the vehicle rear position lamp system, and acquiring corresponding preset lighting requirements; according to the application scene information, analyzing and judging whether a plurality of luminous information sets meet the preset luminous requirements and the unsatisfied degree, and obtaining a plurality of judging 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 a plurality of LED lamps in the vehicle rear position lamp according to a plurality of judging results and the analysis results.
In a second aspect of the present application, there is provided an angle recognition system for uniformly illuminating a rear position lamp for a vehicle, the system comprising: the first obtaining unit is used for acquiring and obtaining multidimensional luminous 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 luminous information sets; the second obtaining unit is used for acquiring application scene information of the vehicle rear position lamp system and acquiring corresponding preset lighting requirements; the first judging unit is used for analyzing and judging whether the plurality of luminous information sets meet the preset luminous requirements and the unsatisfied degree according to the application scene information to obtain a plurality of judging 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; the first processing unit is used for adjusting a plurality of LED lamps in the vehicle rear position lamp according to a plurality of judging results and analyzing results.
In a third aspect of the present application, there is provided an angle recognition system for uniformly illuminating a rear position lamp for a vehicle, comprising: a processor coupled to a memory for storing a program which, when executed by the processor, causes the system to perform the steps of the method as described in the first aspect.
In a fourth aspect of the application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method according to the first aspect.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the application provides an angle identification method of a uniformly-luminous vehicle rear position lamp, which is applied to a vehicle rear position lamp system, wherein the system comprises the vehicle rear position lamp, the vehicle rear position lamp comprises a plurality of LED lamps and an inner lens, the inner lens is arranged on a light path of the LED lamps for emitting light, and when the vehicle rear position lamp emits light, multi-dimensional luminous information under a plurality of angles is acquired and obtained based on the plurality of angles, so as to obtain a plurality of luminous information sets; acquiring application scene information of the vehicle rear position lamp, and acquiring corresponding preset lighting requirements; according to the application scene information, analyzing and judging whether a plurality of luminous information sets meet the preset luminous requirements and the unsatisfied degree, and obtaining a plurality of judging results; the data dimension is increased by collecting a plurality of luminous information and acquiring application scene information when the rear position lamp emits light, so that abundant data support is provided for analysis of the uniformity of the light emission of the 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 a plurality of LED lamps in the vehicle rear position lamp according to a plurality of judging results and the analysis results. The technical problems that in the prior art, when the automobile tail lamp is watched from different angles, the luminous effect of the automobile tail lamp is different, and even dark areas are caused at certain angles are solved, the luminous uniformity of the automobile tail lamp is improved, the surrounding environment of the automobile is reminded, and the traffic accident occurrence is reduced are solved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow chart of a method for identifying the angle of a rear position lamp for a uniformly luminous vehicle;
FIG. 2 is a schematic view showing a structure of a rear position lamp for a vehicle according to a first embodiment of the application;
FIG. 3 is a schematic flow chart of obtaining application scene information in the method for identifying the angle of the rear position lamp for the uniformly luminous vehicle;
fig. 4 is a schematic flow chart of adjusting a plurality of LED lamps in a rear position lamp for a vehicle in the method for identifying an angle of a uniformly-luminous rear position lamp for a vehicle provided by the application;
FIG. 5 is a schematic view of an angle recognition system for uniformly illuminating a rear position lamp for a vehicle;
fig. 6 is a schematic structural diagram of an exemplary electronic device of the present application.
Reference numerals illustrate: the LED module 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 the angle identification method and the system for the uniformly-luminous automobile rear position lamp, which are used for solving the technical problems that in the prior art, when the automobile tail lamp is watched from different angles, the luminous effect of the automobile tail lamp is different, and even dark areas are generated at some angles, so that the luminous uniformity of the automobile tail lamp is improved, the surrounding environment of the automobile is reminded, and the traffic accident is reduced.
Aiming at the technical problems, the technical scheme provided by the application has the following overall thought:
the application provides an angle identification method of a uniformly-luminous vehicle rear position lamp, which is applied to a vehicle rear position lamp system, wherein the system comprises the vehicle rear position lamp, the vehicle rear position lamp comprises a plurality of LED lamps and an inner lens, the inner lens is arranged on a light path of the LED lamps for emitting light, and when the vehicle rear position lamp emits light, multi-dimensional luminous information under a plurality of angles is acquired and obtained based on the plurality of angles, so as to obtain a plurality of luminous information sets; acquiring application scene information of the vehicle rear position lamp, and acquiring corresponding preset lighting requirements; according to the application scene information, analyzing and judging whether a plurality of luminous information sets meet the preset luminous requirements and the unsatisfied degree, and obtaining a plurality of judging results; the data dimension is increased by collecting a plurality of luminous information and acquiring application scene information when the rear position lamp emits light, so that abundant data support is provided for analysis of the uniformity of the light emission of the 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 a plurality of LED lamps in the vehicle rear position lamp according to a plurality of judging results and the analysis results.
Having introduced the basic principles of the present application, the technical solutions of the present application will now be clearly and fully described with reference to the accompanying drawings, it being apparent that the embodiments described are only some, but not all, embodiments of the present application, and it is to be understood that the present application is not limited to the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.
Example 1
As shown in fig. 1, the present application provides an angle recognition method for uniformly lighting a rear position lamp for a vehicle, the method is applied to a rear position lamp system for a vehicle, the system includes a rear position lamp for a vehicle, the rear position lamp for a vehicle includes a plurality of LED lamps and an inner lens, the inner lens is disposed on a light path where the plurality of LED lamps emit light, the method includes:
s100: when the vehicle rear position lamp system emits light, acquiring multi-dimensional light-emitting information under a plurality of angles based on the plurality of angles to acquire a plurality of light-emitting information sets;
Specifically, the method provided by 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 LED lamps emit light. When the automotive rear position lamp system works in a light emitting mode, light emitted by the automotive rear position lamp system is subjected to multi-dimensional light emitting information acquisition from multiple angles, and the multi-dimensional light emitting information comprises: luminous information such as luminous flux, illuminance, brightness, solid angle, light intensity and the like is obtained, and then a plurality of luminous information sets are obtained, wherein the plurality of luminous information sets are sets formed by multidimensional luminous information corresponding to a plurality of angles, each angle in the plurality of angles corresponds to one luminous information set, and a data basis is provided for judging whether the obtained plurality of luminous information sets meet preset luminous requirements or not.
As an example, as shown in fig. 2, a schematic diagram of a possible structure of the rear position lamp for a vehicle in this embodiment is shown. The rear position lamp for a vehicle includes: an outer mask 201, an inner lens 202, self-tapping screws 203, a PCB 204, LED lamps 205 and lamp housings 206; wherein the LED lamp 205 is soldered on the PCB 204 by 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 housing 206 are ultrasonically welded together; the PCB 204 is secured to the lamp housing 206 by a slot designed into the lamp housing 206.
S200: acquiring application scene information of the vehicle rear position lamp system, and acquiring corresponding preset lighting requirements;
specifically, the application scene information of the vehicle rear position lamp system is obtained, the application scene information can include information such as brightness and road conditions, for example, whether the application scene information is frequently used in rural areas or in cities, whether the application scene information is frequently used at night or in daytime, whether the application scene information is frequently used in long distances or short distances, and the like, and the corresponding preset lighting requirements are obtained according to the application scene information, and can be determined according to the vehicle rear position lamp lighting requirements corresponding to the historical application scene information. By comprehensively considering the application scene information, the accurate utilization of the information of the rear position lamp for the vehicle is improved, and the analysis result of the luminous information set is further improved.
S300: according to the application scene information, analyzing and judging whether a plurality of luminous information sets meet the preset luminous requirements and the unsatisfied degree, and obtaining a plurality of judging results;
specifically, information corresponding to the light-emitting information sets is combined with current application scene information and compared with a preset light-emitting requirement, and whether the information corresponding to the light-emitting information sets meets the preset light-emitting requirement is judged. When the information corresponding to the plurality of luminous information sets meets the preset luminous requirements, obtaining the degree exceeding the preset luminous requirements; when the information corresponding to the plurality of luminous information sets does not meet the preset luminous requirement, the degree of phase difference from the preset luminous requirement is obtained, and a plurality of judgment results are obtained. Preferably, the degree of exceeding or not meeting is expressed in percentage, so that the accurate judgment of the luminous information set of the rear position lamp for the vehicle under the condition of combining the application scene information is achieved.
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, the obtained multidimensional luminescence information can be utilized to construct a uniform luminescence analysis space, the uniform luminescence analysis space can be a space coordinate system, and whether the plurality of the luminescence information are within a preset range or not is judged by analyzing the plurality of the input luminescence information, so that the luminescence uniformity of the rear position lamp for the vehicle is judged.
S500: and adjusting a plurality of LED lamps in the vehicle rear position lamp according to the judging results and the analyzing results.
Specifically, according to the judgment result that whether the multiple luminous information sets corresponding to the multiple angles of the vehicle rear position lamp meet the preset luminous requirement or not and the multiple luminous information analysis result corresponding to the multiple angles, the adjustment schemes of the multiple LED lamps in the vehicle rear position lamp are determined, and the technical effect that the vehicle rear position lamp can uniformly emit light is achieved.
The application provides an angle identification method of a uniformly-luminous vehicle rear position lamp, which is applied to a vehicle rear position lamp system, wherein the system comprises the vehicle rear position lamp, the vehicle rear position lamp comprises a plurality of LED lamps and an inner lens, the inner lens is arranged on a light path of the LED lamps for emitting light, and when the vehicle rear position lamp emits light, multi-dimensional luminous information under a plurality of angles is acquired and obtained based on the plurality of angles, so as to obtain a plurality of luminous information sets; acquiring application scene information of the vehicle rear position lamp, and acquiring corresponding preset lighting requirements; according to the application scene information, analyzing and judging whether a plurality of luminous information sets meet the preset luminous requirements and the unsatisfied degree, and obtaining a plurality of judging results; the data dimension is increased by collecting a plurality of luminous information and acquiring application scene information when the rear position lamp emits light, so that abundant data support is provided for analysis of the uniformity of the light emission of the 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 a plurality of LED lamps in the vehicle rear position lamp according to a plurality of judging results and the analysis results. The technical problems that in the prior art, when the automobile tail lamp is watched from different angles, the luminous effect of the automobile tail lamp is different, and even dark areas are caused at certain angles are solved, the luminous uniformity of the automobile tail lamp is improved, the surrounding environment of the automobile is reminded, and the traffic accident occurrence is reduced are solved.
The step S100 in the method provided by the embodiment of the application comprises the following steps:
s110: collecting and obtaining luminous illuminance information sets under a plurality of angles;
s120: acquiring luminous display finger information sets under a plurality of angles;
s130: acquiring a luminous solid angle information set under a plurality of angles;
s140: and clustering the luminous illuminance information set, the luminous finger information set and the luminous solid angle information set one by one according to angles to obtain a plurality of luminous information sets.
Specifically, in order to accurately analyze the uniformity of the rear position lamp for the vehicle when the rear position lamp emits light, improve analysis results and avoid the situation that analysis results are larger in error due to single performance, in the embodiment of the application, a luminous illuminance information set, a luminous finger information set and a luminous solid angle information set under a plurality of angles of the rear position lamp for the vehicle are obtained, and the luminous illuminance information set, the luminous finger information set and the luminous solid angle information set are clustered one by one according to angles to obtain a plurality of luminous information sets. Each angle in the plurality of luminous information sets corresponds to one luminous information set, namely, each angle corresponds to one set formed by luminous illuminance information, luminous finger information and luminous solid angle information under 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 historical application scene information of the vehicle rear position lamp 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 the 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 areas of a plurality of clustering results to obtain a plurality of area information;
s270: and taking the multidimensional scene parameter information range in the clustering result corresponding to the maximum area information as the application scene information.
Specifically, in order to obtain application scene information of the vehicle rear position lamp, in the embodiment of the application, a plurality of different historical application scene information of the vehicle rear position lamp in a preset time period is acquired and obtained, wherein the preset time period can be a cycle of week, month 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 scene information comprises multi-dimensional scene parameter information; the multi-dimensional scene parameter information comprises brightness information and road condition information. Constructing a two-dimensional coordinate space by using brightness information and road condition information, inputting the multi-dimensional scene parameter information of a plurality of pieces of historical application scene information into the scene analysis coordinate system, and obtaining a plurality of first coordinate points, wherein 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, obtaining a plurality of first Euclidean distances, respectively comparing the plurality of first Euclidean distances with a first preset Euclidean distance threshold, wherein the first preset Euclidean distance threshold can be determined according to environment information experience of a scene used by a position lamp behind an automobile, clustering the first coordinate points corresponding to the first Euclidean distances smaller than the first preset Euclidean distance threshold to obtain a plurality of clustering results, wherein each clustering result comprises a plurality of first coordinate points, and a region is formed in a scene analysis coordinate system; calculating areas of a plurality of clustering results by utilizing calculus to obtain a plurality of area information; taking the multidimensional scene parameter information range in the clustering result corresponding to the maximum area information as the application scene information, taking the application scene information into consideration when analyzing the luminous uniformity of the rear position lamp of the vehicle, further improving the accuracy of the luminous uniformity analysis result of the rear position lamp of the vehicle, and making a more reasonable LED lamp adjustment scheme.
Step S200 in the method provided by the embodiment of the present application further includes:
s201: constructing a luminescence requirement analysis model based on the artificial neural network model;
s202: acquiring a plurality of pieces of lighting requirement information, wherein the lighting requirement information corresponds to the historical application scene information one by one;
s203: taking a plurality of the lighting requirement information and a plurality of the historical application scene information as first construction samples;
s204: dividing and identifying the first construction sample according to a preset dividing rule to obtain a first training sample, a first verification sample and a first test sample;
s205: performing supervision training, verification and testing on the luminous requirement analysis model by adopting the first training sample, the first verification sample and the first test sample until the accuracy of the luminous requirement analysis model reaches a preset requirement;
s206: and inputting the application scene information into the luminous requirement analysis model to obtain an output result, wherein the output result comprises the preset luminous requirement.
Specifically, the light emission requirement analysis model is a mathematical logic model constructed based on a neural network model, the neural network (NeuralNetworks, NN) is a complex network system formed by a large number of simple processing units (called neurons) which are widely connected with each other, reflects a plurality of basic characteristics of human brain functions, is a highly complex nonlinear power learning system, is particularly suitable for processing the imprecise and fuzzy information processing problem which needs to consider a plurality of factors and conditions at the same time, can analyze by utilizing the characteristic that mathematical data continuously converges, and further outputs converged information based on machine learning, and in the embodiment of the application, the light emission requirement analysis model is a mathematical model obtained by performing supervision training on a data set formed by a large number of historical application scene information and light emission requirement information.
Collecting and obtaining a plurality of pieces of luminous requirement information corresponding to a plurality of pieces of historical application scene information, taking the plurality of pieces of luminous requirement information and the plurality of pieces of historical application scene information as a first construction sample, dividing and identifying the constructed sample according to a preset dividing rule, for example, dividing according to the action of sample data, a training sample for training and adjusting model parameters, a verification sample for verifying model precision and adjusting model parameters and a test sample for verifying model generalization capability, and further obtaining a first training sample, a first verification sample and a first test sample. In this embodiment, 70% of the samples may be used as a training set, 15% as a verification set, and 15% as a test set; in this embodiment, the first training sample is used to perform supervised training on the light emission requirement analysis model until the output result of the light emission 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 light emission requirement analysis model, if the accuracy of the output result of the light emission requirement analysis model reaches a preset requirement, the light emission requirement analysis model is obtained, the application scene information is input into the light emission requirement analysis model, and an output result is obtained, wherein the output result includes the preset light emission requirement. The intelligent processing of the data is achieved, the accuracy of the analysis data is improved, and then an accurate output result is obtained.
The step S400 in the method provided by 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 luminous information sets into the second coordinate system to obtain a plurality of second coordinate points;
s430: calculating second Euclidean distances between every two second coordinate points to obtain a plurality of second Euclidean distances;
s440: setting and obtaining a second preset Euclidean distance threshold according to the uniform lighting requirement of the vehicle rear position lamp system;
s450: and respectively judging whether the second Euclidean distances are smaller than the second preset Euclidean distance threshold, and if so, acquiring the degree of the larger value to acquire the analysis result.
Specifically, in order to analyze the uniformity of light emission of the rear position lamp for the vehicle, in the embodiment of the application, a second coordinate system is constructed by utilizing the multi-dimensional light emission information, wherein the second coordinate system is a three-dimensional coordinate space constructed by light emission illuminance information, light emission display information and light emission solid angle information, a plurality of light emission information sets corresponding to multiple angles of the rear position lamp for the vehicle are input into the second coordinate system, a plurality of second coordinate points are obtained, and each coordinate point is a light emission information coordinate point corresponding to each angle; 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, wherein the second preset Euclidean distance threshold is the maximum Euclidean distance corresponding to the condition that different angle luminous information meets uniform luminous, respectively judging whether the plurality of second Euclidean distances are smaller than the second preset Euclidean distance threshold, if so, indicating that certain angles in the vehicle rear position lamp emit light unevenly, obtaining a degree larger than the second Euclidean distance, if so, indicating that the luminous uniformity of certain angles meets the requirement, further obtaining the analysis result, and utilizing the analysis result to achieve the purpose of adjusting the condition that certain angles of the vehicle rear position lamp have dark areas.
As shown in fig. 4, step S500 in the method provided by the embodiment of the present application includes:
s510: constructing a car light adjustment analysis model based on an artificial neural network, wherein the car light adjustment analysis model comprises an input layer, a luminous 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 luminous 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: the second construction sample and the third construction sample are adopted to conduct supervision training, verification and testing on the luminous parameter adjustment network and the angle adjustment network respectively, and the car lamp adjustment analysis model is obtained;
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 luminous parameter adjustment scheme and an angle adjustment scheme;
s560: and adjusting a plurality of LED lamps by adopting the luminous parameter adjusting scheme and the angle adjusting scheme.
Specifically, a neural network model is used as a basis to construct a car light adjustment analysis model, the car light adjustment analysis model can utilize the characteristic that mathematical data continuously converges to analyze, further based on the information after machine learning output convergence, the characteristic that the mathematical data continuously converges to analyze, further based on the information after machine learning output convergence, in the embodiment of the application, the car light adjustment analysis model comprises an input layer, a luminous parameter adjustment network, an angle adjustment network and an output layer, the luminous parameter adjustment network and the angle adjustment network are arranged in parallel, the input layer is used for inputting data, the input data is continuously processed and updated through the luminous parameter adjustment network and the angle adjustment network respectively, and finally an output result, namely, a luminous parameter adjustment scheme and an angle adjustment scheme is obtained through the output layer.
Obtaining a construction sample of the car light adjustment analysis model, wherein the construction sample comprises a second construction sample and a third construction sample, the second construction sample comprises a history judgment result combination and a luminous parameter adjustment scheme set, the second construction sample can be set according to the previous debugging experience of the luminous parameters of the car rear position lamp and is used for training a luminous parameter adjustment network, and the history judgment result is the degree of whether the luminous information set meets the preset luminous requirement; the third construction sample comprises a historical analysis result set and an angle adjustment scheme set, can be set according to 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 for carrying out supervision training, verification and testing on the luminous parameter adjustment network and the angle adjustment network to obtain the automobile lamp adjustment analysis model; the judging results and the analyzing results are input into the car lamp adjusting analysis model to obtain an output result, the output result comprises a luminous parameter adjusting scheme and an angle adjusting scheme, and the luminous parameter adjusting scheme and the angle adjusting scheme are adopted to adjust the LED lamps, so that the luminous uniformity of the car tail lamp is improved, the surrounding environment of the car is reminded, and the technical effects of reducing traffic accidents are achieved.
In summary, the embodiment of the application has at least the following technical effects:
1. the application provides an angle identification method of a uniformly-luminous vehicle rear position lamp, which is applied to a vehicle rear position lamp system, wherein the system comprises the vehicle rear position lamp, the vehicle rear position lamp comprises a plurality of LED lamps and an inner lens, the inner lens is arranged on a light path of the LED lamps for emitting light, and when the vehicle rear position lamp emits light, multi-dimensional luminous information under a plurality of angles is acquired and obtained based on the plurality of angles, so as to obtain a plurality of luminous information sets; acquiring application scene information of the vehicle rear position lamp, and acquiring corresponding preset lighting requirements; according to the application scene information, analyzing and judging whether a plurality of luminous information sets meet the preset luminous requirements and the unsatisfied degree, and obtaining a plurality of judging 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 a plurality of LED lamps in the vehicle rear position lamp according to a plurality of judging results and the analysis results. The technical problems that in the prior art, when the automobile tail lamp is watched from different angles, the luminous effect of the automobile tail lamp is different, and even dark areas are caused at certain angles are solved, the luminous uniformity of the automobile tail lamp is improved, the surrounding environment of the automobile is reminded, and the traffic accident occurrence is reduced are solved.
2. The application increases the data dimension by collecting the plurality of luminous information and acquiring the application scene information when the vehicle rear position lamp emits light, and provides abundant data support for analyzing the uniformity of the vehicle rear position lamp.
3. The application utilizes the KNN classification algorithm to determine the application scene information of the rear position lamp for the vehicle and the analysis result of whether the rear position lamp for the vehicle uniformly emits light, and on the basis, a light emitting requirement analysis model and a vehicle lamp adjustment analysis model are built by combining the neural network model.
Example two
Based on the same inventive concept as the angle recognition method of a uniformly luminous vehicular rear position lamp in the foregoing embodiments, as shown in fig. 5, the present application provides an angle recognition system of a uniformly luminous vehicular rear position lamp, wherein the system comprises:
a first obtaining unit 11, configured to acquire multi-dimensional light emission information under a plurality of angles based on the plurality of angles when the vehicle rear position lamp system emits light, and obtain a plurality of light emission information sets;
The second obtaining unit 12 is used for acquiring application scene information of the vehicle rear position lamp system and acquiring corresponding preset lighting requirements;
a first judging unit 13, configured to analyze and judge whether the plurality of sets of light-emitting information meet the preset light-emitting requirement and the degree of unsatisfied according to the application scene information, so as to obtain a plurality of judging results;
a first construction unit 14 for constructing a uniform luminescence analysis space, inputting a plurality of the luminescence information sets into the uniform luminescence analysis space, and obtaining an analysis result;
and the first processing unit 15 is used for adjusting the plurality of LED lamps in the vehicle rear position lamp according to a plurality of judging results and the analysis results.
Further, the system further comprises:
the third obtaining unit is used for collecting and obtaining luminous illuminance information sets under a plurality of angles;
the fourth obtaining unit is used for collecting and obtaining luminous display finger information sets under a plurality of angles;
a fifth obtaining unit for acquiring a set of light emitting solid angle information under a plurality of angles;
The second processing unit is used for clustering the luminous illuminance information set, the luminous finger information set and the luminous solid angle information set one by one according to angles to obtain a plurality of luminous information sets.
Further, the system further comprises:
the fourth obtaining unit is used for collecting and obtaining a plurality of different historical application scene information of the rear position lamp for the vehicle in a 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;
the third processing unit is used for inputting the multi-dimensional scene parameter information of the historical application scene information into the scene analysis coordinate system to obtain a plurality of first coordinate points;
the fourth processing unit is used for calculating the distance between every two first coordinate points to obtain a plurality of first Euclidean distances;
the fifth processing unit is used for clustering the first coordinate points corresponding to the first Euclidean distance smaller than a first preset Euclidean distance threshold value to obtain a plurality of clustering results;
The sixth processing unit is used for calculating the areas of a plurality of clustering results and obtaining a plurality of area information;
and the seventh processing unit is used for taking the multi-dimensional scene parameter information range in the clustering result corresponding to the maximum area information as the application scene information.
Further, the system further comprises:
the third construction unit is used for constructing a luminous requirement analysis model based on the artificial neural network model;
the eighth processing unit is used for acquiring a plurality of pieces of luminous requirement information, wherein the luminous requirement information and the historical application scene information are in one-to-one correspondence;
a ninth processing unit configured to take a plurality of the lighting requirement information and a plurality of the historical application scene information as first construction samples;
the tenth processing unit is used for dividing and marking the first constructed sample according to a preset dividing rule to obtain a first training sample, a first verification sample and a first test sample;
the eleventh processing unit is used for performing supervision training, verification and test on the luminous requirement analysis model by adopting the first training sample, the first verification sample and the first test sample until the accuracy of the luminous requirement analysis model reaches a preset requirement;
And the twelfth processing unit is used for inputting the application scene information into the luminous requirement analysis model to obtain an output result, wherein the output result comprises the preset luminous requirement.
Further, the system further comprises:
a fourth construction unit for constructing a second coordinate system based on the multi-dimensional light emission information;
a thirteenth processing unit for inputting a plurality of the sets of the light emission information into the second coordinate system to obtain a plurality of second coordinate points;
a fourteenth processing unit, configured to calculate a second euclidean distance between every two second coordinate points, and obtain a plurality of second euclidean distances;
a fifteenth processing unit, configured to obtain a second preset euclidean distance threshold according to a uniform lighting requirement of the rear position lamp for the vehicle;
and the sixteenth processing unit is used for respectively judging whether the second Euclidean distances are smaller than the second preset Euclidean distance threshold value, and if so, acquiring the degree of the greater than the second Euclidean distance threshold value, and acquiring the analysis result.
Further, the system further comprises:
a fifth construction unit, configured to construct a lamp adjustment analysis model based on an artificial neural network, where the lamp adjustment analysis model includes an input layer, a light emission parameter adjustment network, an angle adjustment network, and an output layer;
a fifth obtaining unit, configured to collect and obtain a second construction sample, where the second construction sample includes a history judgment result set and a light-emitting parameter adjustment scheme set;
a sixth obtaining unit, configured to collect and obtain 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 light-emitting 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 a plurality of the determination results and the analysis results into the vehicle lamp adjustment analysis model, to obtain an output result, where the output result includes a light-emitting parameter adjustment scheme and an angle adjustment scheme;
And the nineteenth processing unit is used for adjusting the plurality of LED lamps by adopting the luminous parameter adjustment scheme and the angle adjustment scheme.
Example III
Based on the same inventive concept as the angle recognition method of the uniformly illuminating rear position lamp for a vehicle in the foregoing embodiment, the present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method as in the first embodiment.
Exemplary electronic device
The electronic device of the application is described below with reference to figure 6,
based on the same inventive concept as the angle recognition method of the uniformly luminous vehicle rear position lamp in the foregoing embodiment, the present application also provides an angle recognition system of the uniformly luminous vehicle rear position lamp, including: a processor coupled to a 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: a processor 302, a communication interface 303, a 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 interconnected by a bus architecture 304; the bus architecture 304 may be a peripheral component interconnect (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry Standard architecture, EISA) bus, among others. The bus architecture 304 may be divided into address buses, data buses, control buses, and the like. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus.
Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the execution of the programs of the present application.
The communication interface 303 uses any transceiver-like means for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), wired access network, etc.
The memory 301 may be, but is not limited to, ROM or other type of static storage device that may store static information and instructions, RAM or other type of dynamic storage device that may store information and instructions, or may be an EEPROM (electrically erasable Programmable read-only memory), a compact disc-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media 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 bus architecture 304. The memory may also be integrated with the processor.
The memory 301 is used for storing computer-executable instructions for executing the inventive arrangements, and is controlled by the processor 302 for execution. The processor 302 is configured to execute computer-executable instructions stored in the memory 301, thereby implementing the method for identifying the angle of the rear position lamp for the vehicle with uniform illumination according to the embodiment of the application.
Those of ordinary skill in the art will appreciate that: the first, second, etc. numbers referred to in the present application are merely for convenience of description and are not intended to limit the scope of the present application, nor to indicate the sequence. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any one," or the like, refers to any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one of a, b, or c (species ) may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
In the above embodiments, it may be implemented in whole or in part 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 processes or functions in accordance with the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the available medium. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The various illustrative logical blocks and circuits described in this disclosure may be implemented or performed with 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 designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the general purpose 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 the connection with the present application may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software elements 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. In an 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 reside in a terminal. In the alternative, the processor and the storage medium may reside in different components in a 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 application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (9)
1. A method for identifying an angle of a uniformly lighted vehicular rear position light, the method being applied to a vehicular rear position light system including a vehicular rear position light including a plurality of LED lights, the method comprising:
when the vehicle rear position lamp system emits light, acquiring multi-dimensional light-emitting information under a plurality of angles based on the plurality of angles to acquire a plurality of light-emitting information sets;
acquiring application scene information of the vehicle rear position lamp system, and acquiring corresponding preset lighting requirements;
According to the application scene information, analyzing and judging whether a plurality of luminous information sets meet the preset luminous requirements and the unsatisfied degree, and obtaining a plurality of judging 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 LED lamps in the rear position lamp for the vehicle according to the judging results and the analyzing results.
2. The method of claim 1, wherein the acquiring obtains multi-dimensional luminescence information at a plurality of angles, obtaining a plurality of sets of luminescence information, comprising:
collecting and obtaining luminous illuminance information sets under a plurality of angles;
acquiring luminous display finger information sets under a plurality of angles;
acquiring a luminous solid angle information set under a plurality of angles;
and clustering the luminous illuminance information set, the luminous finger information set and the luminous solid angle information set one by one according to angles to obtain a plurality of luminous information sets.
3. The method of claim 1, wherein the acquiring application scenario information of the vehicular rear position light system comprises:
Acquiring a plurality of different historical application scene information of the vehicle rear position lamp system in a 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 a plurality 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 areas of a plurality of clustering results to obtain a plurality of area information;
and taking the multidimensional scene parameter information range in the clustering result corresponding to the maximum area information as the application scene information.
4. A method according to claim 3, wherein said obtaining a corresponding preset lighting requirement comprises:
constructing a luminescence requirement analysis model based on the artificial neural network model;
acquiring a plurality of pieces of lighting requirement information, wherein the lighting requirement information corresponds to the historical application scene information one by one;
Taking a plurality of the lighting requirement information and a plurality of the historical application scene information as first construction samples;
dividing and identifying the first construction sample according to a preset dividing rule to obtain a first training sample, a first verification sample and a first test sample;
performing supervision training, verification and testing on the luminous requirement analysis model by adopting the first training sample, the first verification sample and the first test sample until the accuracy of the luminous requirement analysis model reaches a preset requirement;
and inputting the application scene information into the luminous requirement analysis model to obtain an output result, wherein the output result comprises the preset luminous requirement.
5. The method of claim 1, wherein said constructing a uniform luminescence analysis space, inputting a plurality of said sets of luminescence information into said uniform luminescence analysis space, comprises:
constructing a second coordinate system based on the multi-dimensional luminous information;
inputting a plurality of luminous information sets into the second coordinate system to obtain a plurality of second coordinate points;
calculating second Euclidean distances between every two second coordinate points to obtain a plurality of second Euclidean distances;
Setting and obtaining a second preset Euclidean distance threshold according to the uniform lighting requirement of the vehicle rear position lamp system;
and respectively judging whether the second Euclidean distances are smaller than the second preset Euclidean distance threshold, and if so, acquiring the degree of the larger value to acquire the analysis result.
6. The method of claim 5, wherein adjusting the plurality of LED lights in the rear vehicle position light based on the plurality of determination results and the analysis results comprises:
constructing a car light adjustment analysis model based on an artificial neural network, wherein the car light adjustment analysis model comprises an input layer, a luminous 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 luminous 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;
the second construction sample and the third construction sample are adopted to conduct supervision training, verification and testing on the luminous parameter adjustment network and the angle adjustment network respectively, and the car lamp adjustment analysis model is obtained;
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 luminous parameter adjustment scheme and an angle adjustment scheme;
and adjusting a plurality of LED lamps by adopting the luminous parameter adjusting scheme and the angle adjusting scheme.
7. An angle recognition system for uniformly illuminating a rear position light for a vehicle, the system comprising:
the first obtaining unit is used for acquiring and obtaining multidimensional luminous 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 luminous information sets;
the second obtaining unit is used for acquiring application scene information of the vehicle rear position lamp system and acquiring corresponding preset lighting requirements;
the first judging unit is used for analyzing and judging whether the plurality of luminous information sets meet the preset luminous requirements and the unsatisfied degree according to the application scene information to obtain a plurality of judging 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;
The first processing unit is used for adjusting a plurality of LED lamps in the vehicle rear position lamp according to a plurality of judging results and analyzing results.
8. An angle recognition system for a rear position lamp for a uniformly luminous vehicle, comprising: a processor coupled to a memory for storing a program which, when executed by the processor, causes the system to perform the steps of the method of any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the method according to any of claims 1 to 6.
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