Automatic dimming method and system for reading light in car
By collecting in-vehicle light field data and passenger information, generating ambient light calibration signals and required light field parameters, and dynamically matching the optical path algorithm, the problem of insufficient adjustment accuracy of existing reading lights is solved, achieving precise lighting adjustment and personalized user experience.
Patent Information
- Application Number
- CN202510920489.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-04
- Publication Date
- 2025-09-16
- Estimated Expiration
- 2045-07-04
AI Technical Summary
Existing car reading lights cannot effectively distinguish between effective light sources and environmental interference light sources when adjusting the light, resulting in delayed or incorrect brightness adjustment. In addition, the general optical path algorithm cannot match all vehicle scenarios and has weak generalization ability, which affects the adjustment accuracy.
By collecting in-vehicle light field data based on RGB visible light sensors and short-wave infrared sensors, an ambient light calibration signal is generated, the light intensity and glare index are analyzed, and initial dimming instructions are generated. Passenger information is obtained by combining UWB positioning and weight perception to generate the required light field parameters. The optical path algorithm of the reading light is dynamically matched to generate optical path adjustment instructions to achieve precise dimming.
It significantly improves the adjustment accuracy of reading lights in complex in-vehicle scenarios, optimizes user experience, meets the personalized needs of different users, and effectively filters out interference from ambient light outside the vehicle.
Smart Images

Figure CN120417176B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of automobile lighting, and in particular to an automatic dimming method and system for a reading light in an automobile. Background Art
[0002] As the automobile manufacturing industry develops towards informatization and intelligence, the various functional accessories installed in automobiles are also increasing. Among them, reading lights have basically become one of the standard functional accessories in existing automobiles. Installing reading lights in cars can meet the needs of multiple users (including drivers and passengers) to read in different lighting environments (including daytime, nighttime, and other time periods, as well as tunnels, under overpasses, etc.) in different postures (including sitting, lying, etc.). However, there are still some defects in the light adjustment of reading lights. For example, when collecting ambient light information, traditional monochromatic light sensors cannot distinguish between effective light sources and environmental interference light sources, resulting in delayed or incorrect brightness adjustment; in addition, due to differences in the installation of reading light hardware, the general optical path algorithm cannot match all vehicle-mounted scenarios, and the generalization ability is weak, which affects the adjustment accuracy. Summary of the Invention
[0003] The purpose of the present invention is to overcome the shortcomings of the existing technology. The present invention provides an automatic dimming method and system for reading lights in cars, which generate initial dimming instructions by filtering the interference of ambient light outside the car, and dynamically match the optical path algorithm of the reading lights to generate optical path adjustment instructions, significantly improving the adjustment accuracy of the reading lights in complex in-vehicle scenarios and optimizing the user experience.
[0004] The present invention provides an automatic dimming method for a reading light in a car, the method comprising:
[0005] collecting in-vehicle light field data based on an ambient light sensor, and generating an ambient light calibration signal based on the in-vehicle light field data;
[0006] parsing the ambient light calibration signal to generate an ambient light intensity threshold, and generating an initial dimming instruction according to the ambient light intensity threshold;
[0007] Acquiring passenger information in the vehicle, and generating required light field parameters based on the passenger information;
[0008] Matching the required light field parameters with the vehicle model data, retrieving the light path algorithm corresponding to the installation position of the reading light in the vehicle, and generating a light path adjustment instruction;
[0009] The initial dimming instruction and the light path adjustment instruction are combined to perform dimming processing on the in-vehicle reading light.
[0010] Furthermore, collecting the in-vehicle light field data based on the ambient light sensor includes:
[0011] Collect RGB visible spectrum intensity data in the car based on RGB visible light sensor;
[0012] The short-wave infrared reflectivity data of the vehicle window coating is collected based on the short-wave infrared sensor.
[0013] Furthermore, generating an ambient light calibration signal based on the in-vehicle light field data includes:
[0014] Analyze and fuse the RGB visible spectrum intensity data inside the vehicle and the short-wave infrared reflectivity data of the window coating to calculate the illumination intensity and glare index of the ambient light entering the vehicle from outside;
[0015] Based on the calculated light intensity and glare index, determine whether there is a strong glare scene in the vehicle environment;
[0016] If it is determined that there is a strong glare scene, the glare dynamic threshold adjustment is triggered to generate a dynamic glare calibration signal;
[0017] If it is determined that there is no glare scene, the glare static threshold adjustment is triggered to generate a static glare calibration signal.
[0018] Furthermore, the step of analyzing the ambient light calibration signal, generating an ambient light intensity threshold, and generating an initial dimming instruction according to the ambient light intensity threshold includes:
[0019] Analyzing the light intensity and glare index in the ambient light calibration signal, determining whether the light intensity and glare index are within a preset glare risk range, and generating a glare risk mark;
[0020] calculating an anti-glare compensation coefficient based on the glare risk mark;
[0021] Analyzing the light intensity and glare index according to a preset nonlinear light intensity adjustment curve to calculate basic brightness;
[0022] generating an ambient light intensity threshold based on the anti-glare compensation coefficient, the basic brightness, and the glare index;
[0023] The ambient light intensity threshold is matched and packaged with the timestamp to generate an initial dimming instruction.
[0024] Furthermore, the obtaining of the passenger riding information in the vehicle and generating the required light field parameters based on the riding information includes:
[0025] Obtain the two-dimensional coordinates and attitude angles of passengers in the car based on UWB positioning and weight perception;
[0026] Converting the two-dimensional coordinates into three-dimensional coordinates in a vehicle coordinate system, and combining the attitude angle to obtain the tilt direction of the head of the passenger in the vehicle;
[0027] Assign user priorities based on the three-dimensional coordinates and head tilt direction of passengers in the car;
[0028] Generate required light field parameters based on user priorities.
[0029] Furthermore, generating the required light field parameters based on the riding information further includes:
[0030] It is determined whether a passenger in the vehicle inputs an additional required light field instruction, and the generated required light field parameters are modified according to the additional required light field instruction.
[0031] Furthermore, matching the required light field parameters with vehicle model data, retrieving the light path algorithm corresponding to the installation position of the in-vehicle reading light, and generating the light path adjustment instruction includes:
[0032] Read the installation position parameters of the reading light in the model data of the current vehicle, and extract the matching light path algorithm according to the installation position parameters;
[0033] Calculating a curvature target value of an adjustable lens group in a reading lamp based on the optical path algorithm and the required light field data;
[0034] The color temperature and brightness of the reading light are synchronously adjusted based on the curvature target value, and a light path adjustment instruction is generated.
[0035] Furthermore, the light path algorithm includes the light spot diffusion angle of the reading light and the curvature parameter of the anti-glare lens.
[0036] Furthermore, the step of synchronously adjusting the color temperature and brightness of the reading light based on the curvature target value and generating a light path adjustment instruction includes:
[0037] When a sudden change in external light is detected, a dynamic compensation algorithm is triggered, and the color temperature and brightness of the reading light are adjusted with a hysteresis based on the dynamic compensation algorithm.
[0038] The present invention also provides an automatic dimming system for a car reading light, which is used to implement the above-mentioned automatic dimming method for a car reading light. The system includes:
[0039] an ambient light calibration signal generation module, the ambient light calibration signal generation module being configured to collect in-vehicle light field data based on an ambient light sensor and to generate an ambient light calibration signal based on the in-vehicle light field data;
[0040] an initial dimming instruction generation module, the initial dimming instruction generation module being configured to parse the ambient light calibration signal, generate an ambient light intensity threshold, and generate an initial dimming instruction according to the ambient light intensity threshold;
[0041] a required light field parameter generation module, the required light field parameter generation module being used to obtain passenger riding information in the vehicle and generate required light field parameters based on the riding information;
[0042] an optical path adjustment instruction generation module, the optical path adjustment instruction generation module being used to match the required light field parameters with the vehicle model data, retrieve the optical path algorithm corresponding to the installation position of the in-vehicle reading light, and generate an optical path adjustment instruction;
[0043] An automatic dimming module is used to dim the in-vehicle reading light in combination with the initial dimming instruction and the light path adjustment instruction.
[0044] The present invention provides an automatic dimming method and system for reading lights in automobiles. The method generates an ambient light calibration signal by collecting light field data in the vehicle, and generates an ambient light intensity threshold by analyzing the signal, thereby generating an initial dimming instruction, effectively filtering out the interference of ambient light outside the vehicle and improving the subsequent adjustment accuracy. The method generates the required light field parameters by allocating the priorities of passengers in the vehicle, meeting the personalized needs of different users and optimizing the user experience. The method extracts vehicle model data, dynamically matches the optical path algorithm of the reading light, and generates corresponding optical path adjustment instructions, significantly improving the adjustment accuracy of the reading light in complex vehicle-mounted scenarios and optimizing the user experience. BRIEF DESCRIPTION OF THE DRAWINGS
[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0046] Figure 1 This is a flow chart of the automatic adjustment method of the car reading light in the first embodiment of the present invention;
[0047] Figure 2 is a flow chart of generating an ambient light calibration signal in embodiment 1 of the present invention;
[0048] Figure 3 This is a flowchart of generating an initial dimming instruction in the first embodiment of the present invention;
[0049] Figure 4 This is a flow chart of generating required light field parameters in the first embodiment of the present invention;
[0050] Figure 5 This is a flow chart of generating an optical path adjustment instruction in the first embodiment of the present invention;
[0051] Figure 6 This is a diagram of the architecture of the automatic adjustment system for the reading light in a car in the second embodiment of the present invention. DETAILED DESCRIPTION
[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.
[0053] In the present invention, it should be understood that terms such as "include" or "have" are intended to indicate the presence of features, numbers, steps, behaviors, components, parts or their combinations disclosed in this specification, and are not intended to exclude the possibility that one or more other features, numbers, steps, behaviors, components, parts or their combinations exist or are added.
[0054] It should also be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present invention can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.
[0055] Example 1
[0056] Embodiment 1 of the present invention provides a method for automatically adjusting a reading light in a car, the method comprising: collecting light field data in the car based on an ambient light sensor, and generating an ambient light calibration signal based on the light field data in the car; parsing the ambient light calibration signal, generating an ambient light intensity threshold, and generating an initial dimming instruction according to the ambient light intensity threshold; obtaining passenger riding information in the car, and generating required light field parameters based on the riding information; matching the required light field parameters with vehicle model data, retrieving the optical path algorithm corresponding to the installation position of the reading light in the car, and generating an optical path adjustment instruction; and dimming the reading light in the car in combination with the initial dimming instruction and the optical path adjustment instruction.
[0057] In an optional implementation of this embodiment, as Figure 1 As shown, Figure 1 A flow chart of an automatic adjustment method for a car reading light in a first embodiment of the present invention is shown, comprising the following steps:
[0058] S101, collecting in-vehicle light field data based on an ambient light sensor, and generating an ambient light calibration signal based on the in-vehicle light field data;
[0059] In an optional implementation of this embodiment, collecting the in-vehicle light field data based on the ambient light sensor includes: collecting the in-vehicle RGB visible spectrum intensity data based on the RGB visible light sensor; and collecting the window coating shortwave infrared reflectivity data based on the shortwave infrared sensor.
[0060] Specifically, the key reason why traditional monochromatic light sensors cannot distinguish between effective light sources and environmental interference light sources is that monochromatic light sensors can only sense a single color of light. According to the principle of three primary colors, visible light mainly includes red, green and blue, namely RGB. Here, an RGB visible light sensor is used to collect RGB visible spectrum intensity data inside the car, so that the collected data can better reflect the characteristics of the light field data inside the car.
[0061] Furthermore, it is considered to use a short-wave infrared sensor to collect the reflectivity data of the window coating in the 1550nm band to reflect the misjudgment of the characteristics of the light field data inside the car due to the reflection of the window.
[0062] In an optional implementation of this embodiment, as Figure 2 As shown, Figure 2 A flow chart of generating an ambient light calibration signal in the first embodiment of the present invention is shown, including the following steps:
[0063] S201, analyzing and integrating the RGB visible spectrum intensity data inside the vehicle and the short-wave infrared reflectivity data of the window coating to calculate the illumination intensity and glare index of the ambient light incident from outside the vehicle;
[0064] In an optional implementation of this embodiment, the process of analyzing and fusing the in-vehicle RGB visible spectrum intensity data and the window coating short-wave reflectivity data includes: converting the in-vehicle RGB visible spectrum intensity data into irradiance data, and converting the window coating short-wave reflectivity data into a reflection interference component.
[0065] Furthermore, the calculation formula of the irradiance data includes:
[0066]
[0067] Where, is the irradiance, is the RGB visible light sensor calibration coefficient, 、 、 are the visible spectrum intensity of red light, the visible spectrum intensity of green light, and the visible spectrum intensity of blue light, respectively. 、 、 are the conversion coefficients of red, green and blue light respectively.
[0068] Furthermore, the calculation formula of the reflection interference component includes:
[0069]
[0070] Where, is the reflection interference component, The value is 0.5lx, The value is 0.01nm -1 , is the short-wave reflectivity data of the window coating, It is the reflection interference critical value, which is 80%.
[0071] In an optional implementation of this embodiment, the calculation formula for the light intensity includes:
[0072]
[0073] The calculation formula of the glare index includes:
[0074]
[0075] Where, is the light intensity, is the glare index, is the irradiance, is the reflection interference component, is the average brightness of the environment, The brightness of the reading area of the reading light, is the angle between the light source and the line of sight.
[0076] S202: Determine whether there is a strong glare scene in the vehicle interior environment based on the calculated light intensity and glare index;
[0077] In an optional implementation of this embodiment, a threshold for determining a strong glare scene is set, and whether a strong glare scene exists is determined based on the light intensity and glare index calculated and obtained in step S201.
[0078] Specifically, the threshold of the light intensity is set to 1000 lux, and the threshold of the glare index is set to 5. When the light intensity is greater than 1000 lux and the glare index is greater than 5, it is determined that a strong glare scene exists; otherwise, it is determined that no strong glare scene exists.
[0079] S203, triggering glare dynamic threshold adjustment to generate a dynamic glare calibration signal;
[0080] In an optional implementation of this embodiment, if it is determined in step S202 that a strong glare scene exists, the glare dynamic threshold adjustment is triggered to generate a dynamic glare calibration signal. The expression of the dynamic glare calibration signal is:
[0081]
[0082] Where, For dynamic glare calibration signal, is the light intensity, This is the short-wave reflectivity data of the car window coating.
[0083] S204: Triggering glare static threshold adjustment to generate a static glare calibration signal.
[0084] In an optional implementation of this embodiment, if it is determined in step S202 that there is no strong glare scene, the glare static threshold adjustment is triggered to generate a static glare calibration signal. .
[0085] S102, analyzing the ambient light calibration signal to generate an ambient light intensity threshold, and generating an initial dimming instruction according to the ambient light intensity threshold;
[0086] In an optional implementation of this embodiment, as Figure 3 As shown, Figure 3 The flowchart of generating the initial dimming instruction in the first embodiment of the present invention is shown, including the following steps:
[0087] S301, analyzing the light intensity and glare index in the ambient light calibration signal, determining whether it is within a preset glare risk range, and generating a glare risk mark;
[0088] In an optional implementation of this embodiment, a glare risk interval is preset and a glare index is extracted. Floating point value to determine the glare index Is the floating point value of the glare risk range within the preset range? If the floating point value of is within the preset glare risk range, a glare risk mark is generated. .
[0089] S302, calculating an anti-glare compensation coefficient based on the glare risk mark;
[0090] In an optional implementation of this embodiment, when the glare risk mark After generation, the anti-glare compensation mechanism is triggered and the anti-glare compensation coefficient is calculated , expressions include:
[0091]
[0092] It should be noted that, when it is detected that the user performs manual adjustment, the anti-glare compensation coefficient is forcibly set to 1.
[0093] S303, analyzing the light intensity and glare index according to a preset nonlinear light intensity adjustment curve, and calculating basic brightness;
[0094] In an optional implementation of this embodiment, three brightness reference coefficients are determined based on a preset nonlinear light intensity adjustment curve, and the illumination intensity and glare index are analyzed based on the three brightness reference coefficients to calculate the basic brightness. The calculation formula includes:
[0095]
[0096] Where, is the basic brightness, 、 、 are three brightness reference coefficients, is the light intensity, is the glare index.
[0097] S304: generating an ambient light intensity threshold based on the anti-glare compensation coefficient, the basic brightness, and the glare index;
[0098] In an optional implementation of this embodiment, the calculation formula of the ambient light intensity threshold includes:
[0099]
[0100] Where, is the ambient light intensity threshold, is the basic brightness, is the anti-glare compensation index, is the reflection interference component.
[0101] S305: Match and package the ambient light intensity threshold and the timestamp to generate an initial dimming instruction.
[0102] In an optional implementation of this embodiment, the ambient light intensity threshold value calculated in step S304 is After matching and packaging with the timestamp, the initial dimming instruction is generated.
[0103] S103, obtaining passenger information in the vehicle, and generating required light field parameters based on the passenger information;
[0104] In an optional implementation of this embodiment, as Figure 4 As shown, Figure 4 The flowchart of generating required light field parameters in the first embodiment of the present invention is shown, including the following steps:
[0105] S401, obtaining the two-dimensional coordinates and attitude angles of passengers in the vehicle based on UWB positioning and weight perception;
[0106] In an optional implementation of this embodiment, the two-dimensional coordinates of the passengers in the car are obtained based on the UWB positioning module and the weight sensing module. , and determine the posture angle of passengers in the car based on the millimeter wave radar module .
[0107] Specifically, the UWB positioning module is used to locate the seating position of the passengers in the car, and the weight of the seat is sensed by the weight steel module to confirm it. Then, the millimeter-wave radar is used to detect the micro-movements of the passengers' heads in the car and generate the posture angle.
[0108] S402: converting the two-dimensional coordinates into three-dimensional coordinates in a vehicle coordinate system, and obtaining a tilt direction of the head of the passenger in the vehicle in combination with the posture angle;
[0109] In an optional implementation of this embodiment, the coordinates in the vehicle coordinate system are generated based on the ranging time of the millimeter wave radar combined with the two-dimensional coordinates. , combine the two-dimensional coordinates to generate three-dimensional coordinates , and extract the passenger's ear-nose tip line inclination angle and posture angle Get the head tilt direction of passengers in the car.
[0110] S403, assigning user priorities based on the three-dimensional coordinates and head tilt directions of the passengers in the vehicle;
[0111] In an optional implementation of this embodiment, according to the three-dimensional coordinates of the passengers in the vehicle in the vehicle coordinate system , and head tilt direction, dynamically assign user priorities.
[0112] Specifically, user priorities are dynamically allocated based on stratification according to coordinates, including front and back rows, front driver's seat and co-driver's seat, and weighted by distance from the center of the reading light within the same row.
[0113] S404: Generate required light field parameters according to user priorities.
[0114] In an optional implementation of this embodiment, the required light field parameters are generated according to the user priorities of different passengers. The required light field parameters include target illumination .
[0115] It should be noted that it is determined whether the passenger in the vehicle inputs an additional required light field instruction, and the generated required light field parameters are corrected according to the additional required light field instruction.
[0116] Specifically, when it is detected that a passenger in the vehicle inputs an additional required light field instruction, the user priority is adjusted according to the additional required light field instruction, and then the generated required light field parameters are corrected.
[0117] Furthermore, in an area within 30 cm around the position of the passenger in the vehicle who input the additional required light field instruction, the correction of the additional required light field parameter is canceled.
[0118] S104, matching the required light field parameters with the vehicle model data, retrieving the light path algorithm corresponding to the installation position of the in-vehicle reading light, and generating a light path adjustment instruction;
[0119] In an optional implementation of this embodiment, as Figure 5 As shown, Figure 5 The flowchart of generating an optical path adjustment instruction in the first embodiment of the present invention is shown, including the following steps:
[0120] S501, reading the installation position parameters of the reading light in the model data of the current vehicle, and extracting a matching light path algorithm according to the installation position parameters;
[0121] In an optional implementation of this embodiment, the vehicle model of the current vehicle is matched with the vehicle model database, the vehicle model data of the current vehicle is extracted, and the installation position parameters of the reading light in the vehicle model data of the current vehicle are read, and the matching optical path algorithm is extracted based on the installation position parameters.
[0122] Specifically, the installation position parameters of the reading light generally include specific installation position information such as the central installation of the ceiling or the installation of two lights on the left and right sides, and specifically include the ceiling curvature radius , Lamp body inclination and installation height .
[0123] Furthermore, according to the installation position parameters of the reading light, including the ceiling curvature radius , Lamp body inclination and installation height , extract matching light path algorithm.
[0124] Specifically, the light path algorithm includes the light spot diffusion angle of the reading light Anti-glare lens curvature parameters , the calculation formula includes:
[0125]
[0126]
[0127] Where, is the light spot diffusion angle, is the curvature parameter of the anti-glare lens, is the spot width, is the ceiling curvature radius, is the lamp body inclination angle, For installation height.
[0128] S502, calculating a curvature target value of an adjustable lens group in a reading light based on the optical path algorithm and the required light field data;
[0129] In an optional implementation of this embodiment, based on the light spot diffusion angle in the light path algorithm Anti-glare lens curvature parameters Combined with the target illumination in the required light field data , calculate the curvature target value of the adjustable lens group in the reading lamp, the calculation formula includes:
[0130]
[0131]
[0132] Where, is the optimized spot diffusion angle, is the curvature target value of the adjustable lens group, is the light spot diffusion angle, is the target illumination, is the glare index optimization coefficient, is the glare index, is the curvature parameter of the anti-glare lens, is the ambient temperature and humidity compensation coefficient, is the light intensity.
[0133] S503: Synchronously adjust the color temperature and brightness of the reading light based on the curvature target value, and generate a light path adjustment instruction.
[0134] In an optional implementation of this embodiment, based on the curvature target value and optimized spot diffusion angle Synchronously adjust the color temperature and brightness of the reading light and generate light path adjustment instructions.
[0135] It should be noted that when a sudden change in external light is detected, the dynamic compensation algorithm is triggered, and the color temperature and brightness of the reading light are adjusted with a lag based on the dynamic compensation algorithm.
[0136] Specifically, when a sudden change in external light is detected, the dynamic compensation algorithm is triggered to adjust the driving current of the reading light so that the color temperature and brightness of the reading light form a hysteresis adjustment.
[0137] S105 , dimming the in-vehicle reading light in combination with the initial dimming instruction and the light path adjustment instruction.
[0138] In an optional implementation of this embodiment, the initial dimming instruction and the light path adjustment instruction are combined to perform automatic dimming processing on the in-vehicle reading light.
[0139] In summary, embodiment 1 of the present invention provides a method for automatic adjustment of reading lights in a car. It generates an ambient light calibration signal by collecting light field data in the car, and generates an ambient light intensity threshold by analyzing the signal, thereby generating an initial dimming instruction, effectively filtering out the interference of ambient light outside the car and improving the subsequent adjustment accuracy; generating required light field parameters by allocating the priorities of passengers in the car, meeting the personalized needs of different users and optimizing the user experience; extracting vehicle model data, dynamically matching the optical path algorithm of the reading light, and generating corresponding optical path adjustment instructions, thereby significantly improving the adjustment accuracy of the reading light in complex vehicle-mounted scenarios and optimizing the user experience.
[0140] Example 2
[0141] Embodiment 2 of the present invention provides an automatic adjustment system for a reading light in a car. The automatic dimming system for a reading light in a car is used to implement the automatic dimming method for a reading light in a car described in embodiment 1. The system includes: an ambient light calibration signal generation module, an initial dimming instruction generation module, a required light field parameter generation module, an optical path adjustment instruction generation module, and an automatic dimming module.
[0142] In an optional implementation of this embodiment, as Figure 6 As shown, Figure 6 The following diagram shows the architecture of the automatic adjustment system for the car reading light in the second embodiment of the present invention, including the following modules:
[0143] An ambient light calibration signal generating module 10 is configured to collect in-vehicle light field data based on an ambient light sensor and generate an ambient light calibration signal based on the in-vehicle light field data;
[0144] In an optional implementation of this embodiment, collecting the in-vehicle light field data based on the ambient light sensor includes:
[0145] Collect RGB visible spectrum intensity data in the car based on RGB visible light sensor;
[0146] The short-wave infrared reflectivity data of the vehicle window coating is collected based on the short-wave infrared sensor.
[0147] In an optional implementation of this embodiment, generating an ambient light calibration signal based on the in-vehicle light field data includes:
[0148] Analyze and fuse the RGB visible spectrum intensity data inside the vehicle and the short-wave infrared reflectivity data of the window coating to calculate the illumination intensity and glare index of the ambient light entering the vehicle from outside;
[0149] Based on the calculated light intensity and glare index, determine whether there is a strong glare scene in the vehicle environment;
[0150] If it is determined that there is a strong glare scene, the glare dynamic threshold adjustment is triggered to generate a dynamic glare calibration signal;
[0151] If it is determined that there is no glare scene, the glare static threshold adjustment is triggered to generate a static glare calibration signal.
[0152] an initial dimming instruction generating module 20, the initial dimming instruction generating module 20 being configured to parse the ambient light calibration signal, generate an ambient light intensity threshold, and generate an initial dimming instruction according to the ambient light intensity threshold;
[0153] In an optional implementation of this embodiment, parsing the ambient light calibration signal, generating an ambient light intensity threshold, and generating an initial dimming instruction according to the ambient light intensity threshold includes:
[0154] Analyzing the light intensity and glare index in the ambient light calibration signal, determining whether the light intensity and glare index are within a preset glare risk range, and generating a glare risk mark;
[0155] calculating an anti-glare compensation coefficient based on the glare risk mark;
[0156] Analyzing the light intensity and glare index according to a preset nonlinear light intensity adjustment curve to calculate basic brightness;
[0157] generating an ambient light intensity threshold based on the anti-glare compensation coefficient, the basic brightness, and the glare index;
[0158] The ambient light intensity threshold is matched and packaged with the timestamp to generate an initial dimming instruction.
[0159] A required light field parameter generating module 30 is configured to obtain passenger riding information in the vehicle and generate required light field parameters based on the riding information;
[0160] In an optional implementation of this embodiment, obtaining passenger seating information in the vehicle and generating required light field parameters based on the seating information includes:
[0161] Obtain the two-dimensional coordinates and attitude angles of passengers in the car based on UWB positioning and weight perception;
[0162] Converting the two-dimensional coordinates into three-dimensional coordinates in a vehicle coordinate system, and combining the attitude angle to obtain the tilt direction of the head of the passenger in the vehicle;
[0163] Assign user priorities based on the two-dimensional coordinates and head tilt direction of passengers in the car;
[0164] Generate required light field parameters based on user priorities.
[0165] In an optional implementation of this embodiment, generating the required light field parameters based on the riding information further includes:
[0166] It is determined whether a passenger in the vehicle inputs an additional required light field instruction, and the generated required light field parameters are modified according to the additional required light field instruction.
[0167] An optical path adjustment instruction generation module 40 is used to match the required light field parameters with the vehicle model data, retrieve the optical path algorithm corresponding to the installation position of the in-vehicle reading light, and generate an optical path adjustment instruction;
[0168] In an optional implementation of this embodiment, matching the required light field parameters with vehicle model data, retrieving a light path algorithm corresponding to the installation position of the in-vehicle reading light, and generating a light path adjustment instruction includes:
[0169] Read the installation position parameters of the reading light in the model data of the current vehicle, and extract the matching light path algorithm according to the installation position parameters;
[0170] Calculating a curvature target value of an adjustable lens group in a reading lamp based on the optical path algorithm and the required light field data;
[0171] The color temperature and brightness of the reading light are synchronously adjusted based on the curvature target value, and a light path adjustment instruction is generated.
[0172] In an optional implementation of this embodiment, the light path algorithm includes a light spot diffusion angle of the reading light and a curvature parameter of an anti-glare lens.
[0173] In an optional implementation of this embodiment, synchronously adjusting the color temperature and brightness of the reading light based on the curvature target value and generating a light path adjustment instruction includes:
[0174] When a sudden change in external light is detected, a dynamic compensation algorithm is triggered, and the color temperature and brightness of the reading light are adjusted with a hysteresis based on the dynamic compensation algorithm.
[0175] The automatic dimming module 50 is used to dim the in-vehicle reading light in combination with the initial dimming instruction and the light path adjustment instruction.
[0176] In summary, embodiment 2 of the present invention provides an automatic adjustment system for reading lights in a car, and the automatic dimming system for reading lights in a car is used to implement the automatic dimming method for reading lights in a car described in embodiment 1, by collecting light field data in the car, generating an ambient light calibration signal, and generating an ambient light intensity threshold by analyzing the signal, and then generating an initial dimming instruction, effectively filtering out the interference of ambient light outside the car, and improving the subsequent adjustment accuracy; generating required light field parameters by allocating priorities of passengers in the car, meeting the personalized needs of different users, and optimizing the user experience; extracting vehicle model data, dynamically matching the optical path algorithm of the reading light, and generating corresponding optical path adjustment instructions, significantly improving the adjustment accuracy of the reading light in complex vehicle-mounted scenes, and optimizing the user experience.
[0177] The above is a detailed introduction to the automatic adjustment method and system for the reading light in a car provided by the present invention. A person skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the relevant hardware through a program. The program can be stored in a computer-readable storage medium, and the storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.
[0178] In addition, the embodiments of the present invention are introduced in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.
Claims
1. A method for automatically dimming a reading light in a car, characterized in that: The method comprises: collecting in-vehicle light field data based on an ambient light sensor, and generating an ambient light calibration signal based on the in-vehicle light field data; parsing the ambient light calibration signal to generate an ambient light intensity threshold, and generating an initial dimming instruction according to the ambient light intensity threshold; Acquiring passenger information in the vehicle, and generating required light field parameters based on the passenger information; The obtaining of in-vehicle passenger riding information and generating required light field parameters based on the riding information includes: obtaining two-dimensional coordinates and attitude angles of the in-vehicle passengers based on UWB positioning and weight perception; converting the two-dimensional coordinates into three-dimensional coordinates in a vehicle coordinate system, and obtaining a head tilt direction of the in-vehicle passengers in combination with the attitude angles; assigning user priorities based on the three-dimensional coordinates and head tilt directions of the in-vehicle passengers; and generating required light field parameters based on the user priorities. Matching the required light field parameters with the vehicle model data, retrieving the light path algorithm corresponding to the installation position of the reading light in the vehicle, and generating a light path adjustment instruction; The matching of the required light field parameters with the vehicle model data, retrieving the light path algorithm corresponding to the installation position of the reading light in the vehicle, and generating the light path adjustment instruction includes: reading the installation position parameters of the reading light in the vehicle model data of the current vehicle, and extracting a matching light path algorithm based on the installation position parameters; calculating a curvature target value of an adjustable lens group in the reading light based on the light path algorithm and the required light field parameters; synchronously adjusting the color temperature and brightness of the reading light based on the curvature target value, and generating the light path adjustment instruction; The initial dimming instruction and the light path adjustment instruction are combined to perform dimming processing on the in-vehicle reading light.
2. The automatic dimming method for a car reading light according to claim 1, wherein: The collecting of in-vehicle light field data based on the ambient light sensor includes: Collect RGB visible spectrum intensity data in the car based on RGB visible light sensor; The short-wave infrared reflectivity data of the vehicle window coating is collected based on the short-wave infrared sensor.
3. The automatic dimming method for a car reading light according to claim 2, wherein: Generating an ambient light calibration signal based on the in-vehicle light field data includes: Analyze and fuse the RGB visible spectrum intensity data inside the vehicle and the short-wave infrared reflectivity data of the window coating to calculate the illumination intensity and glare index of the ambient light entering the vehicle from outside; Based on the calculated light intensity and glare index, determine whether there is a strong glare scene in the vehicle environment; If it is determined that there is a strong glare scene, the glare dynamic threshold adjustment is triggered to generate a dynamic glare calibration signal; If it is determined that there is no glare scene, the glare static threshold adjustment is triggered to generate a static glare calibration signal.
4. The automatic dimming method for a car reading light according to claim 3, wherein: The step of analyzing the ambient light calibration signal, generating an ambient light intensity threshold, and generating an initial dimming instruction according to the ambient light intensity threshold comprises: Analyzing the light intensity and glare index in the ambient light calibration signal, determining whether the light intensity and glare index are within a preset glare risk range, and generating a glare risk mark; calculating an anti-glare compensation coefficient based on the glare risk mark; Analyzing the light intensity and glare index according to a preset nonlinear light intensity adjustment curve to calculate basic brightness; generating an ambient light intensity threshold based on the anti-glare compensation coefficient, the basic brightness, and the glare index; The ambient light intensity threshold is matched and packaged with the timestamp to generate an initial dimming instruction.
5. The automatic dimming method for a car reading light according to claim 1, wherein: The generating of the required light field parameters based on the riding information further includes: It is determined whether a passenger in the vehicle inputs an additional required light field instruction, and the generated required light field parameters are modified according to the additional required light field instruction.
6. The automatic dimming method for a car reading light according to claim 1, wherein: The light path algorithm includes the light spot diffusion angle of the reading lamp and the curvature parameter of the anti-glare lens.
7. The automatic dimming method for a car reading light according to claim 1, wherein: The step of synchronously adjusting the color temperature and brightness of the reading light based on the curvature target value and generating a light path adjustment instruction includes: When a sudden change in external light is detected, a dynamic compensation algorithm is triggered, and the color temperature and brightness of the reading light are adjusted with a hysteresis based on the dynamic compensation algorithm.
8. An automatic dimming system for a car reading light, characterized in that: The automatic dimming system for a car reading light is used to implement the automatic dimming method for a car reading light according to any one of claims 1 to 7, and the system comprises: an ambient light calibration signal generation module, the ambient light calibration signal generation module being configured to collect in-vehicle light field data based on an ambient light sensor and to generate an ambient light calibration signal based on the in-vehicle light field data; an initial dimming instruction generation module, the initial dimming instruction generation module being configured to parse the ambient light calibration signal, generate an ambient light intensity threshold, and generate an initial dimming instruction according to the ambient light intensity threshold; a required light field parameter generation module, the required light field parameter generation module being used to obtain passenger riding information in the vehicle and generate required light field parameters based on the riding information; The obtaining of in-vehicle passenger riding information and generating required light field parameters based on the riding information includes: obtaining two-dimensional coordinates and attitude angles of the in-vehicle passengers based on UWB positioning and weight perception; converting the two-dimensional coordinates into three-dimensional coordinates in a vehicle coordinate system, and obtaining a head tilt direction of the in-vehicle passengers in combination with the attitude angles; assigning user priorities based on the three-dimensional coordinates and head tilt directions of the in-vehicle passengers; and generating required light field parameters based on the user priorities. an optical path adjustment instruction generation module, the optical path adjustment instruction generation module being used to match the required light field parameters with the vehicle model data, retrieve the optical path algorithm corresponding to the installation position of the in-vehicle reading light, and generate an optical path adjustment instruction; The matching of the required light field parameters with the vehicle model data, retrieving the light path algorithm corresponding to the installation position of the reading light in the vehicle, and generating the light path adjustment instruction includes: reading the installation position parameters of the reading light in the vehicle model data of the current vehicle, and extracting a matching light path algorithm based on the installation position parameters; calculating a curvature target value of an adjustable lens group in the reading light based on the light path algorithm and the required light field parameters; synchronously adjusting the color temperature and brightness of the reading light based on the curvature target value, and generating the light path adjustment instruction; An automatic dimming module is used to dim the in-vehicle reading light in combination with the initial dimming instruction and the light path adjustment instruction.
Citation Information
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