A dimming method and system for vehicle interior illumination

Abstract

The present application provides a dimming method and system for a vehicle, the method comprising: monitoring a driver state in real time; determining a driver fatigue level based on the monitored driver state, the driver fatigue level indicating a degree of fatigue of the driver; and adjusting spectral data of a light source inside the vehicle to target spectral data conforming to a preset rhythm evaluation index based on the determined driver fatigue level, wherein the rhythm evaluation index is associated with a driving demand of the driver. In addition, the present application also provides a vehicle supporting dimming.

Description

Technical Field

[0001] This invention relates to the field of vehicle lighting, and more specifically, to a dimming method and system for vehicle interior lighting. Background Technology

[0002] At present, fatigue driving monitoring technology based on various in-vehicle sensors is a research focus in the field of traffic safety. For example, when the driver monitoring system (DMS) installed in the vehicle detects fatigue, it usually uses various warning methods to remind the driver in order to improve their alertness.

[0003] For example, a DMS system might display warning signals on the vehicle's dashboard, such as flashing icons or text messages, to inform the driver that they may be fatigued or distracted. It might also issue audible alerts, such as beeps or other audio prompts, to attract the driver's attention and remind them that they need a rest. Additionally, some systems may alert the driver through seat vibrations or other forms of tactile feedback.

[0004] However, current fatigue monitoring and warning technologies do not consider quantifying driver fatigue levels or personalizing in-vehicle lighting based on different levels of fatigue to improve driver perception and alertness, for example, through rhythmic effects.

[0005] Therefore, in order to improve driver alertness by providing personalized lighting solutions when drivers are fatigued, it is desirable to provide a dimming solution for vehicle interior lighting that can quantify the degree of driver fatigue and personalize the interior lighting (e.g., through metamerism technology), thereby improving driving safety, preventing accidents caused by fatigued driving, and improving the user experience. Summary of the Invention

[0006] This summary is provided to introduce, in a simplified form, some concepts that will be further described in the following detailed description. This summary is not intended to identify key or essential features of the claimed subject matter, nor is it intended to help determine the scope of the claimed subject matter.

[0007] To address the above problems, according to a first aspect of the present invention, a dimming method for vehicle interior lighting is provided, the method comprising: real-time monitoring of driver status; determining a driver fatigue level based on the monitored driver status, the driver fatigue level indicating the degree of driver fatigue; and adjusting the spectral data of the vehicle interior light source to target spectral data conforming to a preset rhythm evaluation index based on the determined driver fatigue level, wherein the rhythm evaluation index is associated with the driver's driving needs.

[0008] In the embodiments of the present invention, by monitoring the driver's state in real time and quantifying the driver's fatigue level, corresponding dimming operations can be performed based on different fatigue levels. In combination with consideration of the rhythm effect, the driver can be helped to stay alert and improve driving safety by changing the internal lighting environment (changing the spectrum or color of light, etc.).

[0009] According to one embodiment of the present invention, the driver fatigue level is classified into mild fatigue, moderate fatigue, or severe fatigue, wherein adjusting the spectral data of the vehicle interior light source to target spectral data that conforms to a preset rhythm evaluation index based on the determined driver fatigue level further includes: in the case of mild fatigue, only the spectral data of the multi-channel spectrum of the light source is changed, while the color and brightness of the light source remain unchanged; in the case of moderate or severe fatigue, the color or brightness of the light source is further changed while the spectral data is changed.

[0010] According to a further embodiment of the present invention, the rhythm evaluation index includes one or more of the following: melanopsine equivalent daylight illuminance (mel EDI), melanopsine equivalent lux (EML), and spectral blue light ratio, which are related to the human rhythm effect.

[0011] According to a further embodiment of the present invention, in the case of moderate fatigue, adjusting the spectral data of the vehicle interior light source to target spectral data that conforms to a preset rhythm evaluation index further includes: increasing the brightness of the light source or adding more blue light components when changing the spectral data to conform to the preset rhythm evaluation index.

[0012] According to a further embodiment of the present invention, in the case of severe fatigue, adjusting the spectral data of the vehicle's internal light source to target spectral data that conforms to a preset rhythm evaluation index further includes: flashing a red light and reminding the user through voice, touch, or interface display when the spectral data is changed to conform to the preset rhythm evaluation index.

[0013] According to a further embodiment of the present invention, real-time monitoring of driver status further includes: real-time acquisition and analysis of driver status data regarding the driver's facial features, physiological signs and driving behavior; and monitoring the driver's status by combining multiple fatigue indicators, wherein the fatigue indicators include one or more of the following: eye closure time (PERCLOS), blinking frequency, eyelid movement, head movement, facial expression or yawning frequency.

[0014] According to a further embodiment of the present invention, determining the driver fatigue level based on the monitored driver state further includes: feeding the driver state data into a trained AI model to obtain a quantified driver fatigue level.

[0015] According to a further embodiment of the present invention, determining the driver fatigue level based on the monitored driver state further includes: determining the driver fatigue level based on the monitored driver state in conjunction with the Karolinska Sleepiness Scale (KSS) score, wherein a KSS score of 6 indicates mild driver fatigue, a KSS score of 7 to 8 indicates moderate driver fatigue, and a KSS score of 8 to 9 indicates severe driver fatigue.

[0016] According to a further embodiment of the present invention, the method further includes: determining the current vehicle state and road condition information of the vehicle's location; and when the vehicle state indicates that the vehicle is in a driving state and the road condition information indicates a high driving risk, adjusting the spectral data of the vehicle's internal light source to target spectral data that conforms to a preset rhythm evaluation index in conjunction with the driver's fatigue level.

[0017] According to a further embodiment of the present invention, the method further includes: determining whether the ambient light state outside the vehicle has changed; and based on determining that the ambient light state has changed, adjusting the spectral data of the light source inside the vehicle to target spectral data that conforms to a preset rhythm evaluation index in conjunction with the driver's fatigue level.

[0018] According to a second aspect of the present invention, a dimming system for vehicle interior lighting is provided, the system comprising: a driver state monitoring module for real-time monitoring of driver state; a fatigue level quantification module for determining a driver fatigue level based on the monitored driver state, the driver fatigue level indicating the degree of driver fatigue; and a dimming module for adjusting the spectral data of the vehicle interior light source to target spectral data conforming to a preset rhythm evaluation index based on the determined driver fatigue level, wherein the rhythm evaluation index is associated with the driver's driving needs.

[0019] According to one embodiment of the present invention, the driver fatigue level is divided into mild fatigue, moderate fatigue, or severe fatigue, wherein the dimming module is further configured to: in the case of mild fatigue, only change the spectral data of the multi-channel spectrum of the light source, while the color and brightness of the light source remain unchanged; in the case of moderate or severe fatigue, further change the color or brightness of the light source while changing the spectral data.

[0020] According to a further embodiment of the present invention, the rhythm evaluation index includes one or more of the following: melanopsine equivalent daylight illuminance (mel EDI), melanopsine equivalent lux (EML), and spectral blue light ratio, which are related to the human rhythm effect.

[0021] According to a further embodiment of the present invention, the dimming module is further configured to: in the case of moderate fatigue, increase the brightness of the light source or add more blue light components when the spectral data is changed to meet the preset rhythm evaluation index; in the case of severe fatigue, flash a red light and remind the user through voice, touch or interface display when the spectral data is changed to meet the preset rhythm evaluation index.

[0022] According to a third aspect of the invention, a vehicle is provided that includes a dimming system as described in any of the preceding aspects.

[0023] These and other features and advantages will become apparent from the following detailed description and with reference to the accompanying drawings. It should be understood that the foregoing general description and the following detailed description are illustrative only and do not limit the scope of the claims. Attached Figure Description

[0024] To gain a more detailed understanding of the manner in which the features of the present invention are described above, reference can be made to various embodiments to provide a more specific description of the above-briefly summarized aspects, some of which are illustrated in the accompanying drawings. However, it should be noted that the drawings illustrate only certain typical aspects of the invention and should not be considered as limiting its scope, as this description may allow for other equivalent and effective aspects.

[0025] Figure 1 A schematic diagram of a dimming system for vehicle interior lighting according to an embodiment of the present invention is shown.

[0026] Figure 2 A schematic diagram of metamerism according to an embodiment of the present invention is shown.

[0027] Figure 3 A schematic diagram illustrating different dimming operations based on a KSS score according to an embodiment of the present invention is shown.

[0028] Figure 4 A schematic diagram of a dimming method for vehicle interior lighting according to an embodiment of the present invention is shown.

[0029] Figure 5 An exemplary vehicle supporting dimming is shown according to an embodiment of the present invention.

[0030] Figure 6 A schematic diagram of a dimming system for vehicle interior lighting according to an embodiment of the present invention is shown. Detailed Implementation

[0031] The present invention will now be described in detail with reference to the accompanying drawings, and its features will become further apparent from the following detailed description. Throughout this specification, the term "vehicle" refers to any type of automobile, including but not limited to cars, vans, trucks, buses, etc. For simplicity, the invention is described in relation to "automobiles." The terms "A or B" as used in this specification mean "A and B" and "A or B," and do not imply that A and B are exclusive unless otherwise stated.

[0032] Current in-vehicle lighting systems include ambient lighting, which can be integrated into smart cockpits to create an immersive experience. However, most current in-vehicle lighting systems can only perform simple dimming and color changing operations, without considering differentiated dimming for different levels of driver fatigue, or some non-visual effects (rhythmic effects), making it difficult to meet consumers' needs for personalization and intelligence.

[0033] In response, this application quantifies driver fatigue levels and, for example, uses metamerism technology to adjust the spectral distribution of different wavelengths, thereby achieving personalized dimming operation for different levels of fatigue, which helps drivers stay alert and improves driving safety.

[0034] Figure 1 A schematic architecture diagram of a dimming system 100 for vehicle interior lighting according to an embodiment of the present disclosure is shown. Figure 1 As shown, the system 100 may include at least a driver condition monitoring module 102, a fatigue level quantification module 104, and a dimming module 106.

[0035] The driver status monitoring module 102 can monitor the driver's status in real time.

[0036] In one embodiment, the driver state monitoring module 102 can collect and analyze driver state data on the driver's facial features, physiological signs and driving behavior in real time, and monitor the driver's state by combining multiple fatigue indicators, including but not limited to eye closure time (PERCLOS), blinking frequency, eyelid movement, head movement, facial expression or yawning frequency, etc.

[0037] In some situations, in-vehicle cameras can capture facial images of the driver and analyze features such as the frequency and duration of eye closure, blinking frequency, and yawning frequency. These features are strongly correlated with fatigue levels. For example, an increase in blinking frequency and an increase in the duration of eye closure (e.g., a PERCLOS value exceeding a certain threshold (e.g., 4%-15%)) usually indicates that the driver may be fatigued.

[0038] In other situations, for example, biosensors can be used to monitor the driver's physiological signals, such as heart rate and skin conductance, and changes in these signals may indicate the driver's level of fatigue.

[0039] In addition, driver behavior can be assessed, such as the regularity of steering wheel operation and the frequency of vehicle deviation from the lane. Changes in these behaviors can also reflect driver fatigue.

[0040] The fatigue level quantification module 104 can determine the driver fatigue level based on the monitored driver status, wherein the driver fatigue level indicates the degree of driver fatigue.

[0041] In one implementation, driver fatigue levels can be classified into three levels, for example: mild fatigue, moderate fatigue, and severe fatigue. Of course, it is understood that other suitable classification standards may also exist.

[0042] In one implementation, the driver fatigue level can be determined based on the monitored driver status, combined with the Karolinska Sleepiness Scale (KSS) score.

[0043] The KSS is a scale used to measure drowsiness levels over a specific time period, with scores ranging from 1 to 9, as shown in Table 1 below:

[0044] Fraction Scoring Criteria 1 Extremely clear-headed 2 Very clear-headed 3 wide awake 4 Relatively sober 5 Neither awake nor sleepy 6 Some signs of drowsiness 7 Feeling sleepy, but not trying to stay awake. 8 Feeling sleepy, but requires some effort to stay awake. 9 I'm extremely sleepy and need to exert a lot of effort to stay awake and fight off sleepiness.

[0045] Table 1

[0046] In one example, the KSS scale mentioned above can be used to roughly correspond to the driver's fatigue level. For instance, a KSS score of 6 corresponds to mild fatigue. At this stage, the driver may exhibit a slight increase in blinking frequency, occasional yawning, or slight eye closure. A KSS score between 7 and 8 corresponds to moderate fatigue. At this stage, the driver's fatigue manifestations will be more obvious, such as frequent blinking, multiple yawns, and prolonged eye closure. A KSS score between 8 and 9 corresponds to severe fatigue. At this stage, the driver may exhibit more obvious signs of fatigue, such as prolonged eye closure, repeated yawning, and forward head tilting.

[0047] It is important to note that a comprehensive assessment of driver fatigue should be conducted using multiple indicators (such as PERCLOS, blink rate, head movements, etc.) rather than relying solely on a single KSS score.

[0048] In another implementation, the driver's fatigue level can be quantified by using an artificial intelligence (AI) model (such as a deep learning algorithm) based on the collected driver status data to monitor and analyze the driver's fatigue status in real time.

[0049] The dimming module 106 can further adjust the spectral data of the vehicle's interior light source to target spectral data that conforms to a preset rhythm evaluation index based on the quantified driver fatigue level, wherein the rhythm evaluation index is related to the driver's driving needs.

[0050] In one implementation, in the case of mild driver fatigue (e.g., which may correspond to...), Figure 3 With a KSS score of 6, techniques such as metamerism can be used to change only the spectral data of the multi-channel spectrum of the light source, while the color and brightness of the light source remain unchanged. Figure 3 Dimming operation 302 in the middle.

[0051] For example, a four-color light source (also known as a four-channel light source) can be used for dimming. The principle is to introduce additional white or amber light sources, and the proportions of these four light sources can be adjusted according to the desired different colors of light, forming a new quadrilateral color gamut, thereby achieving effective control of the spectrum for the same color of light. See also Figure 2 It shows a schematic diagram of the above metamerism technique. Figure 2 As can be seen, while maintaining the consistency of the light source color (e.g., blue in the left image and purple in the right image), effective control of the spectrum can be achieved (e.g., by adjusting the ratio of light sources before and after to change the position and height of the spectral peaks; see [reference]). Figure 2 (The curve in the graph) thus achieves diverse dimming effects.

[0052] Therefore, without altering the driver's visual perception, it is possible to make the driver more alert to some extent by adjusting spectral data associated with non-visual effects (e.g., rhythmic effects).

[0053] In one implementation, rhythm evaluation indicators may include, but are not limited to, melanopoietic equivalent daylight illuminance (mel EDI), melanopoietic equivalent lux (EML), and the proportion of blue light in the spectrum, which are related to the effects of human rhythm.

[0054] For example, melanopic equivalent daylight illuminance (mel EDI) can be positively correlated with subjective alertness. Generally, in driving mode, higher EDI values ​​help improve alertness and safety; in rest mode, lower EDI values ​​are beneficial for driver rest. For indoor daytime lighting, the recommended minimum EDI is 250 lux, the recommended maximum EDI for nighttime lighting is 10 lux, and the recommended maximum EDI for sleep environments is 1 lux, all measured at a vertical plane at approximately 1.2 meters (i.e., vertical illuminance at eye level when seated). The formula for calculating melanopic equivalent daylight illuminance (mel EDI) is as follows:

[0055]

[0056] Among them, Ee,λ (λ) is taken in units of W / m 2 Measured values ​​of spectral power density distribution per unit area in the 380-780 nm wavelength range at / nm; S mel (λ) is the spectral photoluminescence efficiency function of melanopsin, with a peak sensitivity of 490 nm.

[0057] As mentioned above, when the rhythm evaluation index includes mel EDI, the desired EDI value can be determined first based on the driver's fatigue level, and the spectral data of the light source can be adjusted to the target spectral data that matches the EDI value. This can help to achieve different rhythmic effects with consistent light source color according to the quantified fatigue level. For example, in the case of mild driver fatigue, a target spectrum with a higher EDI value can be selected while keeping the light source color unchanged, thereby making the driver more alert and thus avoiding accidents.

[0058] Of course, it is understandable that any other suitable rhythm evaluation index can be used to adjust the spectrum.

[0059] In another embodiment, in cases of moderate or severe driver fatigue, the color or brightness of the light source can be further changed or adjusted by altering the spectral data.

[0060] For example, this could be in cases of moderate driver fatigue (e.g., which could correspond to...). Figure 3 With a KSS score of 7-8, by changing the spectral data to meet the preset rhythm evaluation criteria, the brightness of the light source can be increased or more blue light can be added. Figure 3 The dimming operation (304) in the middle further alerts the driver.

[0061] In cases of severe fatigue (for example, it may correspond to...), Figure 3 A KSS rating of 8-9 indicates a need for further integration with other methods (e.g., flashing red lights and alerts via voice, touch, or interface) to warn the driver. Figure 3 Dimming operation 306 in the middle.

[0062] Furthermore, the dimming module 106 can also consider other factors (besides driver fatigue level) when performing dimming operations. For example, it can determine the current vehicle status (e.g., whether it is in motion, vehicle speed, acceleration, steering, etc.) and road condition information of the vehicle's location. For instance, when the vehicle status indicates that the vehicle is in motion and the road condition information indicates a high driving risk (e.g., in a congested area), it can perform appropriate dimming operations based on the quantified driver fatigue level (i.e., setting an appropriate rhythm evaluation index value (e.g., EDI value) and adjusting the spectral data of the vehicle's internal light source to target spectral data that conforms to the preset rhythm evaluation index value). In addition, it can determine whether the ambient light state outside the vehicle has changed. If it has changed (e.g., entering a tunnel, rain, etc.), it can perform appropriate dimming operations based on the quantified driver fatigue level.

[0063] Those skilled in the art will understand that the systems of the present invention can be implemented in hardware or software, and the systems can be combined or merged in any suitable manner.

[0064] Figure 4 A schematic diagram of a dimming method 400 for vehicle interior lighting according to an embodiment of the present invention is shown. Method 400 begins at step 402, which involves real-time monitoring of the driver's state, where the driver's state can indicate the driver's perception level, including, for example, fatigue level, distraction level, etc. Monitoring of the driver's state can include direct monitoring and indirect monitoring. In one aspect, direct monitoring uses signals that directly characterize the driver's state, such as facial movements, eye movements, electrocardiogram (ECG), and electroencephalogram (EEG). Compared to collecting ECG and EEG signals, collecting facial and eye movement signals is simpler, more convenient, and more accurate; therefore, monitoring systems based on facial and eye movement signals are widely used in current direct monitoring systems. On the other hand, indirect monitoring uses driving behavior signals combined with vehicle state signals, employing statistical analysis, machine learning, and other methods to analyze the driver's state. While the accuracy of this method is not as high as that of direct monitoring, it does not require any additional sensors or hardware on the vehicle, thus not increasing vehicle manufacturing costs.

[0065] In step 404, a driver fatigue level is determined (or quantified) based on the monitored driver status, which indicates the degree of driver fatigue.

[0066] In one implementation, driver fatigue levels can be divided into three (or more) levels, such as mild fatigue, moderate fatigue, and severe fatigue, which may correspond, for example, to KSS scores of 6, 7-8, and 8-9, respectively.

[0067] In step 406, based on the determined driver fatigue level, the spectral data of the vehicle's interior light sources are adjusted to target spectral data that conforms to a preset rhythm evaluation index, wherein the rhythm evaluation index is related to the driver's driving needs.

[0068] In one implementation, rhythm evaluation indicators may include, but are not limited to, melanopoietic equivalent daylight illuminance (mel EDI), melanopoietic equivalent lux (EML), and the proportion of blue light in the spectrum, which are related to the effects of human rhythm.

[0069] In cases of mild driver fatigue, metamerism can be used. For example, only the spectral data of the multi-channel spectrum of the light source is changed (e.g., a spectral distribution with a higher EDI value is selected), while the color and brightness of the light source remain unchanged.

[0070] In cases of moderate driver fatigue, further visual stimulation is required, which can be achieved by altering the color or brightness of the light source by changing the spectral data (e.g., increasing brightness or adding more blue light components).

[0071] In cases of severe driver fatigue, both visual and non-visual effects can be combined to provide warnings. For example, by altering spectral data to conform to preset rhythm evaluation indicators (e.g., higher EDI values), a flashing red light can be used to provide a reminder via voice, touch, or interface display.

[0072] Furthermore, dimming can also be performed based on other factors such as vehicle status, road conditions at the vehicle's location, or changes in ambient light conditions outside the vehicle. For example, when entering a tunnel, if the driver is slightly fatigued, the EDI value of the target spectral data can be set higher to make the driver more alert and avoid accidents.

[0073] Therefore, by quantifying the driver's fatigue level, the lighting can be adjusted in a personalized manner based on different fatigue levels, thereby helping the driver stay alert and improving driving safety by changing the interior lighting environment.

[0074] Figure 5 An exemplary vehicle 500 supporting dimming is shown according to an embodiment of the present invention. The vehicle 500 may include various software and hardware components connected via a bus 502.

[0075] For example, vehicle 500 may include at least sensor system 504, communication system 506, lighting system 508, driver monitoring system 510, and such as Figure 1 The dimming system 100 shown.

[0076] The sensor system 504 may include, for example, a wide variety of sensors mounted on the vehicle, including but not limited to any suitable number of accelerometers, gyroscopes and / or magnetometers, vision sensors (e.g., onboard cameras), millimeter-wave radar, lidar, etc.

[0077] Communication system 506 can be communicated via a short-range wireless communication protocol (e.g., Data messages and elements may be transmitted and received via (etc.) and / or via local area networks and / or wide area networks, and / or via cellular networks, and / or via any suitable wireless network. It should be understood that these are merely examples of networks that vehicle 500 may utilize on a wireless link, and the claimed subject matter is not limited in this respect. In one embodiment, communication system 506 may include various combinations of WAN, WLAN, and / or PAN transceivers. In one embodiment, communication system 506 may also include a Bluetooth transceiver, a ZigBee transceiver, or other PAN transceivers.

[0078] The lighting system 508 may include, but is not limited to, interior projection lights, interior LED light strips or other surface lighting or light-conducting materials, interior sunroof LED lights or other surface lighting or light-conducting materials, etc., and can be used, for example, to receive dimming schemes from the dimming system 100 and to perform personalized dimming operations on the interior light sources of the vehicle.

[0079] The driver monitoring system 510 can be used to collect driver status data to determine whether the driver is fatigued, distracted, or otherwise in a state of drowsy driving.

[0080] Figure 6 A schematic architecture diagram of a dimming system 600 for vehicle ambient lighting according to an embodiment of the present invention is shown. System 600 can be configured to perform various methods described herein (including, for example, regarding...). Figure 4 The methods described cover all aspects.

[0081] like Figure 6 As shown, system 600 may include one or more processors 602. The one or more processors 602 may include a central processing unit (CPU), which in some examples may be a multi-core CPU. Instructions executed at the CPU may be loaded, for example, from program memory associated with the CPU or from memory 604. The one or more processors 602 may also include additional processing components tailored for specific functions, such as a graphics processing unit (GPU), a digital signal processor (DSP), or a neural processing unit (NPU). In some examples, the one or more processors 602 may be based on the ARM or RISC-V instruction set.

[0082] System 600 also includes memory 604. Memory 604 may include RAM, ROM, or a combination thereof. Memory 604 may store computer-executable instructions that, when executed by at least one processor 602, cause the at least one processor to perform various functions described herein, including: real-time monitoring of driver status; determining a driver fatigue level based on the monitored driver status, the driver fatigue level indicating the degree of driver fatigue; and adjusting spectral data of in-vehicle interior light sources to target spectral data conforming to a preset rhythm evaluation index, wherein the rhythm evaluation index is associated with the driver's driving needs, based on the determined driver fatigue level.

[0083] Understandable. Figure 6 This is merely one example of a system, and other systems with fewer, additional, or alternative aspects may also be consistent with this disclosure.

[0084] The various illustrative blocks and modules described herein can be implemented or executed using a general-purpose processor, DSP, ASIC, 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. The general-purpose processor may be a microprocessor, but in alternatives, the processor may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented as a combination of computing devices (e.g., a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors working in conjunction with a DSP core, or any other such configuration).

[0085] The functions described herein can be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions can be stored or transmitted as one or more instructions or code on a computer-readable medium. Other examples and implementations fall within the scope of this disclosure and the appended claims. For example, due to the nature of software, the functions described herein can be implemented using software executed by a processor, hardware, firmware, hardwired, or any combination thereof. Features implementing the functions can also be physically located in various locations, including being distributed such that different parts of the function are implemented at different physical locations.

[0086] The foregoing description includes examples of various aspects of the claimed subject matter. It is certainly impossible to describe every conceivable combination of components or methods for the purpose of depicting the claimed subject matter, but those skilled in the art will recognize that many further combinations and arrangements of the claimed subject matter are possible. Thus, the disclosed subject matter is intended to cover all such changes, modifications, and variations that fall within the spirit and scope of the appended claims.

Claims

1. A dimming method for vehicle interior lighting, the method comprising: Real-time monitoring of driver status; The driver fatigue level is determined based on the monitored driver condition, and the driver fatigue level indicates the degree of driver fatigue; as well as Based on the determined driver fatigue level, the spectral data of the vehicle's interior light source is adjusted to target spectral data that conforms to a preset rhythm evaluation index, wherein the rhythm evaluation index is related to the driver's driving needs.

2. The method as described in claim 1, characterized in that, The driver fatigue level is classified into mild fatigue, moderate fatigue, or severe fatigue, wherein adjusting the spectral data of the vehicle's internal light source to target spectral data that conforms to a preset rhythm evaluation index based on the determined driver fatigue level further includes: In cases of mild fatigue, only the spectral data of the multi-channel spectrum of the light source is changed, while the color and brightness of the light source remain unchanged; In cases of moderate or severe fatigue, the color or brightness of the light source can be further altered by changing the spectral data.

3. The method as described in claim 1, characterized in that, The rhythm evaluation indicators include one or more of the following: melanopoietic equivalent daylight illuminance (mel EDI), melanopoietic equivalent lux (EML), and the proportion of blue light in the spectrum, which are related to the human rhythm effect.

4. The method as described in claim 2, characterized in that, In cases of moderate fatigue, adjusting the spectral data of the vehicle's internal light source to target spectral data that conforms to preset rhythm evaluation indicators further includes: By altering the spectral data to conform to preset rhythm evaluation indicators, the brightness of the light source can be increased or more blue light components can be added.

5. The method as described in claim 2, characterized in that, In cases of severe fatigue, adjusting the spectral data of the vehicle's internal light source to target spectral data that conforms to preset rhythm evaluation indicators further includes: When the spectral data is altered to conform to preset rhythm evaluation criteria, a flashing red light is used to provide a reminder via voice, haptic feedback, or interface display.

6. The method as described in claim 1, characterized in that, Real-time monitoring of driver status further includes: Real-time data collection and analysis of driver status data, including facial features, physiological signs, and driving behavior, combined with multiple fatigue indicators to monitor the driver's status. These fatigue indicators include one or more of the following: eye closure time (PERCLOS), blinking frequency, eyelid movement, head movement, facial expression, or yawning frequency.

7. The method as described in claim 6, characterized in that, Determining a driver's fatigue level based on monitored driver condition further includes: The driver state data is fed into a trained AI model to obtain a quantified driver fatigue level.

8. The method as described in claim 1, characterized in that, Determining a driver's fatigue level based on monitored driver condition further includes: Based on the monitored driver status, the driver fatigue level was determined by combining the Karolinska Sleepiness Scale (KSS) score, where a KSS score of 6 indicates mild driver fatigue, a KSS score of 7 to 8 indicates moderate driver fatigue, and a KSS score of 8 to 9 indicates severe driver fatigue.

9. The method as described in claim 1, characterized in that, The method further includes: Determine the current vehicle status and road condition information of the vehicle's location; and When the vehicle status indicates that the vehicle is in motion and the road condition information indicates that the driving risk is high, the spectral data of the vehicle's internal light source is adjusted to target spectral data that meets the preset rhythm evaluation index, based on the driver's fatigue level.

10. The method as described in claim 1, characterized in that, The method further includes: Determine whether the ambient light conditions outside the vehicle have changed; and Based on the determination that the ambient light state has changed, and in conjunction with the driver's fatigue level, the spectral data of the vehicle's internal light source is adjusted to target spectral data that conforms to the preset rhythm evaluation index.

11. A dimming system for vehicle interior lighting, the system comprising: The driver status monitoring module is used to monitor the driver's status in real time. A fatigue level quantification module is used to determine the driver's fatigue level based on the monitored driver's condition, wherein the driver fatigue level indicates the degree of driver fatigue; as well as A dimming module is used to adjust the spectral data of the vehicle's interior light source to target spectral data that conforms to a preset rhythm evaluation index based on a determined driver fatigue level, wherein the rhythm evaluation index is related to the driver's driving needs.

12. The system as claimed in claim 11, characterized in that, The driver fatigue level is classified into mild fatigue, moderate fatigue, or severe fatigue, and the dimming module is further configured to: In cases of mild fatigue, only the spectral data of the multi-channel spectrum of the light source is changed, while the color and brightness of the light source remain unchanged; In cases of moderate or severe fatigue, the color or brightness of the light source can be further altered by changing the spectral data.

13. The system as described in claim 11, characterized in that, The rhythm evaluation indicators include one or more of the following: melanopoietic equivalent daylight illuminance (mel EDI), melanopoietic equivalent lux (EML), and the proportion of blue light in the spectrum, which are related to the human rhythm effect.

14. The system as claimed in claim 11, characterized in that, The dimming module is further configured to: In cases of moderate fatigue, the brightness of the light source can be increased or more blue light components can be added, while modifying the spectral data to meet preset rhythm evaluation indicators. In cases of severe fatigue, if the spectral data is altered to conform to preset rhythm evaluation indicators, a flashing red light will be used to alert the user via voice, tactile feedback, or interface display.

15. A vehicle comprising a dimming system as described in any one of claims 11-14.

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