Self-adaptive headlight system for the production of headlight beams and associated process

Abstract

The invention presents a system (100) and a method for adapting automobile headlights to provide a headlight beam. The system (100) comprises a lighting module (104) disposed in an automobile headlight (102), a driver monitoring system module (106) disposed in the automobile (102), a detection module (108), and a control module (110). The lighting module (104) is configured to produce a beam. The driver monitoring system module (106) is configured to detect and communicate one or more driver gaze profiles (110). The detection module (108) is configured to record and communicate external data to a control module (110).The control module (110) is configured to analyze the driver's gaze profiles (110) and external data to determine an output beam with reduced glare, and to communicate one or more beam instruction signals to at least one lighting module (104) to produce the output beam. FIG. 1A.

Description

Title of the invention: Self-adaptive headlight system for producing headlight beams and associated method FIELD OF THE INVENTION

[0001] The field of the invention generally relates to automotive safety systems. More specifically, it is a system and method for providing a headlight beam with reduced glare, based on a driver gaze system and oncoming traffic. CONTEXT

[0002] Conventional adaptive headlights are used to improve driver visibility, usually during night driving. In such cases, the car's beams are typically high beams that illuminate extended areas of the road ahead of the car. High beams provide superior lighting capabilities, allowing for better visibility in dark or low light conditions.

[0003] Typical systems are configured to automatically switch from high beam to low beam upon detection of an oncoming vehicle to avoid producing glare for the driver of an oncoming vehicle.

[0004] However, many of these systems suffer from inefficiency, inaccuracies, and slow response times, resulting in delayed beam adjustments or excessive switching between high and low beam modes, which can be distracting to both passing drivers.

[0005] Some conventional systems have integrated eye tracking technology into automotive applications to monitor driver behavior, concentration, and attention. These systems are designed to detect driver drowsiness or distraction based on eye movements and are used to alert the driver when drowsy or sleepy. However, these systems have not been applied to the specific problem of reducing glare from oncoming cars.

[0006] Furthermore, these conventional systems do not take into account other possibilities for drivers who need additional support, such as drivers with disabilities due to age, visual impairment, impaired night vision, reduced depth perception, etc.

[0007] Other systems use a dipped beam, which provides a fixed area of ​​the maximum illuminated surface, and can provide reduced illumination in other directions. These systems manage an LED matrix producing the beam. Depending on the amount of light received by an external sensor, these systems theoretically calculate the field of vision of a standard driver estimated by the sensor, in order to avoid causing glare. The disadvantage of these systems is that the theoretical calculations may not correspond to the real driving scenario or the driver's field of vision.

[0008] Thus, in light of the foregoing, it is implied that there is a need for a system and method for an adaptive automobile headlight that is reliable and does not suffer from the problems discussed above. OBJECTIVE OF THE INVENTION

[0009] The primary object of this invention is to provide a system and method for adaptive automotive headlights that provide increased road safety by providing an output beam that automatically illuminates one or more sections of the driver's viewing area, while minimizing glare to oncoming traffic in the beam area.

[0010] Another object of the invention is to provide a system and method for adaptive automotive headlights that alter at least one beam direction and intensity to illuminate one or more sections of the driver's field of vision, based on new instances of the driver's gaze profile as well as any oncoming traffic.

[0011] Another object of the invention is to provide a system and method for adaptive automotive headlights that provide a headlight beam that adapts quickly, thereby allowing both fast and slow drivers to have better response times while reacting to different situations while driving.

[0012] Another object of the invention is to provide a system and method for adaptive automotive headlights that provide personalized visual assistance by producing different output beams adapted to drivers with various disadvantages or disabilities, such as vision reduced or affected by advanced age, visual impairments, impaired night vision, impaired depth perception, slow response times, etc.

[0013] Another object of the invention is to provide a system and method for adaptive automotive headlights that include artificial intelligence and machine learning models that are trained to seamlessly and automatically operate and identify various driving scenarios as well as drivers with different driving styles or disadvantages, based on the past gaze patterns of each individual driver. BRIEF DESCRIPTION OF THE FIGURES

[0014] This invention is illustrated in the accompanying figures, in which, Reference letters are indicated in the corresponding parts of the various figures.

[0015] The following illustrations will be better understood from the following description with respect to the figures, in which:

[0016] [Fig.lA] represents / illustrates a block diagram of an adaptive automotive headlight system, according to one embodiment;

[0017] [Fig. 1B] depicts / illustrates the driver's gaze and a field of vision in the adaptive automotive headlight system, according to one embodiment;

[0018] [Fig.2A]-2D illustrates / depicts a block diagram representing various modules of the system for adaptive automotive headlights, in accordance with one embodiment;

[0019] [Fig.3] represents / illustrates the eye profiles of a driver and the corresponding beams, according to one embodiment;

[0020] [Fig.4] illustrates a method of adapting automobile headlights, in accordance with one embodiment; and

[0021] [Fig.5] illustrates a method 500 for producing an output beam, in accordance with one embodiment. DETAILED DESCRIPTION

[0022] The embodiments presented and the various features and advantageous details thereof are explained in more detail with reference to the non-limiting embodiments illustrated in the accompanying figures and / or detailed in the following description. Descriptions of known components and processing techniques are omitted so as not to unnecessarily obscure the present embodiments. The examples used herein are merely intended to facilitate understanding of how the present embodiments may be practiced and to enable those skilled in the art to practice the present embodiments. Accordingly, the examples should not be construed as limiting the scope of the embodiments set forth herein.

[0023] The present invention discloses a system and method for an adaptive headlight beam for an automobile. The system improves road safety by producing an output beam that illuminates one or more sections of the driver's field of vision. The output beam is determined / calculated based on tracking and analyzing the driver's gaze patterns and any detected traffic, while minimizing glare from oncoming traffic in the beam.

[0024] The system integrates eye tracking and continuous traffic detection, without reducing the effectiveness of either function. Advantageously, the system provides a fast, responsive and intelligent solution that improves road safety as well as the overall driving comfort for drivers, especially in scenarios such as nighttime, low visibility and visual impairment.

[0025] [Fig.lA] represents / illustrates a block diagram of a system 100 for adaptive automotive headlights, according to one embodiment. The system 100 comprises at least one lighting module 104, at least one driver monitoring system module 106, at least one detection module 108 and at least one control module 110.

[0026] In one embodiment, all of the modules 102-110 are present in an automobile.

[0027] In one embodiment, the system 100 is described primarily in connection with automobiles. However, the system 100 is not limited thereto and may be used with any type of transportation, such as a truck, passenger car, electric cars, hybrid cars, boat, motorcycles, etc.

[0028] Other features, possible applications and advantages of the invention result from the following description of the embodiments of the invention, which is illustrated in the figure. It should be noted that the features presented are only descriptive and can also be used in combination with the features of other developments described above and are not intended to limit the invention in any way.

[0029] In one embodiment, the lighting module 104 is disposed in the automobile 102 such that the lighting module 104 functions as a headlight that produces a beam. The beam serves to illuminate the field of vision of the driver who is in front of the automobile 102.

[0030] The standard illumination provided by the lighting module 104 may not be sufficient to suit the driver, due to various deficiencies such as night driving, low visibility, reduced vision of the driver, advanced age of the driver, etc.

[0031] In one embodiment, the driver monitoring system module 106 is configured to detect one or more occurrences of the driver's gaze. In addition, the driver monitoring system module 106 may analyze one or more of the driver's gaze directions, duration, blink rate, and head position to detect patterns in the driver's gaze. Subsequently, the driver monitoring system is configured to continuously track the driver's gaze and communicate the same to the control module 110 for further processing to calculate and provide an output beam in real time.

[0032] In one embodiment, the detection module 108 is configured to record and communicate one or more external data to the control module 110. In one embodiment, the external data includes data relating to oncoming traffic, traffic signs, the road, sidewalks, and any objects on or near the road ahead of the driver.

[0033] Subsequently, the control module 110 is configured to receive the external data from the detection module 108. Subsequently, the control module 110 can analyze the external data using a computer vision unit (shown in [Fig.2D]), in order to detect any traffic, road signs, roads, sidewalks and objects in circulation.

[0034] In one embodiment, the control module 110 is configured to receive and analyze the driver's gaze patterns from the driver's gaze shared by the Driver Monitoring System module 106 to determine one or more sections of the driver's field of view that require additional illumination.

[0035] Advantageously, the control module 110 is configured to provide an output beam to illuminate one or more additional sections of the driver's field of vision, to assist the driver through various scenarios or failures during driving. The resulting illumination, produced by the control module 110 and provided to the driver, is referred to as the output beam. The output beam focuses on one or more sections of the driver's field of vision, and also minimizes glare from any detected oncoming traffic.

[0036] In one embodiment, the output beam is determined by the control module 110 based on the driver's gaze profiles as well as detected oncoming traffic, while allowing for reduced glare. When determining the output beam with reduced glare, the control module 110 continuously communicates one or more instruction signals to the lighting module 104, in order to continuously produce the output beam corresponding to each driving scenario.

[0037] In a housing, the lighting module comprises an LED array. Thus, the control module 110 may provide beam instruction signals to activate or deactivate one or more LEDs in the LED array, in order to produce the required output beam.

[0038] [Fig. 1B] shows / illustrates a driver gaze 112 and a driver field of view 114 in the system 100 for adaptive automobile headlights, according to one embodiment. The driver's gaze is usually directed toward the front of the automobile while driving. In addition, the field of view represents the illuminated section that is visible due to the beam created by the lighting module 104.

[0039] In certain cases, such as night driving, low visibility or impairments visual, the driver may focus heavily on certain sections of the field of vision, which may not be sufficiently illuminated to meet the driver's needs. Therefore, advantageously, the output beam is produced to meet the changing needs of the driver's field of vision while driving.

[0040] [Fig.2A] represents / illustrates a block diagram representing the components of the lighting module 104, in accordance with one embodiment.

[0041] In a housing, the lighting module 104 comprises at least one light source 202, at least one light guide unit 204 and at least one lighting circuit 206.

[0042] In one embodiment, the light source 202 is used to provide one or more lights or beams of the automobile. The automobile may include one or more numbers and combinations of different types of light sources 202.

[0043] In one embodiment, the light source 202 includes at least one of LED arrays, an LED cluster, regular beam light sources, low beam light sources, turn signal light sources, halogen bulbs, HID bulbs, adaptive headlights, and laser headlights.

[0044] In one embodiment, the light guide unit 204 is used to control the beam distribution, direction, and light intensity of the output beam produced by the light source 202. The automobile may include one or more numbers and combinations of different types of light guide units 204.

[0045] In one embodiment, the light guide unit 204 includes one or more of a lens, a projector, a reflector, a refractor, a shroud and louver, a projector lens with shutters, an adaptive projector, and a lens diffuser.

[0046] In one embodiment, the lighting circuit 206 is used to control at least one of the light sources 202 and the light guide unit 204 to produce the output beam for the driver. In particular, the lighting circuit 206 may be used to produce the output beam with multiple different components, such as a low beam, a high beam, a focused beam, etc.

[0047] In one embodiment, the lighting circuit 206 includes one or more of fuses, relays, switches, body control module, light control module, light sensors, dimmer switch, and CAN bus control area network interface, among others.

[0048] In one embodiment, the components of the lighting circuit 206 may vary depending on the make and model of the automobile 102 and the lighting module 104.

[0049] In one embodiment, the control module 110 is configured to receive the inputs of the Driver Monitoring System module 106 and the detection module 106. In addition, the control module 110 may provide one or more beam instruction signals to the lighting circuit 206 based on the driver's gaze patterns. The beam instruction signals are used to vary at least an output beam direction managed by the light guide unit 204 and an output beam intensity managed by the light source 202, to produce the output beam.

[0050] [Fig.2B] represents / illustrates a block diagram representing the components of the Driver Monitoring System module 106, in accordance with one embodiment.

[0051] In one embodiment, the module 106 of the driver monitoring system comprises at least one camera unit 208, a processing unit 210, at least one sensor unit 212, a communication unit 214, a memory unit 216 and an input / output unit 218.

[0052] In one embodiment, the camera unit 208 is mounted inside the automobile, generally near the dashboard or rearview mirror, to provide a clear view of the driver's face and eyes.

[0053] In one embodiment, the camera unit 208 may include one or more cameras to capture various angles and details of the driver. Additionally, the camera unit 208 is configured to continuously capture multiple images or videos of the driver's face, including one or more of the driver's eyes, nose, mouth, and head position and angle, in real time or at regular intervals.

[0054] In one embodiment, the processing unit 210 includes one or more microprocessors, circuits, and other hardware configured for processing. The processing unit 210 is configured to execute instructions stored in the memory unit 216 as well as to communicate using the input / output unit 218 and the communication unit 214.

[0055] In one embodiment, the processing unit 210 is used to process the captured images or video images in real time. The processing unit 210 analyzes the captured data to identify key facial features, including one or more of the eyes, eyebrows, nose, and mouth.

[0056] Subsequently, the processing unit 210 uses an eye tracking algorithm to analyze the captured data to determine the position, movement, and direction of the driver's eyes. Subsequently, the algorithm identifies the location of the pupils and tracks their movement to create the driver's gaze profile.

[0057] In one embodiment, the processing unit 210 may also use a blink detection algorithm to monitor the driver's blink rate and detect instances of irregularity, such as prolonged eye closure, which may indicate drowsiness or fatigue.

[0058] In one embodiment, the processing unit 210 may detect or determine various driver disadvantages such as reduced or impaired vision due to advanced age, visual impairments, impaired night vision, depth perception, slow response times, etc.

[0059] In one embodiment, the sensing unit 212 may include one or more sensors such as: a light sensor for detecting ambient light conditions, an infrared sensor for obtaining a clear image of the driver's face during nighttime or low light conditions, infrared LED sensors for tracking eye movements, time-of-flight sensors for accurately detecting head pose and gaze tracking, facial recognition sensors for identifying individual drivers and personalizing their driving style, etc.

[0060] In one embodiment, the communication unit 214 may include wired and wireless communication, including but not limited to GPS, GSM, LAN, Wi-Fi compatibility, Bluetooth low energy as well as NFC. The wireless communication may also include one or more registered trademarks of Bluetooth, registered trademark of ZigBee, short-range wireless communication such as UWB, medium-range wireless communication such as registered trademark of WiFi or long-range wireless communication such as registered trademark of 3G / 4G or WiMAX, depending on the usage environment.

[0061] In one embodiment, the memory unit 216 includes one or more volatile and non-volatile memory components capable of storing data and instructions to be executed.

[0062] In addition, the memory unit 216 provides data recording functions for recording driver behavior and eye tracking data. The memory unit 216 is used to store data for post-analysis, feedback, improving system performance over time, as well as training AI / ML models for each driver's driving styles and requirements.

[0063] In one embodiment, the input / output unit 218 includes various input and output elements to enhance the operation of the Driver Monitoring System module 106 as well as to receive and provide data to the driver.

[0064] In one embodiment, the input components include various sensors for evaluating driver gaze patterns and general behavior and operating conditions of the automobile.

[0065] In one embodiment, the output components include alerts such as as well as visual, auditory, haptic and vibration alerts, as well as warnings for various critical driving situations.

[0066] [Fig.2C] represents / illustrates a block diagram embodiment of the components of the detection module 104, according to one embodiment.

[0067] In one embodiment, the detection module 108 comprises at least one sensor unit 220, one memory unit 222 and one communication unit 224.

[0068] In one embodiment, the sensing unit 220 is used to record external data outside the automobile and includes at least one of a camera sensor, an infrared sensor, a RADAR sensor, a LIDAR sensor, an ultrasonic transducer or receiver, a microphone, and a magnetometer.

[0069] In one embodiment, the memory unit 222 and the communication unit 224 operate in the same manner as the memory unit 216 and the communication unit 214 of the driver monitoring system module 106.

[0070] [Fig.2D] represents / illustrates a block diagram embodiment of the components of the control module 106, in accordance with one embodiment.

[0071] In one embodiment, the control module 110 may be part of the driver monitoring system module 106. For example, the functions of the control module may be downloaded into the driver monitoring system module 106 via OTA updates, which may involve payments for installation and use.

[0072] In one embodiment, the control module 110 comprises a computer vision unit 226, a processing unit 228, a memory unit 230 and a communication unit 232.

[0073] In one embodiment, the memory unit 230 and the communication unit 232 operate in the same manner as the memory unit 216 and the communication unit 214 of the driver monitoring system module 106.

[0074] In one embodiment, the computer vision unit 226 is configured to process the external data, to first identify upcoming objects on the road ahead of the driver. The computer vision unit 226 may be configured to detect one or more roads, vehicles, humans, animals, street signs, trails, sidewalks, curves, upcoming turns, tunnels, and walking paths.

[0075] In one embodiment, the computer vision unit 226 is configured to reduce the intensity of the high beam beam or adjust the direction of the beam to avoid directly illuminating an oncoming driver, when an oncoming automobile is detected.

[0076] In one embodiment, the computer vision unit 226 is configured to recognize traffic signs, such as speed limit signs, stop signs, and curve signs, in order to adjust accordingly. accordingly the direction, pattern or intensity of the beam, in order to optimize the driver's visibility without causing glare.

[0077] In one embodiment, the computer vision unit 226 is configured to detect the edges of the road and adjust the intensity and direction of the beam to ensure that the output beam is directed more toward the center of the road, thereby minimizing glare toward the edge of the road and oncoming cars.

[0078] In one embodiment, the computer vision unit 226 is configured to track and analyze one or more of the automobile's steering angle changes to adjust the output beam during turns so that the road around the turns is illuminated without causing glare to oncoming traffic.

[0079] In one embodiment, the computer vision unit 226 is configured to track and analyze the speed of the automobile, to provide higher intensity beams at higher speeds and lower intensity beams at lower speeds, to reduce glare to other drivers.

[0080] In one embodiment, the control module 110 is configured to independently activate or deactivate one or more LEDs in an LED matrix of the lighting module 104, to produce the output beam.

[0081] In one embodiment, the control module 110 includes one or more artificial intelligence models trained with at least one of the driver data and external data, to achieve at least one of the following objectives: autonomous detection of oncoming traffic images in the external data, driver recognition, and recognition of behavior and driving profiles for recognized drivers. The artificial intelligence models may include one or more neural networks, deep learning, convolutional neural networks, recurrent neural networks, long-term memory networks, among others.

[0082] [Fig. 3] represents / illustrates the driver's gaze and the corresponding gaze patterns, according to one embodiment. Images (a), (b) and (c) depict various instances of driver gaze detected by the Driver Monitoring System module 106. These images are analyzed by the computer vision unit to produce images (d), (e) and (f) which depict the corresponding driver gaze profiles.

[0083] [Fig.4] illustrates a method of adapting automobile headlights, in accordance with one embodiment.

[0084] The method begins by providing at least one lighting module in an automobile, as described in step 402. Subsequently, the method 400 discloses the detection of one or more instances of the driver's gaze profile, using a module of the Driver monitoring system, as described in step 404. Thereafter, method 400 discloses recording external data using at least one detection module, as described in step 406. Thereafter, method 400 discloses analyzing the gaze profiles and the external data to determine an optimal composite beam with a reduced glare component, as described in step 404. Thereafter, method 400 discloses communicating one or more beam instruction signals to at least one lighting module to produce the optimal composite beam, as described in step 406.

[0085] [Fig.5] illustrates a method 500 for producing an output beam.

[0086] The method begins by detecting driver gaze instances to track driver gaze movements using a driver monitoring device, as shown in step 502. Thereafter, the method 500 records and analyzes external data to detect oncoming traffic, using the detection module, as shown in step 504. In addition, the method 500 discloses determining an output beam with reduced glare, by analyzing gaze profiles and oncoming traffic, as shown in step 506. Thereafter, the method 500 discloses beam instruction signals based on the determined output beam from the control module to the lighting module, as shown in step 508.Additionally, method 500 discloses different functions of at least one of the light sources and the light guide unit to produce the output beam, as shown in step 510.

[0087] The advantages of the current invention are as follows:

[0088] The system integrates eye tracking technology and continuous body circumference detection. Advantageously, the system offers a responsive and intelligent solution that improves road safety and overall driving comfort during nighttime and low visibility conditions.

[0089] The system provides precise glare reduction by accurately detecting the presence of oncoming automobiles and allowing rapid beam adjustment.

[0090] The system improves road safety by significantly reducing the risk of accidents due to glare, thereby promoting safer driving conditions for all road users.

[0091] Additionally, the real-time gaze analysis system ensures proactive and transparent headlight adjustments, minimizing driver distraction and providing a better driving experience.

[0092] Another advantage is that the system allows for customizable settings such as driver profiles, where the system can be calibrated to individual driver preferences, taking into account variations in movement eyes between different drivers as well as other vision impairments.

[0093] Applications of the present invention include all transportation machines, including, but not limited to, the automotive industry, aviation and rail transportation.

[0094] Advantageously, the system comprises a reduced number of components which allow the system to be retrofitted into existing automobiles and other modes of transportation. In addition, the system can also be installed in existing transportation units that use Driver Monitoring System devices, by means of an over-the-air update.

[0095] The system can also be applied to fleet management systems to implement safe driving practices and improve overall fleet safety.

[0096] The system can also be used in public transport vehicles such as buses, trains, etc., to improve driver safety and passenger comfort.

[0097] The above description of the specific embodiments will so fully reveal the general nature of the present embodiments that others, by applying present knowledge, can readily modify and / or adapt for various applications these specific embodiments without departing from the generic concept, and that, therefore, such adaptations and modifications should and must be understood within the meaning and scope of the equivalents of the disclosed embodiments. It is understood that the phraseology or terminology used herein is used for the purpose of description and not of limitation.Accordingly, although the embodiments described herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments described herein may be practiced with modification within the scope of the embodiments as described herein.

Claims

Claims

1. An adaptive automotive headlight system (100) for providing a headlight beam, comprising: at least one lighting module (104) arranged in an automobile (102) such that the lighting module (104) functions as a headlight; at least one driver monitoring system module (106) included in the automobile (102), configured to detect, track and communicate one or more driver gaze profiles; at least one detection module (108) configured to acquire external data relating to the positioning of objects generating or subject to glare problems and to communicate the external data to a control module (110);and the control module (110) configured to determine an output beam, the determination being based on the external data and the driver's gaze, and communicating one or more beam instruction signals to the lighting module (104) to produce the output beam.;

2. The system of claim 1, wherein the lighting module (104) comprises: at least one light source (202) wherein the light source (202) comprises one or more LED arrays, an LED cluster, regular beam light sources, dipped beam light sources, and a turn signal light source; and at least one light guide unit (204), wherein the light guide unit (204) comprises one or more of a lens, a projector, a reflector, a refractor, a shield and a louver, a projector lens with shutters, an adaptive projector and a lens diffuser, and wherein the control module (110) is configured to determine and vary at least one direction of the output beam of at least one light guide unit (204) and an intensity of the output beam of at least one light source (202), to produce the output beam.

3. The system of claim 2, wherein the control module (110) analyzes a field of vision of the driver and the patterns in the driver's gaze to illuminate one or more sections of the field. driver vision by activating or deactivating at least one of the light sources (202) and by modifying a function of the light guide unit (204).

4. The system of claim 1, wherein the external data comprises data relating to at least one of data relating to the positioning of objects generating or subject to glare problems, oncoming traffic, traffic signs, road edges, changes in speed and steering angle captured by the detection module (108), and wherein the detection module (108) comprises at least one of the following: a camera, an infrared sensor, a radar sensor, a lidar sensor, an ultrasonic sensor and / or a magnetometer.

5. The system of claim 1, wherein the control module (110) comprises one or more artificial intelligence models trained with at least one of the driver data and the external data, to achieve at least autonomous detection of oncoming traffic images in the external data, driver recognition and driving profiles for the recognized drivers.

6. A method of providing an adaptive headlight beam in an automobile, comprising: providing at least one lighting module (104) operating as a headlight in an automobile (102); using at least one driver monitoring system module (106) included in the automobile (102) to detect and track one or more driver gaze patterns; recording and communicating external data by means of at least one detection module (108); analyzing gaze paths and the external data to determine an output beam with reduced glare; and communicating one or more beam instruction signals to at least one lighting device (104) to produce the output beam by means of a control module (110).

7. A method according to claim 6, comprising providing at least one light source (202) and a light guide unit (204) in the lighting module, wherein the light source (202) comprises one or more LED arrays, an LED group, beam light sources regular, low beam light sources, halogen bulbs, HID bulbs, adaptive headlights and laser headlights, wherein the light guide unit (204) comprises one or more of a lens, a projector, a reflector, a refractor, a shroud and a louver, a projector lens with shutters, an adaptive projector and a lens diffuser, and wherein the control module (110) is configured to determine and vary at least one output beam direction of at least one light guide unit (204) and an output beam intensity of at least one light source (202), to produce the output beam.

8. The method of claim 7, further comprising analyzing data from a field of view (VFO) of the driver and the driver's gaze patterns to activate or deactivate at least one of the light sources (202) and to modify a function of the light guide unit (204).

9. The method of claim 6, wherein the external data comprises data relating to at least one current traffic, traffic signs, road edges, speed and steering angle changes detected by the detection module (108) and wherein the detection module (108) comprises at least one camera, an infrared sensor, a RADAR sensor, a LIDAR sensor, an ultrasonic sensor and a magnetometer.

10. The method of claim 6, which comprises training one or more artificial intelligence models with at least one of the driver data and the external data, to obtain at least autonomous detection of images of oncoming traffic in the external data, driver recognition and driving profiles for the recognized drivers, using the control module (110).

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