Method for controlling a lighting device of a motor vehicle

The vehicle lighting system is personalized using user-specific data and environmental sensing to address the lack of customization in existing systems, enhancing user comfort and familiarity.

DE102021126817B4Active Publication Date: 2026-07-09AUDI AG +1
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Patent Information

Application Number
DE102021126817
Authority / Receiving Office
DE · DE
Patent Type
Patents
Current Assignee / Owner
Filing Date
2021-10-15
Publication Date
2026-07-09
Estimated Expiration
2041-10-15

AI Technical Summary

Technical Problem

Existing vehicle lighting systems lack user-specific customization, often limited to predefined designs determined by the manufacturer, failing to adapt to individual user preferences or environments.

Method used

A method for controlling a vehicle's lighting system that utilizes user-specific information from a mobile device or external computing unit, incorporating image data and environmental sensing to personalize the lighting based on user preferences, vacation photos, and environmental conditions.

Benefits of technology

Enables highly individualized and user-specific control of vehicle lighting, enhancing user comfort and familiarity, and providing a personalized experience through adaptive lighting designs.

✦ Generated by Eureka AI based on patent content.

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Abstract

Method for controlling a lighting device (2) of a motor vehicle (1) which has at least one display area (34) and / or at least one lighting unit (36), the method comprising the following steps: - if a communication connection (8) is established between the motor vehicle (1) and a mobile terminal (4) and / or an external computing device (6) on which user data (7) is stored which is assigned to a user profile of a person assigned to the motor vehicle (1), (S2) automatic selection (S3) of at least one image (16) available from the mobile terminal (4) by applying a selection criterion (14) to image data (15) available from the mobile terminal (4) and / or automatic selection of at least one image (16) available from the external computing device (6) by applying the selection criterion (14) to image data (15) included in the user data (7);- Receiving (S4) the image data (15) describing the at least one selected image (16); - Determining (S5) an image content information (18) that describes a color gradient of the at least one selected image (16) by applying an image content determination criterion (17) to the provided image data (15);- Controlling (S8) the lighting device (2) taking into account the determined image content information (18), wherein an appearance (16) generated by means of the lighting device (2) is adapted to the color gradient of the at least one selected image (16), wherein the image content information (18) has structure information (20) that describes a surface structure of an object depicted in the at least one image (16), and a pattern reproducing the surface structure is displayed on a display surface (34) of the lighting device (2) and (a) the display surface (34) has a tactile surface (35) which, taking into account the structure information (20), provides haptic feedback reproducing the surface structure when actuated by an occupant of the motor vehicle (1);and / or (b) location information (22) associated with the provided image data (15) is provided (S7) and taken into account when applying the image content determination criterion (17) (S5), wherein the determined image content information (18) describes a color gradient associated with the provided location information (22) and / or a surface structure associated with the provided location information (22); and / or the following predefined steps are performed: - Acquisition (S10) of clothing data (30) describing clothing of an occupant of the motor vehicle (1) using an interior detection device (13) of the motor vehicle (1); - Determination (S11) of clothing color information (32) describing a clothing color and material structure information (33) describing a material structure of the clothing by applying a clothing evaluation criterion (31) to the acquired clothing data (30);and- Controlling (S12) the lighting device (2) taking into account the determined clothing color information (32) and the determined material structure information (33), whereby a pattern representing the material structure is displayed in the clothing color by means of the lighting device (2).
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Description

The invention relates to a method for controlling a lighting device of a motor vehicle, wherein the lighting device comprises at least one display area and / or at least one lighting unit. The invention further relates to a motor vehicle with such a lighting device, which is configured to carry out such a method. A motor vehicle often has at least one lighting device, which can be designed as a display and / or lighting unit. The lighting device may, for example, have at least one display area on which vehicle-related information is shown. Furthermore, the lighting device may have at least one lighting unit, such as a light strip made of LEDs, which is arranged on a vehicle door and / or in an area of ​​the vehicle's center console. The lighting device can therefore, for example, provide vehicle-specific and / or user-specific lighting for the vehicle's interior. Typically, at least one light color, in which, for example, the vehicle's interior is illuminated by the lighting device, is variably adjustable. German patent DE 10 2016 222 426 A1 discloses a method for adjusting the interior atmosphere of a motor vehicle. Within the framework of this method, occupant information, the vehicle's surroundings, and / or the vehicle's status are automatically detected, and based on this information, for example, a color is selected in which an interior element of the vehicle emits light. DE 10 2012 002 564 A1 shows a motor vehicle in whose interior a light source is arranged. The light source is controlled depending on various information, such as navigation information. DE 10 2017 213 994 A1 discloses a method for operating a light source in the interior of a motor vehicle, comprising: detecting a sensor value from a sensor of the mobile device, deriving a light animation from the detected sensor value according to a predetermined rule, and displaying the light animation by means of the light source. DE 10 2017 128 896 A1 discloses an arrangement for illuminating the interior of a motor vehicle, comprising a light source arranged in the interior of the motor vehicle. At least one section of the headliner facing the interior of the motor vehicle has a planar or elongated element that actively emits light. The at least one light source is arranged such that the light it emits strikes the headliner of the motor vehicle, which then acts as an indirect light source illuminating the interior. DE 10 2018 206 952 A1 shows a method for compressing image data. DE 10 2013 004 612 A1 discloses a method for operating an infotainment system of a motor vehicle. The method comprises transmitting an input signal to a control unit of the motor vehicle's infotainment system and controlling an output unit of the infotainment system to output a digital image and / or an audio signal to an environment outside the motor vehicle. The object of the invention is to provide a solution by means of which a lighting device of a motor vehicle can be controlled in a user-specific manner. The problem is solved by the subject matter of the independent patent claims. The invention is based on the understanding that a display on a device, such as a smartphone or a vehicle's display unit, can often only be customized to a limited extent. This is because, for example, only pre-defined display designs are available for the device, allowing for variations in background image, font and / or font color, displayed textures, and / or the design of symbols. Such a pre-defined display design, which can significantly influence the appearance of the display, is often not manually customized at all by the user, or only to a limited extent, at least in the context of displays on vehicle display units.For this reason, for example, vehicle displays typically show a predefined standard background image and / or text in a standard font and font color, usually determined by the vehicle manufacturer, for example, to increase brand recognition, and therefore consistent with the manufacturer's typical design aesthetic. Depending on the vehicle manufacturer and model, the appearance may change slightly, for example, with regard to color and / or font, such as whenever a driver changes the vehicle's driving mode.The overall appearance often remains similar to the standard design typical of the vehicle manufacturer, and may only feature a single accent color that changes, such as red text and / or red symbols in a sport mode and blue text and / or blue symbols in an electric driving mode. However, this appearance of text and symbols only changes depending on the current vehicle function and is therefore not user-specific. To allow a vehicle user to customize at least a portion of the interior lighting, display, and / or exterior lighting, for example, by controlling the display unit accordingly, user-specific information for controlling the display unit should be considered. Since vehicles often contain not only one or more displays but also at least one lighting unit, such as a single lamp, an illuminated trim strip, and / or at least one indirectly or directly illuminated control element, such as a rotary push-button, a button, and / or a switch, the display area and lighting unit are referred to below as the vehicle's lighting system.Furthermore, user-specific information is often stored on the user's own mobile device, such as a smartphone, and / or in a user profile, which may be stored on an external computer. To achieve personalized control of the lighting system, such user-specific information should therefore be accessed. It can also be beneficial to consider image data from the vehicle's environmental sensing system, such as an external camera, when implementing personalized control of the lighting system. A first aspect of the invention relates to a method for controlling a lighting device of a motor vehicle. The lighting device according to the invention comprises at least one display area and / or at least one lighting unit. The lighting unit includes, for example, at least one light-emitting diode (LED). Furthermore, a projection of, for example, a predetermined image onto a projection surface in the motor vehicle can be provided, wherein this projection is encompassed by the lighting device. The display area can be a display and / or a human-machine interface in the motor vehicle. The lighting device can be arranged in an interior space of the motor vehicle. The lighting device arranged in the interior space can, for example, illuminate the interior and, if applicable, illuminate and / or light it. Alternatively or additionally, the lighting device can provide exterior lighting for the vehicle. For example, the lighting device can include a projection onto a surface and / or an object in the vehicle's surroundings, generated by a projection device within the vehicle. The projection can be activated, for example, after the vehicle's door lock mechanism is unlocked and / or locked. Once activated, it is displayed for a predetermined duration of, for example, 3 seconds, 5 seconds, 10 seconds, 15 seconds, 20 seconds, or 30 seconds. Furthermore, the vehicle can have a display area and / or a lighting unit that emits light into the vehicle's surroundings, such as an external display or an external light, for example, on an exterior door handle of the vehicle. When the lighting device is activated, a visual appearance can be generated. The visual appearance, as defined by the invention, includes, for example, displayed image content, a font, a font color, a symbol, a design element, and / or a luminous color, such as the color of the light emitted by the lighting unit. The method according to the invention comprises the following steps: It is checked whether a communication connection is established between the motor vehicle and a mobile device and / or an external computing device. The mobile device is, for example, a mobile phone, such as a smartphone, a tablet, and / or a wearable, such as a smartwatch. The mobile device is preferably located inside the motor vehicle. Alternatively or additionally, the mobile device can be located outside the motor vehicle. In this case, a vehicle-specific application can be installed on the mobile device, by means of which data exchange via the communication connection between the motor vehicle and the mobile device is possible. Preferably, the mobile device is assigned to a person associated with the motor vehicle.The external computing device is, for example, a server located outside the vehicle. User data is stored on the external computing device. This user data is associated with a user profile. The user profile is assigned to the person associated with the vehicle. The person associated with the vehicle is, for example, the driver, another current occupant, and / or the vehicle owner. The driver, occupant, and / or owner can alternatively be referred to as the vehicle user. The communication link is preferably a wireless communication link between a communication interface of the vehicle and a communication interface of the mobile device or a communication interface of the external computing device. The wireless communication link can be provided, for example, via a wireless local area network (WLAN), a Bluetooth connection, and / or a mobile data network, such as one based on the mobile communication standard Long Term Evolution (LTE), Long Term Evolution Advanced (LTE-A), Fifth Generation (5G), or Sixth Generation (6G). If a communication link is established between the vehicle and the mobile device, at least one image available from the mobile device is automatically selected by applying a selection criterion to the image data available from the mobile device. Alternatively or additionally, if a communication link is established between the vehicle and the external computing device, and in particular if user data associated with the user profile of the person assigned to the vehicle is stored in the external computing device, at least one image available from the external computing device is automatically selected. This automatic selection is also performed by applying the selection criterion to the image data included in the user data. The image data describes, for example, a static and / or moving image; that is, it is associated with a photo or a video. It can be specifically configured that when applying the selection criterion, only the most recently added image, or at least one image from all images added within a previous period, is selected. An added image is understood here to be, for example, a photo, video, and / or other type of image stored on the mobile device or, for example, outsourced to an external computing facility. The most recently added image is thus, for example, a photo most recently taken with a camera on the mobile device. This photo can be stored on the mobile device itself or externally. The specified period could be, for example, the last three days, the last week, the last two weeks, the last month, the last six months, or the last year, starting from the current day.The time period can alternatively be any interval between the specified periods, for example, between one day and one year, two days and six months, three days and one month, five days and two weeks, or seven days and ten days. The images added within the specified time period could, for example, be a series of several photos, such as those stored on the mobile device as an automatically generated flashback. Ideally, not just one image is automatically selected, but rather a series of images, such as a series of 5, 10, 20, 30, 50, or 100 images, based, for example, on the generated flashback or a photo album created manually or automatically. The image data can alternatively or additionally be assigned to a website last visited by a user of the mobile device, meaning it can be stored there, for example. If the website is, for instance, an online presence of a tourist information office and / or a booking platform for hotels and / or vacation rentals, the image data assigned to the last visited website could be, for example, photos of a travel destination. Alternatively or additionally to the last visited website as the source of the image data, image data from websites visited within a specified time interval can be considered. This time interval could be, for example, one week, two weeks, or one month. Ultimately, at least one image is available in the form of image data. The image data can be provided by the mobile device, meaning it can be stored on the device itself. Alternatively or additionally, it can be stored, for example, in an external computing facility. This external computing facility could be, for instance, a cloud service to which the image data has been provided. The image data describing the selected image can be transmitted from the external computing facility to the mobile device, for example, via the communication connection, and from there, for example, to the vehicle.In the case of the communication link between the motor vehicle and the mobile device, it is therefore not a requirement that the image data is actually stored on the mobile device itself at the current time, but it can be stored in the external computing facility as a storage device for the mobile device, provided that it can be transferred to the motor vehicle via the mobile device at the current time, i.e., is in principle available from the mobile device. In a further process step, the image data describing at least one selected image can be received. The image data is thus provided. The vehicle receives the image data transmitted to it from the mobile device and / or the external computing unit, since it is provided by the mobile device or the external computing unit. For this purpose, the image data is transmitted to the vehicle, for example, via the communication link. Preferably, a control device is provided in the vehicle, which is configured to automatically select the at least one image from which the image data is provided, i.e., received. In a further process step, preferably using the control device, image content information is determined. This image content information describes a color gradient of the at least one selected image. In other words, the image content information describes a color gradient within the at least one selected image. The color gradient here is a local color gradient, meaning a change in colors observed, for example, across the entire area or at least a partial area of ​​the image. The image content information thus includes color gradient information from which the color gradient in the selected image can be derived. The image content information is determined by applying an image content determination criterion to the provided image data. Both the selection criterion and the image content determination criterion are each a rule and / or an algorithm according to which, respectively, the automatic selection of at least one image or the determination of the image content information takes place. The selection criterion and the image content determination criterion are preferably stored in the control device. Furthermore, it may be provided that when applying the image content detection criterion to several selected images—that is, to the image data describing multiple images—the individual images are combined. Alternatively or additionally, a common image theme shared by the multiple images can be identified. For example, based on photos taken by the vehicle user within the last two weeks, many of which depict a mountain landscape, the common image theme "mountain landscape" or "mountainous landscape" can be identified. Based on this image theme, image content information can be generated, for example, using an artificial neural network, which describes an artificial image of the identified image theme.Using artificial intelligence methods, an artificial mountain landscape can be generated in this example, exhibiting a color gradient typical of such landscapes. The information indicating that the user is interested in or at least likes a mountain landscape is generated based on the automatically selected image (at least one of the available options). This allows the system to tap into a typical area of ​​interest for the user, even though a user-taken photograph is not used, and this can serve as inspiration for the generated visual appearance. In a further process step, the lighting device is controlled taking into account the determined image content information. The appearance generated by the lighting device is adapted to the color gradient of at least one selected image. The lighting device is preferably controlled by means of the control unit. For example, if a smartphone is connected to a vehicle, such as when a smartphone user gets into the vehicle as the driver, the communication connection can be established automatically. The mobile device may contain vacation photos from the user's recent weeks, perhaps taken ten days ago during a hiking trip in the Alps, and show numerous mountain landscapes. Using a selection criterion, at least one of these landscape photos can be automatically selected from the vacation photos and provided to the vehicle as the corresponding image data.The control device then uses the image content detection criterion to determine the typical color gradient of a mountain landscape, which, for example, might include a blue sky with clouds in the upper image area, gray mountains in the middle image area, and a wooded, and therefore green, zone in the lower image area. This color gradient is then provided as image content information to control the lighting device, enabling it to display, for example, three differently colored zones on the display surface in the vehicle's interior, each with its corresponding typical color. Thus, in the vertical direction of the display surface, a light blue hue is selected for text and / or symbols in the upper area, a gray hue in the adjacent middle image area, and a dark green hue in the lower image area.It is also possible, for example, to select side lighting that glows in gray in the vehicle, if corresponding lighting units are installed in the vehicle doors. Furthermore, the font can be customized, for example, by choosing a more ornate or rustic-looking typeface. This results in personalized, user-specific control of the vehicle's lighting system. The appearance of the vehicle's lighting, as created by the system, is adapted, at least with regard to color gradients, to user-specific information, which in this case is provided in the form of image data from at least one selected image. This leads to a high degree of individualization in the lighting design of the vehicle's interior and / or exterior. This can contribute to a sense of well-being for the user and other occupants, especially since, for example, current vacation photos can be used as inspiration for the generated appearance.Furthermore, such a control of the lighting device offers a high recognition value, so that if, for example, the described control is used in a borrowed vehicle, such as a fleet vehicle or a car sharing vehicle, the user can immediately feel comfortable and familiar in the vehicle despite it being unfamiliar to him. The invention provides that the image content information includes structural information. This structural information describes the surface structure of an object depicted in at least one image. For example, if the image depicts a mountain landscape, the surface structure of the mountains shown would be a rough, rocky surface. A pattern representing the surface structure is displayed on a screen of the lighting device. Thus, a typical rock formation is visually displayed as a pattern. If the object in the selected image is, for example, a tree, a pattern symbolizing leaves can be displayed. The surface structure can be a texture or a typical texture of the object depicted in the image.The surface texture is preferably differentiated between a smooth and a matte, and therefore rough, surface. For example, if the image depicts a mountain landscape, instead of the previously described three-color scheme of light blue, gray, and dark green, a gray appearance can be chosen. This gray appearance, however, imitates the rough surface of the mountains in its local color variations, so that ultimately a matte gray design with varying shades of gray is displayed by the lighting device, for example, on the display surface. This leads to a particularly vivid representation of, for example, vacation memories and thus enhances the user's sense of well-being due to the vacation associations it facilitates. According to the invention, the display surface can have a tactile surface. The display surface is preferably designed as a touch-sensitive surface, which, when touched and thus preferably when actuated, generates a surface with varying haptic sensations. Such a display surface is typically based on electroadhesion and enables different haptic effects to be generated during a touch movement. With such a display surface, for example, a local distinction can be made between smooth and rough surface areas. Taking into account the structural information, the display surface then provides haptic feedback that reflects the surface structure when actuated by the occupant of the vehicle.In the case of the selected vacation photo with the mountain landscape, for example, the rough surface of the mountains can be generated as haptic feedback when the touch-sensitive display area is activated. As soon as the user, for instance, swipes a finger across the touch-sensitive display area to activate it, they will be haptically reminded of their vacation, making the control of the lighting device particularly user-specific and thus tailored to the user's preferences. Alternatively or additionally, the invention may provide that location information associated with the provided image data is made available. This location information is, for example, a location coordinate. Alternatively, the location information can name a place, for example, in the form of the name of an area, a city, a village, a region, or a country. The provided location information is taken into account when applying the image content determination criterion. The determined image content information describes a color gradient and / or a surface structure associated with the provided location information. Thus, a location-specific color gradient and / or a location-specific surface structure is determined and made available by means of the image content information.If, for example, the location information for the image data includes a ski resort in the Alps, the determined image content information can describe a winter landscape typical for that known location. Alternatively or additionally, date information can be included in the image data, which, for example, suggests a season such as winter. Alternatively or additionally, the season can be determined from the image data itself, for example, by detecting a white landscape between or around one or more people depicted in at least one image, thus indicating that it is winter. Alternatively or additionally, based on the season, a season-specific vegetation element can be automatically generated and displayed, such as an apple tree with blossoms in images taken in spring, or a tree with autumn-colored leaves in images taken in autumn. The lighting fixture is then preferably designed with a wintery appearance representing a ski resort, for example, in shades of white with snowflake depictions. Here, the location-specific color gradient and / or surface texture are selected for the generated appearance based on the location information in the image data. In this example, the location-specific surface texture is a smooth surface symbolizing a smooth snow surface. However, even if the selected image contains numerous details, such as depictions of people or interior scenes, a more general appearance reminiscent of the image location can still be generated based on the location information. Alternatively or additionally, the following predefined steps can be performed: Clothing data describing the clothing of a vehicle occupant is recorded. This is done using the vehicle's interior detection system, such as the vehicle's interior camera. For example, if the driver of the vehicle is wearing a red wool sweater, the red wool sweater is recorded in this process step, for example, in the form of image data, including any color nuances, and described using the clothing data. Clothing color information is then determined, describing the color of the garment. Additionally, or alternatively, material structure information is recorded, describing the material structure of the garment. The clothing color information is determined by applying a clothing evaluation criterion to the recorded clothing data. Similarly, the material structure information is determined by applying the clothing evaluation criterion to the recorded clothing data. In this example, in addition to the red color, the material structure of wool, which exhibits a typical knit structure for this sweater, is recorded. Ultimately, the local and detailed color gradient of the clothing, for example, that of the driver as a passenger in the vehicle, is thus determined. The lighting system is then activated based on the determined clothing color and material structure information. The system displays a pattern in the clothing color that reflects the material structure. Ultimately, the system selects an appearance that mirrors the occupant's clothing in both color and pattern. This achieves a particularly strong degree of personalization, as the appearance generated by the lighting system adapts to the current attire, for example, that of the driver. The idea is that the driver immediately recognizes that the lighting system is adapting to their clothing, thus making them feel especially comfortable and at ease in the vehicle.It is important to emphasize that the system not only detects and reflects the clothing's color, but also captures and considers the actual texture of the clothing in the form of material structure information. This results in a comprehensive user experience. In one embodiment, the image content detection criterion is applied to identify a landscape depicted in at least one image. The identified image content information then describes the color gradient and / or surface texture of the recognized landscape. To enable this, the image content detection criterion includes, for example, an algorithm that can recognize a depiction of a person in the image and classify the portion of the image showing the person as not belonging to the landscape. Ultimately, using digital image processing methods, the landscape depicted in the image can be identified and preferably isolated from other image content. Here, "landscape" is preferably understood to mean nature photographs, for example, the surroundings of people shown in the image or pure landscape photography.A landscape is, for example, a forest, a garden, a park, a meadow, a mountain landscape, a desert landscape, a beach, a body of water, a lakeshore and / or another type of representation of nature. Furthermore, it can be provided that the structural information describing the surface structure of the recognized landscape is determined by applying a landscape evaluation criterion, where the landscape evaluation criterion is, for example, encompassed by the image content determination criterion. The illumination generated by the lighting device, i.e., the generated appearance, can then display a color gradient that reflects the surface structure of the recognized landscape. Thus, a pattern is displayed that represents the surface structure of the landscape. This advantageously avoids the situation where only the skin tone of people depicted in the selected image is chosen as the dominant color for the generated appearance, but rather ensures that landscape-related color gradients are selected to characterize the appearance.This achieves the described user specification, as it not only creates color gradients that are generally typical for people and are therefore relatively impersonal, but also highlights preferred environments and landscapes that are neutral in themselves but can still have a calming and invigorating effect on the user, as they relate to, for example, at least one of the user's vacation photos or reproduce the vacation photo. In this context, according to a further embodiment, it can be provided that the determined image content information only describes the color gradient and / or surface structure associated with the provided location information if no landscape is recognized in at least one image when applying the image content determination criterion. Thus, the location information can always be used when no actual landscape information can be extracted from the selected image. This is the case, for example, with purely indoor shots or possibly with images containing numerous people.This ensures that the lighting system is always controlled in a meaningful way, preventing the selection of appearances that are not clearly classifiable and therefore do not evoke an association with, for example, a past vacation for the vehicle user. According to an additional embodiment, the determined image content information is stored in the mobile device and / or the user profile. The automatically generated appearance, for example, can thus be saved for future use. Furthermore, it can be provided that features are automatically detected in at least one selected image, such as a color palette, appearance, gradient, structure, pattern, sequence, or size ratio, for example, within the background. These features can be used to display the generated appearance, taking the image content information into account. Furthermore, the user can be given the option, for example by operating a control element within the vehicle, to vary the determined image content information in such a way as to create a particularly convincing appearance. This can then be customized, for example by user-specific definitions such as a font, a color of symbols and / or a background, and subsequently saved with or without these customizations, for example in the control device. The determined image content information can alternatively or additionally be stored, for example, on the mobile device and / or in the external computing device. If this is the case, the previously stored image content information can be reloaded, for example, in another vehicle that establishes a communication connection to the mobile device and / or the external computing device. Thus, the previously determined image content information can always be accessed in multiple vehicles used by the user. The user can select the features to be transferred and / or limit the number of transferred elements, so that, for example, only three out of five detected colors are transferred.Furthermore, the user can assign individual features, for example by selecting a detected surface texture as the background and / or a specific color as an accent color for text and / or symbols. Ultimately, the user can influence all display content and aspects, as well as lights and their color gradients, thus shaping and redefining the generated appearance. By saving the determined image content information, a particularly aesthetically pleasing appearance can be accessed at any time, allowing it to be used independently of the vehicle. Furthermore, it can be intended that the image content information stored in this way can be used not only for the lighting system of a motor vehicle, but also, for example, for the appearance of a mobile device and / or an electrical device assigned to the user, such as a private television. If, for example, the user does not want to repeatedly create and generate new image content information, they can save and reserve a particularly appealing appearance for future applications. This results in a particularly convenient user customization. A particularly advantageous embodiment provides that at least one of the following pieces of information is taken into account when controlling the lighting device: environmental information, position information, ambient temperature information, time information, driving mode information, route information, and / or status information. The environmental information describes the vehicle's surroundings as detected by a vehicle's environmental sensing device. For example, the environmental information describes the current landscape surrounding the vehicle. This environment is detected, for example, by the environmental sensing device, which includes a front camera, side cameras, and / or a rear camera. This allows the vehicle's appearance to be adapted to its current surroundings. Position information describes the location of a vehicle and is determined, for example, by a vehicle positioning device such as a navigation system. Position information is, for example, a coordinate. Subsequently, location information associated with this coordinate (i.e., the position information) can be determined, and, for example, the location-specific color gradient and / or surface texture can be described by the determined image content information. The ambient temperature information is preferably determined by a temperature sensor in the vehicle and describes the temperature in the vehicle's surroundings. For example, a distinction can be made between a warm and a cold environment. In a cold environment, warm colors such as red and / or yellow tones are selected in the vehicle to control the lighting system at low temperatures, whereas cooler colors such as blue tones can be selected at warmer temperatures. This can contribute, for example, to a perceived temperature inside the vehicle. The time information describes a current point in time, allowing, for example, a distinction to be made between a bright and a dark vehicle environment. The time information thus differentiates, at least, between day and night. This allows, for example, an adaptation to the user's biorhythm. For instance, the color gradient of the mountain landscape can be rendered in darker tones if it is currently nighttime, compared to when driving during the day. The driving mode information describes an activated driving mode in the vehicle and allows, for example, different colors and / or surface textures for different driving modes. Driving modes include, for example, a sport mode, an eco-driving mode, an electric-powered driving mode, and / or a comfort mode. The route information describes a vehicle's route and differentiates, for example, between short and long journeys and / or the type of road used. It can thus distinguish, for instance, whether the vehicle is currently on a route in a city center, on a rural road, or on a highway. From this, information about the typical stress level and / or fatigue level of the vehicle's occupant can be gleaned, allowing for the selection of calming or energizing colors for the vehicle's appearance. For a particularly long journey, where a travel time of several hours is expected, invigorating colors might be chosen, whereas for a short journey, such motivational measures for the driver through color design are unnecessary. Condition information describes the state of a vehicle occupant and is captured, for example, by an interior sensing device such as an interior camera. This device can, for instance, monitor the blinking of the driver. Alternatively or additionally, condition information can be obtained using a wearable device such as a smartwatch or fitness tracker. This information includes data on the driver's heart rate, respiration, head movement, and / or eye movement. If, for example, the condition information indicates that the driver is currently tired or at least fatigued, the fatigue can be counteracted by, for instance, a stronger emphasis on the surface texture—that is, a more pronounced display of the pattern imitating the surface texture.When attention levels are high, for example, the system can switch to subtle colors and the absence of any surface texture to avoid distracting the driver. It is therefore possible to select optimal control of the lighting system by taking numerous additional data points into account, as an optimal appearance can be determined that, while adapted to the color gradient of at least one selected image, can still consider numerous or even just one of the other aforementioned pieces of information. This contributes not only to user-specific control of the lighting system, but also to situation- and environment-dependent control. Furthermore, one embodiment includes the following: if the communication link is not established and / or no available image can be selected, the specified steps are carried out. A second aspect of the invention can be a method for controlling a lighting device of a motor vehicle, wherein the method comprises the following steps: acquiring clothing data describing the clothing of an occupant of the motor vehicle by means of an interior detection device of the motor vehicle; determining clothing color information describing the color of the clothing and material structure information describing the material structure of the clothing by applying a clothing evaluation criterion to the acquired clothing data; and controlling the lighting device taking into account the determined clothing color information and the determined material structure information, wherein a pattern representing the material structure is displayed in the clothing color by means of the lighting device.The embodiments described in connection with the first aspect of the invention, combinations of these embodiments, and features of the method according to the first aspect in itself shall be considered embodiments of the second aspect of the invention. Another aspect of the invention relates to a motor vehicle with a lighting device. The motor vehicle is designed to perform the steps of the method relating to a motor vehicle, as described above. The motor vehicle can be configured as a car, in particular as a passenger car or truck, as a bus, or as a motorcycle. The vehicle may preferably comprise at least two separate areas: a front seating area and a rear seating area. It may be provided that the interior lighting control for the front seats (i.e., the driver's and passenger's seats) differs from that for the rear seats. This can be achieved, for example, by selecting a different appearance for the display surfaces of the lighting system located on the back of the driver's and / or passenger's seats compared to the lighting system components in the front seat area. This may require, for example, that a communication connection is established between several mobile devices and the vehicle. Alternatively or additionally, multiple user profiles can be available on the external computing device for providing image data. Furthermore, it is possible to enable user-specific customization of the appearance in addition to or as an alternative to the automatic image selection, allowing, for example, rear-seat occupants to manually select a different appearance than the front-seat occupants. This can be done, for example, by activating one or more corresponding controls in the vehicle and / or on the user's mobile device. The invention also relates to a system comprising a motor vehicle and a mobile device and / or an external computing unit. The system is configured to perform the steps of the method described above. The invention also includes the control device for the motor vehicle. The control device comprises a processor unit configured to execute the method according to the invention, an embodiment of the method according to the invention, and / or a combination of embodiments of the method according to the invention. For this purpose, the processor unit may comprise at least one microprocessor and / or at least one microcontroller. The processor unit may contain program code configured to execute the method according to the invention, the embodiment of the method according to the invention, and / or the combination of embodiments of the method according to the invention when executed by the processor unit. The program code may be stored in a data memory of the processor unit. The invention also includes further developments of the motor vehicle or system according to the invention, which have features as have already been described in connection with the exemplary embodiments of the method according to the invention. The invention also includes combinations of the features of the described embodiments. Exemplary embodiments of the invention are described below. Figure 1 shows a schematic representation of a motor vehicle with a lighting device; Figure 2 shows a schematic signal flow diagram of a method for controlling a lighting device of a motor vehicle; and Figure 3 shows a schematic representation of the interior of a motor vehicle with the lighting device. The embodiments described below are preferred embodiments of the invention. In these embodiments, the described components each represent individual features of the invention that can be considered independently of one another. Each of these features further develops the invention independently and can therefore be considered part of the invention individually or in a combination other than that shown. Furthermore, the described embodiments can also be supplemented by other features of the invention already described. In the figures, functionally identical elements are each provided with the same reference symbols. Figure 1 schematically depicts a motor vehicle 1. The motor vehicle 1 has a lighting device 2. The motor vehicle 1 also has a communication interface 3. A mobile device 4 is arranged in the motor vehicle 1. The mobile device 4 is positioned, for example, in an interior space of the motor vehicle 1, such as in a designated holder. Alternatively or additionally, the mobile device 4 can be arranged outside the motor vehicle 1. The mobile device 4 is preferably assigned to a user of the motor vehicle 1, for example, a driver or another occupant of the motor vehicle 1. The mobile device 4 has a storage unit 5. For example, photos and / or video recordings of the user of the motor vehicle 1 are stored in the storage unit 5. Figure 1 also shows an external computing device 6. The external computing device 6 also has the communication interface 3 and the storage unit 5. User data 7, for example, is stored in the storage unit 5. The user data 7 is assigned to a user profile of a person who is assigned to the motor vehicle 1. This person is, for example, the driver and / or another occupant of the motor vehicle 1, i.e., for example, the user of the motor vehicle 1. A communication connection 8 can be established between the communication interface 3 of the mobile device 4 and the communication interface 3 of the vehicle 1. Alternatively or additionally, a communication connection 8 can be established between the communication interface 3 of the external computing device 6 and the communication interface 3 of the vehicle 1. The communication connection 8 is preferably a wireless connection. The wireless communication connection 8 can be provided, for example, via a wireless local area network (WLAN), a Bluetooth connection, and / or a mobile data network, for example, based on the mobile communication standard Long Term Evolution (LTE), Long Term Evolution Advanced (LTE-A), Fifth Generation (5G), or Sixth Generation (6G). The motor vehicle 1 has a control device 9. Furthermore, the motor vehicle 1 has an environment sensing device 10. The environment sensing device 10 is designed to detect the environment of the motor vehicle 1 and to provide data describing that environment. In the example outlined here, the environment sensing device 10 comprises a front camera, a rear camera, and two side cameras. The side cameras can, for example, be arranged in the side mirrors of the motor vehicle 1 (not shown here). The motor vehicle 1 has a position determination device 11, a temperature sensor 12, and an interior detection device 13. The interior detection device 13 is, for example, designed as an interior camera of the motor vehicle 1, by means of which, for example, the driver of the motor vehicle 1 can be detected and monitored during a journey with the motor vehicle 1. Figure 2 illustrates a method for controlling the lighting device 2 of the motor vehicle 1. In a process step S1, the communication connection 8 is established between the mobile device 4, located in the interior of the motor vehicle 1 in this example, and the motor vehicle 1. Alternatively or additionally, the communication connection 8 is established between the external computing device 6 and the motor vehicle 1. In a process step S2, it is specifically checked whether the communication connection 8 between the motor vehicle 1 and the mobile device 4 and / or the motor vehicle 1 and the external computing device 6 has been established. If this is the case, for example, in a process step S3, at least one image 16 available from the mobile device 4 and / or at least one image 16 available from the external computing device 6 is automatically selected.For this purpose, a selection criterion 14 is applied to image data 15 provided by the mobile device 4 or to image data 15 provided by the external computing device 6, which are included in the user data 7. The selection criterion 14 is applied either to one or more image data 15, which, for example, comprise a review of several photos taken within a specified period. Preferably, for example, a photo most recently taken with a camera of the mobile device 4 is selected. Alternatively or additionally, the image data 15 can represent a video and / or a display on a website recently visited, for example, by the person associated with the mobile device 4 and / or the user profile. In process step S4, the image data 15 describing at least one selected image 16 can be provided to the control device 9. For this purpose, the motor vehicle 1 receives the image data 15. Process steps S1 to S3 can already be carried out by the control device 9 of the motor vehicle 1, at least on the vehicle side. In process step S5, for example, an image content determination criterion 17 is applied to the provided image data 15. This determines image content information 18 that describes a color gradient of at least one selected image 16. This color gradient can, for example, be described by color gradient information 19. Furthermore, structural information 20 can be determined that describes a surface structure of an object depicted in at least one image 16. When applying image content detection criterion 17, a further procedure step S6 can be performed, in which it is checked whether a landscape 21 is depicted in at least one image 16 and is recognized. If the landscape 21 is recognized in at least one image 16 when applying image content detection criterion 17, it can be taken into account when applying image content detection criterion 17, whereby the determined image content information 18 describes the color gradient and / or the surface structure of the recognized landscape 21. This is outlined here as an example for procedure step S5. If, when applying image content determination criterion 17, no landscape 21 is recognized in at least one image 16, a provided location information 22 is taken into account in process step S7 when determining the image content information 18. Independently of this, the location information 22 can be taken into account in process step S5 when applying image content determination criterion 17 (not shown here). The image content information 18 determined in process step S7 describes a color gradient and / or a surface structure associated with the provided location information 22. Following process step S7 or directly following process step S5, process step S8 activates the lighting device 2, taking into account the determined image content information 18. The appearance generated by the lighting device 2 is adapted to the color gradient of at least one selected image 16; that is, at least the color gradient information 19 is considered by the appearance. Furthermore, it is possible that additional information is considered when activating the lighting device 2, namely environmental information 23, which is detected by the environmental sensing device 10 of the vehicle 1 and describes the environment of the vehicle 1; position information 24, which describes a position of the vehicle 1 and is determined by the position determination device 11; and ambient temperature information 25.which describes the temperature of the environment of the vehicle 1 and is determined by means of the temperature sensor 12, time information 26, which describes a current time, which is determined, for example, by means of a clock in the vehicle 1, driving mode information 27, which describes a driving mode activated in the vehicle 1, route information 28, which describes a route of the vehicle 1 and is stored, for example, in a navigation system of the vehicle 1, and / or status information 29. The status information 29 describes a state of the occupant of the vehicle 1 and is determined by means of the interior sensing device 13 and / or, for example, a wearable as a mobile device 4, such as a smartwatch. The status information 29 includes, for example, a heart rate, information on respiration and / or head movement,but also or alternatively to the eye movement of the driver and / or another occupant. The route information 28 includes information on whether the current journey is a short or long journey and / or information about the type of road on which the motor vehicle 1 is traveling. In process step S8, starting from the structural information 20, for example on a display surface 34 (see reference numeral 34 in Fig. 3), the lighting device 2 can display a pattern that reproduces the surface structure. If, in process step S2, it is determined that the communication connection 8 is not established, process step S9 can check whether a available image 16 can be selected, that is, whether image data 15 describing the selected image 16 is available. If this is the case despite the lack of an established communication connection 8, it is still possible to proceed to process step S4, for example, by manually selecting an image 16 that is already stored in the vehicle 1 or is specifically transmitted to the vehicle 1 from the mobile device 4 or the external computing device 6.It may be possible, for example, to provide an image 16 by means of voice input from the user of vehicle 1, who names an image theme such as "mountain landscape," despite the lack of a communication connection 8, because this image is already stored in vehicle 1 under the image theme "mountain landscape." In this case, the process steps S4 to S8 can still be carried out. If no available image 16 can be selected in process step S9, clothing data 30 is acquired, for example, in process step S10. This data is acquired using the interior detection device 13 of the vehicle 1. The clothing data 30 describes, for example, the spatial color gradient of the clothing worn by an occupant of the vehicle 1. The clothing data 30 can also, or alternatively, describe the material and / or weave pattern of the clothing. For example, it can be determined that the driver of the vehicle 1 is wearing a red knitted sweater. In process step S11, a clothing evaluation criterion 31 can then be applied to the acquired clothing data 30. This determines clothing color information 32 that describes the color of the occupant's clothing.In addition, material structure information 33 is determined, which describes a material structure of the occupant's clothing. In process step S12, for example, the lighting device 2 is controlled taking into account the determined clothing color information 32 and the determined material structure information 33. Using the lighting device 2, a pattern representing the material structure is displayed in the clothing color, for example on the display area 34. Ultimately, the generated appearance is adapted to the material structure and the clothing color. The lighting device 2 is then, for example, set to a red tone, with a typical knitted wool pattern being visually represented as the surface structure. Figure 3 shows a sketch of the lighting device 2 in the interior of the motor vehicle 1. This device comprises two display surfaces 34. At least one of the display surfaces 34 preferably has a tactile surface 35. Both display surfaces 34 are preferably designed as touch-sensitive display surfaces 34, i.e., as touch displays. The tactile surface 35 can be controlled such that, taking into account the structural information 20, haptic feedback representing the surface structure of the image 16 is output when activated by the occupant of the motor vehicle 1. In this example, a photograph of a forest landscape was automatically selected from the mobile device 4 in process step S3. This photograph was made available in process step S4. Subsequently, in process step S5, the image content information 18, which represents the color gradient of such a forest photograph, is determined.In process step S8, the lighting device 2 is then controlled such that its appearance is adapted to at least the color gradient of a forest, but also reflects the structural information 20, that is, the typical surface structure of a forest. Here, for example, the color scheme of a map displayed on the centrally located display area 34 is based on the green tones of a forest photograph. On the display area 34 located to the side, with its tactile surface 35, the forest landscape is symbolically represented. When this tactile surface 35 is touched, a sequence of smooth structures with edges is displayed, symbolizing the foliage of the depicted trees.If, as shown here as an example, a coniferous forest dominates the determined image content information 18, a pointed structure can be generated, for example, using the tactile surface 35, which symbolizes the haptic feel of tree needles. The lighting device 2 shown here has several lighting units 36, which are arranged below the two display surfaces 34 and laterally in the area of ​​the doors of the motor vehicle 1. These are illuminated, for example, in a dark green color that corresponds to the color gradient of the forest shown in the selected image 16. The lighting unit 36 ​​preferably has numerous individual light-emitting diodes (LEDs) that can be individually controlled and differentiated with regard to a color tone. Alternatively or additionally, the lighting device 2 can have a display area 34 and / or a lighting unit 36, which is arranged on an exterior part of the motor vehicle 1. In this case, for example, the lighting device 2 can be used to project an image into the surroundings of the motor vehicle 1 and / or to provide an external display and / or external lighting. Overall, the examples demonstrate an adaptive color scheme for the lighting device 2 of a motor vehicle 1. The lighting device 2 should be able to adapt individually and, if necessary, dynamically to the user and / or their surroundings. The adaptation can be actively and thus consciously triggered by the user. Preferably, it occurs fully automatically in the background by means of appropriate control of the control device 9. Active or automatic adjustment can be initiated via the mobile device 4 in the vehicle 1. For example, a specific image 16 to be selected can be captured, for instance, using the environment detection device 10 and / or the camera of the mobile device 4. Alternatively or additionally, it can be provided that the corresponding content is already present, i.e., already stored on the mobile device 4 and / or in the external computing device 6 in the corresponding user profile. The automatic selection can be applied, for example, to at least one photo, one video, and / or website content or the content of an internet address.In this process, desired features are extracted, such as occurring colors, specifically general colors or dominant colors, brightness, contrast, structure or pattern, and / or modulation or frequency in the case of a video as image data 15. In the case of a website, the lighting device 2 can be directly adapted to the content or appearance and can even automatically follow dynamic changes. The selection of at least one available image 16 and its subsequent use to control the lighting device 2 is carried out by the user and / or by automatic weighting. Automatic selection is particularly useful for shared vehicles, such as in car sharing. The selection of at least one available image 16 is carried out independently by the control device 9 without explicit triggering by the user. In a motor vehicle 1, this can occur, for example, when the occupant is photographed. Based on clothing, jewelry, hairstyle, and so on, patterns and structures, color palettes, and / or individual accent colors can be recognized and taken into account for the generated appearance in the form of the determined image content information 18. Ultimately, the appearance can reproduce this information accordingly. Whether on a screen, i.e., the display area 34, or via the lighting unit 36, the appearance adapts individually and dynamically to the user, or the user selects the desired appearance themselves. Especially in vehicle fleets and car-sharing vehicles, a certain degree of brand recognition can therefore be generated. Ultimately, various systems, such as a private television, a mobile device 4 (e.g., a smartphone, tablet, or other system), are adapted to the appearance of the vehicle 1. This can be done in a user-specific or space-related manner. Relevant devices within the vehicle 1 include optical sensors, preferably camera sensors, i.e., the vehicle 1's environmental sensing device 10. Thus, optical sensors integrated directly into the lighting device 2 or the mobile device 4, as well as linked optical systems, such as the interior sensing device 13 (e.g., a driver observation camera, a webcam, or coupled devices with optical sensors), can be provided.The optical sensors, that is, the interior detection device 13 and the environment detection device 10 of the motor vehicle 1, preferably record points, an image and / or a video of the environment. Using the applied criteria, in particular image content detection criterion 17, the following can be determined: color (color palette, weighting according to occurrence), patterns / structures, contrasts, the ambient temperature (using the temperature sensor 12), the color temperature of the ambient light, location-based information (such as time, sun position, ambient color temperature, user's biorhythm), and / or gradients in the image 16 and / or temporal gradients. Based on, for example, a user selection and / or automatically, image content detection criterion 17 takes a freely combinable number of recognized features from the at least one selected image 16. The display system, i.e., by controlling the lighting device 2, reproduces this selection in a suitable form. For this purpose, for example, a corresponding background, color gradients, and / or accent colors can be adjusted on the mobile device 4.In the motor vehicle 1, for example, a background on the display surfaces 34, an accent color in the central touch-sensitive display surface 34 and / or a color and brightness of the lighting in the form of the lighting unit 36 ​​can be adjusted by controlling the lighting device 2. Overall, colors, patterns / textures, ambient temperature, temperature, color temperature (ambient and location-based), day-night cycle, human light rhythm, and / or biorhythm can be recognized. The acquired features then adjust their appearance and / or lighting accordingly. This allows not only control of the vehicle's lighting system 2, but also of its exterior lighting. The user can always make adjustments or specifications, for example, regarding the number of colors, matching colors (suggestions), individual colors, contrasts, pastel / vibrant, no texture, no color, complementary colors, etc. The image content determination criterion 17 can further extrapolate features for a suitable display on a larger area, where, for example, a gradient or pattern is continued. The central aspect is the use of reference data in the form of the selected image 16 to adapt the appearance of the display area 34 and the lighting units 36 in the motor vehicle 1. The reference data, i.e. the automatically selected image 16, is available in physical form, in the form of clothing and objects in the motor vehicle 1, and is actively determined, for example by means of the environment detection device 10 and / or the location information 22 and / or is available as digital information, for example in the form of the image 16 that can be provided on the mobile device 4 or by the external computing device 6. The reference data could be: A mobile device 4 takes a photo at any location, for example, in a museum. This is independent of the vehicle 1 and its location. The user can select a style, i.e., a specific appearance, by activating a touch-sensitive control, using voice input, or manually. For example, they can specify a theme such as "Caribbean," whereupon, taking into account data stored in a database, which is stored, for example, on the external computer 6, at least one image 16 can be selected. A recognized or named location, a season, and a time of day can be considered, thus defining the appearance. As an example, the town of Ischl in winter at 1 p.m. can be chosen for a visual representation based on a winter landscape in sunshine. Interior monitoring of vehicle 1 can be performed using the mobile device 4 to, for example, identify characteristics of the occupant's clothing. For instance, a green wool dress with a chunky knit can be detected and used as a basis for comparison. Furthermore, vehicle 1 itself can collect reference data, for example, while driving, such as during a vacation trip or a commute to work. Applying the image content detection criterion 17, specific features can be selected from the various reference data, ultimately based on the selected image 16. These features include color palette, appearance, gradients, structures, patterns, sequences, and / or size ratios. The user can be presented with choices. Typical suggestions are offered, or detected features are suggested or automatically selected.Other factors that can be considered include readability and / or contrast, as well as content- or application-specific aspects such as whether it's a radio menu, a navigation system menu, or just a background. For readability, for example, the occupant's age, which might be stored in the user profile, can be taken into account. User-defined content is displayed based on the determined properties, which are then adjusted. The user can define individual parts of the display, i.e., its appearance, separately. Here, for example, they can select a font, symbols, and / or a background. The selected settings, and thus the generated appearance in the form of the determined image content information 18 on which the appearance is based, can be saved in the user profile and, if necessary, transmitted via the mobile device 4 using a vehicle-to-infrastructure communication connection, i.e., communication connection 8. This is important for car sharing and personal branding. The user selects the features to be adopted and limits their number, for example, to only adopt three of the five detected colors.This involves assigning features, for example, using a recognized structure as a background, choosing a dominant color as a color accent in a human-machine interface, and so on. Virtually all display content and aspects, as well as lighting and its color gradient, are freely selectable. A bookable customization option may be provided. Only when booked can the determined image content information 18 be stored on the mobile device 4 and / or in its user profile and loaded in another vehicle or for another electrical device. The image content information 18 can be stored in an application. It is possible that only the results of this calculation are provided in the vehicle 1. In this case, the above-mentioned process steps are at least partially carried out not by the control device 9 of the vehicle 1, but by a corresponding control device 9 of the mobile device 4 and / or the external computing device 6. Reference symbol list 1 Motor vehicle 2 Lighting device 3 Communication interface 4 Terminal device 5 Storage unit 6 Computing device 7 User data 8 Communication connection 9 Control device 10 Environment detection device 11 Position determination device 12 Temperature sensor 13 Interior detection device 14 Selection criterion 15 Image data 16 Image 17 Image content determination criterion 18 Image content information 19 Color gradient information 20 Structure information 21 Landscape 22 Location information 23 Environment information 24 Position information 25 Ambient temperature information 26 Time information 27 Driving mode information 28 Route information 29 Status information 30 Clothing data 31 Clothing evaluation criterion 32 Clothing color information 33 Material structure information 34 Display area 35 Surface 36 Lighting unit S1-S12 Process steps

Claims

Method for controlling a lighting device (2) of a motor vehicle (1) which has at least one display area (34) and / or at least one lighting unit (36), the method comprising the following steps: - if a communication connection (8) is established between the motor vehicle (1) and a mobile terminal (4) and / or an external computing device (6) on which user data (7) is stored which is assigned to a user profile of a person assigned to the motor vehicle (1), (S2) automatic selection (S3) of at least one image (16) available from the mobile terminal (4) by applying a selection criterion (14) to image data (15) available from the mobile terminal (4) and / or automatic selection of at least one image (16) available from the external computing device (6) by applying the selection criterion (14) to image data (15) included in the user data (7);- Receiving (S4) the image data (15) describing the at least one selected image (16); - Determining (S5) an image content information (18) that describes a color gradient of the at least one selected image (16) by applying an image content determination criterion (17) to the provided image data (15);- Controlling (S8) the lighting device (2) taking into account the determined image content information (18), wherein an appearance (16) generated by means of the lighting device (2) is adapted to the color gradient of the at least one selected image (16), wherein the image content information (18) has structure information (20) that describes a surface structure of an object depicted in the at least one image (16), and a pattern reproducing the surface structure is displayed on a display surface (34) of the lighting device (2) and (a) the display surface (34) has a tactile surface (35) which, taking into account the structure information (20), provides haptic feedback reproducing the surface structure when actuated by an occupant of the motor vehicle (1);and / or (b) location information (22) associated with the provided image data (15) is provided (S7) and taken into account when applying the image content determination criterion (17) (S5), wherein the determined image content information (18) describes a color gradient associated with the provided location information (22) and / or a surface structure associated with the provided location information (22); and / or the following predefined steps are performed: - Acquisition (S10) of clothing data (30) describing clothing of an occupant of the motor vehicle (1) using an interior detection device (13) of the motor vehicle (1); - Determination (S11) of clothing color information (32) describing a clothing color and material structure information (33) describing a material structure of the clothing by applying a clothing evaluation criterion (31) to the acquired clothing data (30);and- Controlling (S12) the lighting device (2) taking into account the determined clothing color information (32) and the determined material structure information (33), whereby a pattern representing the material structure is displayed in the clothing color by means of the lighting device (2). Method according to claim 1, wherein when applying the image content detection criterion (17) a landscape (21) depicted in at least one image (16) is detected (S6) and the detected image content information (18) describes the color gradient and / or the surface structure of the detected landscape (21). Method according to claim 2, wherein the determined image content information (18) describes the color gradient and / or the surface structure associated with the provided location information (22) only if no landscape (21) is recognized in at least one image (16) when applying the image content determination criterion (17). Method according to one of the preceding claims, wherein the determined image content information (18) is stored on the mobile device (4) and / or in the user profile. A method according to any of the preceding claims, wherein at least one of the following information is taken into account when controlling the lighting device (2): - environmental information (23) describing the environment of the motor vehicle (1) as detected by means of an environmental sensing device (10) of the motor vehicle (1); - position information (24) describing the position of the motor vehicle (1); - ambient temperature information (25) describing the temperature of the environment of the motor vehicle (1); - time information (26) describing the current time; - driving mode information (27) describing a driving mode activated in the motor vehicle (1); - route information (28) describing a route of the motor vehicle (1); - state information (29) describing the state of an occupant of the motor vehicle (1). Method according to one of the preceding claims, wherein the specified steps are carried out if the communication link (8) is not established (S2) and / or no available image (16) can be selected (S9). Motor vehicle (1) with a lighting device (2), wherein the motor vehicle (1) is designed (16) to perform steps of a method according to one of the preceding claims provided for the motor vehicle (1).

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