Controlling a lighting scenario using an exterior camera

Abstract

The invention relates to a method (100) for controlling (106) a lighting scenario of a vehicle (10), in which an image relating to at least one section of an area surrounding the vehicle (10) is captured (102). On the basis of the captured (102) image, a requirement profile relating to the lighting scenario is then determined (104), the lighting scenario being controlled (106) in accordance with the requirement profile.

Description

[0001] 202310022

[0002] 1

[0003] Description

[0004] Controlling a lighting scenario with an outdoor camera

[0005] The invention relates to a method for controlling a lighting scenario of a vehicle and to a vehicle with a lighting system.

[0006] To control a lighting scenario in a vehicle's interior, it is already known to install a brightness sensor. Based on the sensor's readings, the lighting scenario is then adjusted. However, this method only allows adjustments to the interior lighting conditions after the sensor has detected a change. For example, if the vehicle enters a tunnel, the existing lighting scenario will only adapt to the new lighting conditions after a time delay. For instance, a lighting device might only be switched on or the intensity of an already switched-on lighting device increased after the vehicle has entered the tunnel. Therefore, adapting a lighting scenario to a predetermined set of requirements lags behind changes in actual lighting conditions.This can lead to passengers in the affected interior being exposed to very poor lighting conditions for a short time. This impairs passenger comfort and can also increase the risk of accidents.

[0007] Furthermore, lighting conditions inside a vehicle typically change frequently and rapidly due to driving speed. Adjusting lighting scenarios based on measurements from an interior brightness sensor therefore often leads to an unsuitable implementation of lighting scenarios relative to actual lighting conditions. For example, this can result in lighting devices being switched on even though the light intensity already meets predetermined requirements, or lighting devices being dimmed or switched off even though the light intensity falls below predetermined requirements. Controlling lighting scenarios in this way is therefore often inefficient and can lead to significant passenger dissatisfaction. Moreover, this method results in inefficient operation of the lighting devices.Furthermore, this causes frequent use of lighting devices, which reduces their lifespan. 202310022.

[0008] 2

[0009] The object of the present invention is to provide an improved method for controlling a lighting scenario in a vehicle.

[0010] This problem is solved by a method having the features of claim 1.

[0011] Furthermore, the invention is based on the objective of providing a vehicle for carrying out the method.

[0012] This problem is solved by a method with the features of the subordinate substantive claim.

[0013] Advantageous further training courses are each the subject of dependent sub-claims.

[0014] The method according to the invention is designed to control a vehicle's lighting scenario. For this purpose, the method provides that an image of at least a section of the vehicle's surroundings is captured. Furthermore, a requirement profile for the lighting scenario is determined based on the captured image. The lighting scenario is then controlled according to this requirement profile. Using this requirement profile, for example, the type, extent, and / or intensity of operation of lighting devices within a lighting system can be specified. Advantageously, the requirement profile for the lighting scenario specifies brightness, color temperature, operating state, and / or the number of active lighting devices within the lighting system.

[0015] This allows a vehicle's lighting scenario to be quickly and reliably adapted to real-world lighting conditions. This counteracts the lagging adjustment of a lighting scenario that occurs when the actual lighting conditions are not reflected. This enables an efficient and reliable method for controlling a lighting scenario. Furthermore, it can achieve a long service life for the lighting system. Maintenance and repair costs for the lighting system can therefore be reduced. Finally, this approach can provide a high level of comfort for passengers.

[0016] Preferably, an image of at least one section of the vehicle's surroundings is captured using an external camera. Particularly preferably, the external camera is a visual camera and / or an infrared camera. Further preferably 202310022

[0017] 3. An image of at least one section of the vehicle's surroundings is captured using an external camera mounted on the vehicle's exterior. This external camera allows for the rapid and reliable recording of an image of a section of the vehicle's surroundings. Furthermore, a variety of different information can be captured from this image, tailored to the specific situation and requirements. For example, in addition to information about ambient brightness, the external camera can capture several other pieces of information useful for controlling a lighting scenario, such as color temperature, color composition, and / or the location, type, and / or extent of shading. For instance, objects can be identified from the captured image, which can then be used to change the lighting conditions.Such objects can include a bridge, a tunnel, a building, trees, and / or vegetation. This allows for a cost-effective method of controlling a lighting scenario.

[0018] In an advantageous embodiment, an image of a section of the vehicle's surroundings, located ahead in the vehicle's direction of travel, is captured. This allows for the predictive detection of changes in actual lighting conditions. Therefore, any delay in adapting a lighting scenario to real-world lighting conditions can be minimized or even avoided.

[0019] A further advantageous development provides that a requirements profile for the lighting scenario is predicted based on a model of at least one section of the environment. Preferably, the lighting scenario is predicted based on a model of the section of the environment ahead in the direction of travel. The lighting scenario is then controlled according to the predicted requirements profile. Preferably, a time is also predicted at which the lighting scenario is adapted to changing light conditions according to the predicted requirements profile. This allows changes to the lighting scenario to be implemented slowly and smoothly. Furthermore, lighting devices can be activated early, ensuring that a lighting scenario is implemented punctually and reliably.Advantageously, preparatory measures for adapting a lighting scenario to changing environmental influences can be planned in advance. In a preferred application, the realization of the predicted requirements profile for the lighting scenario can be aligned with the point in time when actual lighting conditions change. For example, a lighting scenario can be continuously adapted to a predicted darkening or brightening of an interior space.

[0020] The vehicle's lighting system can be adjusted as described in section 4. Alternatively or additionally, a predetermined lighting scenario can be adjusted even before a change in lighting conditions occurs. For example, the interior can be brightened before it is darkened. This prevents occupants from being endangered by poor lighting conditions. Furthermore, it eliminates the need for extensive computing resources to quickly determine the lighting scenario requirements. Therefore, the required computing resources can be kept to a minimum.

[0021] Preferably, a lighting scenario for the vehicle's interior lighting is controlled according to the requirements profile. Alternatively or additionally, a lighting scenario for the vehicle's exterior lighting can be controlled according to the requirements profile. This enables cost-effective and reliable independent control of a lighting scenario for the interior lighting and a lighting scenario for the vehicle's exterior lighting. Therefore, a lighting situation adapted to both external and internal lighting conditions can be individually configured for passengers. This ensures a high level of comfort and safety for passengers.

[0022] In a further advantageous embodiment, a forecast of the lighting scenario requirements is generated based on information regarding the shadowing of an upcoming roadway. This shadowing information is preferably obtained from an image of at least a section of the vehicle's surroundings. For example, shadows and / or objects that influence the lighting conditions along the upcoming roadway are identified based on this image. These objects could be, for instance, infrastructure such as buildings, bridges, tunnels, and / or roads, and / or botanical features such as bushes, trees, and / or forests. The type and / or size of objects can be determined efficiently using computer-implemented object recognition algorithms.Preferably, the identified objects are linked to a location. This makes it possible to create and / or supplement a digital surface model based on the captured image of at least a section of the environment. Advantageously, the digital surface model is created and / or supplemented based on images captured by external cameras from various vehicles. 202310022.

[0023] 5

[0024] Preferably, information concerning the vehicle's position is recorded. Based on this recorded position information, predefined information regarding the shadowing of an upcoming section of the route is then determined. This shadowing information can be determined cost-effectively based on a representation of at least one section of the surroundings that affects the upcoming section of the route. Preferably, the shadowing information is determined using a digital terrain model of the type described above.The digital surface model expediently includes information on infrastructure, such as the type and size of buildings, bridges, tunnels, and / or roads, and / or the type and size of vegetation, such as bushes, trees, or forests, as well as information on the terrain topology. Objects along the route that affect lighting conditions can thus be taken into account efficiently and reliably when controlling lighting scenarios. Based on information about the shading of the upcoming route, the required lighting scenario profile is then predicted. In this way, a highly reliable prediction of the lighting scenario requirements can be achieved.Furthermore, the digital terrain model allows for the consideration of changes in real-world lighting conditions, which cannot be captured by a physical representation of the environment, when controlling the lighting scenario. Therefore, reliable control of the lighting scenario can be provided even in the case of curved roads or limited visibility.

[0025] Based on the captured image, information regarding the brightness and / or color composition of at least one section of the vehicle's surroundings captured by the image can be determined cost-effectively. The lighting scenario requirements profile can then be determined based on this information. In this way, a requirements profile can be provided that ensures a lighting scenario is highly likely to meet passenger needs. Furthermore, this method allows for a lighting scenario to be adapted to real-world lighting conditions with high accuracy. For example, in a specific application, the color temperature of a lighting scenario might be adjusted to match the color composition of the ambient light.

[0026] Preferably, a lighting scenario is selected from a group of predefined lighting scenarios based on the requirements profile. This allows for a rapid 202310022

[0027] 6 and time-efficient execution of the process. A lighting scenario can thus be adapted cost-effectively and promptly to rapidly changing lighting conditions during a vehicle's journey. Furthermore, this saves additional computing resources, as lighting scenarios, for example, do not need to be recalculated.

[0028] Based on the captured image, information regarding a meteorological event can also be determined. The requirements profile for the lighting scenario can then be calculated based on this information. This allows weather events to be reliably and cost-effectively considered when controlling a lighting scenario. Furthermore, this method makes it possible to predict weather events into which the vehicle is traveling. Examples of meteorological events include precipitation, fog, thunderstorms, and / or clouds. This enables the rapid and reliable detection and, ideally, prediction of impaired lighting conditions caused by thunderstorms, fog, clouds, or snowfall.Lighting scenarios can then be reliably and appropriately adapted to spontaneously occurring and / or often difficult-to-predict meteorological events. The quality of a predicted lighting scenario requirement profile can therefore be easily improved.

[0029] Furthermore, the system can be configured to record information about the sun's position at a specific location on the vehicle. The lighting scenario requirements can then be determined based on this information. This allows for efficient adjustment of the lighting scenario requirements for different times of day. Additionally, lighting scenarios can be continuously adapted to changing light conditions associated with the sun's position, such as those that occur noticeably during twilight. This also allows for a reliable consideration of the expected intensity of sunlight when controlling the lighting scenarios. In this way, a comfortable lighting environment can be created for passengers.Furthermore, continuously adjusting lighting scenarios ensures that lighting devices are treated gently. This can further extend the lifespan of the lighting devices.

[0030] In an advantageous further development, it is provided that a second-type image of at least a section of the vehicle's interior is captured. Based on 202310022

[0031] 7. From the second type of image, information regarding the number of people, their activities, brightness, and / or color composition of a light in the interior can be determined. Based on this information, the lighting scenario requirements profile can be determined. This enables an energy-efficient control method. For example, lighting devices can be deactivated in an area of ​​the vehicle's interior where no people are present. This reduces the energy consumption of the lighting system. Furthermore, a lighting scenario can be adapted to the activities of people in a passenger compartment.For example, the color temperature and / or lighting intensity can be adjusted in different ways for passengers who are working, reading, or resting. Furthermore, the second type of image allows for easy monitoring of lighting conditions in the interior and, if necessary, further adjustment of a lighting scenario. This enables improved control of a lighting scenario.

[0032] According to the invention, a vehicle is further provided which has a lighting system by means of which the method according to the invention can be carried out. The vehicle is in particular a rail-bound vehicle.

[0033] The vehicle according to the invention has an external camera by means of which an image of at least a section of the vehicle's surroundings can be captured. Furthermore, the lighting system has several lighting devices by means of which a predetermined lighting scenario can be realized. The vehicle according to the invention also has a control device which is configured to carry out the method according to the invention by means of the external camera and the lighting system.

[0034] The control device can be, for example, a computer, a microcontroller, a processor, or another programmable hardware component. The control device is expediently configured to read, receive, write, transmit, store, and / or manage data. Furthermore, the control device can be a virtualized hardware resource, a cloud computing environment, and / or a runtime environment with variable computing and / or storage capacities. In this context, the term "runtime environment" should be understood in the sense of computer science. Alternatively, or 202310022

[0035] 8. Additionally, the vehicle preferably has several control devices which are jointly configured to carry out the method according to the invention. This allows the method to be carried out decentrally. In particular, this allows the method to be carried out using edge computing. This allows the available computing resources of various control devices provided in the vehicle to be used to carry out the method according to the invention. Edge computing is to be understood in the sense of information technology.

[0036] This allows for a vehicle with a reliably controllable lighting system that can be quickly adapted to real-world lighting conditions. Passengers' time in the vehicle can thus be made pleasant, comfortable, and safe. Furthermore, this approach enables the provision of a lighting system with a long service life, thereby minimizing maintenance and repair costs.

[0037] An advantageous vehicle enhancement involves aligning the external camera's field of view with the vehicle's intended direction of travel. This allows for a simple and reliable prediction of the lighting scenario's requirements. This effectively counteracts the problem of the lighting scenario lagging behind actual lighting conditions. Changes in lighting conditions can be detected early and taken into account when adjusting the lighting scenarios. For example, tunnels, underpasses, bridges, buildings, trees, bushes, and / or wooded areas can be identified early. Shadowing of the roadway and the associated changes in actual lighting conditions can be anticipated. This allows the lighting scenarios to be reliably and quickly adapted to the actual lighting conditions.

[0038] Preferably, the vehicle has an additional camera with which a second-type image of at least a section of the vehicle's interior can be captured. This second-type image is, in particular, the second-type image described above. Information concerning the number and / or activities of persons in the interior and / or information concerning brightness and / or color temperature in the interior can be captured easily and reliably. The quality of the lighting control can thus be monitored and, if necessary, improved in an efficient manner. 202310022

[0039] 9

[0040] A further advantageous development provides that the lighting elements of the multiple lighting devices in the lighting system are arranged within the vehicle's interior. Furthermore, it can be provided that lighting elements of the multiple lighting devices are also arranged on the exterior of the vehicle. In this way, a lighting scenario can be reliably and quickly controlled as needed for both the interior and at least a section of the vehicle's exterior environment. Moreover, an energy-efficient lighting system can be provided in which, for example, lighting elements arranged on the exterior are deactivated while the vehicle is in motion. When the vehicle stops at a stop, it can be provided that lighting elements arranged on the exterior of the vehicle are activated. In this way, safety for passengers boarding and / or alighting can be increased.This allows predetermined lighting scenarios to be implemented both on the exterior of the vehicle and in the interior of the vehicle, according to the requirements profile.

[0041] The properties, features, and advantages of the invention described above, as well as the manner in which these are achieved, are explained in more detail in the following description of exemplary embodiments of the invention in conjunction with the figures. Where appropriate, the same reference numerals are used in the figures for the same or corresponding elements of the invention. The exemplary embodiments serve to illustrate the invention and do not limit the invention to the combinations of features specified therein, including functional features. Furthermore, all features specified in the exemplary embodiments can be considered in isolation and combined appropriately with the features of any claim. The figures described below are schematic drawings and not to scale.

[0042] They show:

[0043] FIG 1 shows an embodiment of the vehicle according to the invention and an illustration of an example of the method according to the invention for controlling a lighting scenario of the vehicle;

[0044] FIG 2 illustrates an example of the method according to the invention using a schematic flowchart. 202310022

[0045] 10

[0046] FIG 1 shows a schematic representation of an embodiment of a rail-bound vehicle 10. Furthermore, FIG 1 illustrates an embodiment of a method 100 for controlling 106 a lighting scenario in the rail-bound vehicle 10.

[0047] The rail-bound vehicle 10 has a lighting system 18. The lighting system 18 includes, for example, several lighting devices 20. These lighting devices 20 include, for example, interior lighting, table lighting, and / or exterior lighting. Some of the lighting devices 20 are located in an interior space 24 of the rail-bound vehicle 10. Others are located on an exterior surface 26 of the rail-bound vehicle 10. Furthermore, the rail-bound vehicle 10 has an external camera 12, which is, for example, a visual camera. The external camera 12 is configured to capture an image 102 of a section of track ahead of the rail-bound vehicle 10 in the direction of travel 16. For this purpose, the external camera 12 is oriented in the direction of travel 16.Furthermore, additional external cameras, not shown in detail, may be provided, by means of which further sections of the environment of the rail-bound vehicle 10 are recorded 102. The rail-bound vehicle 10 also has several internal cameras 14, one of which is shown schematically as an example. The internal cameras 14 are designed as visual cameras. Furthermore, each internal camera 14 is configured to capture an image of the interior 24 122.

[0048] Furthermore, the rail-bound vehicle 10 has a control device 22. This is configured to implement predetermined lighting scenarios using the lighting system 18. For this purpose, the lighting devices 20 of the lighting system 18 are controlled by the control device 22 according to a predetermined requirement profile, such that a color temperature, a color intensity, and an operating state can be specified for each individual lighting device 20 of the lighting system 18.

[0049] The lighting scenario of the rail-bound vehicle 10 is controlled in the example described here 106 by determining a requirement profile for the lighting scenario of the rail-bound vehicle 10 based on the captured 102 image of the section of the track ahead in the direction of travel 16 of the rail-bound vehicle 10 104. This allows the requirement profile to be determined predictively 104. According to the 202310022

[0050] The lighting scenario is then controlled based on the 11 determined requirements profile (104). This allows the lighting scenario to be quickly and reliably adapted to changing lighting conditions. Furthermore, such an adaptation can be carried out in an energy-efficient and environmentally friendly manner.

[0051] FIG 2 illustrates, by means of a schematic flowchart, preferred embodiments of the example of method 100 for controlling 106 of the lighting scenario of the rail-bound vehicle 10, as explained in connection with FIG 1.

[0052] The example of the method 100 described here for controlling 106 the lighting scenario of the rail-bound vehicle 10 initially provides that, based on the image 102 of the preceding section of the track of the rail-bound vehicle 10 captured by the external camera 12, information concerning brightness and color composition is determined 114. In a simplest embodiment, the requirement profile for the lighting scenario can already be determined 104 based on the determined 114 information concerning the brightness and color composition of the preceding section.

[0053] Additionally, information concerning a meteorological event is preferably determined based on the captured image. For example, information concerning precipitation, fog, clouds, or thunderstorms can be obtained using the captured image. Based on this, a possible impairment of actual lighting conditions can then be determined. These findings can then be easily taken into account when determining the requirements profile for the lighting scenario. Therefore, the quality of the determined requirements profile can be improved using the information obtained regarding a meteorological event. Furthermore, a forecast of the requirements profile for the lighting scenario is made possible based on the information concerning the meteorological event.Based on information concerning the meteorological event, it is possible to predict early on whether and when the rail-bound vehicle will reach a detected meteorological event. Therefore, it is possible to react in a timely manner to rapidly changing and usually difficult-to-predict meteorological events.

[0054] To further improve a forecast 108 of a requirements profile, the example of procedure 100 described here provides in one implementation variant that information concerning the position of the rail-bound vehicle 10 is recorded 110. Based on the recorded 110 information concerning the position of the 202310022

[0055] In the rail-bound vehicle 10, it is then provided that predefined information regarding the shadowing of an upcoming track is determined 112. Preferably, the predefined information regarding the shadowing of an upcoming track is taken from a digital terrain model. In this way, for example, bridges, buildings, stations, tunnels, underpasses, vegetation, wooded areas and / or fences can be identified that are located along a track and cause shadowing of the upcoming track. Alternatively or additionally, information regarding the shadowing of the upcoming track is acquired by means of the external camera 12. In a preferred embodiment, information regarding the shadowing of the upcoming track acquired by means of the external camera 12 is used to create and / or supplement the digital terrain model.

[0056] Using the information obtained regarding the shadowing of the upcoming track of the rail vehicle, the requirements profile for the lighting scenario can be predicted with further improved accuracy. For example, changes in real lighting conditions that cannot be detected by the external camera can be easily taken into account when controlling the lighting scenario using the digital terrain model. Even if the external camera's view is obstructed, for example by dirt or a curved section of track, potential shadowing can still be considered early on when controlling the lighting scenario.

[0057] Furthermore, another advantageous embodiment provides that information regarding the sun's position at a specific location of the rail-bound vehicle 10 is recorded 120. When determining 104 the requirement profile for the lighting scenario, different times of day can thus be easily distinguished and the expected intensity of solar radiation can be taken into account. In addition, lighting scenarios can be continuously adapted to a changing sun position. For example, a twilight phase can be taken into account in a cost-effective manner. Moreover, seasonally induced differences in solar radiation intensity can be considered in a simple and cost-effective way when controlling the lighting scenario 106.Furthermore, a forecast of the requirements profile can be further improved based on information concerning the sun's position at the location of the rail-bound vehicle. 202310022.

[0058] 13

[0059] In another preferred embodiment of the example of method 100 described herein, images of the second type relating to the interior 24 of the rail-bound vehicle 10 are captured by means of the interior cameras 14. Based on the captured images of the second type 122, information concerning the number of persons and the activity of the persons located in the interior 24 is then determined 124. Furthermore, it can preferably be determined 124 where persons are located in the interior 24 of the rail-bound vehicle 10. The lighting scenario requirements can then be easily and reliably adapted to the number of persons. For example, lighting devices 20 located in areas of the interior 24 where no persons are present can also be deactivated.Alternatively or additionally, a lighting scenario can be locally tailored to the activity of people in the interior. For example, if a person is resting, a low color temperature and low light intensity can be used. If a person is working or reading, a higher light intensity can be used locally. The energy efficiency of the lighting system 18 can be optimized in this way. Furthermore, comfort can be individually increased for people performing different activities.

[0060] Furthermore, it is planned that, based on the 122 captured images of the second type of interior space 24, information regarding the brightness and color composition of a light in the interior space 24 will be determined 114. Based on this information, it can be checked cost-effectively whether a realized lighting scenario meets predetermined requirement profiles. In particular, a simple and reliable check of realized lighting scenarios can be carried out.

[0061] In another preferred embodiment of method 100, it is provided that a lighting scenario is selected from a group of predefined lighting scenarios based on the requirements profile for the lighting scenario 116. This allows for simple and rapid control 106 of lighting scenarios. Determining individual control parameters for the purpose of implementing the requirements profile, which is usually associated with high computational effort, can thus be avoided simply and in a resource-efficient manner. Instead, a reliable and convenient selection from the group of predefined lighting scenarios can be used to fulfill a predefined requirements profile. 202310022

[0062] 14

[0063] Furthermore, in accordance with the determined 104 and / or predicted 108 requirement profile regarding the lighting scenario, in addition to the lighting devices 20 arranged in the interior 24, preferably further lighting devices 20 arranged on the outside 26 of the rail-bound vehicle 10 are controlled 106. If lighting conditions are impaired, for example due to darkness and / or meteorological events, this can ensure a high level of safety and comfort for passengers boarding and / or alighting. During a journey, either lighting devices 20 arranged on the outside 26 can be deactivated and / or, for the purpose of better visibility and increased road safety, lighting devices 20 arranged on the outside 26 can be activated in a predetermined manner.

[0064] Although the invention has been further illustrated and described in detail by the preferred embodiments, the invention is not limited by the disclosed examples and other variations can be derived by the person skilled in the art without leaving the scope of protection of the invention.

[0065] Regardless of the grammatical gender of a particular term, persons with male, female or other gender identities are included.

Claims

202310022 15 Patent claims 1. Method (100) for controlling (106) a lighting scenario of a vehicle (10), in which - an image relating to at least a section of the vehicle's surroundings (10) is captured (102); - based on the captured (102) image, a requirements profile concerning the lighting scenario is determined (104); - the lighting scenario is controlled according to the requirements profile (106).

2. Method (100) according to claim 1, wherein the image of at least one section of the environment of the vehicle (10) is captured by means of an external camera (12) (102).

3. Method (100) according to claim 1 or 2, wherein an image of a section of the environment of the vehicle (10) in the direction of travel (16) of the vehicle (10) is captured (102); 4. Method (100) according to any one of the preceding claims, wherein - based on the image, preferably of the section of the environment ahead in the direction of travel (16), a requirements profile concerning the lighting scenario is predicted (108); - the lighting scenario is controlled according to the predicted (108) requirement profile (106).

5. Method (100) according to one of the preceding claims, wherein a lighting scenario of an interior lighting of the vehicle (10) and / or a lighting scenario of an exterior lighting of the vehicle (10) is controlled by means of the requirement profile (106).

6. Method (100) according to one of the preceding claims, wherein the requirement profile concerning the lighting scenario is predicted on the basis of information concerning a shadowing of an upcoming driving route (108).

7. Method (100) according to any one of the preceding claims, wherein 202310022 16 - information concerning the position of the vehicle (10) is recorded (110); - based on the recorded (110) information concerning the position of the vehicle (10) a predetermined information concerning a shadowing of a preceding driving route is determined (112); - based on the information obtained (112) concerning the shadowing of the road ahead, the requirement profile concerning the lighting scenario is predicted (108).

8. Method (100) according to any one of the preceding claims, wherein - on the basis of the captured (102) image, information concerning a brightness and / or a color composition of at least one section of the vehicle's surroundings (10) captured by means of the image (102) is determined (114); - the requirements profile concerning the lighting scenario is determined on the basis of the information obtained (114) concerning the brightness and / or the color composition (104).

9. Method (100) according to one of the preceding claims, wherein a lighting scenario is selected from a group of predefined lighting scenarios based on the requirements profile relating to the lighting scenario (116).

10. Method (100) according to any one of the preceding claims, wherein - based on the captured (102) image, information concerning a meteorological event is determined (118); - the requirements profile concerning the lighting scenario is determined on the basis of the information obtained (118) concerning the meteorological event (104).

11. Method (100) according to any one of the preceding claims, wherein - information concerning the position of the sun at a position of the vehicle (10) is recorded (120); - the requirements profile concerning the lighting scenario is determined on the basis of the information concerning the position of the sun at the position of the vehicle (10) (104).

12. Method (100) according to any one of the preceding claims, wherein 202310022 17 - a second type image of at least one section of an interior (24) of the vehicle (10) is captured (122); - based on the captured (122) second type image, information concerning a number of persons, an activity of persons, a brightness and / or a color composition of a light in the interior (24) is determined (114, 124); - the requirements profile concerning the lighting scenario is determined on the basis of the information obtained (114, 124) concerning a number of persons, an activity of persons, a brightness and / or a color composition of a light in the interior space (24) (104).

13. Vehicle (10), in particular a rail-bound vehicle, comprising: - an external camera (12) by means of which an image of at least one section of the vehicle's (10) surroundings can be captured; - Lighting system (18) with multiple lighting devices (20) by means of which a predetermined lighting scenario can be realized; - a control device (22) which is configured to carry out the method (100) according to one of the preceding claims by means of the external camera (12) and the lighting system (18).

14. Vehicle (10) according to claim 13, characterized in that a viewing direction of the external camera (12) is directed in a provided driving direction (16) of the vehicle (10).

15. Vehicle (10) according to claim 13 or 14, characterized in that Lighting devices of the multiple lighting devices (20) are arranged in an interior (24) of the vehicle (10) and / or lighting devices of the multiple lighting devices (20) are arranged on an outside (26) of the vehicle (10).

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