Methods for adapting a vehicle's driving context and a system for this purpose

Abstract

The invention relates to a method (1) for adapting a vehicle's driving context to a current and / or upcoming activity of at least one user. In measure a), calendar data and image data of the user are recorded. In measure b), the calendar data and image data are analyzed using an AI unit, and a current and / or upcoming activity of the user is recognized. In measure c), the driving context is adapted to the current and / or upcoming activity of the user. The invention also relates to a system for carrying out the method (1).

Description

[0001] The invention relates to a method for adapting a vehicle's driving context to a current and / or upcoming activity of at least one user. The invention also relates to a system for executing the method.

[0002] In a vehicle, the driving environment can be adapted to a user's pre-stored profile and / or their current well-being. For example, the interior temperature and / or lighting can be adjusted.

[0003] DE 10 359125 A1 discloses a method for detecting the driver's readiness to react. This involves analyzing the driver's pupillary reflex while driving. To prevent the driver from being blinded by glare, the pupillary reflex is examined in relation to changes in ambient brightness.

[0004] The object of the invention is therefore to provide an improved or at least alternative embodiment of a method of the generic type, in which the described disadvantages are overcome. The object of the invention is also to provide a corresponding system for carrying out the method.

[0005] This problem is solved according to the invention by the subject matter of the independent claims. Advantageous embodiments are the subject matter of the dependent claims.

[0006] The method according to the invention is designed to adapt the driving context of a vehicle to the current and / or upcoming activity of at least one user. The vehicle in question is primarily a highly automated and / or autonomous vehicle. In the method, measures a), b), and c) are carried out in the aforementioned sequence. In measure a), image data of the at least one user are captured using a camera or an interior camera of the vehicle, and calendar data of the at least one user is also captured. In measure b), an AI unit analyzes the captured calendar data and / or image data and recognizes the current and / or upcoming activity of the at least one user. In measure c), the driving context is adapted to the current and / or upcoming activity of the at least one user.

[0007] By combining calendar and image data from at least one user, the AI ​​unit can reliably recognize current and / or upcoming activity, and the driving context can then be context-sensitively and individually adapted to the current and / or upcoming activity of that user. This allows user needs to be precisely captured, resulting in greater comfort and safety. Particularly in autonomous vehicles, or during autonomous driving, vehicle usage can be optimally tailored to the current and / or upcoming activity of the user, thereby improving the driving experience.

[0008] In measure a), the calendar data of at least one user can be recorded from at least one personal device of the at least one user after explicit permission has been granted by the at least one user.

[0009] In measure b), the calendar data of at least one user can be semantically evaluated using the AI ​​unit. In measure b), the AI ​​unit can fuse the captured calendar data and the captured image data to recognize current and / or upcoming activity. Using the vehicle's camera or interior camera, the image data of at least one user can be continuously captured and analyzed.

[0010] In measure b), the current and / or upcoming activity of at least one user can be identified as working and / or relaxing and / or celebrating and / or an urgent appointment and / or an emergency run - such as a fire brigade run.

[0011] In measure c), when adapting the driving context, a driving program and / or route guidance and / or ambient lighting and / or music selection can be adjusted. For example, the driving program can differentiate between a calm driving style for work and a brisk driving style for emergency calls. The route guidance can differentiate between, for example, predominantly quiet routes and predominantly fast routes. The ambient lighting can differentiate, for example, between concentration-enhancing light for work and dynamic colored light for parties.

[0012] The invention also relates to a system for adapting a driving context to a current and / or upcoming activity of at least one user in a vehicle. The system is designed and configured to perform the method described above. The system may include a control unit. The control unit may be designed to capture calendar data of the at least one user and / or image data of the at least one user captured by a camera. The control unit may include an AI unit. The AI ​​unit may be designed and / or pre-trained to analyze the captured calendar data and / or image data and to recognize a current and / or upcoming activity of the at least one user.Furthermore, the control unit can be designed to communicate with at least one vehicle subsystem, enabling it to modify the driving context by controlling that subsystem based on the current and / or upcoming activity of the user. This system allows for the centralized control of multiple vehicle subsystems via the control unit, thereby achieving centralized, secure, and scalable control. The subsystem can, for example, control the vehicle's driving dynamics, navigation, lighting, and / or audio. To avoid repetition, reference is made to the explanations above.

[0013] In the context of the present invention, the term "driving context" means a plurality of variable parameters of a vehicle that are perceptible to at least one user. In particular, the term "driving context" can include one or more parameters of the interior and / or one or more parameters of the vehicle and / or one or more parameters of the current journey. The term "driving context" can be used synonymously with the terms "user environment" and / or "vehicle interior environment".

[0014] Further important features and advantages of the invention will become apparent from the dependent claims, the drawing and the associated description of the figures based on the drawing.

[0015] It is understood that the features mentioned above and those to be explained below can be used not only in the combinations specified, but also in other combinations or on their own, without leaving the scope of the present invention.

[0016] Preferred embodiments of the invention are shown in the drawing and are explained in more detail in the following description.

[0017] The only Fig. Figure 1 shows a schematic sequence of a method 1 according to the invention. The method 1 is designed or intended for adapting a vehicle's driving context to a current and / or upcoming activity of a vehicle user. The method 1 comprises measures a), b), and c).

[0018] In measure a), the user's calendar data and image data are collected. The image data can be continuously recorded using a camera or interior camera in the vehicle. Calendar data can be read or recorded from the user's personal device after user consent. In measure b), the collected calendar data and image data are analyzed using an AI unit to identify current and / or upcoming user activity. Such activity could include, for example, working, relaxing, celebrating, attending an urgent appointment, or responding to an emergency call. In measure c), the driving context is adapted to the user's activity. This can involve adjusting a driving program—for example, a calm driving style while working or a faster driving style during an emergency—or route guidance—for example, prioritizing quieter routes.Other parameters such as music selection or ambient lighting - for example, concentration-enhancing light when working or dynamic colored light at a party - can also be adjusted. QUOTES INCLUDED IN THE DESCRIPTION

[0000] This list of documents cited by the applicant was automatically generated and is included solely for the reader's convenience. The list is not part of the German patent or utility model application. The DPMA accepts no liability for any errors or omissions. Cited patent literature

[0000] DE 10 359125 A1

[0003]

Claims

[1] Method (1) for adapting a vehicle's driving context to a current and / or upcoming activity of at least one user, comprising the following measures: a) Capturing image data of at least one user using a camera and calendar data of at least one user; b) Analyzing the captured calendar data and / or the captured image data and recognizing a current and / or upcoming activity of at least one user using a computer unit, c) Adapting the driving context to the current and / or upcoming activity of at least one user. [2] Method (1) according to claim 1, characterized by , - that in the measure a) the calendar data of at least one user is recorded after authorization by at least one user from at least one personal device of at least one user, and / or - that in measure b) the calendar data of at least one user is semantically evaluated using the AI ​​unit. [3] Method (1) according to claim 1 or 2, characterized by , - that in measure b) the current and / or upcoming activity of at least one user is identified as working and / or relaxing and / or celebrating and / or an urgent appointment and / or an emergency run, and / or - that in measure c) when adapting the driving context, a driving program and / or route guidance and / or ambient lighting and / or music selection are adapted. [4] Method (1) according to any of the preceding claims, characterized by , that in measure b) the AI ​​unit for recognizing the current and / or upcoming activity merges the recorded calendar data and the recorded image data. [5] System for adapting a vehicle's driving context to a current and / or upcoming activity of at least one user, wherein the system is designed to perform the method (1) according to any of the preceding claims.

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