Method for storing vehicle data continuously acquired in a motor vehicle

Abstract

The invention relates to a method for storing vehicle data (5) of a motor vehicle (1) continuously acquired in the motor vehicle (1). The invention also relates to the motor vehicle (1). The method comprises: determining situation information (10), which describes a situation of the motor vehicle (1) on the basis of a driving situation (11) and / or an environmental situation (12) in an environment of the motor vehicle (1), by applying a situation determination algorithm (13); checking whether the determined situation information (10) is included in a predefined group (14) of situation information (10); and, if the determined situation information (10) is included in the predefined group (14), storing at least some of the vehicle data (5) in a memory device (4) in order to provide the stored vehicle data (5) for at least one analysis function (15).

Description

[0001] 24-3782 PIF

[0002] Methods for storing vehicle data continuously recorded in a motor vehicle

[0003] The invention relates to a method for storing vehicle data of a motor vehicle, wherein the vehicle data is continuously recorded in the motor vehicle. The invention also relates to a motor vehicle for carrying out such a method.

[0004] Various vehicle data can be continuously recorded in a motor vehicle. This data describes, for example, the state of at least one control unit, sensor device, and / or other vehicle component. Based on this data, energy consumption and / or decisions regarding a vehicle function can be analyzed. However, this data is typically not stored for subsequent analysis and is therefore not available for such purposes.

[0005] German patent DE 102011 017590 B4 discloses a method for vehicle data recording. This involves receiving inputs from a memory, including several vehicle data recording parameters that comprise a vehicle data recording configuration, as well as receiving a data recording trigger signal from one or more vehicle inputs. Upon receiving the trigger signal, diagnostic data is received from one or more vehicle modules via a vehicle network. This diagnostic data is based on the vehicle data recording configuration and is stored in a memory for the purpose of diagnosing one or more vehicle problems.

[0006] German patent DE 11 2006003591 B4 discloses a method for providing vehicle information to an owner or other recipient. Several triggers of various different types are defined on the vehicle, and the occurrence of a trigger is monitored. If it is determined that the trigger has occurred, vehicle data relating to one or more vehicle states is transmitted to a central data system. 24-3782 PIF

[0007] 2

[0008] The object of the invention is to provide a solution by means of which vehicle data of a motor vehicle can be meaningfully stored.

[0009] The problem is solved by the subject matter of the independent patent claims.

[0010] A first aspect of the invention relates to a method for storing vehicle data from a motor vehicle. The vehicle data is continuously acquired in the motor vehicle. The vehicle data describes the current state and / or operation of the vehicle, in particular at least one component of the motor vehicle. The vehicle data may also be or include data acquired and / or determined by the at least one component, in particular sensor data. The vehicle data is not automatically stored in the motor vehicle, i.e., not without the method steps described below, but is, for example, not stored, continuously overwritten, and / or deleted.

[0011] The procedure involves determining situational information by applying a situational assessment algorithm. The situational information describes the situation of the vehicle based on a driving situation and / or an environmental situation in the vehicle's surroundings. The driving situation pertains to the vehicle's current journey. The situational information describing the situation based on the driving situation can include at least one piece of information describing the vehicle's journey and / or the vehicle itself during the current journey. The situational information describing the situation based on the environmental situation can, for example, include at least one piece of information describing a traffic situation in the surroundings and / or the surroundings themselves. Thus, the situational information can describe an internal and / or an external situation of the vehicle.

[0012] The situation assessment algorithm includes, for example, at least one rule and / or regulation whose application or execution in the vehicle determines the situation information. The situation assessment algorithm can be rule-based and / or based on machine learning methods; that is, it can, for example, include at least one artificial neural network that has been trained in a training process to determine the situation information.

[0013] The procedure includes checking whether the determined situation information is encompassed by a predefined group of situation information. If the determined situation information is encompassed by the predefined group, it is saved as PIF24-3782.

[0014] 3

[0015] At least some of the vehicle data is stored in a storage device to make the stored vehicle data available for at least one predefined analysis function. The predefined group of situation information comprises several situations for which vehicle data storage is intended. The predefined group thus specifies various trigger situations. By checking whether the identified situation information is included in the predefined group of situation information, it is determined whether a condition for triggering the storage of vehicle data in the vehicle is met or not.

[0016] It may be stipulated, in particular, that the storage of at least part of the vehicle data in the storage device only occurs if the determined situation information falls within the specified group. It may therefore be stipulated that if the determined situation information does not fall within the specified group, no vehicle data is stored, so that, in particular, no analysis function can be applied to the vehicle data.

[0017] The group of situational information specifically includes only those situations in which analyzing vehicle data is relevant or is expected to be relevant. Analyzing vehicle data is referred to here as the analysis function applied, for example, to the stored vehicle data. The stored vehicle data can be, for example, all or part of the vehicle data continuously recorded in the vehicle. Which vehicle data is stored—that is, at least part of the vehicle data—may depend on the determined situational information or be independent of it.

[0018] According to the inventive method, the timing of continuously recorded vehicle data storage is determined based on the situation. This ensures that the vehicle data is stored effectively.

[0019] The process can be terminated, for example, if the storage device no longer has any storage space available for vehicle data. If this is the case, the stored vehicle data can be transmitted to an external device via a communication interface and / or, in particular, deleted or overwritten after transmission. 24-3782 PIF

[0020] 4

[0021] The procedure is preferably carried out using a control unit of the motor vehicle, which, for example, determines the situation information, performs the described check, and generates and applies a command for saving the vehicle data. The procedure can therefore be understood as a computer-implemented method.

[0022] One embodiment provides that the situation determination algorithm is applied to at least one of the following pieces of information in order to determine at least the driving situation described by the situation information: a vehicle speed of the motor vehicle, an angle of inclination between a longitudinal direction of the motor vehicle and a horizontal, a steering angle of a steering system of the motor vehicle, an activation state of a direction indicator of the motor vehicle and / or an expected driving maneuver along a route planned for the motor vehicle.

[0023] When the situation assessment algorithm is applied to vehicle speed, the determined situation information can, for example, depend on and / or describe the current speed of the vehicle. The determined situation information is always included in the predefined group of situation information if the vehicle speed is greater than, equal to, or less than a predefined speed limit, or if it lies within a predefined speed range. Therefore, at least one vehicle speed can be specified at which, or from which, the storage of vehicle data is desired.

[0024] When the situation determination algorithm is applied to the angle of inclination, the determined situation information can depend on the inclination of the ground on which the vehicle is located. The angle of inclination between the longitudinal direction of the vehicle and the horizontal describes, for example, the angle of an ascent or descent of the ground, particularly a road, on which the vehicle is currently driving or stationary. The determined situation information is always included in the predefined group of situation information, for example, if the angle of inclination is greater than, equal to, or less than a predefined angle of inclination limit, or if it lies within a predefined range of angle of inclination values. 24-3782 PIF

[0025] 5

[0026] When the situation assessment algorithm is applied to the steering angle, the determined situation information can depend on the course of a road on which the vehicle is driving or stationary, particularly on whether the road is curved. The steering angle of the vehicle describes, for example, whether the vehicle is driving straight ahead, negotiating a curve, or changing direction, such as when turning, parking, and / or making a U-turn. Specifically, the steering angle describes the curve the vehicle is negotiating, for example, whether the curve is tight or wide.The determined situation information is always included in the predefined group of situation information, for example, when the steering angle is greater than, equal to, or less than a predefined steering angle limit value, or lies within a predefined steering angle value range, particularly when the steering angle suggests a tight or sharp curve. Thus, predefined driving situations related to cornering and / or other steering maneuvers can be recognized, and the storage of vehicle data can be triggered for these situations.

[0027] When the situation assessment algorithm is applied to the activation state of the turn signal, the determined situation information can depend on a driver's intention to turn or change direction and / or a driving function of the vehicle. The activation state of the turn signal can distinguish at least between activated and deactivated. Activating the turn signal is expected, for example, when turning from a currently driven road, parking, changing lanes, and / or overtaking, and can therefore describe such driving situations. The determined situation information is always included in the predefined group of situation information, for example, when the activation state describes that the turn signal is activated and / or is activated for a predefined minimum or maximum duration.

[0028] When the situation determination algorithm is applied to the expected driving maneuver, the determined situation information can, for example, describe whether a turn off the road or continuing on the road is expected. The expected driving maneuver can be determined and provided, for example, from navigation data of the vehicle's navigation system and / or a navigation system activated in the vehicle. Here, the expected driving maneuver corresponds, for example, to a driving maneuver determined and specified by the route planning of the navigation system. The situation information can therefore be derived from a predicted 24-3782 PIF.

[0029] 6

[0030] future driving behavior depends on this. The determined situation information is, for example, always included in the specified group of situation information if the expected driving maneuver describes turning off the road, driving through a curve and / or a change of road type, for example between a highway, a country road and / or a road within a town or city.

[0031] The information described can be obtained, for example, from at least one sensor device of the vehicle, the navigation system, the turn signals, the vehicle's steering system, and / or possibly other vehicle components, and provided to the situation assessment algorithm. This allows access to a wide range of information to take the driving situation into account.

[0032] Another embodiment includes applying the situation determination algorithm to at least one of the following pieces of information in order to determine at least the environmental situations described by the situation information: a weather condition in the environment, lighting conditions in the environment, an obstacle for the motor vehicle in the environment and / or a predicted collision event affecting the motor vehicle.

[0033] When the situation determination algorithm is applied to the weather condition, the determined situation information may depend on the current weather situation and / or ambient conditions. The weather condition describes current weather, in particular rain, snow, and / or ice. The weather condition can influence the detection accuracy and / or reliability of the vehicle's sensor devices, especially environmental sensors such as a camera. Alternatively or additionally, the weather condition can affect the vehicle's responsiveness, for example, in connection with snow and ice, especially slippery conditions. The determined situation information is always included in the predefined group of situation information, for example, when the weather condition describes rain, snow, and / or ice.

[0034] When the situational awareness algorithm is applied to the ambient lighting conditions, the situational information obtained can depend on whether the environment is currently bright or dark and / or whether there is glare from the sun and / or an artificial light source, particularly for the sensor device, such as the camera. Therefore, depending on the lighting conditions, 24-3782 PIF

[0035] 7

[0036] A deterioration in the reliability of sensor devices and / or a vehicle function of the motor vehicle may be present. The determined situational information is, for example, always included in the predefined group of situational information when the lighting conditions describe glare or darkness.

[0037] When the situation assessment algorithm is applied to the obstacle in the environment, the determined situation information can describe whether at least one obstacle for the vehicle is present in the vicinity and / or what type of obstacle is detected. The obstacle for the vehicle in the environment can be determined, for example, by evaluating environmental sensor data from the vehicle's environmental sensor system, in particular the camera. The obstacle is, for example, a static or moving object that affects or is likely to affect the vehicle's journey. The obstacle could be, for example, a pedestrian, an infrastructure element, and / or another road user in the vicinity. The obstacle typically triggers a response from at least one vehicle function, in particular a driver assistance system and / or a vehicle function for semi-automated or fully automated driving.To analyze this reaction, the vehicle data should be stored. The determined situational information is, for example, always included in the predefined group of situational information when an obstacle is detected in the vicinity.

[0038] When the situation determination algorithm is applied to the predicted collision event, the determined situation information can depend on whether the collision event is predicted or not. For example, the determined situation information is always included in the predefined group of situation information if the collision event is predicted. The predicted collision event could be a collision with at least one obstacle for the vehicle. The predicted collision event can be determined analogously to the obstacle. The predicted collision event thus describes a hazardous situation expected at least at the current time, which may, for example, require or will require emergency braking of the vehicle. It may therefore be useful to save the vehicle data in the event of a predicted collision event. 24-3782 PIF

[0039] 8

[0040] This allows access to a wide range of information to take into account the surrounding situation, especially the traffic situation in the area.

[0041] The individual pieces of information described can be considered individually or in combination. For example, if the turn signal is activated and the vehicle speed is simultaneously above the specified speed limit and / or the steering angle is within the specified range for a tight curve, situational information can be determined that falls within the specified group, and the vehicle data is then saved. Furthermore, if the turn signal is activated and a collision with an obstacle is predicted, situational information can also be determined that falls within the specified group, and the vehicle data is saved.

[0042] Which vehicle data is stored can, in turn, depend on the situation information obtained.

[0043] In a preferred example, the determined situation information specifies which vehicle data from a given group of continuously acquired vehicle data are stored in the storage device, if the determined situation information is included in the given group of situation information.

[0044] Another embodiment provides that the vehicle data for at least one control unit and / or at least one sensor device of the motor vehicle describes: a voltage, a current, a temperature, a control signal, and / or sensor data. Voltage and current are useful parameters for describing the performance, energy consumption, efficiency, and / or function of the control unit and / or sensor device. The temperature, for example, indicates whether the control unit and / or sensor device is currently producing heat, which can indicate, for instance, a high load, especially an overload. Based on the temperature, the operation, load, and / or potentially a hazardous condition of the control unit and / or sensor device can therefore be detected.In one example, the temperature can be detected and / or determined in a motor vehicle using at least one temperature sensor, the voltage using at least one voltage measuring device, and / or the current using at least one current measuring device. The control signal can be understood as a control command.24-3782

[0045] 9

[0046] The data is determined by the control unit and / or relates to the sensor system. The sensor data is acquired, for example, by at least one sensor system. The sensor data can relate to at least one control unit and, for example, describe the control unit's state. Thus, vehicle data that is interesting for further analysis and not typically stored in the vehicle by default may be intended for storage.

[0047] In a preferred example, the sensor device is at least one environmental sensor device of the motor vehicle, such as a camera and / or a radar device, LiDAR device, and / or ultrasonic sensor. Other sensor devices and environmental sensor devices are possible. The at least one control unit can, for example, be assigned to the steering system, i.e., a steering system, a braking system, and / or a drive system of the motor vehicle. Furthermore, the at least one control unit can be assigned to the sensor device and / or at least one vehicle function, in particular at least one driver assistance system and / or at least one vehicle function for semi-automatic or fully automatic driving.

[0048] Another embodiment provides that the situation information describes a future situation of the vehicle. If the determined situation information falls within the predefined group, the storage of the vehicle data is initiated before the situation described by the situation information occurs. In other words, the method preferably operates predictively, so that the storage of vehicle data begins even before the situation starts, thus enabling the storage of vehicle data for the entire situation. This is suitable, for example, if the activation state of the turn signal, the expected driving maneuver, the obstacle, and / or the predicted collision event are taken into account when determining the situation information, since this information relates to situations that have not yet occurred and are only expected in the future.This enables the analysis of complex situations, as vehicle data can be stored and subsequently analyzed both before and during the situation.

[0049] Another embodiment provides that an analysis algorithm of the analysis function is applied to the stored vehicle data in order to personalize and / or further develop and / or revise at least one vehicle function of the motor vehicle. One goal of storing the vehicle data can therefore be to use the stored vehicle data within the framework of an optimization or improvement.24-3782 PIF

[0050] 10

[0051] which uses at least one vehicle function. Personalizing the vehicle function enables a user-specific vehicle function that can be convenient for the driver. Further developing and / or revising the vehicle functions can, for example, contribute to increasing the safety of the vehicle function and / or reducing and / or optimizing its energy consumption. The analysis algorithm is therefore useful for further consideration of the stored vehicle data.

[0052] The vehicle data that is stored may, in one example, depend on the analysis function that is to be personalized, further developed and / or revised.

[0053] The analysis algorithm includes, for example, at least one rule and / or regulation, the application or execution of which personalizes, further develops, and / or revises at least one vehicle function. The analysis algorithm can be rule-based and / or based on machine learning methods.

[0054] Another embodiment provides that the vehicle data is stored in the storage device within the vehicle and / or transmitted from the vehicle to an external device. Within the vehicle, the vehicle data is transmitted, for example, to an internal storage device. The internal storage device is a component of the vehicle. Alternatively or additionally, the vehicle data can be transmitted within the vehicle to a communication interface of the vehicle and from there to the external device. Storage can therefore take place entirely within the vehicle or only partially within the vehicle, in which case it also takes place partly outside the vehicle.

[0055] The external device is, for example, a backend, a server, a cloud server, and / or another computing device located outside the vehicle. The external device can alternatively or additionally be another vehicle. In a preferred example, the stored vehicle data is transmitted to a cloud server and from there further transmitted or analyzed, for example, by applying the analysis algorithm. In a preferred example, the analysis function is not applied within the vehicle but is applied as part of an external analysis and thus further processing. This is particularly advantageous for saving computing resources in the vehicle and not for the 24-3782 PIF.

[0056] 11

[0057] If necessary, computationally intensive analysis functions can be used. Furthermore, the external system can easily receive vehicle data from multiple vehicles and analyze it individually or together.

[0058] Another embodiment provides that the situational information is determined by the external device and transmitted to the vehicle. It can therefore be provided that the vehicle's situation is determined outside the vehicle. This can be done, for example, by means of the external device or another computing device located outside the vehicle. Furthermore, the external device can, for example, determine information about the weather and / or the ambient light conditions and / or the obstacles and / or the predicted collision event and transmit it to the vehicle.

[0059] In a preferred embodiment, the external device comprises at least one augmented reality headset that determines the situational information. For example, a user of another vehicle, such as an occupant of the other vehicle, can use augmented reality headsets to perceive the surroundings of the other vehicle, in which the vehicle is located. An upcoming driving situation, a driver request, the exterior situation, and / or the interior situation of the vehicle can then be detected and / or determined using the augmented reality headsets. The augmented reality headsets can then determine the situational information and, for example, transmit it to the vehicle so that it can then store the vehicle data. Thus, various techniques can be used to determine the situational information accurately and quickly.

[0060] Another aspect of the invention relates to a motor vehicle that is configured to perform the method described above. The motor vehicle carries out the method. The motor vehicle is, for example, a passenger car, a truck, a bus, a motorcycle, and / or a moped.

[0061] Further features of the invention will become apparent from the claims, the figures, and the description of the figures. The features and combinations of features mentioned above in the description, as well as the features and combinations of features mentioned below in the description of the figures and / or shown in the figures alone, are usable not only in the combinations specified, but also in other combinations or individually. 24-3782 PIF

[0062] 12

[0063] The invention will now be explained in more detail with reference to a preferred embodiment and the drawings. The drawings show:

[0064] Fig. 1 is a schematic representation of a motor vehicle; and

[0065] Fig. 2 shows a schematic representation of a signal flow graph of a method for storing vehicle data of a motor vehicle.

[0066] Fig. 1 shows a motor vehicle 1 that has at least one control unit 2 and / or at least one sensor device 3. The sensor device 3 is, for example, an environmental sensor device, such as a front camera in the example sketched here. The control unit 2 is assigned, for example, to a steering system, a braking system, and / or a drive system of the motor vehicle 1. Alternatively or additionally, the control unit 2 can be configured for climate control, automatic seat adjustment, and / or another comfort function of the motor vehicle 1. The control unit 2 can also be assigned to the sensor device 3 and, for example, determine and provide control signals for the sensor device 3. The sensor device 3 and / or the control unit 2 mentioned here are purely exemplary. Other sensor devices 3 and / or control units 2 are possible.

[0067] In the example outlined here, the motor vehicle 1 has a storage device 4. Vehicle data 5 relating to the control unit 2 and / or the sensor device 3, and which are, for example, recorded and / or determined by these or the control unit 2, can be transmitted to the storage device 4 and stored therein.

[0068] The vehicle 1 may have a communication interface 6 to transmit data, such as vehicle data 5, to and / or receive data from an external device 7. The external device 7 is, for example, a cloud server 8 and / or augmented reality glasses 9 located in the vicinity of the vehicle 1. Alternatively or additionally, the external device 7 may be or comprise a backend, another vehicle 1, a server, and / or other computing equipment. 24-3782 PIF

[0069] 13

[0070] Fig. 2 shows steps of a procedure for storing vehicle data 5 of the motor vehicle 1. The vehicle data 5 are continuously recorded in the motor vehicle 1. A procedure step S1 comprises determining situation information 10, which describes a situation of the motor vehicle 1 based on a driving situation 11 and / or based on an environmental situation 12 of the motor vehicle 1. The environmental situation 12 includes, for example, a traffic situation in the vicinity of the motor vehicle 1.

[0071] The situation information 10 can be determined, for example, by applying a situation determination algorithm 13. The situation determination algorithm 13 can be applied to at least one of the following pieces of information in order to determine at least the driving situation 11 described by the situation information 10: a vehicle speed of the motor vehicle 1, an angle of inclination between a longitudinal direction of the motor vehicle 1 and a horizontal, a steering angle of the motor vehicle 1, an activation state of a turn signal indicator of the motor vehicle 1, and / or an expected driving maneuver along a planned route for the motor vehicle 1.The situation determination algorithm 13 can be applied to at least one of the following pieces of information to determine at least the environmental situation 12 described by the situation information 10: a weather condition in the environment, in particular rain, snow and / or ice, lighting conditions in the environment, an obstacle for the vehicle 1 in the environment and / or a predicted collision event affecting the vehicle 1. Thus, numerous details about the situation of the vehicle 1 can be taken into account when determining the situation information 10.

[0072] In process step S2, for example, it is checked whether the determined situation information 10 is included in a predefined group 14 of situation information 10. The group 14 of situation information 10 is fixed here and specifies various driving situations 11 and / or environmental situations 12 that require the storage of vehicle data 5, in particular predefined parts of the vehicle data 5. If it is determined in process step S2 that the determined situation information 10 is included in the predefined group 14, in process step S3 at least a part of the vehicle data 5 is stored in the storage device 4 in order to make the stored vehicle data 5 available, for example, for an analysis function 15 in process step S4. The analysis function 15 can, for example, include an analysis algorithm 16 applying it to the vehicle data 524-3782 PIF.

[0073] 14

[0074] to be used to personalize and / or further develop and / or revise at least one vehicle function of the motor vehicle 1.

[0075] The vehicle data 5 can be transmitted to the storage device 4 within the vehicle 1 and / or transmitted from the vehicle 1 to the external device 7 and then stored, for example, in the external device 7 if it includes the storage device 4. Furthermore, the situation information 10 can, for example, be determined by the external device 7 and transmitted to the vehicle 1. This is useful, for example, whenever the external device 7 is or includes the augmented reality glasses 9, which are located, for example, in another vehicle 1 in the vicinity of the vehicle 1 and can determine the driving situation 11 and / or the environmental situation 12 for the vehicle 1 and thus provide the situation information 10.

[0076] The vehicle data 5 describes, for example, a voltage, a current, a temperature, a control signal, and / or sensor data for at least one control unit 2 and / or at least one sensor device 3 of the motor vehicle 1. In a preferred example, the situation information 10 describes a future situation of the motor vehicle 1. If it is included in the predefined group 14, the vehicle data 5 is stored even before the situation described by the situation information 10 occurs; that is, the storage of the vehicle data 5 starts before the actual situation occurs.

[0077] Overall, the examples demonstrate an intelligent trigger system for the targeted acquisition and storage of vehicle data 5. Currently, numerous vehicle data points 5 are collected, such as voltages, currents, and / or temperatures. However, these measurements are not stored in the vehicle 1 or externally. This is improved because, as soon as situational information 10 occurs that falls within the predefined group 14, the vehicle data 5, in particular all vehicle data 5, is automatically stored in the storage device 4. Thus, vehicle data 5 can be continuously stored, although in one example, only as much vehicle data 5 is stored as the storage device 4 has available resources, i.e., storage space.

[0078] At the end of a journey and / or if the vehicle memory is full, the vehicle data 5 can be transmitted to the external device 7 according to an example. This can alternatively or additionally be done during the journey. 24-3782 PIF

[0079] 15

[0080] In another example, the measurement technology with data storage detects or measures all measurement channels for current, voltage, and / or temperature while the vehicle 1 is in motion, but also when stationary and / or in other scenarios. However, this data is not stored; that is, the vehicle data 5 is continuously acquired but not saved. Actual saving is triggered by one or more events, specifically by checking the situation information 10. If certain conditions are met, meaning desired driving situations 11 and / or environmental conditions 12 are present, the vehicle data 5 is automatically saved. In principle, a so-called system freeze occurs for several seconds or minutes for the entire situation of interest, meaning, in particular, even before the situation begins.

[0081] Numerous examples should be included. An event-driven trigger can be used, such as one dependent on the vehicle's speed or its tilt, i.e., the angle of inclination and / or the steering angle. For example, if vehicle 1 exceeds a certain speed, the storage process can be triggered to activate system measurements, such as the control of the braking system and / or the steering system. The vehicle's tilt can relate to a specific angle of inclination or a specific steering angle, which can also trigger a process, for example, to monitor driving behavior and adjust power steering accordingly.

[0082] Triggers based on external conditions include, for example, road conditions and / or weather conditions. In adverse weather conditions such as rain, snow, and / or ice, the measurements of the sensor devices 3 become more intensive in order to better monitor the responsiveness of the vehicle 1. Therefore, considering weather conditions as well as lighting conditions is appropriate. The traffic situation can also be relevant. A trigger could also be the traffic in front of the vehicle 1 or pedestrians in hazardous areas, for example, if emergency braking becomes necessary. Thus, attention is paid to obstacles for the vehicle 1 and / or predicted collision events.

[0083] A combination of several of the aforementioned pieces of information, and therefore multiple triggers, is possible. If the route from a starting point to a destination is known in high resolution in the navigation system, a turn at an intersection, for example, can be known minutes in advance. The 24-3782 PIF can then be saved in good time.

[0084] 16

[0085] Vehicle data 5 is triggered and thus activated, for example, to operate vehicle data 5 relating to the steering system or associated control units 2. Activating the turn signal can also be used as a trigger event to initiate the turning process at an intersection, parking, or similar actions. Environmental sensors, such as a camera, can also trigger the saving of vehicle data 5, for example, if a hazardous situation is imminent and a steering or braking maneuver is necessary.

[0086] At least one camera, a fogging sensor, and / or other sensors can be mounted on the windshield. Such sensors are referred to as sensor devices 3, in particular as environmental sensor devices. The sensors on the windshield can detect rain and snow. This allows for the early detection of the manual or automatic activation of a wiper or wiper motor, and the corresponding activation of the measurement technology. This function of automatic wiper or wiper motor activation can be monitored and subsequently analyzed using appropriately stored vehicle data 5.

[0087] The augmented reality glasses 9 can apply corresponding algorithms based on machine learning, which can be described, for example, as perception, to recognize upcoming driving situations, driving wishes, exterior and / or interior situations and accordingly trigger the saving of the vehicle data 5 and thus initiate the process.-3782 PIF

[0088] 17

[0089] Reference symbol list

[0090] motor vehicle

[0091] Control unit, sensor system, storage device, vehicle data, communication interface, external device

[0092] Cloud server

[0093] Augmented reality glasses, situation information, driving situation, environmental situation, situation assessment algorithm, group

[0094] Analysis function

[0095] Analysis algorithm

Claims

24-3782 PIF 18 Patent claims 1. Method for storing vehicle data (5) of a motor vehicle (1) continuously recorded in the motor vehicle (1), comprising: - Determining situation information (10) that describes a situation of the motor vehicle (1) based on a driving situation (11) and / or an environmental situation (12) in an environment of the motor vehicle (1) by applying a situation determination algorithm (13); - Check whether the identified situation information (10) is included in a given group (14) of situation information (10); and - if the determined situation information (10) is included in the specified group (14), storing at least part of the vehicle data (5) in a storage device (4) in order to make the stored vehicle data (5) available for at least one analysis function (15).

2. Method according to claim 1, wherein the situation determination algorithm (13) is applied to at least one of the following information in order to determine at least the driving situation (11) described by the situation information (10): - a vehicle speed of the motor vehicle (1); - an angle of inclination between a longitudinal direction of the motor vehicle (1) and a horizontal; - a steering angle of the motor vehicle (1); - an activation state of a motor vehicle direction indicator (1); and / or - an anticipated driving maneuver along a planned route for the motor vehicle (1).

3. Method according to one of the preceding claims, wherein the situation determination algorithm (13) is applied to at least one of the following information in order to determine at least the environmental situations (12) described by the situation information (10): - a weather condition in the surrounding area; - Ambient lighting conditions; 24-3782 PIF 19 - an obstacle to the motor vehicle (1) in the vicinity; and / or - a predicted collision event involving the motor vehicle (1).

4. Method according to one of the preceding claims, wherein the vehicle data (5) describe (3) for at least one control unit (2) and / or at least one sensor device (7) of the motor vehicle (1): - a tension; - a current; - a temperature; - a control signal; and / or - sensor information.

5. Method according to one of the preceding claims, wherein the situation information (10) describes a future situation of the motor vehicle (1) and, if the determined situation information (10) is included by the specified group (14), the storage of the vehicle data (5) is started before the occurrence of the situation described by the situation information (10).

6. Method according to one of the preceding claims, wherein an analysis algorithm (16) of the analysis function (15) is applied to the stored vehicle data (5) in order to personalize and / or further develop and / or revise at least one vehicle function of the motor vehicle (1).

7. Method according to one of the preceding claims, wherein the vehicle data (5) are transmitted for storage in the storage device (4) within the motor vehicle (1) and / or from the motor vehicle (1) to an external device (7).

8. Method according to one of the preceding claims, wherein the situation information (10) is determined by an external device (7) and transmitted to the motor vehicle (1).

9. The method of claim 8, wherein the external device (7) comprises at least one augmented reality headset (9) that determines the situation information (10). 24-3782 PIF 20 10. Motor vehicle (1) designed to perform a method according to any of the preceding claims.

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