DE102022120848A1 - Method, device and computer program for determining vehicle data in connection with an emergency call - Google Patents

Abstract

A method (300) for using vehicle data (101) of at least one vehicle (100) is described. The method (300) includes receiving (301) an emergency call (211, 212) sent by a user's user device (201, 202). The method (300) further comprises determining (302), depending on the received emergency call (211, 212), vehicle data (101) of a vehicle (100) in which the user device (201, 202), at least probably, is or was ordered before the emergency call (211, 212) was sent. The method (300) further comprises providing (303) the determined vehicle data (101) to initiate (304) at least one measure, which is dependent on the vehicle data (101), relating to an emergency associated with the emergency call (211, 212).

Description

The invention relates to a method, a device and a corresponding computer program which are designed to determine vehicle data in connection with an emergency call.

A vehicle can be designed to record larger amounts of vehicle data during operation of the vehicle and to store it (at least temporarily, within the framework of appropriate regulations) typically for the purpose of further developing vehicles or to fulfill the so-called product monitoring obligation.

The vehicle data can be transmitted, typically in an anonymized manner, to a device external to the vehicle, for example to a backend server, whereby the transmitted vehicle data can be used, for example, for various statistical evaluations or for the further development of vehicles.

This document deals with the technical task of enabling further use of vehicle data, particularly in connection with emergencies. In particular, the technical task may include determining or initiating an appropriate or most appropriate measure due to an emergency.

The task is solved by each of the independent claims. Advantageous embodiments are described, among other things, in the dependent claims. It should be noted that additional features of a patent claim dependent on an independent patent claim, without the features of the independent patent claim or only in combination with a subset of the features of the independent patent claim, can form a separate invention that is independent of the combination of all the features of the independent patent claim can be made the subject of an independent claim, a division application or a subsequent application. This applies equally to technical teachings described in the description, which may constitute an invention independent of the features of the independent patent claims.

According to one aspect, a method for using vehicle data of at least one vehicle is described. The vehicle data may have been sent from the vehicle to a device external to the vehicle. Vehicle data from a large number of different vehicles may have been provided (possibly in anonymized form).

The vehicle data can be various technical data, e.g. various operating parameters of various systems or subsystems of the respective vehicle. This can involve a relatively large amount of vehicle data (e.g. up to several megabytes per trip), each from a large number (e.g. several thousand, tens of thousands, hundreds of thousands, millions) of vehicles. These can be determined according to a plan or according to a need for data (e.g. for so-called data-driven development and/or for a product monitoring obligation). These do not have to be related to specific incidents, especially emergencies, or must be determined independently of them. In other words, it can be vehicle data that is collected (and possibly cached) anyway (e.g. using a vehicle data infrastructure).

The method includes receiving an emergency call sent from a user's user device. The user device is in particular a mobile and/or portable user device (e.g. independent of the vehicle or operable autonomously). The user device can be a smart device (e.g. a smartphone, tablet PC, etc.). Furthermore, the user device can be designed to be worn on the user's body (such as a smart watch or smart clothes) and/or to be at least partially connected to the user's body (e.g. to be at least partially integrated into the user's body). .

Only in exceptional cases can the user device be a device in the vehicle (possibly retrofitted, e.g. as part of a hardware and/or software update).

• • abhängig von einem oder mehreren nutzerspezifischen Kriterien ausgelöst wurde; und/oder
• • einen oder mehrere nutzerspezifische Inhalte (z.B. bestimmte Parameter) umfasst.

The emergency call may include data relating to physical data (e.g. the physical condition, in particular the physical condition and/or state of health of the user) and/or can be triggered (can be triggered) depending on the user's physical data. Alternatively or additionally, the emergency call may include data relating to the use of the user device. It is particularly preferably an emergency call, which:

• • was triggered depending on one or more user-specific criteria; and or
• • includes one or more user-specific content (e.g. certain parameters).

In particular, criteria for triggering the emergency and/or content to be transmitted with the emergency call (in particular in advance, before the emergency) can be set. For example, it can be adjustable (e.g. by the user or an authorized person) in which cases (e.g. specific to their personal state of health, lifestyle, psychological state) and/or with which content an emergency may and/or should be sent.

Alternatively or additionally, it can be adjustable (e.g. by the user or an authorized person) in which cases and/or to what extent receiving the emergency call may and/or should lead to the determination of the (corresponding) vehicle data. For example, the user can select in advance certain cases or emergencies (also to be understood as categories of cases) which may and/or should lead to the corresponding vehicle data being determined.

The method further includes determining, depending on the received emergency call, vehicle data of a vehicle in which the user device was, at least probably, located when or before the emergency call was sent.

Arranging the user device in the vehicle is to be understood as meaning that the user device was located in the interior of the vehicle (e.g. car, truck, van), was attached to the vehicle (e.g. motorcycle, scooter, moped), for example by means of a holding device or from which was worn (e.g. on the body) by the user of the vehicle (e.g. a scooter, electric board, etc.) at the time in question.

Determining vehicle data may in particular include determining, in particular selecting, vehicle data of the vehicle in which the user device was, at least probably, arranged when or before sending the emergency call, from a set of vehicle data from a large number of different vehicles.

The amount of vehicle data is in particular more than 10, 10 ² , 10 ³ , 10 ⁴ , 10 ⁵ , 10 ⁶ terabytes of vehicle data. The amount of vehicle data can at least partially include or be fleet data. For example, the amount of vehicle data can be the content of a data center (e.g. used for vehicle development and/or operation) or a so-called data lake.

The vehicle data can be determined from the set of vehicle data depending on the emergency call sent by the user device, in particular assigned to the emergency call and/or to the content of the emergency call and/or filtered out depending on the emergency call and/or the content of the emergency call. The criterion (e.g. one or more parameter value ranges and/or patterns or comparison patterns) according to which the vehicle data is determined can (also) be determined (e.g. selected or varied) and/or applied depending on the respective content of the emergency call.

For example, a criterion, a filter and/or a pattern for determining vehicle data (in a specific case) are determined and/or applied depending on the (specific) emergency call received by the user device. In particular, the search criterion or the search query for determining the vehicle data from the set of vehicle data can also be determined (also to be understood as: selected and/or configured) on a case-specific basis, in particular depending on the content of the emergency call or depending on data derived from it, and/or be applied.

• • Bewegungsdaten und/oder Beschleunigungsdaten des Fahrzeugs und des Anwendergeräts; und/oder
• • eine zeitliche Sequenz von Positionen des Fahrzeugs und des Anwendergeräts; und/oder
• • eine Position des Fahrzeugs und/oder einen Zeitpunkt des Notfalls.

In the method, the vehicle can be assigned to the emergency call depending on a comparison of data from the emergency call with data (in particular with vehicle data) of the vehicle. The data taken into account as part of the comparison can include:

• • Movement data and/or acceleration data of the vehicle and the user device; and or
• • a temporal sequence of positions of the vehicle and the user device; and or
• • a position of the vehicle and/or a time of the emergency.

• • einer Fahrzeug-ID, z.B. eine sogenannte VIN (=Vehicle Identification Number); oder:
• • einer VAN (=Vehicle Anonymised Number); oder (bevorzugt):
• • einem Zuordnungsschlüssel

zu den Daten aus dem bestimmten Fahrzeug. Beispielsweise können die Fahrzeugdaten (daraufhin) abhängig von dem ermittelten Zuordnungsschlüssel ermittelt werden.The association of the vehicle may include or be the association of:

• • a vehicle ID, eg a so-called VIN (=Vehicle Identification Number); or:
• • a VAN (=Vehicle Anonymized Number); or (preferred):
• • an assignment key

to the data from the specific vehicle. For example, the vehicle data can (then) be determined depending on the assignment key determined.

Vehicle data for the vehicle in which the user device was arranged before or when sending the emergency call can thus be identified in an efficient and reliable manner in order to provide an improved emergency call function.

• • odometrische Daten des Fahrzeugs;
• • ein oder mehrere Fahrerassistenzsysteme oder ein oder mehrere Funktionalitäten zum zumindest teilweise automatisierten Fahren des Fahrzeugs; und/oder
• • Daten basierend auf einem oder mehreren in einen Innenraum des Fahrzeugs gerichteten Sensoren (insbesondere Kameras=; und/oder
• • Daten basierend auf einem oder mehreren Umfeldsensoren des Fahrzeugs (z.B. ein oder mehrere Radarsensoren, Lidarsensoren, Kameras, Ultraschallsensoren, etc.).

The determined vehicle data of the vehicle can be characteristic for

• • odometric data of the vehicle;
• • one or more driver assistance systems or one or more functionalities for at least partially automated driving of the vehicle; and or
• • Data based on one or more sensors (in particular cameras=; and/or) directed into an interior of the vehicle
• • Data based on one or more environmental sensors of the vehicle (e.g. one or more radar sensors, lidar sensors, cameras, ultrasonic sensors, etc.).

Alternatively or additionally, the determined vehicle data of the vehicle in which the user device was, at least probably, located when or before the emergency call was sent, can be characteristic of what happened before, during and / or after the emergency, in particular for what happened before, during and /or after an emergency, especially a traffic accident.

Vehicle data can also include data that is determined depending on (e.g. based on) the vehicle data (e.g. on the filtered out vehicle data). For example, the vehicle data may be processed vehicle data (compared to the originally collected data).

(Vehicle) data can be provided that are characteristic of the emergency associated with the emergency call (also to be understood: corresponding to the emergency call and/or causing the emergency call).

It can be vehicle data that characterizes the emergency and/or circumstances of the emergency and/or a conclusion about (possible) causes of the emergency, e.g. describes, characterizes or represents this in particular qualitatively and/or quantitatively.

For example, it can be vehicle data that includes or allows a conclusion to be drawn about the parameters of the emergency, the cause and/or a consequence of the emergency. Providing such vehicle data is particularly advantageous for initiating at least one measure that is dependent on the vehicle data (concerning an emergency associated with the emergency call). A measure can be initiated that (also) does justice to the cause and/or consequence of the emergency.

The provision of such vehicle data to initiate at least one measure dependent on the vehicle data (concerning an emergency associated with the emergency call) can also be understood in such a way that the vehicle data (or data derived from the vehicle data) is used to operate an emergency system (e.g. a Emergency system in connection with vehicles or with a fleet of vehicles). For example, one or more improved emergency call functions (for the user of the vehicles) can be implemented or carried out.

In the method, vehicle data can (also) be provided for emergencies when using the vehicles, whereby the vehicles are not or not sufficiently trained to recognize emergencies, in particular by changes in the physical data of the users, to send emergency calls and/or to provide detailed vehicle data in the To be sent in the event of an emergency. Measures can also be initiated for emergencies such as: when traveling in a vehicle without an emergency call function, when traveling with a deactivated emergency call function, when traveling in a vehicle with an emergency call function that does not sufficiently take the user's physical condition into account, when traveling with a Vehicles that do not belong to the user or that are only used temporarily or not permanently by the user (e.g. taxis, rental vehicles, shared cars, public transport vehicles) pass.

In particular, due to the very rapid progress (compared to vehicle-related applications) of communication applications in (mobile) user devices on the one hand and through the collection of (general) vehicle data from the vehicle fleet on the other hand, appropriately tailored vehicle data relating to an emergency (associated with the emergency call) can be provided .

The method further includes providing the determined vehicle data to initiate at least one measure, which is dependent on the vehicle data, regarding the emergency associated with the emergency call (also to be understood as the cause).

The at least one measure can be determined and/or adapted depending on the content of the emergency call sent by the user device and/or depending on the determined vehicle data, in particular depending on the result of processing the emergency call with the determined vehicle data.

The at least one measure can relate to the specific vehicle and/or the specific user device. Alternatively or additionally, the at least one measure can relate to one or more additional vehicles and/or to one or more additional user devices.

• • eine Veränderung eines oder mehrerer Leistungsmerkmale des Fahrzeugs; und/oder
• • eine Parametrierung eines Aktivierungskriteriums, einer Logik und/oder einer Intensität eines oder mehrerer Leistungsmerkmale des Fahrzeugs; und/oder
• • eine Freigabe, eine Einschränkung und/oder eine Sperrung bestimmter Leistungsmerkmale des Fahrzeugs, insbesondere betreffend ein zumindest teilweise automatisiertes Fahren für ein oder mehrere bestimmte Straßenabschnitte; und/oder
• • eine Freigabe und/oder eine Sperrung von ein oder mehreren bestimmten Straßenabschnitten für eine Nutzung von ein oder mehreren bestimmten Leistungsmerkmalen des Fahrzeugs, insbesondere betreffend ein zumindest teilweise automatisiertes Fahren; und/oder
• • eine Weiterentwicklung und/oder ein Update des Fahrzeugs, insbesondere betreffend das zumindest teilweise automatisierte Fahren.

The at least one measure in relation to the vehicle can be or include

• • a change in one or more performance characteristics of the vehicle; and or
• • a parameterization of an activation criterion, a logic and/or an intensity of one or more performance features of the vehicle; and or
• • a release, a restriction and/or a blocking of certain performance features of the vehicle, in particular relating to at least partially automated driving for one or more specific road sections; and or
• • a release and/or a closure of one or more specific road sections for the use of one or more specific performance features of the vehicle, in particular relating to at least partially automated driving; and or
• • a further development and/or an update of the vehicle, in particular regarding at least partially automated driving.

A method is therefore described that makes it possible to identify vehicle data relating to an emergency call (possibly not triggered or sent by the vehicle but by the user device) in an efficient and reliable manner and to use it (for improved handling of emergencies).

A (particularly) appropriate measure can be identified (also to be understood: selected, configured, adapted). This can be done in such a way or with the aim of: achieving the purpose of the measure (e.g. at least with a certain probability and/or to a certain extent) and/or avoiding a false alarm or an unnecessary or excessive measure. For example, the method can be carried out or the system can be designed to determine the measure that achieves its purpose at least with a probability that exceeds a certain threshold (e.g. depending on the severity of the emergency at least > 90%, 95%, 98%, 99% , 99.9%) met, and/or to avoid an unnecessary or excessive measure.

The method can include unlocking and/or de-anonymizing at least one data section of the vehicle data depending on the emergency call received. This can be done, for example, according to conditions and/or configurations of the emergency call that have been stored in advance or selected by the user.

The method can include determining, depending on the emergency call sent by the user device, a conclusion about one or more consequences of the emergency, in particular the accident, for one or more users, in particular passengers, of the vehicle and/or on a (person-specific) Tolerability of the emergency for one or more users, in particular passengers, of the vehicle. In particular, a conclusion can be drawn regarding an impact on a user's organ; and/or a measure of likelihood of a particular breach by a user; and/or a measure of the severity of an injury to a user of the vehicle can be determined.

The at least one measure can then be determined in a particularly precise manner depending on the conclusion determined.

According to a further aspect, a device for using vehicle data of at least one vehicle is described. The device is set up to receive an emergency call sent by a user's user device (e.g. a smart device). The device is furthermore set up, depending on the received emergency call, to determine vehicle data of a vehicle in which the user device was, at least probably, arranged (in particular when or before the emergency call was sent). Furthermore, the device is set up to provide the determined vehicle data for initiating at least one measure, which is dependent on the vehicle data, relating to an emergency associated with the emergency call.

According to a further aspect, a (road) motor vehicle (in particular a passenger car or a truck or a bus or a two-wheeler, e.g. motorcycle, scooter) is described, which is designed to operate as part of the system described in this document (e.g. includes a corresponding device).

According to a further aspect, a computer program, in particular a computer program product comprising a computer program, is described, wherein the computer program is designed to carry out at least one of the methods described in this document when it is executed on at least one computing unit. There can be several computer programs or a computer program product comprising several computer programs, which can be run, for example, on different computing units of the device or on several devices in order to carry out (if necessary together, in an information technology connection) at least one of the methods described in this document.

The computer program product can be designed as an update of a previous computer program, which includes the parts of the computer program or the corresponding program code, for example as part of a functional expansion, for example as part of a so-called “remote software update”. The computer program product includes in particular a medium readable by the data processing device, on which the program code is stored, or at least an encrypted file.

It should be noted that the methods, devices and systems described in this document can be used both alone and in combination with other methods, devices and systems described in this document. Furthermore, any aspects of the methods, devices and systems described in this document can be combined with one another in a variety of ways. In particular, the features of the claims can be combined with one another in a variety of ways. Furthermore, features listed in brackets are to be understood as optional features.

In the following, the invention is described in more detail using exemplary embodiments without restricting the generality. The features described in the exemplary embodiments can be freely combined with the other features described in the present document.

• 1 ein beispielhaftes System zur Ermittlung von Fahrzeugdaten;
• 2 ein beispielhaftes System zur Nutzung von Fahrzeugdaten in Zusammenhang mit einer Notruf-Funktion; und
• 3 ein Ablaufdiagramm eines beispielhaften Verfahrens zur Ermittlung und/oder Nutzung von Fahrzeugdaten in Zusammenhang mit einem Notruf.

Show it

• 1 an exemplary system for determining vehicle data;
• 2 an exemplary system for using vehicle data in connection with an emergency call function; and
• 3 a flowchart of an exemplary method for determining and/or using vehicle data in connection with an emergency call.

As stated at the beginning, this document deals with the extended use of vehicle data in connection with an emergency call. The emergency call is or preferably does not include the emergency call of the vehicle, but rather an emergency call sent or received by the user's user device. An (appropriate) measure can also be initiated for emergencies that do not necessarily correspond to a vehicle emergency or accident. It is also possible to prevent unnecessary or excessive measures from being taken. In particular, the comfort and/or well-being and/or safety of a user of the vehicle can be increased.

By using this vehicle data (this also includes data based on the vehicle data determined) the objective and/or subjective safety of the occupant of a vehicle or the (participating) vehicles can be increased. In particular, a person-specific, emergency-specific and/or vehicle-specific (particularly precisely tailored) measure can be determined and/or initiated.

1 shows a system with one or more vehicles 100, each of which is designed to send vehicle data 101 to a vehicle-external device 110. 2 illustrates that one or more user devices 201, 202 from one or more different users of a vehicle 100 can each send an emergency call 211, 212 to the vehicle-external device 110. The vehicle-external device 110 can be set up to associate an emergency call 211, 212 sent by a user device 211, 212 with vehicle data 101 of a vehicle 100.

In the case of an emergency call 211, 212 from a user device 201, 202 (e.g. from a smartphone), preferably from a user device 201, 202 that can be worn on a user's body, such as a smart watch or smart clothes, vehicle data 101 of a vehicle 100 , in which the user of the user device 201, 202 was driving (at least presumably, at least with an increased probability) at the time of the emergency. The vehicle data 101 may include, be, or be calculated based on data collected (per se, primarily) fleet data for the purpose of development, product improvement, and/or product monitoring. Such data usually has nothing to do with an emergency. It can be vehicle data 101 that has already been collected and is located in the backend 110.

The appropriate data sections can be assigned to the emergency call 211, 212 from a user device 201, 202, for example by means of pattern recognition. In other words, the appropriate vehicle data 101 for an emergency call 211, 212 can be determined from a typically very large amount of vehicle data 101 (from a large number of different vehicles 100) according to one or more criteria (predetermined, described in the present document). “Determined” also means “filtered out” and/or “assigned”.

The type of data (e.g. characterizing different processes in the vehicle 100 and/or in the environment) and/or the quantity, in particular level of detail, of the driving can (also) be used Vehicle data 101 can be adapted depending on the emergency call received from the user device 201, 202 (eg case-specific, user-specific, vehicle-specific).

Preferably, the determined, in particular assigned, vehicle data 101 can be processed together with the data from the emergency call 211, 212 from the user device 201, 202 (which was triggered, for example, according to criteria of the physical condition of the user and/or which includes data on the physical condition). become.

The vehicle data 101 may include or be data relating to the chassis, relating to a driver assistance system of the vehicle 100 and/or relating to a functionality for at least partially automated driving. The vehicle data 101 may identify technical conditions and/or processes related to the vehicle 100 and/or the environment.

The vehicle data 101 can be characteristic of what happened before the accident and/or of one or more causes of the accident and/or of an accident.

Thereupon, in particular depending on the vehicle data 101 determined, one or more measures relating to the vehicle fleet (e.g. also one or more other vehicles 100) and/or relating to the specific emergency can be determined or adapted. In particular, a technical reason for the accident or vehicle-related factors (e.g. the role of one or more systems or functionalities of the vehicle 100) can be determined and/or measures can be taken in relation to (also) other vehicles 100 and/or other users of the user devices 201, 202 (who are also, at least with a certain probability, users of the vehicle 100). For example, a release, restriction and/or blocking of functions and/or a so-called route release for the vehicle fleet, in particular regarding at least partially automated driving, can take place.

Alternatively or additionally, the probability of different consequences of the accident for the user can be estimated very quickly (after seconds, before the vehicle 100 from which the emergency call 211, 212 was made) is found, and/or suitable rescue measures ( e.g. required equipment for the ambulance).

3 shows a flowchart of a (possibly computer-implemented) method 300 for using vehicle data 101 of at least one (motor) vehicle 100. The method 300 includes receiving 301 an emergency call 211, 212 sent by a user device 201, 202 of a user the user device 201, 202 is preferably designed to be worn on the user's body (such as a smart watch or smart clothes) or to be at least partially integrated into the user's body).

The method 300 further includes determining 302, depending on the received emergency call 211, 212, vehicle data 101 of a (specific) vehicle 100 in which the user device 201, 202 is, at least probably, arranged when or before sending the emergency call 211, 212 was (e.g. was carried in this). Vehicle data 101 relevant to the specific vehicle 100 can be filtered out from a set of vehicle data 101 for a large number of different vehicles 100 (based on emergency calls 211, 212).

Furthermore, the method 300 includes providing 303 the determined vehicle data 101 to initiate 304 at least one measure dependent on the vehicle data 101 relating to an emergency associated with the emergency call 211, 212.

In this way, vehicle data 101 can be identified and used in an efficient manner to increase the quality of the response to an emergency call 211, 212.

A method 300 for using vehicle data 101 is thus described. The method 300 may include receiving 301 an emergency call 211, 212 sent by a user device 201, 202. Furthermore, the method 300 can include determining 302 vehicle data 101 of the vehicle 100 in which the user of the user device 201, 202 has at least probably been driving, depending on the emergency call 211, 212 sent by the user device 201, 202. Furthermore, the method can 300 include providing 303 the determined vehicle data 101 to initiate 304 a measure regarding the emergency associated with the emergency call 211, 212, depending on the determined vehicle data 101.

The user device 201, 202 is preferably a mobile user device or one that can be worn on the user's body, for example a smart watch, smart clothes and/or data glasses.

The determination 302 of the vehicle data 101 can include or be, for example, an assignment of the (e.g. relevant and/or appropriate) vehicle data 101. The determination of the vehicle data 101 can depend on the content, in particular the useful content or the payload, of the emergency call 211 sent by the user device 201, 202. 212, and/or depending on the time of transmission and/or reception by a part of the mobile communications infrastructure (e.g. one or more mobile phone towers, etc.). The emergency or the reason for the emergency call can include a traffic accident or be a traffic accident.

It is not necessary to know the vehicle 100. In particular, the vehicle 100 does not have to be assigned and/or the information from the vehicle 100 does not have to be transmitted. However, this can be provided optionally. The vehicle 100 typically cannot send automatic emergency calls or emergency messages itself (at least for several functionalities described in this document) or does not have to be trained for this.

Alternatively or additionally, the assignment of the vehicle data 101 can (also) be carried out by means of an automatic emergency call 211, 212 of the vehicle 100. The user device 201, 202 can be a device of the vehicle 100 (originally intended, subsequently installed and/or retrofitted as part of a function update).

For example, the emergency call 211, 212 sent by a user's user device 201, 202 can also be an emergency call 211, 212 initiated depending on data from the user device 201, 202 (but possibly physically sent using means of the vehicle 100).

The vehicle data 101 can include or be data stored before and/or at approximately the same time as the emergency call 211, 212 of the user device 201, 202. This may involve data that was determined and transmitted according to various criteria (e.g. wholly or predominantly independent of a possible emergency).

The vehicle data 101 can be data that has been collected and/or transmitted via a vehicle data infrastructure and/or via a data transmission link that differs from the emergency call infrastructure and/or emergency call transmission link for transmitting the emergency call 211, 212. The vehicle data 101 can be contents and/or amounts of data that differ significantly from the contents and/or amounts of a specific emergency call 211, 212 (e.g. for user devices 201, 202) or from emergency calls in general. For example, the data volume of the vehicle data 101 can exceed a (specific or typical) data volume of the emergency call 211, 212 by a factor of 5, 10, 20, 50, 100, 1000.

In addition, vehicle data 101 can identify content that is not, not sufficiently or not always known in a user device 201, 202.

As an exception, the emergency call 211, 212 received by the user device 201, 202 can be a vehicle emergency call (from the vehicle 100). This can be an emergency call 211, 212 transmitted at least via an emergency call infrastructure (typically intended for emergencies) and/or via an emergency call transmission link.

As part of the method, vehicle data 101 can (in effect) be determined and used, which in terms of data volume exceeds a data volume typical for emergency calls 211, 212 or the data volume of the specific emergency call 211, 212 by a factor of 5, 10, 20, 50, 100 or exceeds more. It may be a volume of data that would not be appropriately transferable through the emergency call infrastructure and/or emergency call transmission route for vehicles (which is typically tied to tough standards applicable to vehicle technology and is sometimes outdated).

Particularly preferably, the emergency call 211, 212 is sent depending on the user device 201, 202 or depending on the use of a wearable user device 201, 202, for example a smart watch or smart clothes. The emergency call 211, 212 may (thus) have been triggered according to one or more criteria of the physical condition of the user and/or data characterizing the physical condition of the user (e.g. include, explicitly or implicitly represent).

Providing the determined vehicle data 101 to initiate an action regarding the emergency depending on the determined vehicle data 101 may include or be: determining or adjusting the action; and/or initiating the measure.

The measure can be determined, adjusted or initiated partially or completely automatically and/or partially or entirely by a person (e.g. dispatcher). What is particularly crucial is that the measure described in this document (e.g. ultimately) is determined or initiated taking into account the vehicle data determined.

Initiating the measure can include or be an at least partial waiver of the measure (e.g. an at least partial all-clear), an adjustment and/or a restriction of a measure (e.g. otherwise due or to be carried out in the event of an emergency call 211, 212). For example, a relevant part of unnecessary and/or excessive measures can be prevented.

The vehicle data 101 from the data of a fleet of vehicles 100 can be determined depending on the emergency call 211, 212 sent by the user device 201, 202, in particular assigned to the emergency call 211, 212 or content of the emergency call and/or filtered out depending on this.

The vehicle data 101 can be a selection and/or further processing of the data that is collected by the vehicle fleet, in particular for the purpose of further developing the vehicles 100, for fleet operation and/or to fulfill the legal product monitoring obligation. The vehicle data 101 can be determined depending on the emergency call 211, 212, on position information and/or on the content of the emergency call 211, 212, in particular characterizing the physical condition of the user.

For example, the amount (e.g. amount of information) of the determined, in particular assigned, vehicle data 101 can be less than 0.01%; 0.1%; 1%; 3% of the collected fleet data.

The vehicle data 101 can preferably be determined by means of a, in particular multi-dimensional, pattern recognition (e.g. depending on a matching result) with the emergency call 211, 212 sent by the user device 201, 202. Alternatively or additionally, the vehicle data 101 can be determined depending on the existence of a predetermined condition in relation to the correlation of various parameters of the emergency call 211, 212 with various parameters of the vehicle data 101, in particular functions related to time and/or position.

• • odometrische Daten eines Fahrzeugs 100; und/oder
• • ein oder mehrere Fahrerassistenzsysteme oder Funktionalitäten zum zumindest teilweise automatisierten Fahren; und/oder
• • Daten auf Basis eines oder mehrerer in den Innenraum des Fahrzeugs 100 gerichteter Kameras; und/oder
• • Daten auf Basis eines oder mehrerer Umfeldsensoren des Fahrzeugs 100.

The data 101 of a vehicle fleet can be characteristic of:

• • odometric data of a vehicle 100; and or
• • one or more driver assistance systems or functionalities for at least partially automated driving; and or
• • Data based on one or more cameras directed into the interior of the vehicle 100; and or
• • Data based on one or more environmental sensors of the vehicle 100.

Furthermore, the vehicle fleet data can be characteristic of one or more active safety and/or passive safety systems.

For example, vehicle data 101 can be or include image data that characterize, in particular represent or depict.

As part of the method 300, depending on the emergency call 211, 212 sent by the user device 201, 202, one or more data sections of the vehicle data 101 can be unlocked and/or de-anonymized.

The vehicle fleet data 101 is usually determined and/or processed anonymously. As described in this document, this data 101 can be assigned and/or unlocked (selectively, in particular with regard to the data sections assigned according to certain criteria) if there is an emergency call 211, 212 (correlating to the data 101) from a user device 201, 202.

The unlocking of the vehicle data 101 and/or the cancellation of the anonymization preferably takes place in a predetermined dependency on the content of the emergency call 211, 212. For example, if the emergency call 211, 212 can draw a conclusion about a critical (e.g. physical and/or psychological) condition of the user, it can be assumed that general data protection plays a subordinate role for the user.

Different criteria for unlocking and/or revoking anonymization may apply for different uses, in particular for different measures. The removal of anonymization can take place as a (re)assignment of the vehicle data to a vehicle (e.g. vehicle 100 with a specific VIN, VAN, vehicle type, etc.). This can be done using an assignment key (e.g. intended for this purpose).

For example, it can be a case of de-anonymization aimed only or predominantly at the relevant vehicle data. This can, for example, be applied (only and/or at least primarily, specifically, so to speak) to a very small part of the amount of vehicle data. This means that the personal rights of people or users not affected by the emergency can remain unaffected or continue to be well protected. Furthermore, the required computing resources can be significantly reduced and/or the execution of the method can be significantly accelerated.

The determined, in particular assigned, vehicle data 101 can be representative of what happened before, during and/or after the emergency, in particular a traffic accident, associated with the emergency call 211, 212.

For example, this determined data 101 can (in turn) be used for a data-based assessment that enables a conclusion to be drawn about the course of the accident. In particular, these data can also characterize a temporal sequence, e.g. a time course, of the data.

In particular, the sequence and/or the time course of determined first data 101 of the vehicle 100 can be processed together with the sequence and/or a time course of second data from a wearable user device 201, 202. For example, certain patterns can be recognized that allow a (better, more precise) conclusion to be drawn about what happened and/or the consequences of the accident.

• • Bewegungsdaten und/oder Beschleunigungsdaten des Fahrzeugs 101 und des Anwendergeräts 201, 202; und/oder
• • einer Sequenz von Positionen und/oder von Zeitpunkten des Fahrzeugs 100 und des Anwendergeräts 201, 202; und/oder
• • einer Position des Fahrzeugs 100 und/oder einem Zeitpunkt des Unfalls, der mit dem Notruf 211, 212 assoziiert ist.

The assignment of the vehicle 100 can take place depending on a comparison of the data of the emergency call 211, 212 with the data of the vehicle 100. This can be done based on

• • Movement data and/or acceleration data of the vehicle 101 and the user device 201, 202; and or
• • a sequence of positions and/or times of the vehicle 100 and the user device 201, 202; and or
• • a position of the vehicle 100 and/or a time of the accident associated with the emergency call 211, 212.

In particular, the movement data and/or acceleration data are or include a pattern that can be recognized in this data (e.g. by means of pattern recognition). This form of association can also be used if the user device 201, 202 and the vehicle 100 were not coupled to one another (in particular “paired”) and/or data exchange between the user device 201, 202 and the vehicle 100 was undesirable for other applications , or if the user drove in a shared car, taxi, etc. as a vehicle 100.

Alternatively or additionally, the data can be assigned to one another, depending on the pairing (i.e. the coupling) of the wearable user device 201, 202 and the vehicle 100.

The at least one measure can relate to: one or more additional vehicles 100 and/or one or more (possibly additional) user devices 201, 202. For example, the measure can relate to one or more additional vehicles 100 from the vehicle fleet. From the vehicle data 101 determined, conclusions can be drawn that (also) relate to other vehicles 100. The at least one measure can include or be a fleet management measure.

Several (different) measures can be initiated regarding the specific vehicle 100, the specific user and/or one or more other vehicles 100 and/or users.

Alternatively or additionally, at least one measure can relate to other user devices 201, 202, for example user devices 201, 202 of other users who are also users of the vehicles 100. For example, user information can be output to this (also to be understood via this) regarding the vehicle 100, regarding certain performance features of the vehicle 100 (e.g. regarding driver assistance systems, functionalities regarding at least partially automated driving), and / or regarding certain road sections (e.g. certain Road sections that were or are being driven on with certain driver assistance systems).

• • eine Veränderung eines oder mehrerer Leistungsmerkmale des Fahrzeugs 100; und/oder
• • eine Parametrierung der Aktivierungskriterien, der Logik und/oder der Intensität eines oder mehrerer Leistungsmerkmale des Fahrzeugs 100; und/oder
• • eine Freigabe, Einschränkung und/oder Sperrung bestimmter Leistungsmerkmale des Fahrzeugs 100, insbesondere betreffend ein zumindest teilweise automatisiertes Fahren für bestimmte Straßenabschnitte; und/oder
• • eine Freigabe und/oder Sperrung bestimmter Straßenabschnitte für die Nutzung bestimmter Leistungsmerkmale des Fahrzeugs 100, insbesondere betreffend ein zumindest teilweise automatisiertes Fahren; und/oder
• • eine Weiterentwicklung und/oder ein Update von ein oder mehreren Fahrzeugen 100, insbesondere betreffend das zumindest teilweise automatisierte Fahren.

The measure may be or include:

• • a change in one or more performance characteristics of the vehicle 100; and or
• • a parameterization of the activation criteria, the logic and/or the intensity of one or more performance features of the vehicle 100; and or
• • a release, restriction and/or blocking of certain performance features of the vehicle 100, in particular relating to at least partially automated driving for certain road sections; and or
• • a release and/or blocking of certain road sections for the use of certain performance features of the vehicle 100, in particular relating to at least partially automated driving; and or
• • a further development and/or an update of one or more vehicles 100, in particular regarding at least partially automated driving.

These can be performance features (individual features or feature groups) in relation to one or more driver assistance systems, active and/or passive safety systems, and/or at least partially automated driving. For example, the one or more dimensions various aspects of (so-called) fleet management and/or the subsequent update of the vehicles 100 include.

The measure can be determined or adapted depending on the content of the emergency call 211, 212 sent by the user device 201, 202 and/or depending on the determined vehicle data 101, in particular on the result of processing the emergency call 211, 212 with the vehicle data 101.

• • eine Einwirkung auf ein bestimmtes Organ des Nutzers; und/oder
• • ein Wahrscheinlichkeitsmaß für eine bestimmte Verletzung des Nutzers; und/oder
• • ein Maß der Schwere einer, insbesondere einer bestimmten, Verletzung des Insassen des Fahrzeugs 100.

Depending on the emergency call 211, 212 sent by the user device 201, 202, a conclusion can be drawn about one or more consequences of an accident for one or more specific occupants of the vehicle 100 and/or on the tolerability of the accident for one or more specific occupants of the vehicle 100. especially in relation to

• • an impact on a specific organ of the user; and or
• • a measure of the probability of a specific violation of the user; and or
• • a measure of the severity of an injury, particularly a specific one, to the occupant of the vehicle 100.

Emergency call data can preferably be processed together with the vehicle data.

The term “processing” can in particular be understood as a comparison of the emergency call data (or data derived from the emergency call data) and the vehicle data (or data derived from the vehicle data). The term “processing” and in particular the term “alignment” can mean the application of (any) predetermined logic, function, algorithm, e.g. an application of a predetermined mathematical context (e.g. logic, function, parameters, characteristics, coefficients of a predetermined formula) to the emergency call data and/or the vehicle data. For example, the processing of the emergency call data and the vehicle data may include determining a correlation and/or a first pattern in the emergency call data, a second pattern in the vehicle data, a comparison of the patterns, and the like.

The processing may include recognition of a (possibly specific) pattern in the emergency call data and/or a (possibly specific) pattern between the emergency call data and the vehicle data.

In particular, processing is to be understood in such a way that at least one processing step is applied to both the emergency call data and the vehicle data. In particular, the emergency call data and the vehicle data are processed (not or not only at the same time, but also) with each other and/or one another.

• • Fahrzeugdaten kennzeichnend eine Einwirkung auf die Fahrgastzelle, eine Beschleunigung während eines Ereignisses (z.B. eines Unfalls), eine Auslösung eines oder mehrerer dem Fachmann bekannter Systeme aktiver Sicherheit und/oder Systeme aktiver Sicherheit;

mit den:

• • Daten des Notrufs aus dem Anwendergerät kennzeichnend körperliche Daten, Vorerkrankungen und/oder den Zustand des Insassen des Fahrzeugs 100;

eine verbesserte (z.B. präzisere und/oder sicherere) Information über die Folgen, die Risiken des Unfalls und/oder die erforderlichen Maßnahmen, insbesondere Rettungsmaßnahmen, ermittelt werden.For example, from processing:

• • Vehicle data characterizing an impact on the passenger cell, an acceleration during an event (e.g. an accident), a triggering of one or more active safety systems known to those skilled in the art and/or active safety systems;

with the:

• • Emergency call data from the user device identifying physical data, previous illnesses and/or the condition of the occupant of the vehicle 100;

Improved (e.g. more precise and/or safer) information about the consequences, the risks of the accident and/or the necessary measures, in particular rescue measures, can be determined.

The data from the emergency call particularly preferably characterize a change in the physical data, in particular at the time of the event (e.g. the accident compared to a previous time interval). These can (e.g. with or without absolute values) indicate a degree of change (e.g. a factor, difference, etc.) in relation to one or more physical parameters (e.g. pulse, blood pressure, ECG values).

The data from the user device that can be worn on the user's body can include data (e.g. on the physical condition of the user) before the event and/or data (e.g. on the physical condition of the user) during the event and/or data (e.g. on the physical condition of the user). after the event. This means that the consequences of the event can be determined much better by processing the data.

In particular, the change in the data can be evaluated, for example, within a time interval of approximately 30 seconds before the event, during the event and/or approximately 10, 30, 60, 120 seconds or longer after the event and the result of the evaluation can be taken into account .

In this case, individual, subjective, person-specific and/or case-specific risks and/or consequences of the event, for example the accident, for one or more occupants (which can differ greatly) can advantageously be determined and taken into account. The result of the trial beitens can be used for one or more measures adapted or tailored to the specific event and/or specific people.

Furthermore, a device 110, in particular in a backend, is described in this document. The device 110 can be designed to receive an emergency call 211, 212 sent by a user device 201, 202. The device 110 can also be set up to then determine vehicle data 101 of the vehicle 100 in which the user of the user device 201, 202 has at least probably been driving. This can be done depending on the emergency call 211, 212 sent by the user device 201, 202. The device 110 can also be set up to then initiate a measure regarding the emergency associated with the emergency call 211, 212 depending on the vehicle data 101 determined.

Furthermore, a computer program is described in this document, wherein the computer program is designed to carry out one or more steps of the method 300 described in this document.

Through the measures described in this document, a relatively extensive amount of data can be made available for processing an emergency call 211, 212 in an efficient and reliable manner. This makes it possible to take relatively quick measures across vehicle fleets, e.g. to switch off or restrict potentially dangerous functions and/or road network sections. Furthermore, handling of special situations can be made possible, e.g. if an (intrinsically perfect) functionality (only or almost only) behaves in an undesirable way on a special section of the road. As part of a measure, it can be ensured that other vehicles 100 are spared from the incorrect behavior of the functionality.

The measures described in this document enable an improved conclusion to be drawn about the accident, its causes, risks and consequences, in particular through detailed odometric data of the vehicle 100. Furthermore, it is also possible to make an emergency call to 211, 212 even in vehicles 100 without an emergency call to effect.

Personal or personally identifiable data is not evaluated for all vehicle users, but is only used in an emergency. Furthermore, an advantageous aggregation of information from a wearable device 201, 202 and a vehicle 100 is made possible.

The present invention is not limited to the exemplary embodiments shown. In particular, it should be noted that the description and the figures are only intended to illustrate the principle of the proposed methods, devices and systems by way of example.

Claims (15)

Method (300) for using vehicle data (101) of at least one vehicle (100); wherein the method (300) comprises, - Receiving (301) an emergency call (211, 212) sent by a user device (201, 202); - Determining (302), depending on the received emergency call (211, 212), vehicle data (101) of a vehicle (100) in which the user device (201, 202), at least probably, when or before sending the emergency call (211 , 212) was arranged; and - Providing (303) the determined vehicle data (101) to initiate (304) at least one measure, which is dependent on the vehicle data (101), relating to an emergency associated with the emergency call (211, 212). Procedure (300) according to Claim 1 , wherein determining (302) vehicle data (101) includes determining, in particular selecting, vehicle data (101) of the vehicle (100) in which the user device (201, 202), at least probably, during or before sending the emergency call ( 211, 212) was arranged, from a set of vehicle data (101) from a large number of different vehicles (100). Procedure (300) according to Claim 2 , wherein the vehicle data (101) is determined from the set of vehicle data (101) depending on the emergency call (211, 212) sent by the user device (211, 212), in particular on the emergency call (211, 212) and / or on a content of the emergency call (211, 212) and/or filtered out depending on the emergency call (211, 212) and/or the content of the emergency call (212, 212). Procedure (300) according to Claim 2 or 3 , wherein - the vehicle (100) is assigned to the emergency call (211, 212) depending on a comparison of data from the emergency call (211, 212) with data from the vehicle (100); and - the data in particular includes - movement data and/or acceleration data of the vehicle (100) and the user device (201, 202); and/or - a temporal sequence of positions of the vehicle (100) and the user device (201, 202); and or - a position of the vehicle (100) and/or a time of the emergency. Method (300) according to one of the preceding claims, wherein a criterion, a filter and / or a pattern for determining (302) vehicle data (101), in particular for determining (302) vehicle data (101) from a set of vehicle data (101), depending on the received emergency call (211, 212), is determined and / or applied. Method (300) according to one of the preceding claims, wherein the vehicle data (101) of a vehicle (100) is characteristic of - odometric data of the vehicle (100); - one or more driver assistance systems or one or more functionalities for at least partially automated driving of the vehicle (100); and or - Data based on one or more sensors directed into an interior of the vehicle (100); and or - Data based on one or more environmental sensors of the vehicle (100). Method (300) according to one of the preceding claims, wherein the determined vehicle data (101) of the vehicle (100) in which the user device (201, 202) was at least probably arranged when or before the emergency call (211, 212) was sent, are characteristic of an event before, during and/or after the emergency, in particular for an event before, during and/or after a traffic accident. Method (300) according to one of the preceding claims, wherein the method (300) comprises unlocking and/or de-anonymizing at least one data section of the vehicle data (101) depending on the received emergency call (211, 212). Method (300) according to one of the preceding claims, wherein the at least one measure relates to - one or more additional vehicles (100); and or - one or more additional user devices (201, 202). Method (300) according to one of the preceding claims, wherein the at least one measure in relation to a vehicle (100) is or comprises, - a change in one or more performance characteristics of the vehicle (100); and or - a parameterization of an activation criterion, a logic and/or an intensity of one or more performance features of the vehicle (100); and or - a release, a restriction and/or a blocking of certain performance features of the vehicle (100), in particular relating to at least partially automated driving for one or more specific road sections; and or - a release and/or a blocking of one or more specific road sections for the use of one or more specific performance features of the vehicle (100), in particular relating to at least partially automated driving; and or - a further development and/or an update of the vehicle (100), in particular regarding at least partially automated driving. Method (300) according to one of the preceding claims, wherein the at least one measure depends on a content of the emergency call (211, 212) sent by the user device (201, 202) and / or depending on the determined vehicle data (101), in particular depending on a result of processing the emergency call (211, 212) with the determined vehicle data (101), is determined and / or adjusted. Method (300) according to one of the preceding claims, wherein the method (300) comprises determining, depending on the emergency call (211, 212) sent by the user device (201, 202), a conclusion about one or more consequences of the emergency, in particular the accident, in the case of one or more users, in particular passengers, of the vehicle (100) and/or the compatibility of the emergency for one or more users, in particular passengers, of the vehicle (100), in particular with regard to: - an impact on a user's organ; and or - a measure of the probability of a specific breach by a user; and or - a measure of the severity of an injury to a user of the vehicle (100). Procedure (300) according to Claim 12 , wherein the method (300) comprises determining the at least one measure depending on the determined conclusion. Device (110) for using vehicle data (101) of at least one vehicle (100); wherein the device (110) is set up to - receive an emergency call (211, 212) sent by a user device (201, 202); - Depending on the received emergency call (211, 212), vehicle data (101) of a vehicle (100) in which the user device (201, 202), at least probably, was arranged when or before the emergency call (211, 212) was sent determine; and - to provide the determined vehicle data (101) to initiate at least one measure, which is dependent on the vehicle data (101), relating to an emergency associated with the emergency call (211, 212). Computer program, in particular a computer program product comprising a computer program, wherein the computer program is designed, when executed on at least one computing unit, according to the device (101). Claim 13 to operate and/or one or more steps of a method (300) according to one of Claims 1 until 13 to carry out.

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