DE102017208462A1 - Method and device for determining operating data for an automated vehicle - Google Patents

Abstract

A method of determining operating data for an automated vehicle (100a ... 100n), comprising the steps of: - determining a state of a computing device (10a ... 10n) to determine the operational data during operation of the automated vehicle (100a ... 100n - evaluating the determined state of the computing device (10a ... 10n) according to at least one defined criterion (A, B, C); and- Defined offloading of the determination of the operating data into a computer device (220; 10a ... 10n) arranged externally of the vehicle as a function of the evaluated state of the computer device (10a ... 10n); and - transmitting the operating data from the computing device (220; 10a ... 10n) located externally of the vehicle (100a ... 100n) to the vehicle (100a ... 100n).

Description

The invention relates to a method for determining operating data for an automated vehicle. The invention further relates to a device for determining operating data for an automated vehicle. The invention further relates to a computer program product.

State of the art

An automated or autonomous vehicle is a vehicle that manages without a driver. The vehicle drives autonomously, for example, automatically recognizing a road course, other road users or obstacles and calculating corresponding control commands in the vehicle and forwards them to actuators in the vehicle, whereby the driving course of the vehicle is correctly influenced. The driver is no longer involved in a fully autonomous vehicle on the ride.

Currently available vehicles are not yet able to operate autonomously. For one, because the technology is not fully developed yet. On the other hand, because it is still legally required today that the driver at any time must be able to intervene even in the action. This complicates the implementation of autonomous vehicles. However, it is foreseeable that fully autonomous vehicle systems will be launched in a few years once these barriers have been removed.

Known are driver assistance systems that implement additional electronic devices in motor vehicles to assist the driver in certain driving situations. Often safety aspects, but also an increase in driving comfort are in the foreground. Another aspect is the improvement of a driving economy. Driver assistance systems partially or autonomously intervene in drive, control (e.g., throttle, brake, etc.) or signaling devices of the vehicle, or alert the driver just before or during critical situations through appropriate man-machine interfaces. Currently, most driver assistance systems are designed so that the responsibility remains with the driver and this is not released from the responsibility.

• - Ultraschall (z.B. für Einparkhilfe)
• - Radar (z.B. für Spurwechselassistent, automatischer Abstandswarner)
• - Lidar (z.B. für Totwinkel-Überwachung, automatischer Abstandswarner, Abstandsregelung, Pre-Crash und Pre-Brake)
• - Kamera (z.B. für Spurverlassenswarnung, Verkehrszeichenerkennung, Spurwechselassistent, Totwinkelüberwachung, Notbremssystem zum Fußgängerschutz)

For driver assistance systems, various types of environment sensors are used, including, for example:

• - ultrasound (eg for parking aid)
• - Radar (eg for lane change assistant, automatic distance warning)
• - Lidar (eg for blind spot monitoring, automatic distance warning, distance control, pre-crash and pre-brake)
• - Camera (eg for lane departure warning, traffic sign recognition, lane change assistant, blind spot monitoring, emergency braking system for pedestrian protection)

A car-to-car communication (Car2Car or C2C) means the exchange of information and data between motor vehicles. The aim of this data exchange is to inform the driver at an early stage of critical and dangerous situations. The vehicles in question collect data, such as ABS interventions, steering angle, position, direction and speed and send this data via radio (for example via WLAN, UMTS, etc.) to other road users. The aim is to increase the "sight of the driver" by electronic means. Car-to-infrastructure (C2l) is understood to mean the exchange of data between a vehicle and the surrounding infrastructure (for example traffic lights).

The technologies mentioned are based on the interaction of sensors of different traffic partners and use the latest methods of communication technology to exchange this information. For this purpose, it is envisaged that autonomous or semi-autonomous vehicles will exchange data with each other in future using car-to-car communication systems.

DE 102 10 546 A1 discloses a method for automatic vehicle guidance in which infrastructure data is transmitted wirelessly to the vehicle and commands for the vehicle guidance are calculated on the basis of the infrastructure data. It is provided that the infrastructure data for at least one immediately preceding section of the route are loaded into an onboard memory, that with a precise positioning system continuously the current position of the vehicle is determined and that the commands are calculated based on the position data and the stored infrastructure data.

Disclosure of the invention

An object of the invention is to provide an improved method for determining operating data for an automated vehicle.

• - Ermitteln eines Zustands einer Rechnervorrichtung zum Ermitteln der Betriebsdaten während eines Betreibens des automatisierten Fahrzeugs;
• - Bewerten des ermittelten Zustands der Rechnervorrichtung nach wenigstens einem definierten Kriterium;
• - Definiertes Auslagern des Ermittelns der Betriebsdaten in eine extern vom Fahrzeug angeordnete Rechnervorrichtung in Abhängigkeit vom bewerteten Zustand der Rechnervorrichtung; und
• - Übertragen der Betriebsdaten von der extern vom Fahrzeug angeordneten Rechnervorrichtung an das Fahrzeug.

The object is achieved according to a first aspect with a method for determining operating data for an automated vehicle, comprising the steps:

• - Determining a state of a computing device to determine the operational data during operation of the automated vehicle;
• - Evaluating the determined state of the computing device according to at least one defined criterion;
• - Defined outsourcing of determining the operating data in a remote from the vehicle computing device depending on the evaluated state of the computing device; and
• - Transferring the operating data from the externally arranged from the vehicle computing device to the vehicle.

• - eine Bewertungseinrichtung, die ausgebildet ist, einen Zustand der Rechnervorrichtung zu erkennen und nach wenigstens einem definierten Kriterium zu bewerten; wobei
• - die Bewertungseinrichtung ausgebildet ist, im Falle eines Erfüllens des wenigstens einen Kriteriums die Berechnungen der Rechnervorrichtung über eine Kommunikationsschnittstelle auf eine extern vom Fahrzeug angeordnete Rechnervorrichtung auszulagern; und wobei
• - die von der extern vom Fahrzeug angeordnete Rechnervorrichtung ermittelten Rechenergebnisse an das Fahrzeug übermittelbar sind.

According to a second aspect, the object is achieved with a device for determining operating data for an automated vehicle, comprising:

• an evaluation device which is designed to recognize a state of the computer device and to evaluate it according to at least one defined criterion; in which
• - The evaluation device is designed to outsource, in the case of fulfilling the at least one criterion, the calculations of the computing device via a communication interface to an externally arranged from the vehicle computing device; and where
• - The calculated by the externally arranged from the vehicle computing device calculated results are transmitted to the vehicle.

Advantageous developments of the method are the subject of dependent claims.

An advantageous development of the method provides that the outsourcing of the determination of the operating data in the externally arranged from the vehicle computing device is performed when a degree of utilization of the computing device of the vehicle is exceeded defined. In this way, for example, in the event of overload of the computing device in the form of e.g. Computing load, heat load, etc. outsourcing of computing capacity to the cloud.

A further advantageous development of the method provides that the outsourcing of the determination of the operating data to the computer device arranged externally from the vehicle is carried out when the computer device no longer operates without errors, environmental sensors of the vehicle detecting an environment of the vehicle. In this case, an outsourcing of computing capacity to the external computing device occurs when the computing device is no longer functioning properly. In this case, environmental sensors still have to function so that it is possible to record environmental data without errors, whereby raw data from the environmental sensors is then transferred to the cloud.

A further advantageous embodiment of the method is characterized in that the outsourcing of the determination of the operating data in the externally arranged from the vehicle computing device is performed when a hardware failure is detected in the vehicle. In this way it is supported that the determination of the operating data for the automated vehicle is always carried out with a fault-free computing device.

A further advantageous development of the method provides that the outsourcing of the determination of the operating data to the computer device arranged externally from the vehicle is carried out if a software error is detected on an independent calculation path in the vehicle or by means of a plausibility check process of the computing device arranged externally of the vehicle. In this way, a swapping of the determination of the operating data is performed on the external computing device even when detecting a software error.

A further advantageous development of the method provides that the outsourcing of the determination of the operating data to the computer device arranged externally from the vehicle is performed when results of calculations of the computer device are transmitted to the computer device arranged externally of the vehicle. In this case, outsourcing of the calculations of the operating data takes place in a case where operating data must be distributed to other vehicles anyway. Advantageously, this makes it possible to exploit the usually far more powerful external computer device.

A further advantageous development of the method provides that the outsourcing of the calculations to the computer device arranged externally of the vehicle depends on a speed of the vehicle and / or on a quality of the communication connection to the computer device arranged externally to the vehicle. In this way it is advantageously supported that the outsourcing always takes place only if the necessary resources are available to a sufficient extent.

A further advantageous development of the method provides for each vehicle variant a copy of a calculation rule of the computer device in the computer device arranged externally from the vehicle. To this Way is supported that a determination of the data can be performed substantially identical to the computing device of the vehicle. A high consistency of the operating data is advantageously supported in this way.

A further advantageous development of the method provides that a plausibility check is carried out in the computer device arranged externally of the vehicle for the calculations of the own vehicle. In this way, it can be checked whether the own computing device still calculates correctly. In this case, the computing device arranged externally of the vehicle has a so-called truth instance and thus a higher priority than the computing device of the vehicle.

The invention will be described in detail below with further features and advantages with reference to several figures. All described or illustrated features, alone or in any combination form the subject matter of the invention, regardless of their summary in the claims or their dependency, as well as regardless of their formulation or representation in the description or in the figures. The figures are primarily intended to illustrate the principles essential to the invention. Disclosed method features are analogous to corresponding disclosed device features and vice versa. This means, in particular, that features, technical advantages and embodiments relating to the method result analogously from corresponding embodiments, features and advantages of the device and vice versa.

• 1 eine prinzipielle Darstellung eines Szenarios zum Ausführen des vorgeschlagenen Verfahrens; und
• 2 einen prinzipiellen Ablauf einer Ausführungsform des vorgeschlagenen Verfahrens zum Ermitteln von Betriebsdaten für ein automatisiertes Fahrzeug.

In the figures shows:

• 1 a schematic representation of a scenario for carrying out the proposed method; and
• 2 a basic flow of an embodiment of the proposed method for determining operating data for an automated vehicle.

Description of embodiments

In the following, the term automated motor vehicle is used interchangeably in the meanings partially automated motor vehicle, autonomous motor vehicle and partially autonomous motor vehicle.

Nowadays, the calculations for automated driving are made exclusively on the automated vehicle. High-performance computing cores are usually used for this, in order to be able to process the resulting high volume of data in a timely manner. However, such computing systems are relatively expensive, take up a lot of space in the vehicle and can reach their limits as a result of the ever-increasing number of sensor systems in the vehicle relating to the computing load.

The invention proposes a specific outsourcing of computational load of the automated vehicle into a computing device ("cloud") arranged externally of the vehicle.

1. A) die Rechenlast des Fahrzeugrechners übersteigt einen bestimmten Wert (Overflow)
2. B) der Fahrzeugrechner für das automatisierte Fahren funktioniert in bestimmten Situationen nicht mehr fehlerfrei. In diesem Fall sensieren Umfeldsensoren des Fahrzeugs das Umfeld noch fehlerfrei und eine Car-to-X-Kommunikationsverbindung des Fahrzeugs ist ebenfalls noch intakt
3. C) Ergebnisse von Berechnungen müssen ohnehin an die Cloud oder an weitere Fahrzeuge übertragen werden

The outsourcing of calculations for automated driving to the cloud is carried out under the following specific circumstances, which are given by way of example only:

1. A) the computing load of the vehicle computer exceeds a certain value (overflow)
2. B) the automated driving vehicle computer no longer works properly in certain situations. In this case environment sensors of the vehicle still sense the environment without errors and a car-to-X communication connection of the vehicle is also still intact
3. C) Results of calculations have to be transferred anyway to the cloud or other vehicles

For offloading calculations to the cloud, it may be beneficial to provide an image of a computing rule for automated driving ("artificial intelligence") in the cloud. In this case, the image of the artificial intelligence in the cloud can correspond exactly to the artificial intelligence on the automated vehicle or be defined differently to the artificial intelligence of the automated vehicle. An identical image of the artificial intelligence of the automated vehicle in the cloud has the significant advantage that with the same input data, calculation results of the cloud do not differ from calculation results on the automated vehicle. Advantageously, an image of the artificial intelligence in the cloud for entire vehicle variants or vehicle families.

1 shows a highly schematic, exemplary scenario for determining operating data for an automated vehicle 100a , One recognizes one in the automated vehicle 100a arranged computing device 10a for determining operating data of the automated vehicle 100a , In this case, the computing device 10a for example as a control device for determining trajectories of the vehicle 100a educated. Alternatively or additionally, the computing device 10a Also be designed as an airbag control unit, an ESP control unit, etc., to relieve the said control units or to the most error-free operation of the vehicle 100a to support.

The computing device 10a has an evaluation facility 11a on, which is a state of the computing device 10a determined and evaluated according to the above criteria A, B, and C. In the event that at least one of the criteria A, B, C is satisfied, by means of the evaluation device 11a an outsourcing of computing load of the computing device 10a to the cloud 200 initialized. At the same time, the necessary data is transmitted via a communication interface 20a (eg a Car-to-X interface) of the vehicle 100a to a communication device 210 the cloud 200 transfer. By means of a computing device 220 the outsourced computing load is taken over and corresponding results via the communication interfaces 210 . 20a to the automated vehicle 100a transmitted.

Exceeds the burden of the computing device 10a According to criterion A) a certain value, are defined calculation tasks of the computing device 10a into the cloud 200 outsourced. For this purpose, the vehicle transmits 100a using the communication interface 20a the relevant input data, such as environmental sensor data (eg camera, radar, ultrasound, lidar, positioning data, etc.) to the cloud 200 , Then done inside the cloud 200 the corresponding calculations. The results of the calculations become the vehicle 100a transferred back as soon as possible.

In the event that outsourcing the computational effort to the cloud 200 due to a hardware failure of the computing device 10a carried out, it must be ensured that the environment sensors 30a of the vehicle 100a still work, so that this appropriate environment data, such as data of a recorded environment 40a to the cloud 200 so that the computing device 220 can perform the necessary calculations without errors.

Depending on the quality of the communication connection by means of the communication interface 20a be inside the cloud 200 critical or uncritical calculations performed. For example, is said communication link for carrying out a trajectory planning by means of the cloud 200 not fast enough, instead time-critical calculations on the computing device 220 the cloud 200 performed, for example, a localization of the vehicle 100a on a map using the environmental sensors 30a determined vehicle positions. In the case that said communication connection is sufficiently good or fast, can also critical calculations in the cloud 200 be performed.

Does the computing device work? 10a for automated driving in certain situations according to criterion B) no longer error-free, but the environment sensors 30a ... 30n of the vehicle 100a still work properly and the communication link of the vehicle 100a to the cloud 200 is still intact, so can also do calculations in the cloud 200 be outsourced.

For this purpose, the vehicle transmits 100a Using the existing communication link, the relevant input data, such as sensor data of the environment sensors 30a (eg camera, radar, ultrasound, lidar, location data (eg GNSS data, etc.)), and then within the cloud 200 the corresponding calculations are carried out. The results of the calculations will be sent to the vehicle as soon as possible 100a transferred back. In such a case, the primary goal of the calculations is in the cloud 200 , the vehicle 100a in a safe state, so that in case of failure or failure of the computing device 10a Accidents of the automated vehicle 100a can be avoided.

According to criterion B, a hardware fault can be detected on the vehicle. Furthermore, a software error may be detected by means of an independent calculation path within the vehicle or by means of a plausibility check on the computer device digit 220 in the cloud 200 be recognized.

The results need to have certain calculations of the vehicle 100a according to criterion C) anyway to the cloud 200 or to other neighboring vehicles 100b ... 100n be transferred, it may be useful to do the calculations directly in the cloud 200 perform. This saves valuable time because calculation results do not come from the vehicle to the cloud 200 must be transferred.

• - Relativabstände zwischen Fahrzeugen 100a... 100n berechnet und ausgetauscht werden sollen. Hier ist eine Berechnung der Ergebnisse basierend auf den Umfeldsensordaten bzw. Positionsdaten der Einzelfahrzeuge über der Zeit in der Cloud 200 sinnvoll. Die Ergebnisse können anschließend direkt aus der Cloud 200 an die weiteren Fahrzeuge übertragen werden, wodurch die Ergebnisse zeitgleich auf allen Fahrzeugen 100a... 100n innerhalb eines Mindestabstands zur Verfügung stehen.
• - Mehrere Fahrzeuge 100a... 100n auf einer zentralen Karte abgebildet werden sollen. Die Karte (nicht dargestellt) befindet sich in diesem Fall in der Cloud 200, wobei die Positionen entweder direkt aus den Fahrzeugen 100a... 100n an die Cloud 200 übertragen werden, oder aber die Positionen der Einzelfahrzeuge werden in der Cloud 200 aus GNSS-Rohdaten berechnet und auf die Karte gemappt. Die Positionen der Einzelfahrzeuge auf der zentralen Karte können anschließend zu Navigationszwecken bzw. zur verbesserten Trajektorienplanung auf die Einzelfahrzeuge im Mindestabstand übertragen werden.
• - Geplante Trajektorien zwischen den Fahrzeugen ausgetauscht werden sollen (sinnvoll für Trajektorienplanung bzw. Kollisionsvermeidung mit den Fahrzeugen). Hier kann die Trajektorie mithilfe der Umfeldsensordaten bzw. Fahrzeugpositionen für jedes Fahrzeug 100a... 100n innerhalb der Cloud 200 berechnet werden. Dies ist durch die eindeutige fahrzeugvariantenspezifische Berechnungsvorschrift in der Cloud 200 möglich. Anschließend werden die Trajektorien an die Einzelfahrzeuge übertragen und ausgewertet. Außerdem erfolgt die Ansteuerung der Aktuatoren des Fahrzeugs über die rückübertragenen Fahrzeugtrajektorien aus der Cloud 200.

This is the case, for example, if:

• - Relative distances between vehicles 100a ... 100n calculated and exchanged. Here is a calculation of the results based on the environmental sensor data or position data of the individual vehicles over time in the cloud 200 meaningful. The results can then be directly from the cloud 200 be transferred to the other vehicles, which results at the same time on all vehicles 100a ... 100n within a minimum distance.
• - Several vehicles 100a ... 100n to be displayed on a central map. The map (not shown) is located in the cloud in this case 200 , where the positions either directly from the vehicles 100a ... 100n to the cloud 200 or the positions of the individual vehicles are in the cloud 200 calculated from GNSS raw data and mapped onto the map. The positions of the individual vehicles on the central map can then be transmitted to the individual vehicles in the minimum distance for navigation purposes or for improved trajectory planning.
• - Planned trajectories between the vehicles to be exchanged (useful for Trajektorienplanung or collision avoidance with the vehicles). Here, the trajectory can be done using environmental sensor data or vehicle positions for each vehicle 100a ... 100n within the cloud 200 be calculated. This is due to the unique vehicle variant-specific calculation rule in the cloud 200 possible. Subsequently, the trajectories are transmitted to the individual vehicles and evaluated. In addition, the actuation of the actuators of the vehicle takes place via the retransferred vehicle trajectories from the cloud 200 ,

In a further variant of the proposed method, it is provided that the vehicles 100a ... 100n even part of the cloud 200 are. This means, for example, that vehicles 100a ... 100n within a minimum distance via the communication interfaces 20a ... 20n exchange data with each other. In this case, it may be advantageous to outsource the calculations of a vehicle in the cases of the criteria A), B) and C) to other vehicles. This is especially the case if the results of the calculations anyway on the other vehicles 100a ... 100n be needed and on the other vehicles 100a ... 100n free computing capacities are available. This can be the case, for example, when vehicles of a younger generation with more computing power are involved in the road traffic situation at the same time as other older generation vehicles with lower computing power. This variant is particularly advantageous in urban traffic and / or situations in which a short latency time is required to perform the calculations.

An example of the mentioned variant is the calculation of relative distances between the vehicles 100a ... 100n , In this case, the position data of a vehicle can be transmitted directly to the surrounding vehicles. The calculation of relative positions between the vehicles 100a ... 100n then takes place on the other vehicles. According to the above-mentioned criteria A) and B), outsourcing of computing processes to the surrounding vehicles can also take place, provided they have free computing capacity. This is particularly advantageous if there is no cloud in the transport infrastructure 200 is present, which can take over the calculations of the vehicle. This means that the automated vehicle 100a ... 100n can be put into a safe state by the necessary calculations are performed on the surrounding vehicles with free computing capacity. The automated vehicle is then placed in a safe state via results of the calculations of the other vehicles.

• - Auch beim Rechnerausfall oder bei einem teilweise defekten Fahrzeugrechner eines automatisierten Fahrzeugs kann das automatisierte Fahrzeug für eine bestimmte Zeit weiterbetrieben werden, wobei das Fahrzeug in einen sicheren Zustand versetzt werden kann
• - Es wird Rechenzeit in Fällen eingespart, in denen die Rechenergebnisse ohnehin an die Cloud 200 oder an weitere Fahrzeuge übertragen werden müssen
• - Je nach Güte der Kommunikationsverbindung werden kritische oder weniger kritische Berechnungen innerhalb der Cloud 200 durchgeführt
• - Die Ergebnisse der Berechnungen in der Cloud 200 und auf dem Fahrzeug 100a stimmen weitestgehend überein, da sich auf der Cloud 200 eine Kopie der künstlichen Intelligenz des Fahrzeugs für die durchzuführenden Berechnungen befindet
• - Auf der Cloud 200 sind eventuell mehr Rechenkapazitäten vorhanden als in dem Fahrzeug, sodass bestimmte Berechnungen innerhalb der Cloud 200 wesentlich schneller als auf dem Fahrzeug durchgeführt werden können
• - Wenn keine Cloud 200 vorhanden ist, um die Berechnungen eines Fahrzeugs zu übernehmen sind, kann auf eine „Fahrzeug-zu-Fahrzeug-Cloud“ zurückgegriffen werden, sodass das entsprechende Fahrzeug in einen sicheren Zustand versetzt werden kann. Dies erfolgt, indem die Berechnungen des Fahrzeugs auf die umliegenden Fahrzeuge innerhalb eines Mindestabstands durchgeführt werden
• - Vorteilhaft kann mit dem vorgeschlagenen Verfahren die Sicherheit im Straßenverkehr erhöht werden

Significant advantages of the proposed method are in particular:

• - Even in the case of computer failure or a partially defective vehicle computer of an automated vehicle, the automated vehicle can continue to operate for a certain time, the vehicle can be placed in a safe state
• - It saves computing time in cases where the computational results anyway to the cloud 200 or to be transferred to other vehicles
• - Depending on the quality of the communication connection, critical or less critical calculations within the cloud 200 carried out
• - The results of calculations in the cloud 200 and on the vehicle 100a As far as possible agree, as in the cloud 200 a copy of the artificial intelligence of the vehicle for the calculations to be performed
• - On the cloud 200 There may be more computing capacity than in the vehicle, so there are certain calculations within the cloud 200 much faster than can be done on the vehicle
• - If not a cloud 200 is present to take over the calculations of a vehicle can be resorted to a "vehicle-to-vehicle cloud", so that the corresponding vehicle can be placed in a safe state. This is done by performing the calculations of the vehicle on the surrounding vehicles within a minimum distance
• - Advantageously, the road safety can be increased with the proposed method

Although the above examples are always the vehicle 100a As the computing power outsourcing vehicle is described, it is of course also possible that other vehicles 100b ... 100n the computing power to the cloud 200 outsource, with the appropriate Calculation results can be distributed to the same vehicles or to other vehicles.

2 shows a basic sequence of an embodiment of the method according to the invention.

In one step 300 is determining a state of a computing device 10a ... 10n for determining the operating data during operation of the automated vehicle 100a ... 100n carried out.

In one step 310 is an evaluation of the determined state of the computing device 10a ... 10n carried out according to at least one defined criterion A, B, C.

In one step 320 is a defined outsourcing of determining the operating data in a remote from the vehicle computing device 220 ; 10a ... 10n depending on the evaluated state of the computing device 10a ... 10n carried out.

In one step 330 is a transfer of the operating data from the external of the vehicle 100a ... 100n arranged computing device 220 ; 10a ... 10n to the vehicle 100a ... 100n carried out.

Advantageously, the proposed method by means of a on the computer devices 10a ... 10n . 220 running software program, whereby a simple adaptability of the method is supported.

One skilled in the art will suitably modify and / or combine the features of the invention without departing from the gist of the invention.

QUOTES INCLUDE IN THE DESCRIPTION

This list of the documents listed by the applicant has been generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Cited patent literature

• DE 10210546 A1 [0008]

Claims (11)

Method for determining operating data for an automated vehicle (100a ... 100n), comprising the steps: - determining a state of a computing device (10a ... 10n) for determining the operating data during operation of the automated vehicle (100a ... 100n); - evaluating the determined state of the computing device (10a ... 10n) according to at least one defined criterion (A, B, C); - Defined outsourcing of determining the operating data in a remote from the vehicle computing device (220; 10a ... 10n) depending on the evaluated state of the computing device (10a ... 10n); and - Transferring the operating data from the externally from the vehicle (100a ... 100n) arranged computing device (220; 10a ... 10n) to the vehicle (100a ... 100n). Method according to Claim 1 wherein the outsourcing of determining the operating data to the computing device (220; 10a... 10n) arranged externally of the vehicle (100a... 100n) is performed when a utilization rate of the computing device (10a... 10n) of the vehicle (100a ... 100n) defined is exceeded. Method according to Claim 1 or 2 wherein the outsourcing of the determination of the operating data in the externally from the vehicle (100a ... 100n) arranged computing device (220; 10a ... 10n) is performed when the computing device (10a ... 10n) no longer works properly, said Environmental sensors (30a ... 30n) of the vehicle (100a ... 100n) detect an environment (40a ... 40n) of the vehicle (100a ... 100n). Method according to Claim 3 wherein the outsourcing of determining the operation data to the computing device (220; 10a ... 10n) disposed externally of the vehicle (100a ... 100n) is performed when a hardware failure is detected in the vehicle. Method according to Claim 3 wherein the outsourcing of determining the operating data to the computing device (220; 10a ... 10n) disposed externally of the vehicle (100a ... 100n) is performed when a software error occurs on an independent computing path in the vehicle (100a ... 100n) or by means of a plausibility check process of the computer device (220, 10a... 10n) arranged externally from the vehicle. Method according to one of the preceding claims, wherein the outsourcing of the determination of the operating data in the externally from the vehicle (100a ... 100n) arranged computing device (220; 10a ... 10n) is performed when results of calculations of the computing device to the externally from Vehicle (100a ... 100n) arranged computing device (220, 10a ... 10n) are transmitted. Method according to one of the preceding claims, wherein the outsourcing of the calculations to the computing device (220; 10a... 10n) arranged externally of the vehicle (100a... 100n) depends on a speed of the vehicle and / or a quality of the communication connection to the outside from the vehicle (100a ... 100n) arranged computing device (220; 10a ... 10n) depends. Method according to one of the preceding claims, wherein for each vehicle variant, a copy of a calculation rule of the computing device in the externally from the vehicle (100a ... 100n) arranged computing device (220; 10a ... 10n) is shown. Method according to Claim 8 , wherein for the calculations of the own vehicle, a plausibility check in the externally from the vehicle (100a ... 100n) arranged computing device (220; 10a ... 10n) is performed. Device (10a ... 10n) for determining operating data of an automated vehicle (100a ... 100n), comprising: - an evaluation device (11a ... 11n), which is designed to detect a state of the computing device (10a ... 10n) and to evaluate according to at least one defined criterion (A, B, C); in which - the evaluation device (11a ... 11n) is formed, in the case of fulfilling the at least one criterion (A, B, C), the calculations of the computing device via a communication interface (20a ... 20n) to an external from the vehicle (100a. .. 100n) arranged to outsource computing device (220, 10a ... 10n); and where - The calculated by the externally from the vehicle (100a ... 100n) computing device (220, 10a ... 10n) calculated results to the vehicle (100a ... 100n) can be transmitted. Computer program product with program code means for carrying out the method according to one of Claims 1 to 9 when it runs on an electronic computing device (10a ... 10n) and / or on an external computing device (220) or is stored on a computer-readable medium.

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