DE102010002092A1 - Communication device for driver assistance system of e.g. motor vehicle such as car, to provide e.g. car to car communication, has data preprocessing unit for preprocessing and transmitting received data - Google Patents

Abstract

The device (103) has a communication unit (101) i.e. mobile telephone, for receiving data of a communication participant. A data preprocessing unit is provided for preprocessing the received data and transmission of the preprocessed data for an application of the participant, where preprocessing of the received data includes data reduction, data plausibilization, data correction and data quality improvement. The data preprocessing unit is implemented for preprocessing the received data with respect to information of a vehicle sensor and/or a satellite navigation unit. Independent claims are also included for the following: (1) a method for vehicle to x-communication (2) a computer-readable medium has a program element for vehicle to x-communication.

Description

Field of the invention

The The invention relates to the assistance and communication technology for Vehicles. In particular, the invention relates to a communication device a subscriber for vehicle-to-X communication, a driver assistance system with a communication device, a vehicle with a communication device, a method for vehicle-to-X communication, a program element and a computer readable medium.

Technological background

at vehicle-to-vehicle communication and vehicle-to-infrastructure communication, hereinafter referred to as vehicle-to-X communication (C2X communication), communicate vehicles and / or infrastructure with neighboring Vehicles. These C2X systems can therefore be considered intelligent Transport systems (Intelligent Transport Systems, ITS) in a communication network be embedded. A possible architecture for ITS could be standardized by ETSI in the future. Such an architecture could be based on work in research programs, like the german C2X test field simTD or the European Projects based on Safespot, CVIS, Coopers and Pre-Drive.

A The challenge with C2X communication is to provide sufficient Provide data security and effective data usage.

Summary of the invention

It It is an object of the invention to provide effective data usage to provide the C2X communication.

It are a communication device of a subscriber for vehicle-to-X communication, a Driver assistance system for a vehicle with such Communication device, a vehicle with a communication device, a method for vehicle-to-X communication between vehicles, a program element and a computer readable medium according to the Features of the independent claims specified. Further developments of the invention will become apparent from the dependent claims.

The relate to the embodiments described below likewise the communication device, the driver assistance system, the Vehicle, the procedure, the program element and the computer-readable Medium. In other words, features can be found below For example, described with regard to the communication device be implemented as procedural steps, and vice versa.

According to one Aspect of the invention is a communication device of a subscriber indicated for the vehicle-to-X communication. The communication device has a communication unit and a data preprocessing unit. The communication unit is for receiving data from an adjacent one Communication participant executed. The data pre-processing unit is for preprocessing the received data and for forwarding the preprocessed data to an application of the subscriber.

In In other words, there is a within the communication device Data preprocessing takes place before the (preprocessed) data then to a continuing application (for example, a driver assistance system or an infotainment system). In this way For example, an early data reduction can be performed become. For example, any equivalent application will not always be supplied with all data coming in via the radio channel, but only with a specific selection of the received data. Conversely, this means that not every application can be used simultaneously must be able to deal with all data and all the received data. This exam and the data selection may be upstream in the data pre-processing unit occur.

In C2X communication, very large amounts of data may be required, for example, in the range of 12 Mbits of raw data IEEE 802.11p , These data may be reduced by preprocessing into an amount that is manageable for a subscriber's security system or mobility systems (eg by not forwarding inappropriate data to that system). Furthermore, the preprocessing, especially for security systems, can maintain a level of trust or a security level of the data.

This for example, by data plausibility / correction / validation in the data pre-processing unit.

According to one Another aspect of the invention is a communication system with a Variety of communication devices described above and below specified.

According to one Another aspect of the invention is a driver assistance system for a vehicle specified which one and above described Communication device comprises.

According to one Another aspect of the invention is a vehicle with a top and specified in the following communication device.

According to one Another aspect of the invention is a method for vehicle-to-X communication specified in which data from a neighboring communication subscriber are received and then these data are preprocessed. thereupon will at least part of the preprocessed data to an application passed on by the participant.

According to one Another aspect of the invention is a program element indicated that if it's on a processor of a communication device running the communication device, perform the steps described above and below.

According to one Another aspect of the invention is a computer-readable medium indicated on which a program element is stored, which, if it is on a Processor of a communication device is executed, instructs the communication device described above and below To take steps.

It can be understood as a core of the invention that the received Data not provided in their raw form to the applications become. Rather, there is a preprocessing of the received data instead of. One target of this preprocessing may be relevant objects and extract situations or events from the data stream and the applications for further analysis to deliver.

additionally It makes sense, at this point already a plausibility the data and, if necessary, the quality to improve the information. In addition, can be provided be to submit the data with useful additional information, For example, the distance of the transmitter to your own vehicle or a Probable meeting time between the vehicle and an adjacent one Vehicle. It is also possible to do a coordinate transformation to perform the position information from the absolute GPS coordinate system into a relative coordinate system. The positions can be, for example, subsequently be presented in both coordinate systems, as for Traffic applications possibly the absolute position more interesting is to allow mapping to a map location.

One Another core of the invention can be seen that for the preprocessing of the data is a multi-step procedure becomes. For this, the data is divided into four (or more) classes, for example, infotainment data (green class), mobility data (yellow class), driver assistance data (orange class) and safety data (red class).

in the Below, with reference to the figures, embodiments of the invention.

Brief description of the figures

1 shows various components of an ITS communication system according to an embodiment of the invention.

2 shows a communication device according to an embodiment of the invention.

3 shows an architecture of an ITS station.

4 shows the classification of C2X data.

5 shows an ITS system in a vehicle according to an embodiment of the invention.

6 shows a flowchart of a method according to an embodiment of the invention.

Detailed description of embodiments

The Representations in the figures are schematic and not to scale.

In The following figure description will be for the same or similar elements use the same reference numerals.

1 shows various components of an ITS communication system according to an embodiment of the invention. At the first component 101 it is a mobile phone of a first communication subscriber. At the second component 102 it is a central office with a central server, a router and a gateway.

In the third component 103 it is a communication device installed in a vehicle. At the fourth component 104 it is an infrastructure facility that is installed, for example, on the side of the road or on a bridge.

All components 101 - 104 point a communication device for vehicle-to-X communication described above and below. The breakdown may be in line with the current state of standardization of ETSI.

2 shows a communication device 100 according to an embodiment of the invention, for example, installed in a vehicle. The communication device 100 has a communication unit 101 (permanently installed or, for example, in the form of one with the data pre-processing unit 105 and / or the control unit 110 connected mobile phone), a data pre-processing unit 105 and a control unit 110 on.

The communication unit 101 is wired and / or wireless to the data preprocessing unit 105 connected. In the data preprocessing unit, the received data is preprocessed and then sent to the control unit 110 or directly to a corresponding application (for example, a driver assistance system 109 ).

To the control unit 110 and / or to the data pre-processing unit 105 are a vehicle sensor system 106 , an environment sensor 111 , a satellite navigation unit 107 (for position determination), a navigation unit 108 as well as a driver assistance system 109 connected.

It should be noted that the communication between the individual components in the vehicle (for example, between individual in the 2 shown components) wired and (in certain embodiments) alternatively or additionally can be done wirelessly.

at the vehicle is, for example, a motor vehicle, such as car, bus or truck, or even a rail vehicle, a ship, an aircraft, such as a helicopter or airplane, or for example, a bicycle.

Farther It should be noted that in the context of the present invention GPS representative of all global navigation satellite systems (GNSS), such as GPS, Galileo, GLONASS (Russia), COMPASS (China), IRNSS (India).

At This point should also be noted that the position determination of the vehicle can also be done via a cell positioning. This is particularly useful when using GSM or UMTS networks at.

According to an embodiment of the invention, the subscriber is the communication device 100 is assigned to a vehicle, an infrastructure or a mobile device.

According to one Another embodiment of the invention comprises Preprocessing of the received data a data reduction.

According to one Another embodiment of the invention comprises Preprocessing of the received data a data plausibility check and / or a data correction.

According to one Another embodiment of the invention comprises Preprocessing the received data a data quality improvement.

According to a further embodiment of the invention, the data pre-processing unit 105 for preprocessing the received data on the basis of information from a vehicle sensor system 106 and / or a position determination unit 107 executed. Also, data can be an environment sensor 111 be involved.

According to one Another embodiment of the invention is the data preprocessing unit for Pre-processing of the received data before feeding the data to a local dynamic card of the subscriber.

According to a further exemplary embodiment of the invention, the data preprocessing unit is a separate control unit 105 executed. The data pre-processing unit 105 but also in the control unit 110 be integrated.

According to one Another embodiment of the invention is the data preprocessing unit for Transfer of preprocessed data in two different formats executed.

According to a further embodiment of the invention, the data pre-processing unit 105 for identification of different data classes (of the received data) and for multi-stage data preprocessing depending on the identified data class.

• – Objekte, die zu weit vom eigenen Fahrzeug entfernt sind, werden nicht berücksichtigt oder nur dann berücksichtigt, wenn sie eine spezielle Situation signalisieren (zum Beispiel Rettungswagen). Die relevante Entfernung zu dem Objekt wird dabei durch die eigene Geschwindigkeit, die Bewegungsrichtung und, falls sinnvoll, die Art der empfangenen Meldung festgelegt. Als Parameter kann beispielsweise die Zeit bis zum wahrscheinlichen Erreichen des Fahrzeugs, Objekts oder der Situation verwendet werden.
• – Viele örtliche nahe Objekte mit gleichem grundsätzlichem Verhalten werden zu einer Situation zusammengefasst. Beispielsweise kann es sich um einen Stau (aus vielen Fahrzeugen, die stehen) oder stockendem Verkehr handeln. Auch können Fahrzeugkolonnen identifiziert werden, die eine bestimmte Kolonnendurchschnittsgeschwindigkeit auf einer stark befahrenen Straße (anstelle von Einzelfahrzeugen) aufweisen. Auch können Baustellen, usw. identifiziert werden. Diese Situationsanalyse kann sich bei Bedarf auf die Situationen beschränken, die von den nachfolgenden Applikationen weiterverarbeitet werden. Für die Situationsanalyse kann die Historie der zu einzelnen Fahrzeugen zugeordneten Informationen genutzt werden.
• – Nur Objekte im eigenen „Bewegungsschlauch” bzw. Fahrschlauch werden berücksichtigt. Auch ist es möglich, nur solche Objekte zu berücksichtigen, die in einer vorgegebenen Zeit dem „Bewegungsschlauch” nahe kommen oder ihn kreuzen. In die Ermittlung des Bewegungsschlauchs kann dabei auch die geplante Route eingehen, so dass Informationen auf dieser Route beachtet werden.
• – Verschiedene Objektinformationen werden zu einer Aussage (Information) kombiniert (zum Beispiel liegengebliebenes Fahrzeug aus der Geschwindigkeit, den Warnblinkern, etc., oder Notbremsung aus hohem Druck im Bremszylinder, Bremsleuchte an und starker Verzögerung, etc.). Nur diese Aussage wird dann der Anwendung zur Verfügung gestellt.
• – Teile der übermittelten Informationen werden verworfen, falls diese Teile aktuell nicht relevant sind und/oder sich nicht signifikant geändert haben.
• – Die Auflösung der Daten wird reduziert, wenn die höhere Auflösung nicht relevant ist (zum Beispiel für die Position bei weiter entfernten Objekten).
• – In Hochlastsituationen werden beispielsweise nur die kritischen Nachrichten berücksichtigt. Von diesen kritischen Nachrichten werden nur die nach den oben beschriebenen Kriterien relevanten Nachrichten weitergegeben.
• – Applikationsspezifische Filter können eingesetzt werden, so dass zum Beispiel einer nachgeschalteten Applikation (zum Beispiel Fahrerassistenzsystem) für Blaulichtfahrzeugwarnung nur Nachrichten von Blaulichtfahrzeugen weitergeleitet werden, wohingegen in einer anderen Applikation für Stauendewarnung nur die entsprechend relevanten Informationen weitergeleitet werden.

For example, the following methods can be used for data reduction:

• - Objects that are too far away from your own vehicle are not taken into account or taken into account only if they signal a specific situation (for example ambulances). The relevant distance to the object is determined by its own speed, the direction of movement and, if appropriate, the type of message received. As a parameter, for example, the time to the probable reaching of the vehicle, object or the Situation to be used.
• - Many local close objects with the same basic behavior are combined into one situation. For example, it can be a traffic jam (from many vehicles that stop) or slow traffic. Also, vehicle columns can be identified that have a certain column average speed on a busy road (rather than individual vehicles). Also, construction sites, etc. can be identified. If necessary, this situation analysis can be limited to the situations that are subsequently processed by the subsequent applications. For the situation analysis, the history of the information assigned to individual vehicles can be used.
• - Only objects in their own "movement tube" or travel tube are taken into account. It is also possible to take into account only those objects which come close to or intersect the "movement tube" in a given time. The planned route can also be included in the determination of the movement tube so that information on this route is taken into account.
• - Various object information is combined into a statement (information) (for example, stopped vehicle from the speed, the hazard lights, etc., or emergency braking from high pressure in the brake cylinder, brake light on and strong deceleration, etc.). Only this statement is then made available to the application.
• - Parts of the transmitted information are discarded if these parts are currently not relevant and / or have not changed significantly.
• - The resolution of the data is reduced if the higher resolution is not relevant (for example, for the position with more distant objects).
• - In high-load situations, for example, only the critical messages are taken into account. Of these critical messages, only the messages relevant to the criteria described above will be passed.
• Application-specific filters can be used, so that, for example, a downstream application (for example driver assistance system) for blue light vehicle warning only messages of blue light vehicles are forwarded, whereas in another application for congestion warning only the relevant relevant information will be forwarded.

• – Die Position des benachbarten Kommunikationsteilnehmers kann in Relation zur eigenen Position gesetzt werden. Ergeben sich dabei Abstände, die verhältnismäßig groß sind, so kann von einem Fehler ausgegangen werden. Vor allem dann, wenn dieser Abstand nicht zu der Anzahl der Kommunikations-Hops und/oder der Kommunikationsreichweite passt. Ein Hop bezeichnet hierbei die einmalige erneute Aussendung einer Botschaft als Broadcast und damit die Weiterleitung an andere Objekte (Kommunikationsteilnehmer) außerhalb der Reichweite des ursprünglichen Senders.
• – Empfangsfehler bzw. Datenfehler können zum Beispiel modellgestützt korrigiert werden. So kann die Ausrichtung eines Fahrzeugs aus der Geschwindigkeit und seiner bisherigen Bewegung, etc. abgeleitet werden. In anderen Worten wird die Historie mitberücksichtigt. Zustandsgrößen wie Geschwindigkeit, Beschleunigungen, usw. können sich nur mit bestimmten (sinnvollen) Änderungsraten verändern.
• – Fahrdynamische Größen inklusive der Position verschiedener Fahrzeuge können miteinander verglichen werden und dadurch gegenseitig plausibilisiert werden.
• – Aktionsinformationen (beispielsweise Bremsdruck, Lenkradwinkel, ...) können mit Reaktionsgrößen (beispielsweise Geschwindigkeit, Beschleunigung, Position, ...) verglichen werden. Dieser Vergleich basiert beispielsweise auf einem bestimmten Modell und diese Größen können dadurch gegenseitig plausibilisiert werden.

The following procedures can be used to validate and correct the data (which is just an example and not an exhaustive list):

• - The position of the neighboring communication subscriber can be set in relation to his own position. If there are distances that are relatively large, an error can be assumed. Especially if this distance does not match the number of communication hops and / or the communication range. In this case, a hop designates the single retransmission of a message as a broadcast and thus the forwarding to other objects (communication participants) outside the range of the original sender.
• - Receiving errors or data errors can be corrected, for example, model-based. Thus, the orientation of a vehicle from the speed and its previous movement, etc. can be derived. In other words, the history is taken into account. State variables such as speed, accelerations, etc. can only change with certain (meaningful) rates of change.
• - Driving dynamics variables including the position of different vehicles can be compared with each other and thus be mutually plausible.
• - Action information (eg brake pressure, steering wheel angle, ...) can be compared with reaction quantities (eg speed, acceleration, position, ...). For example, this comparison is based on a specific model and these variables can be made mutually plausible.

• – die Position der Objekte über die Zeit gefiltert wird, zum Beispiel mit statistischen Methoden. Dadurch kann der typische Fehler von GPS über die Zeit verkleinert werden.
• – die Position der unterschiedlichen Objekte zueinander geprüft und ebenfalls über die Zeit korrigiert werden.
• – die empfangene Position mit der Empfangsfeldstärke korreliert wird.
• – Fahrzeugmodelle bzw. dynamische Modelle eingesetzt werden, um die Positionen des eigenen Fahrzeugs und der Objekte im Umfeld zu schätzen und damit fortzuschreiben, um zum Beispiel eine höhere zeitliche Auflösung zu erhalten. Dies lässt sich gut mit der Filterung verbinden. Zusätzlich kann hier auch sogenanntes Dead-Reckoning eingesetzt werden.
• – Verzögerungen (konstant und variabel) zwischen realer Position und übermittelter GPS-Position können kompensiert werden. Hierbei können adaptive Verfahren eingesetzt werden oder eine Identifikation (regelungstechnische Begriffsbedeutung) der Verzögerung durchgeführt werden. Diese Kompensation kann sehr gut mit der Filterung und der Fortschreibung kombiniert werden.

Quality improvement can be achieved by, for example:

• - The position of the objects is filtered over time, for example using statistical methods. This can reduce the typical error of GPS over time.
• - Checked the position of the different objects to each other and also corrected over time.
• - The received position is correlated with the reception field strength.
• - Vehicle models or dynamic models are used to estimate the positions of the own vehicle and the objects in the environment and thus to continue, for example, to obtain a higher temporal resolution. This can be combined well with the filtering. In addition, so-called dead reckoning can also be used here.
• - Delays (constant and variable) between the real position and the transmitted GPS position can be compensated. In this case, adaptive methods can be used or an identification (control conceptual meaning) of the delay can be performed. This compensation can be combined very well with the filtering and the updating.

The For example, the methods described are based solely on the Communication data and the information about the vehicle dynamics and GPS position of the own communication participant (own vehicle). Environment sensor data and Map data is not taken into account here. Such Consideration may be in an additional step done (for example, by a so-called sensor data fusion).

Become the data is cyclically transmitted at fixed intervals, so the order of the messages may be additional Relevance can be sorted. For example, messages can be passed to the applications first with high relevance.

In order to the data preprocessing as well as possible on the corresponding Applications, the parameters of data preprocessing, such as the time to reach the object through which Applications can be parameterized and designed. It is also possible that certain elements of data preprocessing depend on the applications actually used or activated be deactivated.

The described data preprocessing can be, for example before the local dynamic map (LDM) of the ETSI architecture in the Integrate facilities layer. For structural or positioning reasons it is also possible to do the data preprocessing after the Facilities Layer.

Also is it possible that data preprocessing is designed this way is that they are implemented on a separate controller is.

Of the Following ETSI nomenclature is the described data preprocessing can be used for all ITS stations, both for the Vehicle Station, as well as for the staff, Central or Roadside Station. For each of these different Stations, the data preprocessing is adjusted accordingly, since different application classes for each of these Stations are typical. This adjustment can be automatic (for example when installing the communication unit in the vehicle / infrastructure) or by external triggering (for example, by subsequent triggering) Uploading an appropriate software).

When Interface to the next processing layer can be a event-driven data transmission can be used. The means that only data is transmitted if previously defined events have taken place. This kind of Data transmission is useful if only applications that respond to specific events, for example Ambulance or stowed vehicles. Are however applications present, which analyze the environment completely and from this their conclusions If a sensor fusion takes place with environmental sensors, then It makes sense to send the data continuously.

In Dependence of applications and applications required reaction times is the maximum delay (Delay) to be determined by the data preprocessing. Especially at Filtering, etc. can be done by a slightly larger Delay a better quality of the then transmitted Data can be achieved. But this delay is critical to safety Information and applications are often intolerable. Optionally, the system may be so two or more representations of the data available to ask, with different delays, etc. These different representations can do this pure software (ie different API call or different Memory areas in shared memory areas) or really separate signal outputs from data preprocessing.

There every data entry from the outside a potential security risk (Security Risk) can also be used in data preprocessing a firewall or protection against viruses (to analogies from the Computer world). So can the Input data after a formal review, the compliance with basic rules, such as data volume, range of values, etc. are analyzed in certain patterns. This can happen to act as a so-called behavioral filter. This security layer can pay attention purely to substantive attacks. Cryptographic methods do not need to be done here. these can in the previous processing layer.

By the use of the described data preprocessing in C2X is less Computing power and memory for the actual applications necessary, since these only the relevant objects and situations have to look at.

3 shows a possible architecture of an ITS station, for example, according to the current state of standardization at ETSI. It is a management unit 301 intended. Furthermore, the ITS station has applications 302 (for example on road safety, traffic efficiency, etc.), Facilities 303 , a network and transport unit 304 as well as an access unit 305 on. In addition, a security unit 306 intended. All units can communicate directly with the management unit 301 communicate. The units 302 - 305 can each with the management unit 301 and with the security unit 306 as well as with each other communi adorn.

The access unit 305 (Communication module 101 of the 2 ) can communicate wirelessly with external devices.

Become the received data during data preprocessing into several classes divided, these classes can be the most typical Applications for which this data is interesting are. The range limits are flexible and situation-dependent. The classification of the data into these classes is done according to different Criteria, whereby the classes are tested differently and can be preprocessed. That's the green class the infotainment data is very little pre-processed, whereas the safety data are heavily preprocessed (ie tested, validated, etc.).

By this different distribution of computing time to the different ones Areas can be ensured for a given total computing time, that safety-critical information the appropriate attention and thus have been allocated computation time.

• – Anhand einfacher Kriterien wird die erste Klasse (grün) vom Rest getrennt.
• – Im nächsten Schritt werden zusätzliche Kriterien verwendet, um die nächste Klasse (gelb) vom verbleibenden Rest zu trennen.
• – So geht es weiter, bis schließlich alle Objekte einer Klasse zugeordnet sind.

The sorting into the classes can be done according to a simple scheme:

• - Based on simple criteria, the first class (green) is separated from the rest.
• - In the next step, additional criteria are used to separate the next class (yellow) from the remainder.
• - So it goes on, until finally all objects are assigned to a class.

additionally In this way additional (meta) data can be generated, which were not transferred directly, but because of the relationship the data to each other or the history of the data are determined can. Furthermore, data are summarized, ie for Example of several vehicles for the information "traffic jam".

• – Im letzten Verarbeitungsschritt werden die sicherheitskritischen Objekte (Klassen rot und orange) zuerst bearbeitet, die schon im vorhergehenden Verarbeitungsschritt sicherheitskritisch waren.
• – Anschließend wird mit einfachen Verfahren (zum Beispiel Abstand zum eigenen Fahrzeug, Time to Collision, usw.) nach potentiellen weiteren sicherheitskritischen Objekten (Klassen rot und orange) gesucht.
• – Diese Objekte werden nun komplett vorverarbeitet (also validiert, geprüft, Zusatzdaten generiert, usw.).
• – Anschließend erfolgt die Sortierung nach dem obigen ersten Schema.

In order to ensure that safety-critical objects are also given enough attention in every case (eg, computing time), the scheme shown above can also be slightly modified:

• - In the last processing step, the safety-critical objects (classes red and orange) are processed first, which were already safety critical in the previous processing step.
• - Subsequently, with simple procedures (for example, distance to the own vehicle, time to collision, etc.) for potential further safety-critical objects (classes red and orange) searched.
• - These objects are now completely preprocessed (ie validated, checked, additional data generated, etc.).
• - Subsequently, the sorting takes place according to the above first scheme.

additionally can be provided, the areas green and yellow with hardware and / or software that is not designed to security standard is. The additional preprocessing steps for the classes orange and especially red become software and / or hardware performed the security standards (ASIL rating).

It lends itself to preprocessing according to safety standards to use known hardware and / or software So for example on processors and operating systems or software modules for ESP systems.

For example can be a computing unit of known systems, such as ESP (so for example the dual core CPU of Continental) used and thus the necessary efficiency of the Systems (especially in terms of safety / safety) can be achieved.

4 shows the classification of C2X data into a green, yellow, orange, and red category. In the green category 406 are so-called entertainment data (infotainment data), which are transmitted for example by infrastructure facilities. In the yellow class 407 it is mobility assistance data, in the orange class 408 for driver assistance data and for the red class 409 to so-called safety data.

The safety data is the vehicle 401 , which moves towards an intersection, from the immediate vicinity 410 of the vehicle from a second vehicle also approaching the intersection 402 , an oncoming vehicle 403 , a following vehicle 404 and a traffic light system 405 transmitted. The data classified as red is preferably treated, so that the driver assistance system can be supplied with it, without wasting time. The mobility assistance data becomes the vehicle 401 out of the area 411 transmitted.

5 shows an ITS system installed in a vehicle. The ITS system has an ITS antenna 501 on (DSRC, GPS, Cell), the communication unit 101 of the 2 equivalent. The data received from the antenna can be sent to the ITS sensor 502 be transmitted. The sensor 502 indicates a first preprocessing stage 503 with DSRC ITS Facilities Pre-Processing (ie a data pre-processing) processing unit 105 ) on. The pre-processed data in a first step are then a control unit 504 passed, which via a CAN interface and / or a so-called Flex Ray interface with the other vehicle components 505 is coupled. The control unit 504 corresponds to a higher safety level (safety, ASIL level) than the ITS sensor. In the control unit 504 In doing so, the safety-critical steps of preprocessing are carried out.

6 shows a flowchart of a method according to an embodiment of the invention. In step 601 Messages (data) are received from an adjacent vehicle and in step 602 passed to the data preprocessing unit. Here are the dates in step 603 divided into different classes and in step 604 a class-adjusted plausibility check, quality investigation, if necessary, correction and data reduction. In step 605 The preprocessed data is then transferred to the corresponding vehicle application.

additional It should be noted that "comprising" or "having" none excludes other elements or steps and "one" or "one" none Multiplicity excludes. It should also be noted that Features or steps that are identified by reference to one of the above Embodiments are given, also in combination with other features or steps of others described above Embodiments can be used. Reference signs in the claims are not limitations to watch.

QUOTES INCLUDE IN THE DESCRIPTION

This list The documents listed by the applicant have been automated generated and is solely for better information recorded by the reader. The list is not part of the German Patent or utility model application. The DPMA takes over no liability for any errors or omissions.

Cited non-patent literature

• - IEEE 802.11p [0009]

Claims (15)

Communication device of a subscriber for vehicle-to-X communication, the communication device comprising: a communication unit ( 101 ) for receiving data from an adjacent communication subscriber; a data preprocessing unit ( 105 ) for preprocessing the received data and for passing the preprocessed data to an application of the subscriber. Communication device according to claim 1, wherein it is the participant to a vehicle, an infrastructure facility or a mobile device. Communication device according to one of the preceding Claims, wherein the preprocessing of the received data includes a data reduction. Communication device according to one of the preceding Claims, wherein the preprocessing of the received data includes a data plausibility check and / or a data correction. Communication device according to one of the preceding Claims, wherein the preprocessing of the received data includes a data quality improvement. Communication device according to one of the preceding claims, wherein the data preprocessing unit ( 105 ) for preprocessing the received data on the basis of information from a vehicle sensor system ( 106 ) and / or a position determination unit ( 107 ) is executed. Communication device according to one of the preceding claims, wherein the data preprocessing unit ( 105 ) for preprocessing the received data before supplying the data to a local dynamic card. Communication device according to one of the preceding claims, wherein the data preprocessing unit ( 105 ) is designed as a separate control unit. Communication device according to one of the preceding claims, wherein the data preprocessing unit ( 105 ) for passing the preprocessed data in two different formats. Communication device according to one of the preceding claims, wherein the data preprocessing unit ( 105 ) is executed for the identification of different data classes and for multi-stage data preprocessing depending on the identified data class. Driver assistance system for a vehicle, comprising a communication device according to one of the claims 1 to 10. Vehicle with a communication device after one of claims 1 to 10. Procedure for vehicle-to-X communication, the procedure having the steps: Receiving data from an adjacent one Communication users; Preprocessing the received data; transfer the preprocessed data to an application of the subscriber. Program element that when on a processor a communication device is executed, the communication device guides you to perform the following steps: reception data from an adjacent communication party; preprocessing the received data; Transfer of preprocessed data to an application of the participant. Computer-readable medium on which a program element which is stored when executed on a processor of a communication device will guide the communication device, the following steps perform: Receiving data from an adjacent one Communication users; Preprocessing the received data; transfer the preprocessed data to an application of the subscriber.