DE102019120490A1 - Method and system for recognizing and evaluating road characteristics by means of a vehicle - Google Patents

Abstract

The invention describes a method for recognizing and evaluating road surface characteristics, in particular road bumps, by means of a vehicle, comprising the following steps: g) acquiring first lane data using a first sensor of the vehicle; h) acquiring first vehicle data, at least including one position of the vehicle, by means of a second sensor of the vehicle; i) transmission of the first lane data and the first vehicle data to a data processing system by means of a communication link; j) assignment of first environmental data to the first lane data and the first vehicle data according to the position of the vehicle and thereby receiving a first data set; k) comparison of the first data set with a second data set which is made available by means of the data processing system, and determination of at least one deviation value; l) recognition and evaluation of roadway characteristics based on the first roadway hand data and the first vehicle data if the at least one deviation value falls below a predetermined stored deviation value assigned to the deviation value.

Description

The invention relates to a method for recognizing and evaluating roadway characteristics, in particular uneven road surfaces, by means of a vehicle and a system for carrying out such a method.

Methods are known from the prior art by means of which road damage or road damage, for example in the form of potholes, cracks, erosions or the like, is recognized by means of a motor vehicle. For this purpose, the sensors of an existing driver assistance system are preferably used and the recorded data is stored on the motor vehicle. This has the disadvantage that the data relating to road damage. are only available locally on the corresponding motor vehicle and cannot be accessed by other vehicles or higher-level institutions.

It is therefore the object of the present invention to provide a method and a system by means of which the disadvantages of the prior art can be eliminated. This object is achieved on the one hand by a method according to claim 1 and a system according to claim 14.

1. a) Erfassen von ersten Fahrbahndaten mittels eines ersten Sensors des Fahrzeugs;
2. b) Erfassen von ersten Fahrzeugdaten, mindestens umfassend eine Position des Fahrzeugs, mittels eines zweiten Sensors des Fahrzeugs;
3. c) Übermitteln der ersten Fahrbahndaten und der ersten Fahrzeugdaten an eine Datenverarbeitungsanlage mittels einer Kommunikationsverbindung;
4. d) Zuordnen von ersten Umgebungsdaten zu den ersten Fahrbahndaten und den ersten Fahrzeugdaten entsprechend der Position des Fahrzeugs und dadurch Erhalten eines ersten Datensatzes;
5. e) Vergleich des ersten Datensatzes mit einem zweiten Datensatz, welcher mittels der Datenverarbeitungsanlage zur Verfügung gestellt wird, und Bestimmen mindestens eines Abweichungswertes;
6. f) Erkennen und Bewerten von Fahrbahncharakteristiken basierend auf den ersten Fahrbahndaten und den ersten Fahrzeugdaten, falls der mindestens eine Abweichungswert einen dem Abweichungswert zugeordneten vorbestimmten gespeicherten Abweichungswert unterschreitet.

The present invention is based on the core idea of providing a method for recognizing and evaluating roadway characteristics, in particular road bumps, by means of a vehicle, comprising the method steps:

1. a) acquisition of first lane data by means of a first sensor of the vehicle;
2. b) acquiring first vehicle data, at least including a position of the vehicle, by means of a second sensor of the vehicle;
3. c) transmitting the first lane data and the first vehicle data to a data processing system by means of a communication link;
4. d) assigning first environment data to the first lane data and the first vehicle data in accordance with the position of the vehicle and thereby obtaining a first data set;
5. e) comparing the first data record with a second data record which is made available by means of the data processing system, and determining at least one deviation value;
6. f) Recognizing and evaluating roadway characteristics based on the first roadway data and the first vehicle data, if the at least one deviation value falls below a predetermined stored deviation value assigned to the deviation value.

The terms used are briefly explained below.

A vehicle within the meaning of the invention can be any motorized vehicle or vehicle operated by muscle power which is suitable for operation on lanes, roads, bicycle paths or the like. A roadway is accordingly preferably understood to be a road, a path, a bridge or the like that can be driven on by a vehicle.

A road characteristic is understood to mean in particular road unevenness. This includes, for example, potholes, cracks, erosion, decomposition, heat damage (so-called "blow up") or the like.

A data processing system in the context of the invention is to be understood as an IT infrastructure which in particular comprises a memory, computing power and, if applicable, application software.

According to the invention, road data are to be understood as meaning all data which ensure conclusions about road characteristics, in particular road unevenness. The lane data can therefore preferably be recorded by the vehicle as soon as the lane characteristic has a detectable effect on the vehicle, in particular when passing it.

Vehicle data are those data that relate to the vehicle. These can be, for example, data such as location, direction of travel, planned route, engine speed, fuel consumption, speed, vehicle dimensions, acceleration, distance to objects outside the vehicle and / or the like. The vehicle data are expressly not intended to be limited to these examples. The vehicle data include at least the position or location of the vehicle, preferably GPS coordinates. However, other position data are also conceivable which are suitable for determining the position of the vehicle exactly.

Environment data in the sense of the invention are to be understood as data which relate to the environment of the vehicle at the position at which the roadway characteristics were recorded. This can preferably be weather data, construction site information, road information, such as the existing road surface, or the like. The Ambient data preferably include sensor data or stored information that is preferably stored on the data processing system and / or made available by external systems / data processing systems

A sensor in the sense of the invention can be an active and / or passive sensor, preferably a mechanical, thermoelectric, resistive, piezoelectric, capacitive, inductive, optical and / or magnetic sensor and particularly preferably a microphone, level sensors, GPS -Sensor, and / or acceleration sensors. A present sensor provides sensor data or data. A sensor of the vehicle is preferably a sensor that is arranged in or on the vehicle. Such a sensor can be part of the vehicle or be integrated in and / or on the vehicle, for example as part of a driver assistance system, or can be attached subsequently, preferably reversibly, in and / or on the vehicle. A subsequently attached sensor can be, for example, a smartphone and / or a tablet, which is mounted on a bicycle, for example, and advantageously comprises suitable sensors.

A communication link according to the present invention is preferably a cordless or wireless connection, the wireless or wireless connection preferably being selected from a group comprising Bluetooth, WLAN, NFC, ZigBee, Wibree and Wi-MAX. The communication link is not intended to be limited to these examples and can also be any other suitable type of connection. It is conceivable that the communication link is part of a C-IST system (“Cooperative Intelligent Transport Systems”). The communication connection is preferably established by a transmission unit.

A data set according to the invention comprises roadway data, vehicle data and environmental data, the individual data still being readable or comparable with the corresponding data of a further data set. The creation or generation of a data record should preferably simplify the further processing of the data contained therein.

In the following, a deviation value is understood to mean a value for a deviation that is determined by comparing at least two data sets which include road data, vehicle data and environmental data, with road data being compared with road data, vehicle data with vehicle data and environmental data with environmental data and the respective deviations or differences determined. A deviation or a difference can be a difference, for example. The lane data, vehicle data and environmental data preferably include sensor data, data of the same sensor types or measured variables being advantageously compared and their deviations from one another being determined.

The lane data and the vehicle data should preferably be recorded by means of at least one corresponding sensor. It is possible here for the roadway data and vehicle data to include several sensor data or measured variables.

Statements and descriptions in connection with the first lane data, the first vehicle data and / or the first environmental data should apply mutatis mutandis to the second lane data, the second vehicle data and / or the second environmental data.

According to the invention, the recorded first lane data and the associated recorded first vehicle data are transmitted to the data processing system by means of the communication link. This means that the data can be used by other vehicles or higher-level institutions, such as the city, which plans and carries out repair or improvement measures.

Depending on the number of participating vehicles, the method can lead to a large number of data, which is why it is important to check the plausibility of the data before it is further used or made available to other parties. The first lane and first vehicle data are therefore assigned current first environmental data, which are selected or used on the basis of the position of the vehicle (contained in the vehicle data). The first environmental data or the contained measured variables and / or information preferably have an effect on the recorded first lane data or the contained measured variables at the respective position of the vehicle and are therefore included in the plausibility check. The first environmental data preferably includes weather data, such as temperature, humidity, type and amount of precipitation, existing construction measures, type of road surface or the like. It is conceivable that there is a temporary construction site at the detected position of the vehicle. Corresponding construction site measures, soiling, milled edges or the like can generate roadway characteristics or corresponding first roadway data that are only temporary and that are not actual roadway damage. Furthermore, the weather situation can have an influence on the first road data, e.g. if a pothole is filled with water, ice and / or snow in rain or in winter, different data is recorded than in dryness.

The first data record obtained, which comprises the recorded first lane data and first vehicle data as well as the first environmental data corresponding to the position of the vehicle, are compared with a second data record. The second data record is made available by the data processing system, the second data record preferably being stored in the data processing system. At least one deviation value is determined from the comparison of the first and second data records. The at least one deviation value is preferably determined on the basis of the first roadway data, the first vehicle data and / or the first environmental data. The deviation value can preferably be determined depending on the measured variable or information to be compared. It is conceivable that the deviation value is determined by forming the difference for suitable measured variables or by “available” / “not available”, for example in the case of construction site information.

In the next step, roadway characteristics are recognized and evaluated based on the first roadway data and the first vehicle data. However, this only takes place if the at least one deviation value falls below a predetermined stored deviation value assigned to the deviation value. Accordingly, a stored deviation value for the determined deviation value is preferably present on the data processing system. This stored deviation value is assigned to the determined deviation value in accordance with the compared data. Deviation values are advantageously available for all known and relevant data (road data, vehicle data and environmental data) as far as possible. The stored deviation values can be selected and changed individually and adapted to the compared data accordingly. This can be done, for example, by the operator of the data processing system and / or the higher-level institution which continues to use the roadway characteristics.

By means of the method according to the invention, first roadway data which have an excessively high deviation value can be sorted out even before the associated roadway characteristics are recognized and determined. As a result, first road data that are only assigned to temporary road bumps, such as road contamination, precipitation on the road and / or construction site measures, or caused by deliberate manipulation, can be recognized and at least initially excluded from further processing.

If more than one deviation value is determined by comparing the first data set and the second data set, a predetermined stored deviation value is / is assigned to each of the determined deviation values. As a result, several predetermined deviation values are stored on the data processing system.

The first lane data and the first vehicle data are preferably anonymized before being transmitted to the data processing system.

Further preferably, the first lane data and the first vehicle data are deleted by the vehicle from a memory unit and / or computing unit of the vehicle after they have been transmitted to the data processing system. This will reduce the storage capacity used.

It is also conceivable that the first lane data, which are to be sent to the data transmission unit, are sent automatically from a predetermined size or from a predetermined size of the measured value that was recorded by the first sensor. The first vehicle data which are sent to the data processing system are preferably recorded at the point in time at which the first lane data were recorded, which are sent to the data processing system together with the first vehicle data. The first vehicle data can be recorded continuously and / or temporarily for the point in time at which the first lane data to be transmitted were recorded.

According to a preferred embodiment, the second data record was obtained earlier than the first data record, the second data record comprising second roadway data, second vehicle data and second environmental data. The current first data set can thus be compared with an already existing second data set and a corresponding deviation value can be determined. A plausibility assessment of the current data can thus be carried out on the basis of data that have already been appropriately compared / checked. The second data set preferably comprises second road data, second vehicle data and second environment data, which can advantageously be compared with the first road data, first vehicle data and / or first environment data and thus a deviation value in each case from the first road data, first vehicle data and first environment data in comparison the corresponding second lane data, second vehicle data and second environment data can be determined.

By comparing the first lane data with the second lane data, the first vehicle data with the second Vehicle data and the first environment data with the second environment data are each determined a deviation value. Also preferably, a deviation value can be determined by each comparison of the individual sensor data contained in the roadway data, vehicle data and environmental data.

According to a preferred embodiment, the first roadway data and the second roadway data relate to an unevenness in the roadway. The first roadway data and the second roadway data preferably include an acceleration value, a pressure value and / or a height value. In this way, uneven road surfaces can be detected and road surface characteristics can be determined particularly easily and with frequently used sensors.

According to a preferred embodiment, the first vehicle data and the second vehicle data include a position, a speed value, a mass value and / or a direction of travel, the position of the vehicle preferably being GPS coordinates. The position of the vehicle can generally be determined by means of a global satellite navigation system (GNSS) such as GPS, GLONASS, Galileo or the like. The vehicle data mentioned have an effect on the recording of the roadway data and are therefore advantageous for the further detection and determination of the roadway characteristics,

According to a preferred embodiment, the first environmental data and the second environmental data include a temperature value, a humidity value, a wind speed, precipitation information, a floor covering information, a traffic volume and / or a construction site location. The environmental data have an effect on the roadway data, which are determined by means of sensors, and are therefore relevant to correctly and comparably recognize and determine the roadway characteristics.

It is also possible that the first lane data and / or the first vehicle data as well as the assigned environmental data are provided with a date and / or time before they are transmitted to the data processing system or when they are received by the data processing system (so-called "time stamp"). . In this way, the first data can in each case be compared with the most recent available second data and a possible development of the roadway characteristics over time can also be observed.

According to a preferred embodiment, when comparing the first data record with the second data record, the first lane data are compared with the second lane data, the first vehicle data with the second vehicle data and the first environment data with the second environment data. The preferred comparison ensures that the relevant ones are compared with one another and corresponding deviation values can be determined. It is further preferred that first data are compared with second data which comprise the same measured variable (related to the corresponding sensor) or information in order to be able to carry out a meaningful comparison.

According to a preferred embodiment, the second lane data and the second vehicle data were transmitted to the data processing system by the vehicle and / or by another vehicle. The second lane data and the second vehicle data can be older data from the same vehicle and / or data from another vehicle. Furthermore, it is also conceivable that the second data record includes several second lane data and second vehicle data that were recorded by several vehicles.

According to a preferred embodiment, when comparing the first data set with the second data set, the second data set is selected such that no deviation value can be determined by comparing the first vehicle data with the second vehicle data and the first environment data with the second environment data. That is, the first vehicle data correspond to the second vehicle data and the first environment data correspond to the second environment data. In this way, it can be ensured that the recorded first lane data can be compared with second lane data which were recorded under very similar, ideally the same, conditions with regard to the vehicle and the environment. A development of the road characteristics can thus be determined particularly advantageously.

According to a preferred embodiment, the first sensor comprises an acceleration sensor, a ride height sensor or a microphone and the second sensor a GPS sensor, a speed sensor, a mass sensor and / or a position sensor, the first sensor and the second sensor being arranged in or on the vehicle . The first sensor is preferably arranged on a rim of a tire of the vehicle. As already mentioned, such a sensor can be part of the vehicle or be integrated in the vehicle, for example as part of a driver assistance system, or can be attached subsequently, preferably reversibly, in and / or on the vehicle. The preferred sensor types are particularly suitable for this purpose Detect road bumps and are also widespread.

According to a preferred embodiment, if the at least one deviation value falls below the predetermined stored deviation value assigned to the deviation value, the first data set is stored by means of the data processing system and can be reused. The stored first data records are correspondingly second data records, which in turn can be compared with currently recorded first data records.

According to a preferred embodiment, if the at least one deviation value exceeds the predetermined stored deviation value assigned to the deviation value, the first data record is deleted by means of the data processing system or stored on the data processing system for a predetermined period of time. In this way, data records or the included first lane data, first vehicle data and assigned first environmental data can be prematurely deleted in order to save storage capacity and reduce the amount of data to be handled. Corresponding first data sets whose deviation values exceed the specified deviation values are particularly preferably stored in the data processing system for a predetermined period of time. The time period can be variably determined, for example, by the operator of the data processing system or a higher-level institution.

According to a preferred embodiment, the stored first data set is stored by the data processing system if the at least one deviation value falls below the predefined stored deviation value assigned to the deviation value when compared with a predefined number of further first data sets within the predetermined period of time. In this way, a first data set, which when compared with an older second data set still had a deviation value that was too large, can fall below the predetermined stored deviation value when compared with a more recent first data set and can be used to identify and determine vehicle characteristics. This is particularly useful if the road characteristics or the first road data suddenly change very strongly. This can be the case if a pothole is temporarily filled, for example by precipitation, or if heat damage (“blow up”) occurs on a motorway. Such current first lane data, which deviate greatly from the older second lane data, result in a large deviation value and would not be included in the lane characteristics. By means of the preferred embodiment, these road data can be subsequently identified as “plausible” by comparison with further current first road data. In the event that no comparison of this stored first data record within the predetermined time window with current first data records results in a deviation value that falls below the predetermined deviation value, the stored first data record is deleted from the data processing system. The number of comparisons which must result in a deviation value that is below the stored deviation value can be determined variably and can be selected as desired. A stored first data record corresponds accordingly to a second data record.

In this context, it is also conceivable that a first data set, whose at least one deviation value exceeds the predetermined stored deviation value assigned to the deviation value, is stored on the data processing system for a predetermined number of comparisons with current first data sets, the stored first data set after a predetermined number on comparisons in which the determined deviation value exceeds the predetermined stored deviation value is deleted.

According to a preferred embodiment, the identification comprises a type of the roadway characteristic and the assessment comprises an expression of the roadway characteristic. One type of roadway characteristic is to be understood as a distinction between potholes, cracks, wear and tear, erosion, heat damage or the like. An expression of the roadway characteristic can preferably be a division on a scale, for example from 1 to 10, where 1 is minor roadway damage and 10 is very severe roadway damage. In this case, it can preferably be specified from which level of a roadway characteristic repair measures must / should be initiated. Such repair measures can advantageously be combined with further repair measures, for example electrical lines, water and / or sewers, in order to reduce costs and time.

The recognized and determined roadway characteristics can preferably be displayed in a further step as map information in a digital map. This digital map can, for example, be displayed on a navigation system in a vehicle and thus indicate disadvantageous roadway characteristics, such as potholes.

It is also conceivable that the first environmental data are partially recorded by the vehicle and also transmitted to the data processing system by means of the communication connection. This can be, for example, a temperature or amount of precipitation that can be detected by the vehicle by means of a suitable sensor of the vehicle. These environmental data are preferably supplemented by the data processing system with additional environmental data that are present on the data processing system, whereby the first environmental data are obtained.

Furthermore, it is preferred that a development of the roadway characteristics over time is determined by comparing the previously determined roadway characteristics for a position / location with one another. Thus, a possible deterioration in the road surface characteristics over time can be associated with a possibly causative event, such as a higher volume of traffic, an increase in the average vehicle dimensions (more truck traffic), a changed traffic route, a new road surface and / or new traffic signs respond accordingly.

As already mentioned, the lane characteristics can be viewed and used by higher-level institutions, such as authorities, in order to be able to initiate or plan and / or foresee appropriate repair measures at the necessary positions.

The underlying object is also achieved by a system for carrying out the described method, the system comprising a vehicle with a first sensor for capturing first lane data, a second sensor for capturing first vehicle data, a communication link and a data processing system.

The characteristics that are described for the procedure should apply mutatis mutandis to the system and vice versa.

Further advantageous embodiments emerge from the subclaims.

• 1 System zur Erkennung und Bewertung von Fahrbahncharakteristiken mittels eines Fahrzeugs gemäß einer bevorzugten Ausführungsform;
• 2 Verfahren zur Erkennung und Bewertung von Fahrbahncharakteristiken mittels eines Fahrzeugs gemäß einer bevorzugten Ausführungsform.

Further objects, advantages and expediencies of the present invention can be inferred from the following description in conjunction with the drawing. Here show:

• 1 System for recognizing and evaluating roadway characteristics by means of a vehicle according to a preferred embodiment;
• 2 Method for recognizing and evaluating road characteristics by means of a vehicle according to a preferred embodiment.

In 1 a system (100) according to a preferred embodiment of the invention is shown, comprising a vehicle 1 with a first sensor 3 , a second sensor 5 , a tire 16a and a rim 16b , where the first sensor 3 and the second sensor 5 , within the tire circumference on the rim 16b are arranged. Furthermore, there is a roadway characteristic 11 shown in the form of a pothole. In addition, are a data processing system 6 and another vehicle 15th , in the form of a bicycle, with a third sensor 17a and a fourth sensor 17b shown.

The vehicle 1 is shown here only schematically and only includes the essential components, shown as tires in order to maintain clarity. It can be the tire of any vehicle. Furthermore, the sensors can also be arranged at a different location in and / or on the vehicle.

The other vehicle 15th is shown by way of example, also schematically, as a bicycle, with only the crucial rear part with the sensors being shown. The sensors 17a , 17b can for example be contained in a smartphone, which is simply reversibly attached to the frame of the bicycle for the duration of the journey. The sensors 17a , 17b but can also be permanently integrated into the bike.

Using the first sensor 3 , preferably an acceleration sensor, a microphone or a ride height sensor, are first roadway data 2 detected. The lane data 2 are according to this embodiment when passing the road characteristics 11 detected, the first sensor 3 the road characteristics 11 registered in the form of a measurement signal / sensor signal and as roadway data 2 issues.

The second sensor 5 , preferably for location detection, for example a GPS sensor, records first vehicle data 4th . The first vehicle data can preferably 4th are continuously recorded and each recorded first lane data 2 assigned as soon as they are recorded, or the first vehicle data 4th can be recorded at the time when the first lane data 2 are recorded. This depends advantageously on the type of sensor 3 , 5 For example, a GPS sensor preferably continuously tracks the position / location of the vehicle 1 detected. This is also preferable in connection with a navigation system.

The sensors 3 , 5 are arranged together in this embodiment, it is also possible to use the sensors 3 , 5 to be arranged separately in different places in and / or on the vehicle.

It is also conceivable that several first sensors 3 , preferably different sensor types or types, are provided in order to determine first roadway data, wherein the different measurement signals / sensor signals would be contained in the first roadway data and can be called up individually. It is also conceivable that several second sensors 5 are provided in and / or on the vehicle, which record various data relating to the vehicle, which in the first vehicle data 4th are summarized, but can still be called up individually.

Preferably by means of a transmission unit (not shown) of the vehicle, which together with the sensors 3 , 5 or can be arranged separately in or on the vehicle, the vehicle can be by means of a communication link 7th , in particular a wireless connection, the first lane data 2 and the first vehicle data 4th to the data processing system 6 to transfer. The dates are preferred 2 , 4th anonymized before transmission.

The data processing system 6 arranges the first lane data 2 and the first vehicle data 4th according to a position of the vehicle 1 which is contained in the first vehicle data, first environment data 8th to that, preferably on the data processing system 6 present as stored information or by means of the data processing system 6 can be accessed by other external systems. For example, weather data on a transmitted position of the vehicle could be 1 , included in the first vehicle data 4th , can be retrieved from an external weather service. However, it is also conceivable that relevant current environmental data 8th that have to be called up frequently, automatically from appropriate external systems to the data processing system 6 sent and stored by it.

The data processing system 6 generated from the first road data 2 , the first vehicle data 4th and the associated first environment data 8th a first record 9 , with each data 2 , 4th , 8th remain readable. This first record 9 is by means of the data processing system 6 with a second record 10 which second lane data 12 , second vehicle data 13 and second environment data 14th includes, compared. The first roadway data are preferred based on the comparison 2 with the second lane data 12 , the first vehicle data 4th with the second vehicle data 13 and the first environment data 8th with the second environment data 14th comparable. It is conceivable that the second lane data 12 and the second vehicle data 13 at an earlier point in time from the vehicle 1 to the Dante processing facility 6 were sent (as the first lane data and first vehicle data) or, for example, from the further vehicle 15th , accordingly by means of the third sensor 17a and the fourth sensor 17b detected, by means of a communication link 7th between the other vehicle 15th and the data processing system 6 to the data processing system 6 were transmitted (as shown in this embodiment). The first data set is preferred 9 or the first lane data 2 and the first vehicle data 4th as well as the first environmental data 8th with the most recent second data set 10 or the most recent second lane data 12 and second vehicle data 13 and second environmental data 14th compared that on the data processing system 6 exist. For this purpose, the first roadway data preferably include 2 and / or the first vehicle data 4th and the second lane data 12 and / or the second vehicle data 13 or the first record 9 and the second record 10 a date and / or a time at which the data 2 , 4th , 12 , 13 each recorded or the data records 9 , 10 generated.

From the comparison of the first data set 9 with the second record 10 at least one deviation value can be determined. If the at least one specific deviation value falls below a predetermined stored deviation value assigned to the deviation value, then based on the first roadway data 2 and the first vehicle data 4th the road characteristics 11 recognized and determined.

The recognized and determined road characteristics 11 can then be entered as map information on a digital map, for example, and made accessible to potential users.

According to 2 is a method for the detection and evaluation of road characteristics 11 by means of a vehicle 1 shown according to a preferred embodiment.

The vehicle passes in a step S1 1 a roadway characteristic, for example a pothole, with first roadway data in a step S6 2 by means of a first sensor 3 and first vehicle data 4th by means of a second sensor 5 are recorded.

The first lane data 2 and the first vehicle data 4th are in a step S3 by means of a communication link 7th to a data processing system 6 transmitted.

The data processing system S4 arranges the first lane data 2 and the first vehicle data 4th according to a position of the vehicle 1 , which as part of the first vehicle data 4th to the data processing system 6 was transmitted, first environmental data 8th to. From the first lane data 2 , the first vehicle data 4th and the first environmental data 8th becomes a first record 9 received or generated.

In a step S5, the first data record 9 by means of the data processing system 6 with a second record 10 compared. The second record 10 is used by the data processing system 6 provided and preferably includes second roadway data 12 , second vehicle data 13 and second environment data 14th , where the second record 10 before the first record 9 was obtained or the second roadway data 12 and the second vehicle data 13 before the first lane data 2 and the first vehicle data 4th recorded and sent to the data processing system 6 were transmitted. From the comparison of the first data set 9 and the second data set 10 at least one deviation value is determined.

In a step S6, it is determined whether the deviation value falls below a predetermined stored deviation value assigned to the deviation value.

If the deviation value falls below the predetermined stored deviation value assigned to the deviation value, the first Dante set is made in a step S7 9 or the first lane data 2 , the first vehicle data 4th and the first environment data 8th from the data processing system 6 saved and based on the first lane data 2 and the first vehicle data 4th a road characteristic 11 recognized and determined.

If the deviation value does not fall below the predetermined stored deviation value assigned to the deviation value, the first data record is 9 according to the embodiment shown in a step S8 on the data processing system 6 deposited.

In a step S9, the stored first data record 9 compared with a current first data set and at least one deviation value is determined.

The current first data record is preferably a data record that was received at a later point in time or whose lane data and vehicle data contained therein were recorded at a later point in time than the first lane data 2 and first vehicle data 4th of the first record 9 .

In a step S10, it is determined whether the deviation value falls below a predetermined stored deviation value assigned to the deviation value. This predetermined stored deviation value preferably corresponds to the predetermined stored deviation value from step S6. However, it would also be conceivable for another predetermined stored deviation value to be assigned to the deviation value.

If the deviation value falls below the predetermined stored deviation value assigned to the deviation value, the stored first Dante record is stored in step S7 9 or the first lane data 2 , the first vehicle data 4th and the first environment data 8th from the data processing system 6 saved and based on the first lane data 2 and the first vehicle data 4th a road characteristic 11 recognized and determined.

If the deviation value does not fall below the predetermined stored deviation value assigned to the deviation value, the stored first data record is used 9 according to the embodiment shown in a step S11 from the data processing system 6 deleted.

It is possible for steps S9 and S10 to be repeated several times and for the stored first data record 9 is compared in each case with another current first data set and it is determined in each case whether the determined deviation value falls below the predetermined stored deviation value assigned to the deviation value. In this way, for example, a certain number of underflows can be determined, in which the stored first data record goes to step S7 and / or a certain number of overruns is determined in step S10, upon reaching the stored first data record finally according to step S11 is deleted.

All features disclosed in the application documents are claimed as essential to the invention, provided that they are new to the state of the art, individually or in combination.

List of reference symbols

1

vehicle

2

first lane data

3

first sensor of the vehicle

4th

first vehicle data

5

second sensor of the vehicle

6th

Data processing system

7th

Communication link

8th

first environment data

9

first record

10

second record

11

Road characteristics

12

second lane data

13

second vehicle data

14th

second environment data

15th

another vehicle

16a

Vehicle tires

16b

Vehicle rim

17a

third sensor of the further vehicle

17b

fourth sensor of the further vehicle

Claims (14)

Method for recognizing and evaluating road characteristics (11), in particular uneven road surfaces, by means of a vehicle (1), comprising the method steps: a) acquisition of first lane data (2) by means of a first sensor (3) of the vehicle (1); b) acquisition of first vehicle data (4), at least including a position of the vehicle, by means of a second sensor (5) of the vehicle (1); c) transmission of the first lane data (2) and the first vehicle data (4) to a data processing system (6) by means of a communication link (7); d) assigning first environment data (8) to the first lane data (2) and the first vehicle data (4) in accordance with the position of the vehicle and thereby obtaining a first data set (9); e) comparing the first data record (9) with a second data record (10) which is made available by means of the data processing system (6) and determining at least one deviation value; f) Recognition and evaluation of roadway characteristics (11) based on the first roadway data (2) and the first vehicle data (4) if the at least one deviation value falls below a predetermined stored deviation value assigned to the deviation value. Procedure according to Claim 1 , characterized in that the second data set (10) was received before the first data set (9), the second data set (10) comprising second roadway data (12), second vehicle data (13) and second environment data (14). Procedure according to Claim 2 , characterized in that the first roadway data (2) and the second roadway data (12) relate to an unevenness in the roadway and preferably include an acceleration value, a pressure value and / or a height value. Procedure according to Claim 2 or 3 , characterized in that the first vehicle data (4) and the second vehicle data (13) include a position, a speed value, a mass value and / or a direction of travel, the position of the vehicle (1) preferably being GPS coordinates . Procedure according to Claim 2 to 4th , characterized in that the first environmental data (8) and the second environmental data (14) include a temperature value, a humidity value, a wind speed, precipitation information, a floor covering information, a traffic volume and / or a construction site location. Procedure according to Claim 2 to 5 , characterized in that when comparing the first data set (9) with the second data set (10) the first lane data (2) with the second lane data (12), the first vehicle data (4) with the second vehicle data (13) and the first Environment data (6) are compared with the second environment data (14). Procedure according to Claim 2 to 6 , characterized in that the second lane data (12) and the second vehicle data (13) have been transmitted to the data processing system (6) by the vehicle (1) and / or by another vehicle (15). Procedure according to Claim 2 to 7th , characterized in that when comparing the first data set (9) with the second data set (10), the second data set (10) is selected so that by comparing the first vehicle data (4) with the second vehicle data (12) and the first environment data (6) with the second environment data (14) no deviation value can be determined. Procedure according to Claim 1 to 8th , characterized in that the first sensor (3) comprises an acceleration sensor, a ride height sensor or a microphone and the second sensor (5) comprises a GPS sensor, a speed sensor, a mass sensor and / or a position sensor, the first sensor (3 ) and the second sensor (5) are arranged in or on the vehicle (1), the first sensor (3) is preferably on a rim (16b) of a tire (16a) of the vehicle (1). Method according to one of the Claims 1 to 9 , characterized in that the first data set (9), if the at least one deviation value falls below the predetermined stored deviation value assigned to the deviation value, is stored by means of the data processing system (6) and can be reused. Method according to one of the Claims 1 to 10 , characterized in that the first data set (9), if the at least one deviation value exceeds the predetermined stored deviation value assigned to the deviation value, is deleted by means of the data processing system (6) or is stored on the data processing system (6) for a predetermined period of time. Procedure according to Claim 11 , characterized in that the stored first data set (9) is stored by the data processing system (6) if, within the predetermined period of time, when compared with a predetermined number of further first data sets (11 '), the at least one deviation value matches the predetermined value assigned to the deviation value stored deviation value. Method according to one of the Claims 1 to 2 , characterized in that the recognition comprises a type of the lane characteristic (11) and the evaluation comprises an expression of the lane characteristic (11). System (100) for carrying out a method according to one of the Claims 1 to 13 , comprising a vehicle (1) with a first sensor (3) for acquiring first lane data (2), a second sensor (5) for acquiring first vehicle data (4), a communication link (7) and a data processing system (6).

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