DE102022001772A1 - Vehicle surface analysis device and method for vehicle surface analysis - Google Patents

Abstract

The invention relates to a vehicle surface analysis device, comprising an object recording unit (1) with an image camera (2) for recording primary object points, a position camera unit (4) with two position cameras (5, 6) for recording secondary object points and an evaluation unit (7), wherein the object recording unit (1) and the position camera unit (4) are arranged in a fixed positional relationship to one another and are designed to move relative to the vehicle (3), the direction of movement of the relative movement deviating from the optical axes of the position cameras (5, 6), and where the evaluation unit (7) is connected to the object recording unit (1) and the position camera unit (4) and is designed to provide the first image recording and the first position recording with a first time stamp and the second image recording and the second position recording with a second time stamp, a secondary one To identify the object point of the vehicle (3) based on the position recording and to assign coordinates (x, y) and (x', y') to this identified secondary object point and to assign the primary object points from the first image recording to the primary object points from the second image recording and based on the assigned primary object points to provide a final image recording. Furthermore, the invention relates to a method for vehicle surface analysis.

Description

The invention relates to a vehicle surface analysis device and a method for vehicle surface analysis, with which even surfaces that are difficult to detect optically can be imaged in high quality.

The state of the art describes the measurement of the vehicle surface in various design variants and methods.

Vehicle surfaces, particularly of passenger cars, have large proportions of painted or glass surfaces, the optical detection of which is difficult for an assessment of the condition and for fault detection. Such surfaces are poor in clear and significant image features. In addition, reflections from these surfaces can pose a risk of misinterpretation during automated image analysis.

It is known from the prior art to record the surfaces of vehicles in three dimensions. Three-dimensional detection is carried out by scanning the surface with image cameras, laser, infrared or ultrasonic sensors. The point cloud created in this way is then expanded into a continuous surface through interpolation. A possible disadvantage of these solutions arises from the resolution of the measurement method. If the scanning resolution is chosen too low, small discontinuities in the surface cannot be sufficiently resolved. Excessively high resolutions during measurement, in turn, require very long measurement times and a very high computational requirement for interpolation.

Furthermore, the use of stereo cameras is known from the prior art. The stereo cameras, positioned parallel to each other at a defined distance, each take an image of the same detection area. 3D images can also be calculated from the parallax of assigned pixels. The disadvantage here is that the assignment requires significant image points, which cannot always be guaranteed with reflective and feature-poor surfaces.

For example, a solution that provides high-quality vehicle surface analysis is provided by EP 3 775 764 B1 described. The vehicle to be analyzed is positioned here on a rotatable platform and recorded with a plurality of individual detection systems in different angular positions, with the detection results of the individual detection systems being assigned to a uniform coordinate system. However, the implementation of this high-quality solution is technically very demanding.

The object of the invention is to provide a reliable and cost-effective device and a method for high-quality vehicle surface analysis.

The object is achieved in relation to the device by the features listed in claim 1 and in relation to the method by the features listed in claim 5. Preferred further developments result from the respective subclaims.

The vehicle surface analysis device according to the invention has an object recording unit, a position camera unit and an evaluation unit.

The object recording unit has at least one image camera, which has an image camera detection area and is designed so that a vehicle can be detected at least in sections.

The object recording unit is designed to record primary object data from primary object points of the vehicle at a first time as a first image recording and at a second time as a second image recording.

The primary object points in the sense of the present invention are the object points of the vehicle surface, of which an image is to be created as a result. These are the object points of interest and to be analyzed. This includes, in particular, vehicle surface sections with few features but still quality-critical, such as painted surfaces.

For the purposes of the present invention, primary object data is understood to be the data obtained through image recordings or other recordings of the primary object points.

The image captured at the first time is referred to in the present case as the first image capture and the image captured at a second time that differs from the first time is referred to as the second image capture.

The image camera is preferably equipped with a very high optical resolution so that very detailed images can be recorded.

Another basic component is the position camera unit. The position camera unit has two position cameras. The first position camera has a first position camera operator detection area and the second position camera has a second position camera detection area.

The position camera detection areas detect at least sections of the vehicle.
The position cameras are designed to capture secondary object data from secondary object points of the vehicle.

The secondary object points in the sense of the present invention are the object points of the vehicle surface that are used to carry out position referencing of the vehicle. The secondary object points can therefore be understood as auxiliary object points. While the primary object points are inevitably predetermined by the sections of the vehicle surface of interest, the secondary object points can be selected according to criteria of expediency, in particular the criterion of good optical detectability. This identifies the change in position resulting from the relative movement between the first and second recordings using clearly identifiable features. The vehicle underbody, for example, has advantageously low reflections and a high density of object points with significant features. Such object points are also referred to below as robust object points. However, it cannot be ruled out that in special cases the primary object points can also be secondary object points.

The first position camera is designed to record secondary object data from secondary object points of the vehicle at a first point in time. This is the first position recording. In a corresponding manner, the second position camera is designed to record secondary object data from secondary object points of the vehicle at a second point in time. This is then the second position recording. The two position recordings are based on a relative movement of the vehicle to the position camera unit. The position recordings are therefore recordings of the secondary object points at different times and with different positions of the vehicle.

The object recording unit and the position camera unit are in a fixed positional relationship to one another. Preferably, the cameras or systems of the object recording unit and the position cameras are stationary or mounted on a common frame.

The object recording unit and the position camera unit are designed for relative movement to the vehicle. The direction of relative movement deviates from the optical axes of the cameras. The direction of movement is preferably transverse, particularly preferably exactly orthogonal.

Relative movement is understood to mean that the vehicle to be analyzed moves along the device or that the device can preferably be moved exactly linearly to the vehicle.

The images by the object recording unit and the position camera unit are created at a certain angle to the direction of movement. The vehicle is thus picked up from the side or from above or below.

The evaluation unit is connected to the object recording unit and the position camera unit. This is further designed to provide the first image recording and the first position recording with a first time stamp, hereinafter also referred to as the first image recording time stamp and the first position recording time stamp, and the second image recording and the second position recording with a second time stamp, hereinafter also referred to as the second image recording time stamp and the second position recording time stamp .

Furthermore, the evaluation unit is designed to identify a secondary object point of the vehicle based on the first position recording and to assign coordinates (x, y) to this identified secondary object point. In addition, the evaluation unit is designed to recognize the identified secondary object point of the vehicle based on the second position recording and to assign coordinates (x', y') to this secondary object point. This means that all the information is available to determine a positional distance between the secondary object point in the first and second position recording.

• - der Zeitstempel,
• - eines in der Auswertungseinheit hinterlegten Abstands zwischen dem ersten und dem zweiten Positionskameraerfassungsbereich,
• - einer Winkelposition des identifizierten Objektspunkts in der ersten und zweiten Positionsaufnahme,

den Positionsabstand zu bestimmen.The evaluation unit is designed accordingly, by means of

• - the timestamp,
• - a distance stored in the evaluation unit between the first and the second position camera detection area,
• - an angular position of the identified object point in the first and second position recording,

to determine the position distance.

Based on the position distance, the evaluation unit can then assign the primary object points from the first image recording to the primary object points from the second image recording and based on the primary ones assigned to each other Object points from both image recordings provide a final image recording.

The final image capture thus combines the image information from the first and second image captures. Insufficient quality object data on certain primary object points, for example from the first image recording, can be compensated for by better object data on the same primary object points from the second image recording and vice versa. According to the invention, if the vehicle has a different relative position at the time of the first image capture than at the time of the second image capture, there is a high probability that, for example, reflections from a specific primary object point are only present in one of the two image captures. Furthermore, high-quality object data from both image recordings can also be combined, so that these primary object points in the final image recording can have a significance that goes beyond a regular image recording.

The evaluation unit is preferably designed as a processor-controlled system that is set up to electronically process the image data. In particular, it can be a computer. For this purpose, the evaluation unit can execute defined program routines, some of which are supported by artificial intelligence. The evaluation unit preferably has machine learning capabilities. Here, the program routines for image recognition are refined with each run in a self-learning process. This significantly increases the possibility of automatically detecting potentially defective areas on the vehicle surface.

The vehicle surface analysis device according to the invention therefore has the following advantages in particular.

The primary object points from several recordings can advantageously be superimposed on one another. An image with significantly more information about the object points that are difficult to detect, hereinafter also referred to as problematic object points, can thus be provided. As an example, reflections on the surface would only be present in one image in the series of exposures. The reflections would not be present in the further recordings of the same series and this means that these disturbing influences can be eliminated.

It is particularly advantageous here that reliable detection and analysis of even problematic object points is made possible based solely on optical detection by detecting robust object points as an auxiliary measure.

In particularly advantageous developments, several image cameras can also be present and the device can also have more than two position cameras. Furthermore, the device can also be designed for more than two image recordings and more than two position recordings. Different angular positions of the recordings can also be used.

According to an advantageous development, the vehicle surface analysis device is characterized in that the evaluation unit is further designed based on the time stamp of the position recordings, the distance between the first and the second position camera detection area and the angular position of the identified object point in the first and second position recordings in addition to the position distance and the speed to determine the relative movement of the vehicle. Starting from a constant speed, there is a defined distance-time relationship. Using the time stamp of the image recordings, the position can be determined for each image recording.

This can advantageously be interpolated in the area between the position recordings and extrapolated before and after. The spatial arrangement of the position cameras and the object recording unit relative to one another can therefore be largely freely chosen depending on the constructive expediency.

According to an advantageous development, the vehicle surface analysis device is characterized in that the optical axes of the position cameras are arranged in parallel. This arrangement simplifies the image recognition process because the two images only differ in the vehicle position and not in the perspective. This means that the theory of parallax can be applied directly and the complexity of the calculation is simplified, which significantly speeds up the process.

According to a further advantageous development, the vehicle surface analysis device is characterized in that the optical axes of the position cameras and the optical axis of the image camera are arranged in a plan plane transverse to the relative movement of the vehicle.

This arrangement simplifies the evaluation since the first image recording and the first position recording as well as the second image recording and the second position recording can each take place at the same time. This captures the Position cameras preferably view the vehicle underbody from below or diagonally from below, while the image camera is aimed at the vehicle from above, for example.

• - TOF-Kamera,
• - Infrarotkamera,
• - Lasertriangulationssystem,
• - Musterlichtsprojektionssystem,
• - Deflektometriesystem,
• - Reflektometriesystem,

aufweist.According to a next advantageous development, the vehicle surface analysis device is characterized in that the object recording unit has at least one individual recording unit from the group:

• - TOF camera,
• - Infrared camera,
• - laser triangulation system,
• - pattern light projection system,
• - deflectometry system,
• - reflectometry system,

having.

The various detection systems are advantageously optimized for a specific type of detection. The TOF cameras, the infrared camera and the laser triangulation system are designed more for the shaping parts of the vehicle body, as they can examine envelope contours for parts made of sheet metal or similar based on clouds of measuring points. Whereas the pattern light projections, the deflectometry systems and the reflectometry systems are used more for precise examination of the finish layer. Particularly advantageously, the object recording unit can also have several of the systems mentioned at the same time and thus provide a particularly meaningful vehicle surface analysis.

1. a) Erfassen von primären Objektdaten von primären Objektpunkten des Fahrzeugs (3) mittels der Bildkamera (2) zu einem ersten Zeitpunkt als eine erste Bildaufnahme und Übertragen an die Auswertungseinheit (7) und Erzeugen eines ersten Bildaufnahmezeitstempels,
2. b) Erfassen von sekundären Objektdaten von sekundären Objektpunkten des Fahrzeugs (3) mittels der ersten Positionskamera (5) zu einem ersten Zeitpunkt als eine erste Positionsaufnahme und Übertragen an die Auswertungseinheit (7) und Erzeugen eines ersten Positionsaufnahmezeitstempels,
3. c) Durchführen einer Relativbewegung des Fahrzeugs (3) zu der Objektaufnahmeeinheit (1) und der Positionskameraeinheit (4),
4. d) Erfassen von primären Objektdaten von primären Objektpunkten des Fahrzeugs (3) mittels der Bildkamera (2) zu einem zweiten Zeitpunkt als eine zweite Bildaufnahme und Übertragen an die Auswertungseinheit (7) und Erzeugen eines zweiten Bildaufnahmezeitstempels,
5. e) Erfassen von sekundären Objektdaten von sekundären Objektpunkten des Fahrzeugs (3) mittels der zweiten Positionskamera zu einem zweiten Zeitpunkt als eine zweite Positionsaufnahme und Übertragen an die Auswertungseinheit (7) und Erzeugen eines zweiten Positionsaufnahmezeitstempels,
6. f) Identifizieren eines sekundären Objektpunkts des Fahrzeugs (3) anhand der ersten Positionsaufnahme und Zuordnen von Koordinatendaten (x, y),
7. g) Erkennen des identifizierten sekundären Objektpunkts anhand der zweiten Positionsaufnahme und Zuordnen von Koordinatendaten (x', y,'),
8. h) Bestimmen eines Positionsabstands mittels
   • - der Koordinatendaten des sekundären Objektpunkts x, y und x', y',
   • - eines Abstands zwischen dem ersten und dem zweiten Positionskameraerfassungsbereich und
   • - einer Winkelposition des identifizierten Objektspunkts in der ersten und zweiten Positionsaufnahme,
9. i) Durchführen einer Zuordnung von den primären Objektpunkten aus der ersten Bildaufnahme zu den primären Objektpunkten aus der zweiten Bildaufnahme anhand des Positionsabstand,
10. j) Erzeugen einer finalen Bildaufnahme mittels der primären Objektpunkte aus der ersten und aus der zweiten Bildaufnahme.

A further aspect of the invention relates to a method for vehicle surface analysis using the object detection unit, the position camera unit and the evaluation unit, comprising the following method steps:

1. a) capturing primary object data from primary object points of the vehicle (3) by means of the image camera (2) at a first time as a first image recording and transmitting it to the evaluation unit (7) and generating a first image recording time stamp,
2. b) detecting secondary object data from secondary object points of the vehicle (3) by means of the first position camera (5) at a first time as a first position recording and transmitting it to the evaluation unit (7) and generating a first position recording time stamp,
3. c) carrying out a relative movement of the vehicle (3) to the object recording unit (1) and the position camera unit (4),
4. d) acquiring primary object data from primary object points of the vehicle (3) by means of the image camera (2) at a second time as a second image recording and transmitting it to the evaluation unit (7) and generating a second image recording time stamp,
5. e) detecting secondary object data from secondary object points of the vehicle (3) by means of the second position camera at a second time as a second position recording and transmitting it to the evaluation unit (7) and generating a second position recording time stamp,
6. f) identifying a secondary object point of the vehicle (3) based on the first position recording and assigning coordinate data (x, y),
7. g) recognizing the identified secondary object point based on the second position recording and assigning coordinate data (x', y,'),
8. h) Determine a position distance using
   • - the coordinate data of the secondary object point x, y and x', y',
   • - a distance between the first and the second position camera detection area and
   • - an angular position of the identified object point in the first and second position recording,
9. i) performing an assignment of the primary object points from the first image recording to the primary object points from the second image recording based on the position distance,
10. j) Generating a final image recording using the primary object points from the first and second image recordings.

The description content of the device according to the invention applies in a corresponding manner to the method according to the invention, taking into account the following aspects.

The basic principle of the method is advantageously to create a panoramic image of a vehicle surface from joined-together position-referenced individual images as a vehicle drives through. Here, several, at least two, sequential image recordings are created, with a relative movement of the vehicle being carried out between the times of the recordings. Furthermore, secondary object points are recorded as robust object points with the position camera unit as a second system, so that a reliable assignment of at least one secondary object point from two Position recordings can be made at different times and information about a position distance is therefore available. Based on this position distance, the primary object points from the at least two sequential image recordings can then be assigned to one another, so that more image information is available for generating a final image recording than with a simple image recording.

• d1) Erfassen von primären Objektdaten von primären Objektpunkten des Fahrzeugs (3) mittels der Bildkamera (2) zu einem weiteren Zeitpunkt als eine weitere Bildaufnahme und Übertragen an die Auswertungseinheit (7) und Erzeugen eines weiteren Bildaufnahmezeitstempels,
• h1) Bestimmen einer Geschwindigkeit der Relativbewegung mittels
  • - der Koordinatendaten des sekundären Objektpunkts x, y und x', y',
  • - der Zeitstempel,
  • - des Abstands zwischen dem ersten und dem zweiten Positionskameraerfassungsbereich und
  • - der Winkelposition des identifizierten Objektspunkts in der ersten und zweiten Positionsaufnahme,
• h2) Bestimmen eines weiteren Positionsabstands mittels
  • - der Geschwindigkeit der Relativbewegung
  • - des weiteren Bildaufnahmezeitstempels
• i1) Durchführen einer Zuordnung von den primären Objektpunkten aus der weiteren Bildaufnahme zu den primären Objektpunkten aus der ersten und zweiten Bildaufnahme,

According to an advantageous development of the method according to claim 5, the vehicle surface analysis device is characterized in that it has the following further method steps:

• d1) capturing primary object data from primary object points of the vehicle (3) by means of the image camera (2) at a further time as a further image recording and transmitting it to the evaluation unit (7) and generating a further image recording time stamp,
• h1) Determine a speed of the relative movement using
  • - the coordinate data of the secondary object point x, y and x', y',
  • - the timestamp,
  • - the distance between the first and the second position camera detection area and
  • - the angular position of the identified object point in the first and second position recording,
• h2) Determine a further position distance using
  • - the speed of the relative movement
  • - the additional image recording timestamp
• i1) performing an assignment of the primary object points from the further image recording to the primary object points from the first and second image recording,

The advantageous development of the method is further characterized in that in method step j) the generation of the final image recording is carried out using the primary object points from the first, the second and the further image recording.

According to this development, the speed of the relative movement, which is preferably a uniform movement with a constant speed, is determined, so that the positioning of the position cameras and the image camera or other systems are largely independent of one another. The distance-time relationship known from the speed can be used to assign multiple image recordings at different positions.

It is advantageously possible to use the time stamp to record one or more image recordings between the vehicle positions or times of the position recordings as well as extrapolating before the vehicle position or the time of the first position recording and / or after the vehicle position or the time of the second position recording. According to this further development, the positions and times of the image recordings can advantageously be decoupled from the positions and times of the at least two position recordings.

In particular, according to this development, it is possible for the image camera to create a large number of strip-shaped image recordings in a quick sequence, the strip shape being aligned vertically and thus transversely to the direction of movement of the vehicle. Each of the image recordings only has to capture a strip-shaped section of the vehicle surface. The evaluation unit can then make an assignment based on the time stamp, so that the strip-shaped sections of the vehicle surface can be combined in the final image recording to form a panoramic image along a longer section or along the entire length of the vehicle. It also applies to all object points that are captured in this panoramic image that one and the same object point is captured in several image images in different angular positions and the image information complements and supports each other according to the invention to produce a high-quality final image image.

• 1 schematische Darstellung des Grundaufbaus
• 2 schematische Darstellung eines ersten Zustands
• 3 schematische Darstellung eines zweiten Zustands
• 4 schematische Darstellung der Zeitbeziehungen im Verfahren
• 5 schematische Darstellung der Zeitbeziehungen im Verfahren in einem anderen Ausführungsbeispiel

näher erläutert.The invention is illustrated as an exemplary embodiment using

• 1 schematic representation of the basic structure
• 2 schematic representation of a first state
• 3 schematic representation of a second state
• 4 Schematic representation of the time relationships in the process
• 5 Schematic representation of the time relationships in the method in another exemplary embodiment

explained in more detail.

The same reference numbers in the different figures refer to the same features or components. The reference numbers are used in the description even if they are not shown in the relevant figure.

The 1 describes the basic structure of an exemplary embodiment of the vehicle surface analysis device.

As a first basic component of the vehicle surface analysis device, an object recording unit 1 with the associated image camera 2 is arranged above a route for a vehicle 3. The image camera detection area 2a of the image camera 2 is aligned so that the vehicle width can be completely spanned.

Furthermore, the position camera unit 4 is arranged on the underside or side. This consists of a first and a second position camera 5, 6. These are arranged one after the other in the direction of travel. The first and second position camera detection areas 5a, 6a include a section of the vehicle underbody, but not the entire length of the vehicle.

The position cameras 5, 6 and the image camera 2 are connected to the evaluation unit 7, which is designed as a computer.

When driving over the vehicle 3 via the position camera unit 4, first through the first position camera detection area 5a of the first position camera 5 and subsequently through the second position camera detection area 6a of the second position camera 6, a special feature on the underbody of the vehicle 3 is detected by the evaluation unit 7. This feature can be, for example, the front boundary of the wheel arch. With the help of this feature, the speed and exact position of the vehicle 3 can be detected by the evaluation unit 7 from the time offset of the first position camera recording and the second position camera recording as well as the defined distance of the position cameras 5, 6.

The image camera 2 takes high-resolution images of the painted surface of the vehicle 3 in parallel. These image recordings of primary object points are provided with a time stamp so that a position can be indirectly indexed. The evaluation unit 7 then puts together an image of the vehicle 3 using the exact reference positions. In the present exemplary embodiment, the image recordings only capture a vertical strip and thus only partial sections of the vehicle surface. The image recordings of the subsections are combined by the evaluation unit 7 when generating the final image recording to form a panoramic image that captures the entire length of the vehicle 3.

The 2 and 3 show the same schematic structure of the vehicle surface analysis device as 1 , wherein the vehicle 3 is shown in different positions relative to the object recording unit 1 and to the position cameras 5, 6.

In 2 the vehicle 3 is at a first point in time in a starting position when entering the device. As a secondary object point, a feature on the vehicle underbody is recorded by the first position camera 5 and recognized by the evaluation unit 7. At the same time, the image camera 2 begins recording the high-resolution images of the primary object points.

The 3 represents the schematic structure of the vehicle surface analysis device in a later position of the vehicle 3 at a second time. The vehicle 3 is here shortly before leaving the device. The second position camera 6 has now also recorded the selected feature on the vehicle underbody and this has been detected by the evaluation unit 7. The evaluation unit 7 has calculated the positions for the individual images from the image camera 2. The object data from the multiple image recordings for the primary object points are assigned to the respective primary object points by the evaluation unit. All object data for a specific primary object point is summarized. The evaluation unit 7 puts together the final image recording from all of the object point-related object data and outputs it as a file.

4 shows an exemplary embodiment of the method in which the first image recording and the first position recording were recorded at the same time at time t image 1 = t position 1. The same applies to the same time of the second image recording and second position recording at time t image 2 = t position 2. The position distance is therefore immediately known.

5 shows an exemplary embodiment of the method in a further development. At a constant speed of the vehicle 3 in its relative movement, the path and the time behave proportionally, so that from the time relationship of the times of the position recordings t position 1 and t position 1 as well as from the time relationship to the times of the several image recordings t image 1, t image 2, t image 3 and t image 4 at the same time, using the speed, the positional distances of the four image recordings and thus the primary object points in the four image recordings are known to each other. The times of the recordings and the arrangement of the position cameras 5, 6 and the at least one image camera 2 can be selected according to constructive practicality aspects. In addition, the number of image recordings and position recordings are independent of each other.

Reference symbols used

1

Object recording unit

2

Image camera

2a

Image camera capture area

3

vehicle

4

Position camera unit

5

first position camera

5a

first position camera detection area

6

second position camera

6a

second position camera detection area

7

Evaluation unit

t

Time

t Figure 1

Time of first image capture

t picture 2

Time of a second image acquisition

t Figure 3

Time of a third image acquisition

t Figure 4

Time of a fourth image acquisition

t position 1

Time of a first position acquisition

t position 2

Time of a second position acquisition

QUOTES INCLUDED IN THE DESCRIPTION

This list of documents listed by the applicant was 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

• EP 3775764 B1 [0006]

Claims (7)

Vehicle surface analysis device having an object recording unit (1), a position camera unit (4) and an evaluation unit (7), wherein the object recording unit (1) has at least one image camera (2), which has an image camera detection area (2a), at least partially captures a vehicle (3) and for capturing primary object data from primary object points of the vehicle (3) at a first time as a first image recording and at a second time is designed as a second image recording, wherein the position camera unit (4) has a first position camera (5) and a second position camera (6), wherein the first position camera (5) has a first position camera detection area (5a), which detects the vehicle (3) at least in sections, and is designed to capture secondary object data from secondary object points of the vehicle (3) at a first time as a first position recording, and wherein the second position camera (6) has a second position camera detection area (6a), which detects the vehicle (3) at least in sections, and is designed as a second position recording for detecting secondary object data from secondary object points of the vehicle (3) at a second time , wherein the object recording unit (1) and the position camera unit (4) are arranged in a fixed positional relationship to one another and are designed to move relative to the vehicle (3), the direction of movement of the relative movement deviating from the optical axes of the position cameras (5, 6), and wherein the evaluation unit (7) is connected to the object recording unit (1) and the position camera unit (4) and is designed to provide the first image recording and the first position recording with a first time stamp and the second image recording and the second position recording with a second time stamp, to identify a secondary object point of the vehicle (3) based on the first position recording and to assign coordinates (x, y) to this identified secondary object point, to recognize the identified secondary object point of the vehicle (3) based on the second position recording and to assign coordinates (x') to this secondary object point , y') to be assigned by means of - the timestamp, - a distance between the first and the second position camera detection area - to determine a position distance from an angular position of the identified object point in the first and second position recording and, based on the position distance, to assign the primary object points from the first image recording to the primary object points from the second image recording and to provide a final image recording based on the assigned primary object points. Vehicle surface analysis device Claim 1 , characterized in that the evaluation unit (7) is designed to determine a speed of the relative movement by means of - the time stamp, - a distance between the first and the second position camera detection area - an angular position of the identified object point in the first and second position recording and based on the speed the relative movement and the time stamp to assign the primary object points from the first image recording to the primary object points from the second image recording. Vehicle surface analysis device Claim 1 , characterized in that the optical axes of the position cameras are arranged parallel to one another. Vehicle surface analysis device Claim 1 and 2 , characterized in that the optical axes of the position cameras (5, 6) and the optical axis of the image camera (2) are arranged in a plan plane transverse to the relative movement of the vehicle (3). Vehicle surface analysis device according to one of the preceding claims, characterized in that the object recording unit (1) has at least one individual detection unit from the group: - TOF camera, - infrared camera, - laser triangulation system, - pattern light projection system, - deflectometry system, - reflectometry system. Method for vehicle surface analysis, by means of the object recording unit (1), the position camera unit (4) and the evaluation unit (7) according to one of the preceding claims, comprising the following method steps: a) acquiring primary object data from primary object points of the vehicle (3) by means of the image camera ( 2) at a first time as a first image recording and transmitting it to the evaluation unit (7) and generating a first image recording time stamp, b) acquiring secondary object data from secondary object points of the vehicle (3) by means of the first position camera (5) at a first time as a first position recording and transmitting them to the evaluation unit (7) and generating a first position recording time stamp, c) carrying out a relative movement of the vehicle (3) to the object recording unit ( 1) and the position camera unit (4), d) acquiring primary object data from primary object points of the vehicle (3) by means of the image camera (2) at a second time as a second image recording and transmitting it to the evaluation unit (7) and generating a second image recording time stamp , e) detecting secondary object data from secondary object points of the vehicle (3) by means of the second position camera at a second time as a second position recording and transmitting it to the evaluation unit (7) and generating a second position recording time stamp, f) identifying a secondary object point of the vehicle ( 3) based on the first position recording and assigning coordinate data (x, y), g) recognizing the identified secondary object point based on the second position recording and assigning coordinate data (x', y,'), h) determining a position distance using - the coordinate data of the secondary object points x, y and x', y', - a distance between the first and the second position camera detection area and - an angular position of the identified object point in the first and second position recording, i) performing an assignment of the primary object points from the first image recording to the primary object points from the second image recording based on the position distance, j) generating a final image recording using the primary object points from the first and from the second image recording. Method for vehicle surface analysis Claim 5 , characterized in that this has the following further method steps: d1) detecting primary object data from primary object points of the vehicle (3) using the image camera (2) at a further point in time as a further image recording and transmitting it to the evaluation unit (7) and generating a further image recording time stamp, h1) determining a speed of the relative movement by means of - the coordinate data of the secondary object point x, y and x ', y', - the time stamp, - the distance between the first and the second position camera detection area and - the angular position of the identified object point in the first and second position recording, h2) - determining a further position distance by means of - the speed of the relative movement - the further image recording time stamp i1) carrying out an assignment of the primary object points from the further image recording to the primary object points from the first and second image recording, - and that in Method step j) the generation of the final image recording is carried out using the primary object points from the first, the second and the further image recording.

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