At least partially autonomously controllable vehicle, method, computer program and device for validating information about a restriction of a traffic area

Abstract

A device (100) for a vehicle (300) that is at least partially automatically controllable, the device (100) comprising: an interface (110) for receiving one or more initial pieces of information about a restriction by which a traffic area in a vicinity of the vehicle (300) is restricted to being navigable; a camera system (120) for capturing one or more second pieces of information about the restriction, wherein the camera system (120) is configured to capture the surroundings of the vehicle (300) within a vertical angle of at least 60° above a horizontal; and a data processing system (130) for comparing the first and second pieces of information for validating the first and / or the second pieces of information.

Description

[0001] The present invention relates to a vehicle that is at least partially autonomous, a method, a computer program and a device for validating information about a restriction of a traffic area.

[0002] The control of (partially) autonomous vehicles can rely on information about an environment that is stored in a map of the environment and / or is acquired by sensor systems, in particular distance measurement systems, which are intended for environment recognition for autonomous driving.

[0003] The information collected may be partially incomplete or inaccurate, making safe control of the (partially) autonomous vehicle impossible or impossible to guarantee. This can occur, for example, because parts of the environment surrounding a (partially) autonomous vehicle are obscured or undetectable by its sensor system, and / or because a map of the environment is partially incomplete or inaccurate. For instance, parts of the environment may be obscured by vegetation or infrastructure alongside a road, preventing a sensor system designed for autonomous driving from seeing the surroundings. Furthermore, in the case of sensor systems mounted on the roof of the (partially) autonomous vehicle, the sensor system's view of the environment may be temporarily and / or partially obstructed by cargo secured to the roof.

[0004] The state of the art is disclosed in DE 10 2017 207 463 A1, DE 10 2020 202 527 A1 and DE 10 2019 205 817 A1.

[0005] It can therefore be considered an object of the present invention to create an improved concept for validating information about a restriction of a traffic area in an environment of a (partially) automatically controlled vehicle.

[0006] This task can be solved using the independent and dependent claims mentioned herein.

[0007] According to a first aspect, the present invention relates to a device for a vehicle that is at least partially automatically controlled. The device comprises at least one interface for receiving one or more pieces of information about a restriction that limits the drivability of a traffic area in the vicinity of the vehicle, and a camera system for capturing one or more pieces of information about the restriction. Furthermore, the device comprises a data processing system for comparing the first and second pieces of information to validate the first and / or the second pieces of information.

[0008] The vehicle is, for example, a so-called "autonomous" vehicle or at least equipped with a system for partial automatic control of the vehicle.

[0009] The restriction refers, for example, to the width or height dimensions of vehicles.

[0010] The interface can be understood as a means of connecting to one or more data sources that provide the initial information. The interface includes, for example, a receiving unit for receiving this initial information. Furthermore, the interface can provide this initial information to the data processing system for validation.

[0011] The initial information can be captured by sensors or provided by a map of the environment.

[0012] The camera system can include one or more cameras for monitoring the environment. The second set of information is obtained, for example, from image data of the environment provided by the camera system. Appropriate machine vision or computer vision algorithms can be applied to this image data. The second set of information is obtained, for example, from the camera system's image data using image-based object localization. As is known to those skilled in the art, a triangulation method can be used for image-based object localization. The image data can comprise a single image or a sequence of images of the environment.

[0013] Furthermore, the camera system can be coupled with the data processing system to provide the second set of information to the data processing system for validation.

[0014] Comparing the first and second pieces of information can serve, in particular, to check / validate the plausibility, accuracy and / or completeness of the first and / or second pieces of information.

[0015] Depending on their plausibility, accuracy, and / or completeness, either the first or the second set of information can be used to make driving decisions. For this purpose, a so-called "OR logic" is used, for example.

[0016] Alternatively, a combination of the first and second pieces of information can be used to make driving decisions.

[0017] Prior validation of the first and / or second information can prevent driving decisions based on implausible, inaccurate and / or incomplete first and / or second information from leading to driving in a traffic area restricted for the vehicle, for example a tunnel or underpass that is too low for the vehicle.

[0018] In some embodiments, the restriction includes a height restriction.

[0019] In such embodiments, as will be explained in more detail later, it is possible to prevent the vehicle from entering the traffic area restricted by the height restriction if its vehicle height exceeds the height restriction.

[0020] Alternatively or additionally, the restriction may include a restriction regarding vehicle width.

[0021] In some embodiments, the first and / or the second pieces of information indicate the presence, position and / or at least a limit of the restriction.

[0022] The first and / or second pieces of information indicate, for example, whether the restriction is located within the vicinity. Alternatively or additionally, the first and / or second pieces of information specify, for example, the geographical coordinates of the vehicle's position or its distance from the restriction, and, for example, the traffic area, i.e., a specific section of road, to which the restriction applies. The boundary of the restriction refers, for example, to a height restriction or a width restriction, which is the maximum height a vehicle within the (restricted) traffic area is permitted to have. The height and width can be determined using the aforementioned image-based object localization.

[0023] In some embodiments, the initial information is provided, at least in part, by an electronic data storage device mounted on the vehicle.

[0024] The initial information comes, for example, from a map of the surroundings stored on the data storage device. The electronic data storage device is, for example, a hard drive or a storage medium for electronically storing and providing data.

[0025] In some embodiments, the initial information is at least partially captured by sensor-based traffic sign recognition.

[0026] Sensor-based traffic sign recognition allows traffic signs to be recorded and information about the signs to be extracted from the recordings / images. In this way, for example, the maximum permissible vehicle height and / or the distance to the height restriction can be determined.

[0027] The initial information about a restriction displayed on traffic signs may be incorrect or incomplete. Incorrect or missing initial information may be due to dirt or obstruction of the traffic sign.

[0028] In some embodiments, the initial information is provided at least partially by a sender separate from the vehicle, for example, a backend system.

[0029] The initial information is stored, for example, in an electronic data storage device separate from the vehicle and can be transmitted to the vehicle via the transmitter. In particular, the initial information can be transmitted wirelessly (e.g., via mobile network).

[0030] The initial information includes, for example, a map with details about restrictions in the vehicle's vicinity, which is transmitted from a so-called "cloud" to the vehicle via the transmitter.

[0031] In some embodiments, the initial information is at least partially captured by a distance measuring system.

[0032] The distance measurement system includes, for example, a lidar system, a radar system, or a 3D camera system (such as a time-of-flight camera). Measurement errors in the distance measurement system can lead to the initial information being faulty, inaccurate, or incomplete.

[0033] In some embodiments, the camera system is designed to capture the vehicle's surroundings within a vertical angle of at least 60° above a horizontal.

[0034] The camera system has suitable optics to capture the surroundings at a vertical angle of at least 60° above the horizontal. Suitable optics include, for example, a fisheye lens.

[0035] As is known to an expert, distance measuring systems which can be used for automated control of the vehicle during motorway or city driving have a field of view which captures the surroundings within an angle of less than 60° above the horizontal.

[0036] Therefore, the camera system is able, for example, to detect height restrictions, such as a bridge, from a shorter distance to the bridge than a distance measuring system.

[0037] Depending on the distance of the vehicle from the height restriction, the initial information obtained using such a distance measurement system may be incomplete, whereas the second information obtained using the camera system may be more precise and / or complete, or at least more comprehensive, at the same distance.

[0038] As a result of comparing / validating the first and second pieces of information, the second set of information can therefore be used to make driving decisions in such previously mentioned scenarios in order to prevent the vehicle from entering the traffic area in violation of regulations, contrary to the restriction.

[0039] In some embodiments, the camera system is specifically intended for monitoring the vehicle's surroundings for a parking assistance system.

[0040] The vehicle is already equipped with a camera system, for example, for the purposes of the parking assistance system. The camera system can be used, for instance, to monitor the distance (e.g., lateral distance) between the vehicle and surrounding obstacles while parking.

[0041] In this case, no separate camera system is needed for validation purposes.

[0042] For example, utilizing the camera system intended for the parking assistance system increases the system's functionality. This can lead to cost savings in the vehicle's manufacturing process.

[0043] In some embodiments, one camera of the camera system is attached to an exterior mirror of the vehicle.

[0044] The aforementioned distance measurement systems for the automated control of vehicles are, for example, mounted on the roof of the vehicle. Cargo secured to the roof can therefore restrict the field of view of such distance measurement systems. Consequently, the initial information obtained by these systems may be incomplete and / or erroneous.

[0045] In particular, if the camera system is intended for the parking assistance system, the camera can be mounted in the vehicle's side mirror. Such a positioning of the camera on the side mirror allows, for example, monitoring the lateral distance of the vehicle to obstacles (when parking and maneuvering). At the same time, with this positioning, the camera system's field of view is less restricted by cargo mounted on the roof than with the previously mentioned distance measurement systems.

[0046] The secondary information gathered by the cameras mounted on the side mirrors can therefore be more precise and comprehensive, and thus used to inform driving decisions. These cameras are used particularly for visual monitoring at very low speeds and accordingly have wide viewing angles (see DE 10 2012 018 326 B4). Comparing the primary and secondary information reveals, for example, that the primary information is incomplete or inaccurate. Consequently, the secondary information can be used to inform driving decisions.

[0047] In some embodiments, the camera system comprises a first camera and at least one second camera.

[0048] The camera system can therefore be understood as a stereo camera system. As an expert will understand, such a camera system can capture depth information about the surroundings. Accordingly, the second piece of information obtained with the camera system can, in particular, indicate the distance to the restriction, for example, to a tunnel or a bridge with a height restriction.

[0049] In some embodiments, the first piece of information is captured at a first distance between the vehicle and the traffic area. The camera system can be configured to capture the second piece of information at a second distance between the vehicle and the traffic area.

[0050] The interface captures the initial information obtained via traffic sign recognition about the height restriction of an underground parking garage entrance or the distance measuring system, for example at a distance of 50 m from the underground parking garage entrance.

[0051] For example, the camera system, due to its larger vertical field of view compared to the distance measuring system, is able to detect the underground parking garage entrance when the vehicle is directly in front of it, i.e., at a distance of 5 m from the underground parking garage entrance.

[0052] In such scenarios, the second set of information captured by the camera system can therefore be more up-to-date, more precise, and thus better for making driving decisions than the first set of information.

[0053] In some embodiments, the device includes a user interface for requesting confirmation of the first information and / or the second information from a vehicle occupant to validate the first information and / or the second information.

[0054] The user interface includes, for example, a screen to display the first and / or second information and an input field for the occupant, for example, a driver of the vehicle, to confirm the first and / or second information.

[0055] In the scenarios mentioned above, the driver of the vehicle can, for example, confirm that the secondary information about the height restriction captured by the camera system is correct and / or that the primary information is incorrect and / or incomplete. Consequently, the secondary information can be used to make the driving decision.

[0056] According to another aspect, the present invention relates to a vehicle that is at least partially automatically controllable. The vehicle comprises a device according to one of the previously mentioned embodiments.

[0057] According to a further aspect, the present invention relates to a method for operating a vehicle that is at least partially automatically controlled. The method comprises receiving one or more pieces of first information about a restriction that limits the drivability of a traffic area in the vicinity of the vehicle. Furthermore, the method provides for acquiring one or more pieces of second information about the restriction by means of a camera system and comparing the first pieces of information with the second pieces of information to validate the first pieces of information and / or the second pieces of information.

[0058] The method can be carried out in particular using the aforementioned device. Features of various embodiments described in connection with the device can therefore be applied analogously to the method.

[0059] According to another aspect, the present invention relates to a computer program which is adapted to perform the aforementioned method when executed on a processor.

[0060] Steps, operations, or processes of the procedure described above can be executed by programmed computers or processors. Examples may also include program storage devices, such as digital data storage media, that are machine-, processor-, or computer-readable and encode machine-, processor-, or computer-executable programs of instructions. The instructions execute some or all of the steps of the procedure described above or cause them to be executed. The program storage devices may include, for example, digital storage devices, magnetic storage media such as magnetic disks and magnetic tapes, hard disk drives, or optically readable digital data storage media.Other examples may also include computers, processors, or control units programmed to perform the steps of the procedure described above, or (field) programmable logic arrays ((F)PLAs = (Field) Programmable Logic Arrays) or (field) programmable gate arrays ((F)PGA = (Field) Programmable Gate Arrays) programmed to perform the steps of the procedure described above.

[0061] Some examples of embodiments of the invention are explained in more detail below with reference to the accompanying figures. These show: Fig. 1 a block diagram for the schematic representation of a device for validating information about a restriction of a traffic area; Fig. 2 a block diagram for the schematic representation of an exemplary embodiment of the device; Fig. 3 a first application of the device; Fig. 4a and Fig. 4b a second use case of the device; and Fig. 5 a flowchart for the schematic representation of a procedure for operating a vehicle that is at least partially automatically controlled.

[0062] Several embodiments will now be described in more detail with reference to the accompanying drawings, in which some embodiments are illustrated.

[0063] Although embodiments can be modified and altered in various ways, the embodiments shown in the figures are examples and are described in detail herein. It should be clarified, however, that the intention is not to limit embodiments to the forms disclosed, but rather that embodiments are intended to cover all functional and / or structural modifications, equivalents, and alternatives within the scope of the invention.

[0064] Fig. Figure 1 shows a device 100 for validating information about a restriction of a traffic area in a block diagram.

[0065] The device 100 comprises an interface 110, a camera system 120 and a data processing system 130. The device 100 can, in particular, be installed in a vehicle.

[0066] The data processing system 130, for example, is designed as a control unit of the vehicle.

[0067] Interface 110, for example, is designed as an interface to an electronic data storage device mounted on the vehicle, a transmitter separate from the vehicle, or a distance measuring system, each of which is intended to provide initial information about a restriction by which a traffic area in the vicinity of the vehicle is restricted to being drivable.

[0068] The 120 camera system can capture additional information about the restriction using one or more cameras. These cameras include, for example, RGB cameras, still cameras, video cameras, time-of-flight cameras, or other imaging devices.

[0069] The interface 110 and the camera system 120 are coupled to the control unit 130 for the transmission of the first and second information respectively, or at least can be coupled for transmission.

[0070] The control unit 130, for example, includes a processor for comparing the first and second pieces of information for the purpose of comparing the first and second pieces of information.

[0071] Fig. Figure 2 shows a block diagram of an embodiment of device 100.

[0072] In this embodiment of the device 100, the camera system 120 comprises several cameras for capturing the second piece of information.

[0073] The embodiment of the device 100 also includes several interfaces 110a, 110b and 110c for capturing part of the first information about the restriction.

[0074] The control unit 130 is connected, for example, to a distance measurement system with a lidar and / or radar sensor via interface 110a. The control unit 130 is connected, for example, to an electronic data storage device mounted on the vehicle via interface 110b. Interface 110b is a vehicle interface and represents, for example, a human-machine interface. This could be, for example, an emergency stop button or a touch panel with other functionalities that allow the human to intervene in the at least partially autonomously controlled vehicle. The control unit 130 is connected via interface 110c to a transmitter located separately from the vehicle using wireless communication. Interface 110c, as well as a receiver unit 140 for vehicle location tracking, is connected to the control unit 130 via a communication control unit 102.

[0075] The control unit 130 receives at least some of the initial information via interfaces 110a, 110b and 110c.

[0076] For example, part of the initial information received via interface 110a from the distance measurement system is determined from sensor data of the distance measurement system.

[0077] For example, part of the initial information received via interface 110b from the data storage device is derived from a map of the surroundings stored on the electronic data storage device. Using the receiver unit 140, the vehicle's position can be determined, so that, based on the map and the vehicle's position, the relative position of the vehicle and its restrictions to each other, contained in the initial information, can be determined.

[0078] Part of the initial information received by the transmitter via interface 110c is determined, for example, using sensors not belonging to the vehicle but attached to the transmitter. The transmitter could be, for example, another vehicle or a stationary sensor unit with its own sensors.

[0079] The initial information obtained using the distance measurement system or external sensors may be faulty, inaccurate, and / or incomplete due to measurement errors and / or unwanted influences. The initial information derived from the map may, as explained in more detail later, be outdated, inaccurate, faulty, and / or incomplete.

[0080] Comparing the first and second pieces of information allows, for example, a check of the information contained in the first and second pieces of information regarding the limitations for errors and / or incompleteness.

[0081] Depending on the comparison of the first and second pieces of information, driving decisions for controlling the vehicle can be made based on the first pieces of information, the second pieces of information, or a combination of these.

[0082] To implement driving decisions, the control unit 130 can actuate one or more actuators 150 to control the vehicle. The actuators 150 can, for example, control the steering, brakes, and / or engine to steer the vehicle.

[0083] Fig. Figure 3 shows a first application of the device 100.

[0084] Device 100 is, as in Fig. 3 shown, for example, mounted on an automatically controlled vehicle 300, which is approaching a traffic area with a height restriction due to an obstacle 160.

[0085] The camera system 120, or rather a camera of the camera system 120, is arranged laterally on the vehicle, in this example on an exterior mirror 310 of the vehicle 300. The camera is intended, for example, for use with a parking assistance system, for instance, to monitor the lateral distance of the vehicle 300 to obstacles when parking.

[0086] A distance measurement system 320 for capturing at least some of the initial information is installed on the roof of the vehicle 300. The purpose of the distance measurement system 320 is, in particular, to monitor the vehicle 300's surroundings in order to control the vehicle 300 based on this monitoring during journeys in urban areas, rural areas, and / or on highways. To provide sufficient spatial resolution for automatic control of the vehicle 300 at a greater distance, even with a pixel resolution equal to or lower than that of the camera system, the distance measurement system 320 may have a smaller vertical field of view 322 than the field of view 122 of the camera system 120. For example, the vertical angle of the field of view 122 above a horizontal is greater than the vertical angle of the field of view 322.

[0087] In the present first use case, the field of view 322 in the vertical direction is too small to detect the obstacle 160 at the distance between the vehicle 300 and the obstacle 160 present in this use case. The field of view 122 of the camera system 120, however, detects the obstacle 160. The obstacle 160 is, for example, part of a bridge.

[0088] The initial information obtained by means of the distance measuring system 320 (for example, maximum permissible height and / or position) regarding a height restriction by the bridge 160 is therefore incomplete.

[0089] The part of the initial information about this height restriction determined from the map may be outdated and therefore incorrect, for example if bridge 160 was built after a recent map update.

[0090] In contrast to the second set of information, the first set of details lacks, for example, information about the position and height of the height restriction imposed by bridge 160. Therefore, when making driving decisions based on the first set of details, the maximum permissible height defined by the height restriction may be incorrectly assessed or not assessed at all.

[0091] By comparing the first and second pieces of information, it can be determined that the second piece of information contains the details regarding the height and position of the height restriction that were missing from the first piece of information. Therefore, the second piece of information can be used to make driving decisions, for example, to prevent vehicle 300 from passing under bridge 160, even though the vehicle height of vehicle 300 exceeds the maximum permissible height.

[0092] The vehicle height is defined, for example, by the highest point of the vehicle (300). If cargo is mounted on the roof, the vehicle height can be determined by the highest point of the cargo. To determine the vehicle height, the driver can, for example, use a human-machine interface to indicate before starting the journey whether, and to what extent, the vehicle height deviates from a normal vehicle height due to cargo mounted on the roof.

[0093] Fig. 4a and Fig. Figure 4b shows a second use case of the device 100.

[0094] In the second use case, a route (in Fig. 4a (represented by arrow 410) indicates that vehicle 300 is turning right into a parking space. Traffic sign recognition, based on a first traffic sign 422 and a second traffic sign 424, indicates that a height restriction of 2.2 m applies after a right turn. The right-turn arrow, which is either obscured by debris or partially covered by a tree, poses a challenge for the traffic sign recognition algorithm. While the object is detected, the information from the traffic sign cannot be determined or may be incorrectly interpreted. Validation of the traffic sign is necessary.

[0095] As in Fig. As shown in 4b, the height restriction may be due to the obstacle 160.

[0096] Analogous to the first use case, the distance measuring system 320 is unable to detect the obstacle 160 in the second use case. The camera system 120 can detect the obstacle due to its larger vertical field of view 122 compared to the distance measuring system.

[0097] The initial information therefore comprises (only) data about the height restriction or the obstacle 160, determined by means of traffic sign recognition.

[0098] The second set of information acquired by the camera system 120 can, as the expert will understand, include more up-to-date and precise information about the position and traffic area of ​​the height restriction compared to the first set of information.

[0099] While the first piece of information merely indicates the existence and height of a height restriction, the second piece of information, for example, specifies in more detail individual areas of the parking lot that have a height restriction due to obstacle 160. As in Fig. As shown in section 4b, the height restriction applies to several parking areas within the car park. This cannot be determined from the initial information obtained using traffic sign recognition, for example.

[0100] By comparing the first and second pieces of information, it can be determined that the second set of information is therefore better suited than the first for navigating vehicle 300 in the parking lot. Using the second set of information, vehicle 300 can be navigated to a parking space without a height restriction if its height exceeds the 2.2 m height restriction of some of the parking spaces.

[0101] To avoid a collision with the obstacle 160, the control unit 130 can bring the vehicle 300 into a safe state by stopping the vehicle 300 before an impending collision.

[0102] The device 100 can be used in other scenarios, in particular in scenarios where the restriction cannot be detected by the distance measuring system, to control the vehicle 300 based on the second information obtained with the camera system 120.

[0103] Fig. Figure 5 shows a flowchart of a procedure 500 for operating a vehicle that is at least partially automatically controlled.

[0104] The procedure comprises receiving 510 one or more pieces of initial information about a restriction that limits the navigability of a traffic area in the vicinity of the vehicle. Furthermore, the procedure comprises acquiring 520 one or more pieces of secondary information about the restriction using a camera system and comparing 530 the initial information with the secondary information to validate the initial information and / or the secondary information.

[0105] The aspects and features described together with one or more of the previously detailed examples and figures can also be combined with one or more of the other examples to replace an identical feature of the other example or to additionally introduce the feature into the other example.

[0106] Furthermore, the following claims are hereby included in the detailed description, each claim being able to stand alone as a separate example. While each claim can stand alone as a separate example, it should be noted that—although a dependent claim may refer in the claims to a specific combination with one or more other claims—other examples may also include a combination of the dependent claim with the subject matter of any other dependent or independent claim. Such combinations are explicitly suggested here unless it is stated that a particular combination is not intended. Furthermore, features of a claim for any other independent claim are also to be included, even if that claim is not directly dependent on the independent claim. Reference sign 100 Device 102 Communication control unit 110 interface 110a interface 110b interface 110c interface 120 camera system 122 field of view 130 Data processing system 140 receiver units 150 actuators 160 Obstacle 300 vehicles 310 Exterior mirrors 320 Distance measuring system 322 field of view 410 Arrow / Route 422 traffic signs 424 traffic signs 500 procedures 510 Received 520 Capture 530 Compare

Claims

[1] A device (100) for a vehicle (300) that is at least partially automatically controllable, the device (100) comprising: an interface (110) for receiving one or more initial pieces of information about a restriction by which a traffic area in a vicinity of the vehicle (300) is restricted to being navigable; a camera system (120) for capturing one or more second pieces of information about the restriction, wherein the camera system (120) is configured to capture the surroundings of the vehicle (300) within a vertical angle of at least 60° above a horizontal; and a data processing system (130) for comparing the first and second pieces of information for validating the first and / or the second pieces of information. [2] Device (100) according to claim 1, wherein the restriction comprises a height restriction. [3] Device (100) according to claim 1 or 2, wherein the first and / or the second information indicates the presence, position and / or at least a limit of the restriction. [4] Device (100) according to one of the preceding claims, wherein the first information is provided at least partially by an electronic data storage device mounted on the vehicle (300). [5] Device (100) according to one of the preceding claims, wherein the first information is at least partially captured by sensory traffic sign recognition. [6] Device (100) according to one of the preceding claims, wherein the first information is provided at least partially by a transmitter separate from the vehicle (300). [7] Device (100) according to one of the preceding claims, wherein the first information is at least partially acquired by a distance measuring system (320). [8] Device (100) according to one of the preceding claims, wherein the camera system (120) is provided in particular for monitoring the surroundings of the vehicle (300) for a parking assistance system. [9] Device (100) according to one of the preceding claims, wherein a camera of the camera system (120) is attached to an external mirror (310) of the vehicle (300). [10] Device (100) according to one of the preceding claims, wherein the camera system (120) comprises a first camera and at least one second camera. [11] Device (100) according to one of the preceding claims, further comprising a user interface for querying an occupant of the vehicle (300) to confirm the first information and / or the second information for validating the first information and / or the second information. [12] A vehicle (300) that is at least partially automatically controllable, comprising a device (100) according to any one of the preceding claims. [13] A method (500) for operating a vehicle (300) that is at least partially automatically controlled, comprising the method (500): Receiving (510) one or more initial pieces of information about a restriction by which a traffic area in the vicinity of the vehicle is restricted to being navigable; Capture (520) one or more second pieces of information about the restriction by means of a camera system; and Comparing (530) the first piece of information with the second piece of information to validate the first piece of information and / or the second piece of information. [14] A computer program adapted to perform the method according to claim 13 when executed on a processor.

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