Abstract: A method for reducing abasing artefacts in an output image may include obtaining a plurality of input images captured by a plurality of cameras, each camera having a different field of view of an environment surrounding a vehicle, wherein the plurality of input images are mapped to the output image to represent the environment, from a predefined virtual point of view. The method may further include for each pixel position in the output image, obtaining a first pixel density value corresponding to a first output pixel position in the output image; and upon determining that the first pixel density value is higher than a threshold, calculating a first output brightness value corresponding to the first output pixel position based at least on a plurality of brightness values corresponding to a plurality of neighboring pixels of a corresponding position in a first input image of the plurality of input images.

Abstract: The invention relates to a method for providing an image representation (15) of an environment (7) of a vehicle (1), wherein the environment (7) of the vehicle (1) is captured at least partly, an image representation (15) of at least one first part (10a) of the captured environment (7) is provided within a defined viewport (10) from a defined perspective (11), wherein the image representation (15) includes a vehicle representation (14) representing the vehicle (1), and wherein the image representation (15) is displayed on a display device (12). Further, when providing the image representation (15) at least one second part (16a) of the captured environment (7) is represented in form of a mirrored image (18) of the at least one second part (16a) of the environment (7) on a defined region (17, 19, 20) of the vehicle representation (14).

Abstract: The present invention refers to a method for autonomously parking a current vehicle (40) along a trained trajectory (18), comprising the steps of driving a training vehicle (12) along the trajectory (18) and determining environment information along the trajectory (18), determining trajectory information based on the environment information for parking the current vehicle (40) along the trajectory (18), storing the trajectory information from the training vehicle (12) in a personal storage (34) associated to a driver, transferring the trajectory information from the personal storage (34) to the current vehicle (40), and parking the current vehicle (40) along the trained trajectory (18).

Abstract: The invention relates to a method for removing deposits on a lens (11) of a camera (9) of a motor vehicle (1), in which a contaminant present on the lens (11) is removed as the deposit, wherein a cleaning liquid (13) is applied to the lens by means of a washing device (12) for removing the contaminant, wherein a temperature of the lens (11) is determined and the application of the cleaning liquid (13) to the lens (11) is performed depending on the determined temperature.

Abstract: For driver assistance for a combination (8) with a motor vehicle (9) and a trailer (10), a first camera image (19) and a second camera image (20) are generated. A combined image (21) is generated by means of a computing unit (13) by superimposing the camera images (19, 20) such that the second camera image (20) covers a subsection of the first camera image (19), wherein a hitch angle (14) of the combination (8) is determined by means of the computing unit (13). State data of the combination (8) are determined by means of a sensor system (17) and it is determined whether the combination (8) moves forward or backward. The hitch angle (14) is determined based on the state data, if the combination (8) moves forward and based on a change of time-dependent image data, if the combination moves backward. A position of the subsection is determined depending on the hitch angle (14).

Abstract: Techniques are described for tracking a trailer, including obtaining a sequence of images from a camera positioned in rear of a vehicle, detecting the trailer and a tow-ball in the first image of the sequence of images using a trained learning model based on the first image and at least one scaled version of the first image, estimating an area of interest using a tracking algorithm and locations of the detected trailer and the tow-ball in the first image, estimating a distance between the vehicle and the trailer based on the detected location of the trailer in the first image, and upon determining that the distance between the vehicle and the trailer is less than a second threshold, continuously detecting locations of the trailer, tow-ball and a coupler in each image of the sequence of images using the learning model and the estimated area of interest, and updating the estimated area of interest to correspond to an area of interest in the following image, and actuating an action of the vehicle based on the de

Abstract: The invention relates to a camera (2) for a motor vehicle (1), including a housing (8) and a circuit board (9) and a retaining element (12), by which the circuit board (9) is retained in the housing (8), wherein the retaining element (12) has a first retaining flap (16) resilient in the direction perpendicular to a longitudinal axis (15) of the housing (8) and a second retaining flap (17) resilient in the direction perpendicular to the longitudinal axis (15), which engage with opposing border sides (20, 21) of the first circuit board (9), wherein the first retaining flap (16) is pressed to a first border side (20) of the first circuit board (9) by an inner side (28) of a first sidewall (24) of the housing (8) in perpendicular direction to the longitudinal axis (15) in the assembled final state of the camera (2), and the second retaining flap (17) is pressed to a second border side (21) of the first circuit board (9) by an inner side (29) of a second sidewall (25) of the housing (8) in perpendicular direction

Abstract: The present invention refers to a method for controlling a distance of a vehicle (10) to a closest preceding vehicle (60), whereby the vehicle (10) has a trailer (12) connected thereto, comprising the steps of determining a velocity of the vehicle (10), detecting a closest preceding vehicle (60), determining a distance (62) to the closest preceding vehicle (60), and determining a safe distance based on the velocity of the vehicle (10) and the distance (62) to the closest preceding vehicle (60), wherein the method further comprises determining an extra safe distance based on at least one characteristic of the trailer (12), and performing a control of the distance (62) to the closest preceding vehicle (60) to stay above the safe distance plus the extra safe distance. The present invention also refers to a driving assistance system (14) for a vehicle (10), which is adapted to perform the above method. The present invention further refers to a vehicle (10) with an above driving assistance system (14).

Abstract: An image processing method is operable in an image acquisition system comprising a camera arranged to capture successive images with a field of view, FOV of a portion of an environment surrounding a vehicle, the FOV intersecting a window of the vehicle comprising one or more heater elements that are visible within the FOV of the camera. The method comprises: obtaining an image; determining whether one or more sequences of pixels within the image corresponds to an image of a respective heater element, each pixel within the or each sequence of pixels having a colour and an intensity within respective thresholds; correcting, within the image, the or each sequence of pixels corresponding to a respective heater element by replacing pixel values for the or each sequence of pixels with pixel values derived from pixels which do not correspond with a heater element; and displaying the corrected image.

Abstract: The invention relates to a camera (4) for a motor vehicle (1), comprising a housing (9), which is formed from an electrically conductive material, a first printed circuit board (16), on which an image sensor (22) of the camera (4) is arranged (16), and at least two holding elements (18), which are connected to the first circuit board (16) and to the housing (9), wherein the first printed circuit board (16) is spaced apart from the housing (9) and is electrically connected to the housing (9) by means of the at least two holding elements (18), wherein the housing (9) comprises a front housing part (10) and a rear housing part (11), wherein the front housing part (10) and the rear housing part (11) are electrically connected to one another and wherein the front housing part (10) and the rear housing part (11) are connected to one another by means of a welded connection (44).

Abstract: The invention relates to a method for generating at least one merged perspective viewing image (24), which shows a motor vehicle (1) and its environmental region (4) from a dynamically variable perspective (P1, P2, P3) of a dynamic virtual camera (12) and which is determined based on raw images (25) of at least two cameras (5a, 5b, 5c, 5d) and based on a perspective model (17) of the motor vehicle (1), comprising the steps of: a) determining whether the merged perspective viewing image (24) comprises at least one disturbing signal afflicted image area, and if so, identifying the at least one disturbing signal afflicted image area; b) (S63) determining a severity of disturbing signals (27) within the at least one disturbing signal afflicted image area; c) (S61) determining a significance of the disturbing signals (27) in dependence on the perspective (P1, P2, P3) of the virtual camera (12); d) (S62) determining a degree of coverage of the disturbing signal afflicted image area by the model (17) of the motor ve

Abstract: A method for determining a state of a tailgate (9) of a pickup vehicle (1) by a camera system (2), includes capturing a cargo bed (5) of the pickup vehicle (1) in an image (8) captured by a camera (3), determining a first region of interest (ROI1) in the captured image (8) by an electronic computing device (4) of the camera system (2), wherein the first region of interest (ROI1) includes the potential tailgate (9) at least partially, determining a parameter optically characterizing the tailgate (9) depending on the captured image (8), analyzing the first region of interest (ROI1) with regard to the characterizing parameter, and determining a closed state of the tailgate (9) as state or determining an opened state of the tailgate (9) as state depending on the analysis of the first region of interest (ROI1). A computer program product, an electronic computing device (4) as well as a camera system (2) are also disclosed.

Abstract: A method for determining a current distance and/or a current speed of a target object relative to a motor vehicle based on an image of the target object, in which the image is provided by a camera of the motor vehicle, where characteristic features of the target object are extracted from the image and a reference point associated with the target object is determined based on the characteristic features for determining the distance and/or the speed, wherein the distance and/or the speed are determined based on the reference point, and a baseline is determined in the image based on the characteristic features, which is in a transition area from the depicted target object to a ground surface depicted in the image, and a point located on the baseline is determined as the reference point.

Abstract: A method for determining a camera parameter for a camera (3) of a camera system (2) of a pickup vehicle (1) includes capturing a cargo bed (5) of the pickup vehicle (1) in an image (18) captured by using the camera (3), determining at least one first cargo bed edge line of the cargo bed (5) by optical analysis of the captured image (18) by using an electronic computing device (4) of the camera system (3), providing a function parameter for a cost function (15) by analysis of at least one first cargo bed edge line by using a regression-analysis algorithm of a solver module (14) of the electronic computing device (4), and determining the camera parameter on the basis of the cost function (15) depending on the provided function parameter by using the electronic computing device (4). A computer program product, an electronic computing device (4) as well as a camera system (2) are also disclosed.

Abstract: The invention relates to a method for capturing an object (9) in an environmental region (8) of a motor vehicle (1) based on a sequence of images (10, 11) of the environmental region (8), which are provided by means of a camera (4) of the motor vehicle (1), including the steps of: recognizing a first object feature (24) in a first image (10) of the sequence, wherein the first object feature (24) describes at least a part of the object (9) in the environmental region (8), estimating a position of the object (9) in the environmental region (8) based on a predetermined movement model, which describes a movement of the object (9) in the environmental region (8), determining a prediction feature (26) in a second image (11) following the first image (10) in the sequence based on the first object feature (24) and based on the estimated position, determining a second object feature (25) in the second image (11), associating the second object feature (25) with the prediction feature (26) in the second image (11) if a

Abstract: The invention relates to a method for providing an image representation (15) of an environment (7) of a vehicle (1), wherein the environment (7) of the vehicle (1) is captured at least partly, an image representation (15) of at least one first part (10a) of the captured environment (7) is provided within a defined viewport (10) from a defined perspective (11), wherein the image representation (15) includes a vehicle representation (14) representing the vehicle (1), and wherein the image representation (15) is displayed on a display device (12). Further, when providing the image representation (15) at least one second part (16a) of the captured environment (7) is represented in form of a mirrored image (18) of the at least one second part (16a) of the environment (7) on a defined region (17, 19, 20) of the vehicle representation (14).

Abstract: A method is disclosed for detecting raised pavement markers in an environment of a vehicle by a camera system. The method includes capturing at least one first image of at least one first part of the environment by at least one first camera of the camera system and analyzing the at least one first image and determining whether at least one first pavement marker is present in the environment in dependency of a result of the analysis of the at least one first image. The method further includes capturing at least one second image of at least one second part of the environment by at least one second camera of the camera system and analyzing the at least one second image and determining whether the at least one first or at least one second pavement marker is present in the environment in dependency of a result of the analysis.

Abstract: The invention relates to a camera (4) for a motor vehicle (1), comprising a housing (9), which is formed from an electrically conductive material, a first printed circuit board (16), on which an image sensor (22) of the camera (4) is arranged (16), and at least two holding elements (18), which are connected to the first circuit board (16) and to the housing (9), wherein the first printed circuit board (16) is spaced apart from the housing (9) and is electrically connected to the housing (9) by means of the at least two holding elements (18), wherein the housing (9) comprises a front housing part (10) and a rear housing part (11), wherein the front housing part (10) and the rear housing part (11) are electrically connected to one another and wherein the front housing part (10) and the rear housing part (11) are connected to one another by means of a welded connection (44).

Abstract: A method for determining a state of a tailgate (9) of a pickup vehicle (1) by a camera system (2), includes capturing a cargo bed (5) of the pickup vehicle (1) in an image (8) captured by a camera (3), determining a first region of interest (ROI1) in the captured image (8) by an electronic computing device (4) of the camera system (2), wherein the first region of interest (ROI1) includes the potential tailgate (9) at least partially, determining a parameter optically characterizing the tailgate (9) depending on the captured image (8), analyzing the first region of interest (ROI1) with regard to the characterizing parameter, and determining a closed state of the tailgate (9) as state or determining an opened state of the tailgate (9) as state depending on the analysis of the first region of interest (ROI1). A computer program product, an electronic computing device (4) as well as a camera system (2) are also disclosed.

Abstract: A method for determining a camera parameter for a camera (3) of a camera system (2) of a pickup vehicle (1) includes capturing a cargo bed (5) of the pickup vehicle (1) in an image (18) captured by using the camera (3), determining at least one first cargo bed edge line of the cargo bed (5) by optical analysis of the captured image (18) by using an electronic computing device (4) of the camera system (3), providing a function parameter for a cost function (15) by analysis of at least one first cargo bed edge line by using a regression-analysis algorithm of a solver module (14) of the electronic computing device (4), and determining the camera parameter on the basis of the cost function (15) depending on the provided function parameter by using the electronic computing device (4). A computer program product, an electronic computing device (4) as well as a camera system (2) are also disclosed.