Abstract: A method for the content capture of an environment of a vehicle is disclosed. The method uses an artificial intelligence neural network, on the basis of a point cloud generated by an environment sensor of the vehicle. The method involves performing reference measurements by the environment sensor to capture reference objects depending on positions in the environment in relation to the environment sensor, generating confidence values depending on positions in the environment in relation to the environment sensor on the basis of the reference measurements by the environment sensor to capture the reference objects, training the artificial intelligence for the content capture of the environment on the basis of training point clouds for the environment sensor, capturing the environment by the environment sensor to generate the point cloud, and processing the point cloud generated by the environment sensor using the trained artificial intelligence for the content capture of the environment.

Abstract: The invention relates to a method for assisting a user in the remote control of a motor vehicle (2) by means of a remote-control device (3), wherein depending on sensor data (14) provided by means of at least one environment sensor (5, 6, 7, 8) of the motor vehicle (2) a first surroundings image (13) of at least one part (20) of the surroundings (9) of the motor vehicle (2) from a determined perspective (19) is provided and displayed by means of the remote-control device (3). In this case, the determined perspective (19) is selected from a plurality of selectable perspectives (19) as a perspective (19) that is independent of a position of the at least one environment sensor (5, 6, 7, 8), depending on a user input effected by the user and detected by means of the remote-control device (3).

Abstract: A method for generating a vehicle environment view involves: capturing camera images with vehicle cameras on a vehicle body of a vehicle; and calculating of the vehicle environment view based on the camera images. In the vehicle environment view, a texture of a non-visible region of a ground surface located under the vehicle body and not visible to the vehicle cameras is calculated based on texture data of a visible region of the ground surface that is visible to vehicles cameras and surrounds the non-visible region.

Abstract: A method of generating a vehicle environment view for a vehicle, having has the following steps. Camera images are provided by vehicle cameras on the body of the vehicle. A vehicle environment view is calculated based on the camera images. A texture of a ground surface that is located below the vehicle body and is not visible to the cameras, is determined within the vehicle environment view by performing a local color prediction and a movement-compensated texture prediction.

Abstract: A vehicle's panoramic view system includes a non-centered real camera that captures an image of surroundings, a virtual camera, an image processing unit, and a display unit that displays a geometric form overlaid over the captured image. The image processing unit projects the captured image onto a first plane perpendicular to the real camera to correct perspective distortions resulting from the camera's non-centered position, and projects the geometric form onto a second plane perpendicular to the virtual camera to represent the geometric form without distortion on the display unit. The image processing unit finds an affine transformation between the first and second planes by delta transformation between the real and virtual cameras, and applies the affine transformation to the first plane containing the projected distortion-corrected captured image, to align a modified representation of the image with the undistorted geometric form in the second plane.

Abstract: A device provides improved obstacle identification. A first camera acquires first vehicle image data and provides it to a processing unit. A second camera acquires and provides second vehicle image data. An image overlap region has at least a portion of the first vehicle image data and at least a portion of the second vehicle image data. The first and second vehicle image data extend over a ground plane and the image overlap region extends over an overlap region of the ground plane. The processing unit extracts first image features from the first vehicle image data and extracts second image features from the second vehicle image data. The processing unit projects the first and the second image features onto the ground plane.

Abstract: A method for generating a vehicle environment view, comprising the steps: providing (S1) of camera images (KB) by vehicle cameras (2) that are provided on a vehicle body (3) of a vehicle (F); and calculating (S2) of the vehicle environment view based on the provided camera images (KB), wherein a texture of a region of a ground surface located under the vehicle body (3) and not visible to the vehicle cameras (2) is calculated within the vehicle environment view subject to texture data of a region of the ground surface that is visible to the vehicle cameras (2) and surrounds the non-visible region of the ground surface.

Abstract: A panoramic view system for a vehicle includes at least one real camera (2) for capturing an image of the surroundings of the vehicle from non-centered position, a virtual camera (7), an image processing unit, and a display unit which is configured to represent, in a projected manner, the image captured by the real camera (2) and at least one geometric form (11 to 13) as an overlay over the captured image. The image processing unit is configured to project the captured image onto a first plane (9) perpendicular to the real camera (2) such that perspective distortions in the captured image resulting from the non-centered position of the real camera (2) are distortion-corrected, and to project the at least one geometric form (11 to 13) onto a second plane (10) perpendicular to the virtual camera (7) such that the at least one geometric form (11 to 13) is represented in an undistorted manner on the display unit (4).

Abstract: The present invention relates to a device for providing improved obstacle identification. Acquisition (210) of first vehicle image data with a first camera (20) is included. The first camera delivers (220) the first vehicle image data to a processing unit (40). Furthermore, acquisition (230) of second vehicle image data with a second camera (30) is included. An image overlap region exists, which has at least a portion of the first vehicle image data and at least a portion of the second vehicle image data. The first vehicle image data and the second vehicle image data extend over a ground plane and the image overlap region extends over an overlap region of the ground plane. The second camera delivers (240) the second vehicle image data to the processing unit. The processing unit extracts (250) first image features from the first vehicle image data and the processing unit extracts (260) second image features from the second vehicle image data.

Abstract: A method for generating a vehicle environment view, FUA, for a vehicle, having the following steps: (a) provision (S1) of camera images (KB) by vehicle cameras (2) which are provided on the body (3) of the vehicle; and (b) calculation (S2) of a vehicle environment view, FUA, of the vehicle on the basis of the provided camera images (KB), wherein a texture of a ground surface located below the vehicle body (3), which is not visible, is determined within the vehicle environment view, FUA, by means of local color prediction and movement-compensated texture prediction.

Abstract: Device and method for providing a vehicle surround view for a vehicle, which is located on a driving plane, comprising vehicle cameras, which provide camera images of a vehicle environment of the vehicle, a location-detection unit, which detects a change in location of at least one vehicle camera relative to the driving plane of the vehicle, and comprising an image data processing unit which projects the camera images provided by the vehicle cameras onto a projection surface to generate the vehicle surround view, which projection surface is adapted according to the detected change in location of the vehicle camera.

Abstract: A device for providing a vehicle environment view for a vehicle includes a plurality of vehicle cameras configured to provide camera images of a vehicle environment of the vehicle, and an image data processing unit configured, based on a detected movement space of at least one vehicle component of the vehicle and/or of the entire vehicle, to adapt a projection surface onto which the camera images provided by the vehicle cameras are projected to generate the vehicle environment view.

Abstract: A camera surround view system for a vehicle is provided. The camera surround view system includes at least one vehicle camera which supplies camera images that are processed by a data processing unit in order to generate an image of the surroundings. The image of the surroundings being displayed on a display unit, where the data processing unit re-projects textures, which are detected by the vehicle cameras, on an adaptive re-projection surface which is similar to the area surrounding the vehicle. The re-projection surface calculated based on sensor data provided by vehicle sensors.

Abstract: Device and method for providing a vehicle surround view for a vehicle, which is located on a driving plane, comprising vehicle cameras, which provide camera images of a vehicle environment of the vehicle, a location-detection unit, which detects a change in location of at least one vehicle camera relative to the driving plane of the vehicle, and comprising an image data processing unit which projects the camera images provided by the vehicle cameras onto a projection surface to generate the vehicle surround view, which projection surface is adapted according to the detected change in location of the vehicle camera.

Abstract: A device for providing a vehicle environment view for a vehicle includes a plurality of vehicle cameras configured to provide camera images of a vehicle environment of the vehicle, and an image data processing unit configured, based on a detected movement space of at least one vehicle component of the vehicle and/or of the entire vehicle, to adapt a projection surface onto which the camera images provided by the vehicle cameras are projected to generate the vehicle environment view.