Conti Temic Microelectronic Gmbh

Conti Ternie Microelectronic Gmbh

Continental Autonomous Mobility Germany Gmbh

Georg Arbeiter

Johannes Petzold

Joerg Schrepfer

Stefan Milz

Markus Friebe

Rodrigo Garcia Marques

Sudhan Dhana Sekaran

Peerayut Khongsab

Martin Simon

Jörg Schrepfer

In a method of producing images of a stored three-dimensional model of the surroundings of a vehicle, the images are corrected for perspective. A camera picture is produced by a camera device of the vehicle, and is projected onto a projection surface in the surroundings model. A region relevant for driving is marked in the surroundings model and is projected onto a corresponding projection surface area of the projection surface. An image of the projection surface including the driving-relevant region projected onto the projection surface area is produced and output by a virtual camera that can move freely in the surroundings model.

Method and vehicle control system for producing images of a surroundings model, and corresponding vehicle

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.

Method and device for generating a vehicle environment view for a vehicle

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.

Method and device for generating a view around a vehicle for a vehicle

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.

Panoramic view system for a vehicle

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. The processing unit produces at least one image of the surroundings, having either at least a portion of the first vehicle image data associated with the overlap region, or at least a portion of the second vehicle image data associated with the overlap region, based in part on the determination of first image features whose projections lie in the overlap region of the ground plane, and on second image features whose projections lie in the overlap region of the ground plane.

Device for providing improved obstacle identification

In a method for determining a transition between two display images, a two-dimensional initial image is mapped by first and second mapping functions respectively onto first and second mapped images, and the first and second mapped images are mapped respectively onto a first display image. The initial image is mapped by an interpolating mapping function onto an interpolating mapped image in the model space, wherein the interpolating mapped image is determined by interpolation of the first and second mapped images as a function of an interpolation parameter. The initial image, mapped by the interpolating mapping function onto the interpolating mapped image, is mapped onto an interpolating display image which transitions from the first display image to the second display image through variation of the interpolation parameter.

Method and device for determining a transition between two display images, and vehicle

In a method of generating continuous images of a stored three-dimensional surroundings model of a vehicle, a camera image is generated and projected onto a projection surface in the surroundings model, and continuous images of the projection surface are generated and output by a mobile virtual camera.

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Kueps, Germany

Georg Arbeiter