Robert Boschgmbh

Daimler Ag

Alexander Wuerz-Wessel

Jens Schick

Ulrich Seger

Alexander Maass

Rainer Moritz

Fridtjof Stein

Karsten Muehlmann

Uwe Franke

Paul Ruhnau

Dieter Joecker

Werner Knee

Bernhard Nixdorf

Maas Alexandre

Stefan Sickert

A color mask for an image sensor of a vehicle camera, the color mask having a matrix configuration of filter pixels having different spectral transmission behaviors, some filter pixels being transparent filter pixels, which are at least essentially uniformly transparent for optical light, and additional filter pixels being color pixels having a wavelength-selective transmission behavior, the color mask having a color pattern as a repeating configuration of filter pixels having a specific transmission behavior. The color mask has a central area having a first color pattern and a lower area and/or an upper area having a second color pattern, the first color pattern and the second color pattern being different, and the first color pattern containing transparent filter pixels.

Color mask for an image sensor of a vehicle camera

In an image processing method for a driver assistance system for detecting and classifying a portion of a predefined image element having a road sign in a digital image captured by an image sensor of the driver assistance system, first scale-invariant image features and their relative geometric arrangement with respect to one another are computed based on at least one image region of the digital image to be searched, after which a classifier compares the first scale-invariant image features and their relative geometric arrangement with respect to one another to stored and/or learned second scale-invariant image features and their relative geometric arrangement with respect to one another which are computed based on the at least one predefined image element.

Image processing method for a driver assistance system of a motor vehicle for detecting and classifying at least one portion of at least one predefined image element

A vehicle-based image acquisition system having an image sensor that has a characteristic curve assembled from linear segments. The system includes an arrangement for determining the distance of luminous objects imaged by the image sensor.

Image acquisition system and method for distance determination using an image recording system

A camera is described having an image capturing device, an evaluation and control unit and a storage unit, the evaluation and control unit analyzes an image sequence having at least two successively captured images recorded by the image capturing device to segment and stabilize at least one object to be recorded during the image recording. The evaluation and control unit ascertains a deliberate panning movement of the camera and compares it with ascertained movements of objects represented in the captured images, the evaluation and control unit determining at least one object as an object to be recorded, the ascertained movement of which is most consistent with the camera's ascertained panning movement, and the evaluation and control unit storing an image section of the image captured by the image capturing device in the storage unit which represents the at least one object to be recorded. Also described is a corresponding method.

Camera and corresponding method for selecting an object to be recorded

A method for detecting an optical structure from image sequences of an image recording system. An optical flow field is derived from the image sequences of the image recording system. The vectors of the optical flow field are broken down into components by projection onto a coordinate system of the image recorded by the image recording system. At least one component of the flow vectors is analyzed for a change of direction. The image elements containing a change of direction of a vector component are connected to form a curve.

Method for detecting an optical structure

A method and a device for determining the self-motion of a vehicle in an environment are provided, in which at least part of the environment is recorded via snapshots by an imaging device mounted on the vehicle. At least two snapshots are analyzed for determining the optical flows of image points, reference points that seem to be stationary from the point of view of the imaging device being ascertained from the optical flows. The reference points are collected in an observed set, new reference points being dynamically added to the observed set with the aid of a first algorithm, and existing reference points being dynamically removed from the observed set with the aid of a second algorithm.

Method for determining the self-motion of a vehicle

The invention relates to a vehicle () comprising at least one catadioptric camera (), which is mounted on the vehicle and which has an optical axis () and at least one first mirror () that is arranged on the optical axis. The optical axis () of the camera () is slanted relative to a vertical ().

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Stuttgart, Germany

Alexander Wuerz-Wessel