Robert Boschgmbh

Wolfgang Niem

Bernd Mueller

Ulrich Kersken

Hanno Heyke Homann

Steffen Abraham

Stephan Simon

Hartmut Loos

Rolf Nicodemus

Kurt Eckert

Thomas Hogenmueller

Carsten Gebauer

Thorsten Huck

Ruediger-Walter Henn

Volker Blaschke

Wolfgang Niehsen

Armin Ruehle

Ulrich Schulmeister

Gerrit De Boer

Marcel Merkel

Jochen Wingbermuehle

Philipp Ibele

Axel Vogler

Heinz Tilsner

Tuelin Baysal

Sebastian Lindner

Jan Wolter

Bernd Anhaeupl

Stefan Mueller-Scheiders

Marcus Lorei

Di Zhang

Michael Kram

Carolin Noack

Christoph Roessig

A method for the at least assisted merging of a motor vehicle into a traffic lane. The method includes: determining that a motor vehicle is to be merged into the traffic lane, receiving signals from the surroundings, which represent surroundings of the motor vehicle including at least partially the traffic lane, generating remote control signals for remotely controlling a lateral guidance and/or a longitudinal guidance of the motor vehicle based on the signals from the surroundings, in order to at least assist the motor vehicle during the remote control on the basis of the remote control signals in merging into the traffic lane, outputting the generated remote control signals. A device, a computer program, and a machine-readable memory medium, are also described.

Method for the at least assisted merging of a motor vehicle into a traffic lane

A method for a position determination of a vehicle, at least one camera and one sensor unit for a global satellite navigation system being situated on the vehicle. The method includes: acquiring at least one camera image of the environment of the vehicle with the aid of the camera, generating a transformed image as a function of the acquired camera image, with the transformed image having a virtual perspective pointing perpendicularly in the downward direction, determining a satellite position of the vehicle through a satellite-based position determination, and providing an aerial image of the environment of the vehicle as a function of the determined satellite position. A detection of a position of the transformed image in the supplied aerial image, and an ascertainment of a vehicle position as a function of the detected position of the transformed image in the supplied aerial image take place subsequently.

Method for a position determination of a vehicle, control unit, and vehicle

A method for calibrating a camera for a gaze direction detection in a vehicle, to a device for a motor vehicle having a camera and at least one further element, and to a computer program product. The at least one further element is situated in a fixed geometric relationship with the camera the calibration takes place by detecting, in images of the camera, at least one relative change in the gaze direction in which a user changes his gaze in the direction of the further element. The method is characterized in that it is detected by at least one action of the user that the gaze change of the user has taken place or will take place. For the gaze direction then offers an advantage as a result of a dual benefit: it is used both for the calibration and for the action of the user.

Method for calibrating a camera for a gaze direction detection in a vehicle, device for a motor vehicle having a camera and at least one further element, and computer program product

A system with a first computer unit and with a second computer unit, wherein the first computer unit comprises a first interface to enable connection to at least one sensor and to at least one actuator, wherein the second computer unit comprises a second interface to enable connection to at least one sensor and to at least one actuator, wherein the first and the second computer units can be connected to each other by means of a further interface, wherein the actuator comprises an interface, wherein depending on the first or on the second operating state the interface determines whether a control command for a driving function is adopted by the first or the second computer unit, so that in the first operating state only the first computer unit can activate the actuator and in a second operating state only the second computer unit can activate the actuator.

Fail-safe EE architecture for automated driving

In a method, a device, and a computer program for reducing the resolution of an input image, wherein input image shows a three-dimensional scene that was recorded by a surveillance camera, the distance between surveillance camera and objects in the three-dimensional scene is referred to as the object distance, and the resolution reduction is adjusted with consideration for the object distance in the three-dimensional scene and/or the perspective distortion of the three-dimensional scene.

Method, device, and computer program for reducing the resolution of an input image

A lane monitoring method for a vehicle includes: detecting a lane of the vehicle with the aid of a camera of the vehicle; recording driving status measuring signals of the vehicle; evaluating the driving status of the vehicle according to at least one lane departure criterion; upon meeting the lane departure criterion, checking whether decision criteria for detecting an intentional trajectory shortening maneuver have been met; and generating a lane departure warning signal as a function of the evaluation according to the lane departure criterion, the output of the lane departure warning signal being suppressed if an intentional trajectory shortening maneuver is detected.

Lane monitoring method and lane monitoring system for a vehicle

A surveillance camera is positioned and positionable at a stationary surveillance position for monitoring. The surveillance camera has a calibration tool that is constructed or configured for ascertaining the stationary surveillance position of the surveillance camera.

Surveillance camera and method for calibrating the survelliance camera using a calibration tool

A method for recognizing road signs in the vicinity of a vehicle and for synchronization thereof to road sign information from a digital map where, in the case of a recognition of road signs, road-sign recognition data are generated, navigation data being provided for localizing the vehicle in digital map data, and the road-sign recognition data being synchronized to the map data. To be able to provide unambiguous and the most accurate possible and thus improved road sign information to be output to the driver in the context of such a method, in the case of a discrepancy between the map data and the road-sign recognition data, the decision is made with the aid of reliability factors for the camera and map as to whether the data from the digital map or the road-sign recognition data are output in the vehicle.

Method and device for recognizing road signs in the vicinity of a vehicle and for synchronization thereof to road sign information from a digital map

A driver-assistance system for a motor vehicle includes a recording device for recording an environment of the motor vehicle including a rear environment of the motor vehicle, a warning device for generating a warning signal, and an evaluation device. The evaluation device is configured to analyze a current driving behavior of the driver on the basis of the recorded environment of the motor vehicle, and to induce the warning device to generate a warning signal if the evaluation device detects a deviation of the driving behavior from a predetermined setpoint behavior.

Assistance system for a motor vehicle

A surveillance system () for monitoring a plurality of surveillance regions () is controllable and/or controlled by at least one human observer (). The system includes a state detection module () which is designed and/or situated such that the surveillance state of the observer () may be determined on the basis of optically detected state signals of the observer ().

Surveillance system having status detection module, method for self-monitoring of an observer, and computer program

An image-processing device carries out an object segmentation in which the object segmentation is executed and/or is executable through comparison of a camera image to a scene reference image of a surveillance scene, equipped with a learning device for generating the scene reference image; the learning device generates the scene reference image through evaluation of a medium-term and/or long-term observation of the surveillance scene a) that extends over a time period of longer than one day, preferably longer than several days, in particular longer thanweek, and/or b) that extends over a time period that includes several states of the surveillance scene.

Image-processing device, surveillance system, method for establishing a scene reference image, and computer program

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Hildesheim, Germany

Wolfgang Niem