Robert Boschgmbh

Conti Temic Microelectronic Gmbh

Infineon Technologies Ag

Zf Friedrichshafen Ag

Continental Teves, Ag and Company Ohg

Automotive Distance Control Systems Gmbh

Martin Randler

Wolfgang Fey

Alfred Eckert

Ulf Wilhelm

Ruediger Jordan

Bernhard Lucas

Marc-Michael Meinecke

Joerg Hilsebecher

Martin Heinebrodt

Fred Oechsle

Martin Reiche

Georg Halasy-Wimmer

Werner Urban

Paco Haffmans

Dirk Meister

Klaus Lehre

Stefan Heinrich

Marc Theisen

Joachim Hauk

Alfred Kuttenberger

Dieter Krökel

Herbert Olbrich

Gregory Baratoff

Ronald Bayer

Jochen Müller

Ralph Grewe

Marc Fischer

Stephan Groitzsch

Michael Bunse

Thorsten Sohnke

Wolfgang Branz

Oliver Wackerl

Dirk Ulbricht

Michael Klug

Peter Van Der Vegte

Jochen Bauer

Bernhard Trier

Thomas Meurers

Bernd Piller

Stephanie Arramon

Tobias Stephan

Iris Nadine Koesters

Peter Petschnigg

Volker Frey

Stephan Kopischke

Stefan Rinkenauer

Christopher Kosubek

Carlos Almedia

Philippe Dintzer

Nele Hanel

Götz KÜHNLE

Carlos Almeida

Stefan Lüke

Oliver Schwindt

Martin Kallnik

Arno Hinsberger

Daniel Mayr

Yuriy Olshansky

Xavier Torras

Martin STÄMPFLE

Stefan Scholz

Carsten Anklam

Ingo Meinke

Markus Maurer

Volker Von Holt

Alexander Kirchner

A device for detecting rain includes a camera and a lighting source for emitting visible light onto a window. The camera and the lighting source are configured and arranged in such a way that the camera can detect a signal of the visible light which the lighting source emits onto the window. The signal which is detected by the camera correlates with visible light of the lighting source, which visible light is reflected or scattered at the inner face of the window or outer face of the window and/or at the raindrop. The visible light passes through a shutter device which causes the light to be blocked or highly attenuated in a predefined direction perpendicular to the illumination direction of structures of the shutter device. In contrast, the light in the direction perpendicular to the predefined direction and to the illumination direction can propagate virtually unimpeded through the shutter device.

Illumination for the detection of raindrops on a window by means of a camera

A device for redundant object detection includes a stereo camera having two image sensors, a first processor for detecting objects by stereo image evaluation of image data from the two image sensors, and a second processor for classifying the detected objects by evaluation of image data from at least one of the two image sensors. A method and a program for such object detection and classification are also provided.

Redundant object detection for driver assistance systems

The invention relates to a method for assisting a driver in driving a vehicle by detecting weather-related visibility limitations, wherein image data of the surroundings of the vehicle and of the windshield are generated by a camera that is directed toward the windshield.

Method and device for assisting a driver while driving a vehicle by detecting weather-related visibility limitations

A brake control system for motor vehicles includes a stability system for stabilizing the vehicle from the standpoint of driving dynamics during braking, a triggering unit for the automatic output of a braking demand as a function of the traffic situation, a braking unit which converts the braking demand into a braking action, and a control unit for modifying the braking demand prior to its implementation as a function of the state of the stability system.

Brake control system for motor vehicles

A method and a device for estimating the coefficient of friction by a 3D camera. The 3D camera records at least one image of the vehicle's surroundings. The image data of the 3D camera is used to produce a height profile of the road surface in the entire space ahead of the vehicle. Based on the height profile, the local coefficient of friction of the road surface that is to be expected in the space ahead of the vehicle is estimated.

Estimation of coefficients of friction using a 3-D camera

A method for classifying objects into obstacles and non-obstacles for a vehicle is described. The vehicle comprises a sensor for covering the surroundings that detects stationary and moving objects in a scene in front of a vehicle. Where required, the path of the motion of the objects is tracked. The method provides one or several observers, wherein one observer classifies an object according to predetermined features and contributes to an overall classification result when there are several observers. An observer detects the path of the motion of vehicles in the surroundings of at least one stationary object and classifies the stationary object in dependence thereon.

Method for classifying an object as an obstacle

A method and device for identifying and classifying objects, electromagnetic radiation being emitted by a sensor, the radiation components reflected on objects being received by the sensor, the received signals being analyzed by comparison with stored characteristic values and the class of the reflecting object being deduced on the basis of the analysis. To this end, an analyzer is provided for analyzing the received signals, a memory is provided for storing characteristic patterns, its stored patterns being compared with the analyzed signals and thus the class of the reflecting objects being deducible on the basis of the comparison.

Method and device for identifying and classifying objects

A driver assistance system for motor vehicles has a sensor device for measuring data about the environment of the vehicle, at least two assistance functions, and a data processing device, which analyzes the measured data and generates at least one specific environmental hypothesis for each assistance function, which provides output data in a form prepared for the corresponding assistance function, at least one environmental hypothesis which has a structure divided into a plurality of partial hypotheses being predefined in the data processing device, and the partial hypotheses having such a logical relationship with one another that output data of one partial hypothesis flow into the generation of the other partial hypothesis, and at least two assistance functions directly or indirectly use a shared partial hypothesis.

Driver assistance system having a plurality of assistance functions

A method for predicting object movements in a driver assistance system of a motor vehicle, in which the movements of objects located periodically by a locating device () are precalculated by dynamic modeling of the objects, characterized in that a plurality of dynamic models () are held in readiness which are based on different hypotheses about the object, and that the models are selected and/or weighted as a function of the situation in accordance with the correctness probability (P, P) of the hypotheses for the prediction.

Method and device for object tracking in a driver assistance system of a motor vehicle

In an object verification method for use in radar systems for motor vehicles, the distances and relative velocities of located objects are determined on the basis of received radar echoes. The signature of multiple reflections is searched for in the received radar echoes to verify real objects.

Object verification method for use in radar systems for motor vehicles

A method and a device for controlling at least one object detection sensor for a motor vehicle, the at least one sensor being switchable between a plurality of operating modes; a plurality of functions for evaluating the objects detected, using the object detection sensor, being able to access randomly the at least one sensor and a switchover between the operating modes being selected as a function of the instantaneously accessing assistance functions, and a coordinator is provided between the function evaluation devices and the at least one sensor; each function accessing the at least one sensor transmits to the coordinator a biasing probability distribution function, respectively, and the at least one sensor transmits to the coordinator a detection probability density function for each operating mode that is able to be activated, and the coordinator selects the most suitable operating mode for each function accessing the at least one sensor.

Method and device for controlling at least one object detection sensor

A method and a device for controlling automatic emergency braking of a motor vehicle to reduce the severity of a collision of a vehicle with an object, the position and/or speed of the object with respect to the host vehicle being determined via an object detection device, and this information being sent to a collision detection device which ascertains whether a collision with an object is imminent and, on detecting a collision, triggers emergency braking and ascertains a collision instant, emergency braking being terminated after the period of time until the determined collision instant has elapsed.

Method and device for controlling automatic emergency braking

A driver assistance system includes a position finding system () for locating objects in the surroundings of a vehicle and at least one assistance function, as well as a device for recognizing special situations by recognizing a characteristic signature in at least one distribution of position finding data in a set of located objects.

Driver assistance system having a device for detecting special situations

A radar system for motor vehicles, having a radar sensor and an evaluation device for measuring distances and relative velocities of objects in the surrounding field of the vehicle, and a collision detection device, which, on the basis of the measured distances and relative velocities, recognizes an imminent collision and delivers data on the expected time of collision and the impact velocity to a precrash system. The radar sensor is switchable by the collision detection device to a velocity measurement mode in which a more precise measurement of the relative velocity is made.

Radar system for motor vehicles

A method and device are provided for measuring distance and relative speed of a plurality of objects with the aid of an FMCW radar, transmitted signals being reflected by objects, and the reflected signals being received and mixed with the transmitted signals. A combination of distance and relative speed values is assigned to the mixer output frequencies of each frequency ramp for each object, and the distance and relative speed of a possible object are determined from points of intersection of a plurality of distance and relative speed combinations. The apparent (unreal) objects are eliminated by modifying the frequency slope of at least one frequency ramp according to the random principle in a subsequent measurement cycle.

Method and device for measuring the distance and relative speed of multiple objects

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Immenstaad, Germany

Martin Randler