Conti Temic Microelectronic Gmbh

Adc Automotive Distance Control Systems Gmbh

Volkswagen Ag

Continental Automotive Gmbh

Continental Teves, Ag and Company Ohg

Automotive Distance Control Systems Gmbh

Adc Automotive Distance Controls Systems Gmbh

Contintental Engineering Service Gmbh

Continental Temic Microelectronic Gmbh

Continental Autonomous Mobility Germany Gmbh

Continental Engineering Services Gmbh

Thomas Fechner

Stefan Heinrich

Dieter Kroekel

Dieter Krökel

Carlos Almeida

Karsten Breuer

Robert Thiel

Christian Schaale

Marc-Michael Meinecke

Markus Wintermantel

Stefan Hegemann

Michael Walter

Ralph Grewe

Wilfried Mehr

Thorsten Bagdonat

Matthias Schorn

Stephan Groitzsch

Gerhard Müller

Elias Strigel

Helmut Riedel

Martin Pfitzer

Dirk Ulbricht

Ulrich Kressel

Rolf Adomat

Gerhard Mueller

Maximilian Austerer

Steffen Goermer

Joachim Massen

Andreas Löffler

Holger Grunleithner

Marcus Asmuth

Martin Punke

Adrian Botusescu

Tobias Schwarz

Bruno Nunes-Silva

Christopher Kuenzel

Example embodiments relate to an ADAS sensor data processing unit, to an ADAS sensor system and to an ADAS sensor data evaluation method for use in driver assistance systems or systems for the automated driving of a vehicle. The ADAS sensor data processing unit includes an input interface, a decompression module, a processing unit and an output unit. The input interface is designed to receive data of an ADAS sensor that have been subjected to lossy compression by a compression module. The decompression module is designed to decompress the compressed data of the ADAS sensor. The processing unit is designed to process the decompressed data (IdSD) of the ADAS sensor, information relevant to an ADAS/AD function being ascertained from the decompressed sensor data. The output unit is designed to output the ascertained information relevant to the ADAS function.

Processing of lossy-compressed ADAS sensor data for driver assistance systems

A method for classification of ground conditions in the vicinity of a vehicle using a radar sensor, comprising: receiving reflected portions of a radar signal at a receiver unit of a radar system; calculating information derived from the received portions of the radar signal for discrete spatial regions by the radar system or a control unit connected thereto; assigning the information to data structure units associated with a geographical location and the assignment of the information taking into account movement of the vehicle; collecting pieces of information in the respective data structure units, the pieces of information being obtained from reflected portions of radar signals transmitted at different times; evaluating the information contained in the data structure using a classifier to obtain information regarding the ground condition; assigning ground condition types to the data structure units based on evaluation results obtained by the classifier.

Method for radar classification of a road surface

A camera device for a vehicle for 3-D environment sensing includes at least two camera modules having at least partly overlapping sensing ranges, a camera control unit, an evaluation unit and a point light projector. The point light projector is arranged and configured in such a way that the point light projector projects a light pattern of measurement points into the vehicle environment. The at least two camera modules are arranged and configured in such a way that at least part of the projected light pattern is imaged in the overlapping sensing range. The evaluation unit is configured to determine the 3-D position of measurement points in the vehicle environment from image data captured with the at least two camera modules. The point light projector is configured to produce a series of 'pseudo-noise patterns' as the light pattern, the 'pseudo-noise patterns' being projected into the vehicle environment in temporal succession.

3-D environment sensing by means of projector and camera modules

A camera system for a vehicle includes a camera and an image evaluating unit. The camera is arranged in an interior of the vehicle behind a windowpane of the vehicle so that the camera can record an image sequence with a plurality of external recordings of external surroundings of the vehicle through the windowpane. The image evaluating unit is adapted to detect static image components that are projected into the external recordings by reflections on the windowpane, and to extract the detected static image components from the external recordings.

Camera system for a vehicle

A method and a device for determining the position of a vehicle, said method comprising the steps: recording sensor data from the ground over which the vehicle travels; extracting ground characteristics of the ground over which the vehicle travels from the recorded sensor data or from occupancy grids which are calculated on the basis of the sensor data; determining the current position of the vehicle on the basis of the extracted ground characteristics using a characteristic map.

Method and system for determining the position of a vehicle

A driver assistance system of a motor vehicle includes a lighting system of the motor vehicle, having an illumination unit that illuminates a scene in the surroundings of the vehicle by projecting a number of actuatable pixels, whereby the illumination unit projects a predefined pattern onto the scene. An image capture unit captures an image of at least part of the scene. A computation unit computes at least one geometric property of the scene based on the captured image and the predefined pattern.

Lighting system for ascertaining geometric properties, and driver assistance system and method therefor

A device for determining the detection range of a sensor unit for a motor vehicle includes: a memory unit configured to provide a map having map data regarding a landmark and a target detection range, a reflectivity property and/or a radiant intensity respectively associated with the landmark; a sensor unit configured to detect the landmark in surroundings with an actual detection range and/or to measure a received signal intensity for the landmark; and a computing unit configured to determine a detection range of the sensor unit based on the target detection range and the actual detection range and/or based on a comparison of the received signal intensity with a calculated signal intensity derived from the reflectivity property and/or the radiant intensity associated with the landmark.

Method and device for determining the range of a sensor for a motor vehicle

A method of saving image data of a camera in an accident data recorder of a vehicle involves: a) performing object recognition to determine object data regarding objects detected from the camera image data; b) compressing the camera image data by a lossy compression method to form compressed image data; c) storing the object data and the compressed image data in a storage unit; d) overwriting the data in the storage unit after a predefined volume of data has been stored; and e) statically saving the object data and the compressed image data in response to a trigger signal.

Method for saving image data of a camera in an accident data recorder of a vehicle

A stereo camera () for a vehicle includes a first camera (), which has a first image sensor () and the camera field of vision (S) of which has a first opening angle (&#x3b1;), and a second camera (), which has a second image sensor () and the camera field of vision (S) of which has a second opening angle (&#x3b1;). The second opening angle (&#x3b1;) is greater than the first opening angle (&#x3b1;). The first camera () has a first lens optical unit () and the second camera () has a second lens optical unit (), which both have an angular resolution that is higher in a central region (Z, Z) of the field of vision (S, S) lying in the angular range (&#x3b1;) around the optical axis (O) than outside of the central region. The cameras are arranged so that the fields of vision (S, S) overlap.

Stereo camera for vehicles

A camera arrangement for or in a motor vehicle includes at least one objective with each objective including at least one lens. A temperature measurement device is configured to measure the temperature of the objective and/or of the environment of the objective. A temperature adjustment device is thermally coupled to the at least one objective and configured to adjust the temperature of the objective as a function of the measured temperature.

Camera system in or for a motor vehicle and driver assistance system

Disclosed herein is a method for calibrating a camera-based system of a vehicle (F), having a pane (S), in particular of a camera-based driver assistance system. A type of the pane (S), in particular the tinting thereof, is detected by way of the camera-based system.

Method for calibrating a camera-based system

A method and a device for distinguishing between reflectors arranged on the roadside and vehicle lights and for identifying said reflectors and vehicle lights for use in an automatic light control system in a vehicle with a camera sensor oriented towards the surroundings of the vehicle. The method includes recording a sequence of images of the surroundings of the vehicle. Light spots are found and subjected to temporal tracking within the sequence of images. Afterwards, for each light spot, a decision is made whether the light source of the light spot is a vehicle light or a reflector. A statistical map for the entire camera image is determined from the position of the light spots found with the statistical map comprising regions that are predominantly occupied by reflectors and regions that are predominantly occupied by vehicles driving ahead or by oncoming vehicles. All light sources that are found within the regions occupied by reflectors are identified as potential reflectors and all light sources within the regions occupied by vehicle lights are identified as potential vehicle lights.

Method for distinguishing between reflectors arranged on the roadside and vehicle lights in the dark

A method for determining at least one threshold value S for distinguishing, in the dark, between reflectors and vehicle lights that are recorded as light spots by a camera sensor oriented towards the surroundings of a vehicle. The camera sensor records a series of images of the surroundings of the vehicle. At least one light spot in the series of images is tracked. When the tracking of a light spot is completed, at least one parameter (for example the maximum intensity Iof the light spot in the entire series of images, or the lifetime &#x3c4; of the light spot) is determined from measured values, for example from the intensity of the light spot in each image. The threshold value S is then adapted to the determined parameter/s. The determined parameter value of the light spot is included in a frequency distribution of the parameter values from previously tracked light spots. A new threshold value for distinguishing between vehicle lights and reflectors is determined from the updated frequency distribution of the parameter values. After temporal filtering a new threshold value for distinguishing between reflectors and vehicle lights is fixed.

Method for the adaptive determination of a threshold value for the identification of vehicle lights using a camera system

A device is arranged to carry out a method for identifying traffic-relevant information in a moving vehicle, wherein image data of a visual sensor and map data of a navigation system are each pre-evaluated for the identification and the results of the pre-evaluation are combined and interpreted. The image and map data is scanned for traffic-relevant information and compacted to relevant image and map data in a first and second scene interpretations, and the relevant image and map data is supplied to a rule engine and to a state machine for interpreting the image and map data. The rule engine evaluates the image and map data and transmits an action to be executed to the state machine which carries out a transition in its state space including pre-defined states and outputs information which is assigned to the state or to the transition.

Method and device for identifying traffic-relevant information

A method for detecting misalignment of a vehicle headlight using a camera system is specified. For this purpose, the headlight is in a predefined position and the camera system is arranged on or in the vehicle and is oriented in such a manner that the light distribution pattern of the headlight in front of the motor vehicle is detected. With a predefined headlight position, an actual light distribution pattern of the headlight is recorded using the camera system and is compared with a desired light distribution pattern for the predefined headlight position. If the actual light distribution pattern differs from the desired light distribution pattern, misalignment of the headlight is detected.

Method for detecting misalignment of a vehicle headlight using a camera

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Wasserburg, Germany

Thomas Fechner