Abstract: The present disclosure relates to a method for the detection and determination of the height of objects by means of an environment detection system, including a first environment detection sensor and a second environment detection sensor of a vehicle, wherein at least one of the environment detection sensors is a mono camera. The method includes the following steps: capturing a mono image using the camera; capturing an environment representation using the second environment detection sensor; carrying out object detection in the mono image; carrying out object detection in the environment representation of the second environment detection sensor; measuring the distance from the object in the environment representation of the second environment detection sensor; and carrying out height determination of the detected object.

Abstract: A method for determining depth information relating to image information by an artificial neural network in a vehicle, comprising providing at least one emitter and first and second receiving sensors being spaced apart from one another; emitting electromagnetic radiation by the emitter; receiving reflected proportions of the electromagnetic radiation emitted by the emitter by the receiving sensors and generating first image information by the first receiving sensor and second image information by the second receiving sensor on the basis of the received reflected proportions; comparing the first and second image information for determining an image area unequally illuminated in the first and second image information which occurs by parallax due to the spaced-apart arrangement of the receiving sensors; evaluating geometric information of the unequally illuminated image area and estimating depth information by the artificial neural network on the basis of the evaluation of the geometric information.

Abstract: The invention relates to a method for detecting beacons (4) in the surroundings of an ego vehicle (5), comprising the steps of: capturing (S1) a sequence of camera images (1) of a section of the surroundings by means of a-camera system (6) of the ego vehicle (5), detecting (S2) bright light spots in the recorded camera image (1), cutting out (S3) regions (3) containing the detected bright light spots in the camera image (1), classifying (S4) the cut-out regions (3), classing (S5) the bright light spots as beacons (4) if the classified bright light spots are detected repeatedly and therefore a threshold value of a counter is exceeded.

Abstract: A camera system and method for controlling same, including capturing images of surroundings of a vehicle for a driver assistance system thereof. The camera system includes a first rolling shutter camera having a first aperture angle, a second rolling shutter camera having a second aperture angle, and control electronics. The first and second cameras are suitable for generating wide-angle and tele camera images, respectively. The first aperture angle is greater than the second aperture angle. The two cameras are designed such that both camera images have an overlap region. The control electronics synchronizes the two cameras. The geometric arrangement of the two cameras with respect to one another, and the position of the overlap region in the wide-angle image and in the tele camera image, are determined by continuous estimation. The stored geometric arrangement and position are taken into consideration during synchronization of the first and second cameras.

Abstract: A method for determining information about the ego-motion of a vehicle, wherein the vehicle comprises a stereo camera system with at least two cameras for capturing stereo images of the area surrounding the vehicle and an artificial neural network for processing the image information provided by the stereo camera system, wherein the stereo camera system captures image sequences which contain a plurality of image information at different points in time by means of the at least two cameras during the movement of the vehicle, wherein the artificial neural network receives the image information and, based thereon, generates stereo images with distance information, and the artificial neural network provides information regarding the ego-motion of the vehicle at an output interface on the basis of the image information of the stereo camera system.

Abstract: The present disclosure relates to a method for the detection and determination of the height of objects by means of an environment detection system, including a first environment detection sensor and a second environment detection sensor of a vehicle, wherein at least one of the environment detection sensors is a mono camera. The method includes the following steps: capturing a mono image using the camera; capturing an environment representation using the second environment detection sensor; carrying out object detection in the mono image; carrying out object detection in the environment representation of the second environment detection sensor; measuring the distance from the object in the environment representation of the second environment detection sensor; and carrying out height determination of the detected object.

Abstract: 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.

Abstract: The disclosure relates to a method and system for extracting disparity information out of a pair of stereo camera images for processing images of camera sensors for Automated Driving or Advanced Driver Assistance Systems in a vehicle. The method includes: a) receiving a pair of unrectified stereo camera images, b) performing a 2D-matching of the received pair of images using a trained convolutional neural network and providing the 2D-displacement on a pixel-by-pixel level as disparity information, and c) outputting the 2D-displacement on pixel level. The method is robust which does not require a high precision rectification. Applying rectification on the disparity values after the matching process leads to reduced algorithmic complexity with simultaneous preservation of all information.

Abstract: A method for using cryptographic keys in a vehicle on-board communication network. The method includes, during an initialization of a vehicle-bound power supply time period of a vehicle: generating at least one cryptographic key by a central electronic control unit for the respectively initialized vehicle-bound power supply time period of the vehicle; transferring the generated at least one cryptographic key by the central electronic control unit using at least one cryptographic algorithm to at least one further electronic control unit in the on-board communication network; using the transferred cryptographic key by at least one electronic control unit for at least one further or for the same cryptographic algorithm for a communication between the electronic control units for the duration of the respective initialized vehicle-bound power supply time period in the on-board communication network.

Abstract: A method for detaching a liquid lamella from a substrate edge is provided. A tear-off front is configured at at least one point of the liquid lamella. A width of the liquid lamella is then reduced by guiding the tear-off front along the substrate edge. Thus, the width of the liquid lamella prior to being torn off the substrate edge can be reduced by at least 50%, as compared to an original width of the liquid lamella.

Abstract: A method and a driver assistance system recognize the intention of a pedestrian to move on the basis of a sequence of images of a camera. The method includes detecting a pedestrian in at least one camera image. The method also includes selecting a camera image that is current at the time t and selecting a predefined selection pattern of previous camera images of the image sequence. The method further includes extracting the image region in which the pedestrian was detected in the selected camera images of the image sequence. The method also includes classifying the movement profile of the detected pedestrian on the basis of the plurality of extracted image regions. The method outputs the class that describes the movement intention determined from the camera images of the image sequence.

Abstract: The present disclosure relates to a method and system for recognizing road users, in particular persons in road traffic The method includes the following steps: recording at least one ambient image or a sequence of ambient images by means of an optical sensor of a vehicle, detecting a person in the ambient image, determining a pose of the detected person; determining a presence of a means of transport of the person; and assigning a movement profile to the person based on the determined means of transport of the person.

Abstract: The disclosure relates to a vehicle camera system , including two pairs of cameras. A first pair of cameras is arranged at the left side portion of the vehicle cabin and a second pair of cameras is arranged at the right side portion of the cabin. The cameras of the first and second pair of cameras are arranged one above the other in a vertical direction. The first and second pairs of cameras build rear-viewing stereo camera systems for providing image and distance information of areas on the left and right sides of the vehicle, respectively. The cameras of the first and second pair of cameras are arranged by one or more spacers at the vehicle cabin, the spacers providing a lateral distance of the cameras to the vehicle cabin. The cameras of each pair of cameras have a vertical distance of at least 0.

Abstract: A system for managing a vehicle fleet of at least partially autonomously driving vehicles in a vehicle depot, including: a capture unit to capture the respective position of the vehicles in a vehicle group of the fleet arranged in the depot. The vehicles in the group each have a service plan which instructs the respective vehicle to carry out vehicle service in the depot, a communication interface receives a signal from at least one further vehicle in the fleet which drives into the depot, and a control unit assigns a further service plan to the further vehicle based on the captured respective position of the vehicles in the group in the depot and based on the received signal from the further vehicle. The communication interface transmits the further service plan to the further vehicle. The further service plan instructs the further vehicle to carry out vehicle service in the depot.

Abstract: A method of ascertaining disparities in sensor data uses at least one neural network implemented in a controller of a vehicle. The method involves capturing (101) a learning data record from temporally successive raw sensor data, evaluating (102) the learning data record to train the neural network exclusively based on the learning data record of the captured raw sensor data, ascertaining (103) expected sensor data, comparing (104) the ascertained expected sensor data with sensor data currently captured by the sensor arrangement, and ascertaining (105) a disparity between the currently captured sensor data and the ascertained expected sensor data.

Abstract: A method for determining the roadway plane in the surrounding area of a vehicle, the vehicle comprising a stereo camera system for capturing stereo images of the surrounding area of the vehicle and an artificial neural network for processing the image information provided by the stereo camera system, wherein the neural network determines disparity information of the surrounding area of the vehicle, wherein, on the basis of the disparity information, distance information is calculated which contains information regarding the distance of the objects displayed on the image information from the stereo camera system or the vehicle, wherein roadway distance information is extracted from the distance information, wherein the roadway plane is determined on the basis of the roadway distance information.

Abstract: 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.

Abstract: A method for producing ultrafine lignin particles by means of spray-drying at a dual-fluid nozzle (2), which has a first nozzle opening (31) and a second nozzle opening (41), wherein a lignin-containing solution or suspension is fed to the first nozzle opening (31) of the dual-fluid nozzle (2) and an atomizer gas is fed to the second nozzle opening (41) of the dual-fluid nozzle (2), and wherein: a) the flow rate at which the lignin-containing solution or suspension is fed to the first nozzle opening (31) of the dual-fluid nozzle (2) is 60 to 65 ml/min; b) the drying temperature is 150 to 175° C.; and c) the pressure of the atomizing gas at the second nozzle opening (41) of the dual-fluid nozzle (2) is 3 to 6 bar.

Abstract: A device treats substrates with a liquid, which device has a conveying device by which the substrates can be conveyed in a conveying direction through a container containing a liquid. A weir has an edge over which the substrates can run and which, at least in sections, extends obliquely relative to the conveying direction of the substrates. The weir is used in the device for treating substrates with a liquid. The weir has at least one edge which extends obliquely at least in sections.

Abstract: A device treats substrates with a liquid, which device has a conveying device by which the substrates can be conveyed in a conveying direction through a container containing a liquid. A weir has an edge over which the substrates can run and which, at least in sections, extends obliquely relative to the conveying direction of the substrates. The weir is used in the device for treating substrates with a liquid. The weir has at least one edge which extends obliquely at least in sections.