Abstract: A sensor assembly for a vehicle comprises a sensor support and a cover, wherein the sensor support comprises at least one first and at least one second mounting plate. The first and second mounting plates are designed for receiving sensor modules, and in such a way that cover panels are attachable on multiple sides. The sensor support also comprises stabilizing elements which are arranged between the first and the second mounting plate, wherein the sensor support is designed symmetrically along a horizontal central axis and an orientation of the sensor assembly with respect to a direction of travel of the vehicle and the positioning on the vehicle is definable via the attachment of the cover.

Abstract: A sensor arrangement for a motor vehicle includes: a sensor support and a plurality of sensors which are fastened to the sensor support. The plurality of sensors include at least one of a camera, a radar, and a lidar; a fastening unit for fastening the sensor support to the motor vehicle; a joint which couples the sensor support and the fastening unit to one another. A relative orientation of the sensor support and of the fastening unit to one another is changeable in order to change a detection range of the plurality of sensors. A motor vehicle and a method are also specified.

Abstract: A sensor arrangement for a vehicle, with a housing having a movable and an immovable housing part with sensors for detecting the surroundings arranged in the housing. At least one sensor has a detection range in the vehicle's direction. A further sensor has a detection range opposite to the vehicle's direction of travel and a sensor has a detection range for monitoring the vehicle's lateral region. At least a part of the multiplicity of the sensors is arranged in the movable housing part, at least one sensor with a detection range directed in the vehicle's direction of travel, one with a detection range directed in the direction opposite to the vehicle's direction of travel and one with a detection range aligned to the vehicle's side. The movable housing part is configured to move in the horizontal direction such that the spatial extent of the sensor arrangement can be modified.

Abstract: A method, in particular a computer-implemented method, for recognizing a roadway coating on a roadway by means of a vehicle camera system of a vehicle is disclosed. The method includes providing a first image of the vehicle surroundings acquired with the vehicle camera system with a first exposure time; providing a second image of the vehicle surroundings with a second exposure time which is longer than the first exposure time; and determining a statement about the presence of a roadway coating at least on the basis of the second image. A computer program is disclosed which is configured to carry out the method, and to a computer-readable storage medium on which the computer program is stored.

Abstract: A method for an autonomously driving vehicle to store environment detection data in a permanent memory, wherein a situation analysis is started when a trigger criterion is fulfilled; the situation analysis carries out an evaluation of data from at least one environment detection sensor with regard to misbehavior directed towards the autonomous vehicle; and depending on the result of the situation analysis, data from at least one environment detection sensor is stored in a permanent memory.

Abstract: A method for providing traffic information at an intersection, wherein trajectories of a plurality of vehicles are detected over time intervals, paths are identified on the basis of the trajectories and these paths and/or information derived from them are provided as traffic information.

Abstract: A method for lane and roadway detection uses a multitask DNN architecture including an encoder, a first decoder and a second decoder. The method includes the following steps: providing an input image by an optical detection device, filtering the input image by the encoder, generating a first representation of the lane and/or roadway by the encoder, processing the first representation in the first and second decoders, outputting two different representations from the first and second decoders, combining the two different representations, and outputting identified lanes, lane markings and the roadway.

Abstract: A stereo camera system for a driver assistance system includes a first camera having a first aperture angle and a second camera having a second aperture angle, wherein the first camera produces a wide-angle camera image, the second camera produces a telephoto camera image, and the two camera images have an area of overlap. The first camera is a rolling shutter camera and the second camera is a global shutter camera. The two cameras' shutters are synchronized with one another in particular manners.

Abstract: The invention relates to a method for lane detection (S1-S3) and roadway detection (1), wherein a multitask DNN architecture is used for detection and consists of at least one encoder and at least one first and one second decoder, the method comprising the following steps: providing (VS1) an input image by means of an optical detection device, filtering (VS2) the input image by means of the encoder, generating (VS3) a first representation of the lane (S1-S3) and/or roadway (1) by the encoder, forwarding (VS4) the first representation to the first and the second decoder, processing (VS5) the first representation in the first and the second decoder, outputting (VS6) two further different representations of the first and second decoder, combining (VS7) the two representations of the first and the second decoder, outputting (VS8) identified lanes (S1-S3) and lane markings and also the roadway (1).

Abstract: 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.

Abstract: A device for object recognition of an input image includes: a patch selector configured to subdivide the input image into a plurality of zones and to define a plurality of patches for the zones; a voting maps generator configured to generate a set of voting maps for each zone and for each patch, and to binarize the generated set of voting maps; a voting maps combinator configured to combine the binarized set of voting maps; and a supposition generator configured to generate and refine a supposition out of or from the combined, binarized set of voting maps.

Abstract: A control device for a vehicle, with at least one environment sensor which is designed to detect the surroundings of the vehicle, with a computing device which is designed to detect the position of the vehicle and to operate the environment sensor on the basis of corresponding location-dependent operating parameters.

Abstract: The invention relates to a camera system, in particular a stereo camera system, for a driver assistance system, comprising a first camera having a first aperture angle and a second camera having a second aperture angle, the first camera producing a wide-angle camera image and the second camera producing a telephoto camera image, the two camera images having an area of overlap. The first camera is a rolling shutter camera and the second camera is a global shutter camera, the camera system being designed in such a way that the two cameras are synchronized.

Abstract: The present invention relates to a device (100) for object recognition of an input image (A), the device (100) comprising: a patch selector (10), which is configured to subdivide the input image (A) into a plurality of zones z(m) and to define a plurality of patches pj(m) for the zones z(m); a voting maps generator (20), which is configured to generate a set of voting maps V(m) for each zone m of the plurality of zones z(m) and for each patch pj of the plurality of patches pj(m) and to binarize the generated set of voting maps V(m); a voting maps combinator (30), which is configured to combine the binarized set of voting maps V(m); and a supposition generator (40), which is configured to generate a supposition out of or from the combined, binarized set of voting maps V(m) and to perform a refinement of the supposition out of or from the combined, binarized set of voting maps V(m).

Abstract: A driver assistance system (106) of a vehicle (100) includes a laser scanner (101) with a phase-controlled laser (102), a sensor unit (104) and an evaluation unit (103). The phase-controlled laser is configured to produce a controllable laser beam by beam forming and to direct the laser beam into an environment outside of the vehicle. The sensor unit (104) is configured to detect a retroreflection caused by the laser beam. The evaluation unit (103) produces driver assistance data by evaluating the detected retroreflection.

Abstract: In order to recognize hazard areas and/or construction areas on a roadway, an environment sensor produces detected environment data regarding objects indicating the hazard areas and/or construction areas. A traffic light system is detected in the environment data, position data of the traffic light system is determined, an environment scenario is determined from the environment data and is compared with a reference model of the environment scenario. If the reference model does not indicate the presence of a traffic light system, or indicates a traffic light system having position data differing from the position data of the detected traffic light system, then it is concluded that the detected traffic light system is a traffic light system identifying a hazard and/or construction area.

Abstract: A driver assistance system for controlling a high beam, including an environment detecting device. At least one radar or lidar sensor system as well as a camera sensor system are provided for detecting the environment in front of the vehicle. A control signal for a high beam controller or warning device is generated when the high beam is active and at least one sensor system for detecting the environment simultaneously detects a potentially dazzled object.

Abstract: A sensor system detects objects in an environment ahead of a vehicle. The environment is represented by a predetermined fixed number of position points in an environment model. Initially and when no objects are detected, the position points may be distributed stochastically over the detection area of the sensor system. When objects are detected, the position points are re-distributed based on the detected objects, e.g. with a higher density of position points to represent the detected objects. Because the total number of position points is a predefined fixed number that remains constant, the processing, storage and transmission of the environment model involves a constant data volume and efficient use of memory and transmission bandwidth.

Abstract: A method for an overtaking assistant for a vehicle is provided. The vehicle is equipped with environment sensing systems for detecting objects in the own and an adjacent lane on the sides and at the rear of the vehicle. The space in front of the vehicle is preferably detected by environmental sensors as well. Autonomous cutting into an adjacent lane is only initiated if a first vehicle is detected in the adjacent lane. The first vehicle is taken as a reference for a speed of vehicles in the passing lane. It is also assumed that a second vehicle that approaches the first vehicle fast in the same lane has detected the first vehicle and will adjust its speed to the speed of the first vehicle.

Abstract: A method for adapting a collision avoidance system that avoids a collision of a vehicle with an obstacle, which collision avoidance system is designed to avoid the collision by sensing an actual distance from the obstacle and by outputting a signal on the basis of the falling below of a threshold distance by the actual distance, including: sensing a friction coefficient of an underlying surface on which the vehicle is supported in such a way that the vehicle can be driven, and setting the threshold distance on the basis of the sensed friction coefficient.