Abstract: The present disclosure relates to a device for measuring distance using a camera. The camera is movably arranged on a camera holder. A controller is designed to control a movement of the camera, in particular in a stationary state of the device, in such a manner that the camera records at least two images in at least two positions. A computing device is designed to calculate and output the distance of the device from objects visible on the images based on the at least two images. Further, the present disclosure discloses a vehicle and a method.

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: In a method for evaluating image data of a vehicle camera, information about raindrops on the vehicle's windshield within the field of view of the camera is taken into account in the evaluation of the image data for detection and classification of objects in the environment of the vehicle. Particularly, for example, depending on the number and the size of the raindrops on the windshield, different detection algorithms, image evaluation criteria, classification parameters, or classification algorithms are used for the detection and classification of objects.

Abstract: A method and a device determine whether a vehicle can pass through a passage of an object, based on image data from a 3-D camera, which records an image of surroundings of the vehicle. A trajectory of the vehicle is ascertained. From the image data, it is determined whether an object located above the trajectory is recognized and whether the object has at least one connection to the ground. The dimensions and the shape of an entry area or a passage space between the object and the roadway, through which the vehicle is to pass, are determined from the image data. By comparing the dimensions and shape of the entry area or the passage space with the dimensions and shape of the vehicle, it is determined whether and how the vehicle can pass through the entry area or passage space.

Abstract: A driver assistance system with improved fault tolerance and a method for the same are provided. An actuator control variable for a reduced driver assistance application with reduced functionality is a calculated in a second control unit in case of unavailability of an actuator control variable for the main driver assistance application with full functionality as determined by a first control unit.

Abstract: A method supports a vehicle's traffic-light-sequence assistant system that detects traffic light sequences of a traffic light (11) with a camera (1). According to the method, when the traffic light (11) is detected in the field of view (1a ) of the camera (1), a length or an end stopping point (L) of a driving path (W) toward the traffic light (11) is determined by a control unit (3), such that the traffic light will remain within view of the camera when the vehicle drives the determined length along the driving path to the end stopping point, and a control signal (St) concerning the determined length (L) or the end stopping point of the driving path (W) is outputted.

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: 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 and a device are provided for calibrating a plurality of environment sensors in a vehicle. Traffic light signals are detected and identified from the data of at least one environment sensor or from data received by a car-2-X communication unit. A calibration of the plurality of environment sensors is activated and performed in response to a determination that a traffic light signal pertaining to the vehicle has turned red.

Abstract: A driver assistance system for avoiding collisions of a vehicle with pedestrians, the system including a camera sensor and/or a beam sensor. When an object moving at a given speed on a pedestrian crossing is detected, the object is detected as being a pedestrian with a probability that is sufficiently high to output a warning to the driver, reducing the likelihood of a potential collision.

Abstract: The invention relates to a method for analyzing trafficability using a computer, said method comprising the following steps: receiving image data of surroundings (10) in front of a vehicle (S10), analyzing the image data to identify different zones (12, 14, 16, 18, 24) in an image of the surroundings (S12, S14, S16, S18, S20); and analyzing identified different zones (16, 18) in terms of trafficability for the vehicle (S22, S24).

Abstract: A method for learning traffic events, the traffic events being transmitted to a data network using vehicle-to-X communication. The traffic events include position data and time data assigned to the traffic events, and the traffic events are stored electronically in the data network. The method is characterized in that an individual storage duration is determined for each traffic event, and the traffic event is deleted from the data network after the storage duration expires. The invention further relates to a corresponding system and to the use thereof.

Abstract: A driver assistance system with improved fault tolerance and a method for the same are provided. For this purpose, a control variable for an actuator for a reduced driver assistance system is calculated in a second control unit.

Abstract: A driver assistance system includes a sensor that detects objects and/or characteristics of objects in the surroundings of a motor vehicle, and an object recognition unit that evaluates data from the sensor to produce object information, and determines a confidence value indicating the probability of accuracy thereof. If the confidence value is greater than a minimum threshold but less than a predefined threshold, then the system displays the object information to the driver, who confirms or rejects it, e.g. by actuating or not actuating an operating element. Upon confirmation by the driver, the system begins or continues to perform a driver assistance function based on the object information. Upon rejection by the driver, the system does not perform or discontinues the driver assistance function based on the object information. If the confidence value exceeds the predefined threshold, then the system autonomously performs the driver assistance function.

Abstract: A method for controlling the starting of a vehicle at a traffic light by a driver assistance system is disclosed. The vehicle starts driving according to whether or not at least one traffic light is present, according to the color phase of the traffic light, and according to the driver's state of attention. A warning signal or a signal for intervening in an acceleration control process of an ego vehicle is output.

Abstract: The invention relates to a method for evaluating image data of a vehicle camera. Information about raindrops on a window within the field of view of the vehicle camera is taken into account in the evaluation of the image data.

Abstract: The invention relates to a method for recognizing marked hazard areas and/or construction areas in the region of lanes, in which method by means of at least one environment sensor the objects indicating hazard areas and/or construction areas are detected. According to the invention a traffic light system is detected by means of the environment sensor, the positional data of the traffic light system is determined, an environment scenario in respect of the environment structure is determined from the environment data detected by the environment sensor and is compared with a reference model of the environment scenario. If said reference model indicates no traffic light system or indicates a traffic light system having positional data differing from the positional data of the detected traffic light system, a conclusion is drawn about a traffic light system identifying a hazard and/or a construction area.

Abstract: The invention relates to a method for supporting a traffic-light-sequence assistant of a vehicle (10), said assistant detecting the traffic light sequences of traffic lights (11) by means of a camera (1). The invention provides that when traffic lights (11) are detected in the visual range (1a) of the camera (1), the length (L) of the driving path (W) in the direction of the traffic lights (11) is determined by means of a control unit (3), said driving path keeping the camera (1) in the visual range (1a) thereof, and a control signal (St) concerning the length (L) of the driving path (W) is outputted.

Abstract: The invention relates to a method for representing a vehicle environment for a vehicle with a sensor system in order to detect the environment. For this purpose, the vehicle environment is described with a predetermined fixed set of position points (particles).

Abstract: The invention relates to a method and a device for calibrating a plurality of environment sensors in a vehicle. To this end, traffic light signals are detected and identified from the data of at least one environment sensor. The plurality of environment sensors are calibrated when it has been determined that a traffic light signal that is relevant for the vehicle has turned red (R).