Abstract: A method for ascertaining an image of the surroundings of a vehicle. The method includes reading in first image data and at least second image data, the first image data representing image data of a first image recording area of a camera in or on a vehicle and the second image data representing image data from a second image recording area of the camera differing from the first image recording area, and the second image data having been recorded chronologically after the first image data. The method further includes processing the second image data using a vehicle parameter and/or driving parameter, to obtain processed second image data. Finally, the method includes combining the first image data with the processed second image data to obtain the image of the surroundings of the vehicle.

Abstract: A monitoring camera apparatus, having a camera for recording a monitoring region with at least one object from a recording position of the camera. The apparatus also includes an actuator for changing the recording position of the camera and a control device for driving the actuator and the camera. A first image is recordable in a first recording position of the camera, and a second image is recordable in a second recording position of the camera. The first and second images show at least one identical subsection with the at least one object of the monitoring region as a common subsection. An evaluation device for evaluating the images of the camera is configured to determine depth information concerning the at least one object in the common subsection from the first and second images.

Abstract: A method for ascertaining an image of the surroundings of a vehicle. The method includes reading in first image data and at least second image data, the first image data representing image data of a first image recording area of a camera in or on a vehicle and the second image data representing image data from a second image recording area of the camera differing from the first image recording area, and the second image data having been recorded chronologically after the first image data. The method further includes processing the second image data using a vehicle parameter and/or driving parameter, to obtain processed second image data. Finally, the method includes combining the first image data with the processed second image data to obtain the image of the surroundings of the vehicle.

Abstract: A method for assisting a driver in lane guidance of a vehicle on a roadway includes: displaying a recorded image to the driver on a display unit, which image represents the vehicle surroundings; reading in an operating signal input on a user interface by the driver; selecting an object contained in the image, using the operating signal; displaying a mark on the display unit, the mark being displayed in an area of the image which represents the object; using the object for determining at least one longitudinal control parameter for a driving route to be traveled by the vehicle in order to assist the driver in lane guidance.

Abstract: A blind spot detection system. The system includes a camera mounted at the rear of a vehicle, a controller coupled to the camera, and an indicator coupled to the controller. The camera is configured to capture images in a field-of-view to the rear of the vehicle. The controller is configured to receive a signal from the camera indicative of the images, and controller determining when a second vehicle in the images enters a blind spot of the vehicle. The controller activates the indicator when the second vehicle enters the blind spot of the vehicle.

Abstract: A method for processing image data of two sensors of a stereo sensor system that are suitable for recording images, each of the sensors being configured to record the image data section by section in sensor sections of the sensor that are situated at different positions. The method includes providing information on a geometrical offset between the positions of two sensor sections of the first sensor and the second sensor which have corresponding image data, and reading out image information of the first sensor and image information of the second sensor, the reading out taking place with reference to the positions of the sensor sections, from which the image data are read out, using the offset.

Abstract: A monitoring camera apparatus, having a camera for recording a monitoring region with at least one object from a recording position of the camera. The apparatus also includes an actuator for changing the recording position of the camera and a control device for driving the actuator and the camera. A first image is recordable in a first recording position of the camera, and a second image is recordable in a second recording position of the camera. The first and second images show at least one identical subsection with the at least one object of the monitoring region as a common subsection. An evaluation device for evaluating the images of the camera is configured to determine depth information concerning the at least one object in the common subsection from the first and second images.

Abstract: A surveillance camera is positioned and positionable at a stationary surveillance position for monitoring. The surveillance camera has a calibration tool that is constructed or configured for ascertaining the stationary surveillance position of the surveillance camera.

Abstract: A machine tool device having a monitoring unit for monitoring at least one machine tool monitoring range, the monitoring unit having an evaluation unit. The evaluation unit has a computing unit which is provided to distinguish at least two motions in the machine tool monitoring range.

Abstract: A chassis testing unit (2) according to the present invention, in particular a shock absorber testing unit, for a vehicle on a test set-up (4) includes at least one correlation sensor (14-18), having an associated lens, situated at the side of the test set-up (4). The correlation sensor (14-18) is directed toward the test set-up (4), and is designed to detect a time sequence of images of a section of a motor vehicle (6), in particular of the body of the motor vehicle (6) and of the motor vehicle wheel, moving on the test set-up (4), and to determine directional velocity components therefrom. The chassis testing unit also includes a data processing unit which is connected to the correlation sensor or correlation sensors (14-18), and which is designed to determine the motion of the motor vehicle, in particular of the body of the motor vehicle (6) and of the motor vehicle wheel, on the basis of the directional velocity components of the correlation sensor or correlation sensors (14-18).

Abstract: A hand-held jigsaw includes a saw blade and control element for automating a tracking the saw blade, the hand-held jigsaw, or both along layout lines. A sensor, preferably a camera unit, detects a layout line provided on a work piece.

Abstract: A method for assisting a driver in lane guidance of a vehicle on a roadway includes: displaying a recorded image to the driver on a display unit, which image represents the vehicle surroundings; reading in an operating signal input on a user interface by the driver; selecting an object contained in the image, using the operating signal; displaying a mark on the display unit, the mark being displayed in an area of the image which represents the object; using the object for determining at least one longitudinal control parameter for a driving route to be traveled by the vehicle in order to assist the driver in lane guidance.

Abstract: A blind spot detection system. The system includes a camera mounted at the rear of a vehicle, a controller coupled to the camera, and an indicator coupled to the controller. The camera is configured to capture images in a field-of-view to the rear of the vehicle. The controller is configured to receive a signal from the camera indicative of the images, and controller determineg when a second vehicle in the images enters a blind spot of the vehicle. The controller activates the indicator when the second vehicle enters the blind spot of the vehicle.

Abstract: An image processing method is described for determining depth information from at least two input images recorded by a stereo camera system, the depth information being determined from a disparity map taking into account geometric properties of the stereo camera system, characterized by the following method steps for ascertaining the disparity map: transforming the input images into signature images with the aid of a predefined operator, calculating costs based on the signature images with the aid of a parameter-free statistical rank correlation measure for ascertaining a cost range for predefined disparity levels in relation to at least one of the at least two input images, performing a correspondence analysis for each point of the cost range for the predefined disparity levels, the disparity to be determined corresponding to the lowest costs, and ascertaining the disparity map from the previously determined disparities.

Abstract: A hand-held jigsaw includes a saw blade and control element for automating a tracking the saw blade, the hand-held jigsaw, or both along layout lines. A sensor, preferably a camera unit, detects a layout line provided on a work piece.

Abstract: A chassis testing unit (2) according to the present invention, in particular a shock absorber testing unit, for a vehicle on a test set-up (4) includes at least one correlation sensor (14-18), having an associated lens, situated at the side of the test set-up (4). The correlation sensor (14-18) is directed toward the test set-up (4), and is designed to detect a time sequence of images of a section of a motor vehicle (6), in particular of the body of the motor vehicle (6) and of the motor vehicle wheel, moving on the test set-up (4), and to determine directional velocity components therefrom. The chassis testing unit also includes a data processing unit which is connected to the correlation sensor or correlation sensors (14-18), and which is designed to determine the motion of the motor vehicle, in particular of the body of the motor vehicle (6) and of the motor vehicle wheel, on the basis of the directional velocity components of the correlation sensor or correlation sensors (14-18).

Abstract: A machine tool device having a monitoring unit for monitoring at least one machine tool monitoring range, the monitoring unit having an evaluation unit. The evaluation unit has a computing unit which is provided to distinguish at least two motions in the machine tool monitoring range.

Abstract: A method, a device, a system, and a computer program product for visualizing image data, about which there exists at least one piece of additional information are described. The steps performed for visualizing include displaying the image data as an image data image having pixels, the display further including: superimposed with respect to the image data image, at least partial display of additional information corresponding to individual pixels for generating an image data image enriched with and/or superimposed with additional information. Corresponding components are provided for visualization, in particular a display device designed for displaying further information such as additional information and the like superimposed with respect to the image data.

Abstract: An image processing device for detecting contrast transition comprises a digital imaging unit as an optical sensor unit, the digital sensor signals of which are processed in an evaluation unit.

Abstract: A machine tool safety device has a recognition unit which is provided for recognizing an application situation for a machine tool. The recognition unit includes an imaging unit for monitoring a first safety range, and a sensor unit, which is different from the imaging unit, for monitoring a second safety range.