Abstract: A method for automatically parking a vehicle in a parking slot involves manually driving the vehicle into the parking slot in a training step, and thereafter automatically driving the vehicle into the parking slot in a replay step. Automatically driving the vehicle into the parking slot involves detecting information of features of the environment of the vehicle corresponding to the driven trajectory, matching feature descriptors of the detected features of the environment with feature descriptors stored in the digital map, and re-localizing the vehicle against the trajectory stored in the digital map in order to navigate the vehicle along the stored trajectory into the parking slot. Automatically driving the vehicle into the parking slot is repeated multiple times, and involves deleting a feature descriptor stored in the digital map if the number of matches does not exceed a threshold after a predefined number of repetitions.

Abstract: The invention relates to a method for providing an environment image (36) on the basis of a camera image (30) of a vehicle camera (14, 16, 18, 20) of a vehicle (10) for monitoring an environment (28) of the vehicle (10), the camera image (30) comprising a camera image area having a camera resolution, for further processing, in particular by means of a driving assistance system of the vehicle (10), the method comprising the steps of: ascertaining a position of the vehicle camera (14, 16, 18, 20) on the vehicle (10), capturing at least one current motion parameter (44) of the vehicle (10), determining a current focus area (32) within the camera image (30) on the basis of the position of the vehicle camera (14, 16, 18, 20) on the vehicle (10) and on the basis of the at least one current motion parameter (44), and transferring pixels of the camera image (30) into the environment image (36), pixels from the current focus area (32) being transferred, with a first resolution, into a first image area (40) of the envi

Abstract: The invention relates to a method for capturing an object (9) in an environmental region (8) of a motor vehicle (1) based on a sequence of images (10, 11) of the environmental region (8), which are provided by means of a camera (4) of the motor vehicle (1), including the steps of: recognizing a first object feature (24) in a first image (10) of the sequence, wherein the first object feature (24) describes at least a part of the object (9) in the environmental region (8), estimating a position of the object (9) in the environmental region (8) based on a predetermined movement model, which describes a movement of the object (9) in the environmental region (8), determining a prediction feature (26) in a second image (11) following the first image (10) in the sequence based on the first object feature (24) and based on the estimated position, determining a second object feature (25) in the second image (11), associating the second object feature (25) with the prediction feature (26) in the second image (11) if a

Abstract: The invention relates to a method for recognizing a raised object on the basis of images in an environmental region of a motor vehicle, comprising: capturing a first image from a first camera and a second image from a second camera, transforming the first and second images into a common reference system, forming gradients over pixel values of pixels along gradient lines in the transformed first and second images, summing gradients along parallel summation lines to form a gradient sum, determining a first pair of the maxima of the gradient sum in the transformed first image and a second pair of the maxima of the gradient sum in the transformed second image, recognizing the raised object, if at least one distance between the maxima of the first pair in the transformed first image deviates from a distance of the maxima of the corresponding second pair in the transformed second image.

Abstract: A method for automatically parking a vehicle in a parking slot involves manually driving the vehicle into the parking slot in a training step, and thereafter automatically driving the vehicle into the parking slot in a replay step. Automatically driving the vehicle into the parking slot involves detecting information of features of the environment of the vehicle corresponding to the driven trajectory, matching feature descriptors of the detected features of the environment with feature descriptors stored in the digital map, and re-localizing the vehicle against the trajectory stored in the digital map in order to navigate the vehicle along the stored trajectory into the parking slot. Automatically driving the vehicle into the parking slot is repeated multiple times, and involves deleting a feature descriptor stored in the digital map if the number of matches does not exceed a threshold after a predefined number of repetitions.

Abstract: A clean version of the amended Abstract is shown as follows: The invention relates to a method for recognizing a raised object on the basis of images in an environmental region of a motor vehicle, comprising: capturing a first image from a first camera and a second image from a second camera, transforming the first and second images into a common reference system, forming gradients over pixel values of pixels along gradient lines in the transformed first and second images, summing gradients along parallel summation lines to form a gradient sum, determining a first pair of the maxima of the gradient sum in the transformed first image and a second pair of the maxima of the gradient sum in the transformed second image, recognizing the raised object, if at least one distance between the maxima of the first pair in the transformed first image deviates from a distance of the maxima of the corresponding second pair in the transformed second image.

Abstract: The invention relates to a method for capturing an object (9) in an environmental region (8) of a motor vehicle (1) based on a sequence of images (10, 11) of the environmental region (8), which are provided by means of a camera (4) of the motor vehicle (1), including the steps of: recognizing a first object feature (24) in a first image (10) of the sequence, wherein the first object feature (24) describes at least a part of the object (9) in the environmental region (8), estimating a position of the object (9) in the environmental region (8) based on a predetermined movement model, which describes a movement of the object (9) in the environmental region (8), determining a prediction feature (26) in a second image (11) following the first image (10) in the sequence based on the first object feature (24) and based on the estimated position, determining a second object feature (25) in the second image (11), associating the second object feature (25) with the prediction feature (26) in the second image (11) if a

Abstract: A method for operating a driver assistance system of a motor vehicle is provided. A first image sequence of a first rear environmental region of the motor vehicle is provided by a first camera system of an electronic rearview mirror and the first image sequence is displayed on a display device of the electronic rearview mirror disposed in an interior of the motor vehicle. Furthermore, a second image sequence of a second environmental region of the motor vehicle, which overlaps with the first environmental region at least in certain areas, is provided by a second camera system of an environmental capturing device. The electronic rearview mirror is then checked for presence of a malfunction by a computing device of the driver assistance system and the second image sequence is displayed on the display device of the electronic rearview mirror when the malfunction is present.

Abstract: A method for operating a driver assistance system of a motor vehicle is provided. A first image sequence of a first rear environmental region of the motor vehicle is provided by a first camera system of an electronic rearview mirror and the first image sequence is displayed on a display device of the electronic rearview mirror disposed in an interior of the motor vehicle. Furthermore, a second image sequence of a second environmental region of the motor vehicle, which overlaps with the first environmental region at least in certain areas, is provided by a second camera system of an environmental capturing device. The electronic rearview mirror is then checked for presence of a malfunction by a computing device of the driver assistance system and the second image sequence is displayed on the display device of the electronic rearview mirror when the malfunction is present.