Abstract: A method for generating a photogrammetric corridor map from a set of input images by recovering a respective pose of each image, wherein a pose includes a position and an orientation information of the underlying camera, including steps of: a) receiving a set of input images, b) defining a working set, c) initializing an image cluster, d) further growing the image cluster: d1) selecting one image from the working set that features overlap with at least one image already in the cluster, e) continuing with step b) if there remain images in the working set; if not, f) generating and providing as output the corridor map using the recovered camera poses.

Abstract: An aeration flap is automatically controlled in a fully variable manner in a vehicle. A target value is read for a flap position or strength of an airflow of an aeration outlet. A plurality of configurations of aeration flap positions are provided wherein each configuration assigns a resultant noise level and a resultant energy demand for each combination of aeration flap positions. A weighting between noise level and energy demand is specified. Each of the read target values are adapted for a flap position or strength of an airflow according to the specified weighting. The development of noise in the vehicle may be influenced advantageously as a result.