Provided are methods for aligning a raster map of a geographic area with a geodata map of the geographic area. A method includes obtaining, using at least one processor, the raster map of the geographic area. A distance map corresponding to the raster map of the geographic area may be generated. The raster map may be aligned with a geodata map of the geographic area by deforming the geodata map relative to the distance map in order to maximize a coverage of the geodata map over the raster map. An updated geodata map of the geographic area may be generated based on the aligning. Related systems and computer program products are also provided.

An own-position estimating device for estimating an own-position of a moving body by matching a feature extracted from an acquired image with a database in which position information and the feature are associated with each other in advance, includes an evaluation result acquiring unit acquiring an evaluation result obtained by evaluating matching eligibility of the feature in the database, and a processing unit processing the database on the basis of the evaluation result acquired by the evaluation result acquiring unit.

Aspects of the disclosure provide solutions for determining a position of an object in a video frame. Examples include: receiving a segmentation mask of an identified object in a video frame; adjusting a 3D representation of a moveable part of the object based on constraints for the moveable part; comparing the 3D model of the object to the segmentation mask of the object; determining a match between the 3D model of the object to the segmentation mask of the object is above a threshold; and based on the match being above the threshold, determining a position of the object.

A method for displaying an environment of a vehicle on a display includes: recording the environment with at least two cameras, each having a different field of view, wherein fields of view of adjacent cameras overlap; creating a panoramic image from at least two images taken by differing cameras, the images being projected into a reference plane for creating the panoramic image; ascertaining depth information pertaining to an object in the environment by triangulation from at least two differing individual images taken by the same camera; and generating an overlay structure as a function of the ascertained depth information, the overlay structure having been uniquely assigned to an imaged object; and, representing the created panoramic image, containing the at least one object, and the at least one generated overlay structure on the display such that the overlay structure is displayed on, and/or adjacent to, the assigned object.

The invention relates to a camera system (1) for a vehicle (2). The camera system (1) is configured to acquire image data of a surrounding of the vehicle (2) and comprises a camera (10) and a control module (20). The control module (20) is configured to determine, whether a calibration of an intrinsic parameter of the camera system (1) is required, by determining an error in a back projection, a forward projection and/or a reprojection of the image data and by determining whether the error exceeds a predefined threshold.

To estimate the top surface of a measurement target on the basis of a data point group that corresponds to the top surface of a measurement target and is obtained using a laser scanner. This top surface estimation method for hoisting loads and by acquiring, using the laser scanner, data point groups in a hoisting load region which includes a hoisting load and an object from above the hoisting load and the object, dividing the hoisting load region into layers which constitute a plurality of groups which have a prescribed thickness in the vertical direction, and allocating the acquired data point groups to the plurality of layer groups, and estimating the top surfaces of the hoisting load and the object in each layer group on the basis of the data point groups allocated to the plurality of layer groups.

An example control system includes a memory and at least one processor to obtain image data from a given region and perform image analysis on the image data to detect a set of objects in the given region. For each object of the set, the example control system may classify each object as being one of multiple predefined classifications of object permanency, including (i) a fixed classification, (ii) a static and fixed classification, and/or (iii) a dynamic classification. The control system may generate at least a first layer of a occupancy map for the given region that depicts each detected object that is of the static and fixed classification and excluding each detected object that is either of the static and unfixed classification or of the dynamic classification.

A mapping system receives sensor data from an unmanned aerial vehicle. The mapping system further receives images from a camera of the unmanned aerial vehicle. The mapping system determines an altitude of the camera based on the sensor data. The mapping system calculates a footprint of the camera based on the altitude of the camera and a field of view of the camera. The mapping system constructs a localized map based on the images and the footprint of the camera.

A method for monocular depth/pose estimation in a camera agnostic network is described. The method includes projecting lifted 3D points onto an image plane according to a predicted ray vector based on a monocular depth model, a monocular pose model, and a camera center of a camera agnostic network. The method also includes predicting a warped target image from a predicted depth map of the monocular depth model, a ray surface of the predicted ray vector, and a projection of the lifted 3D points according to the camera agnostic network.

Described herein are techniques that may be used to provide for automatic obfuscation of one or more objects in a media data. Such techniques may comprise receiving, from a data source, a media data comprising a depiction of a number of objects, identifying, within the received media data, a set of objects associated with the media data, and storing an indication of one or more locations of the objects in the set of objects within the media data with respect to time. Upon receiving a request for the media data, such techniques may further comprise updating the media data by applying an obfuscation effect to the one or more locations with respect to time, and providing the updated media data in response to the request.