Geenee Gmbh

Tomtom Global Content B.v.

Geenee Ug

Philipp Holzschneider

Thorsten Otto Wolfgang Magers

Hannes Priehn

Olaf Booij

Michael Hofmann

Dimitri Schachmann

Tinosch Kolagheichi-Ganjineh

Sebastian Ihlefeld

Nicolau Leal Werneck

Sergej Mann

A method and system for determining a geographical location and orientation of a vehicle travelling through a road network is disclosed. The method comprises obtaining, from one or more cameras associated with the vehicle travelling through the road network, a sequence of images reflecting the environment of the road network on which the vehicle is travelling, wherein each of the images has an associated camera location at which the image was recorded. A local map representation representing an area of the road network on which the vehicle is travelling is then generated using at least some of the obtained images and the associated camera locations. The generated local map representation is compared with a section of a reference map, the reference map section covering the area of the road network on which the vehicle is travelling, and the geographical location and orientation of the vehicle within the road network is determined based on the comparison. Methods and systems for generating and/or updating an electronic map using data obtained by a vehicle travelling through a road network represented by the map are also disclosed.

Method and system for video-based positioning and mapping utilizing a pixel wise segmentation on an image of a detected object

Method and system for video-based positioning and mapping

Methods and systems are described herein that allow a user to capture a single image snapshot from video, print, or the world around him or her, and obtain additional information relating to the media itself or items of interest displayed in the snapshot. A fingerprint of the snapshot is used as a query and transmitted to the server. Image Feature-Based Recognition, as described herein, uses a feature index to identify a smaller set of candidate matches from a larger database of images based on the fingerprint. Novel methods and systems using a distance metric and a radical hash table design exploit probabilistic effects and allow distinct image features to be preferred over redundant ones, allowing only the more distinctive data points to remain resident within the index, yielding a lean index that can be quickly used in the identification process.

Systems and methods for image-feature-based recognition

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Berlin, Germany

Philipp Holzschneider