Vricon Systems Aktiebolag

Saab Ab

Vricon Systems Ab

Maxar International Sweden Ab

Johan Borg

Folke Isaksson

Leif Haglund

Ingmar Andersson

Per Carlbom

Johan Bejeryd

Ola Nygren

Anton Nordmark

Sanna Ringqvist

Ingemar Andersson

Magnus Brege

Ulf Erlandsson

Adam Tengblad

Måns Hagström

Michael Olofsson

Fredrik Rosenqvist

The present invention relates to a method and an arrangement for providing a 3D model of an environment. The method comprises the step of forming a mesh modelling the environment in three dimensions, said mesh comprising nodes interconnected by edges and having surfaces boarded by the edges, wherein each node is associated to a 3D coordinate in a geographical coordinate system, determining for a plurality of the nodes and/or surfaces and/or edges in the mesh a mesh uncertainty and associating the determined mesh uncertainty to the corresponding node and/or surface and/or edge.

Method and arrangement for providing a 3D model

A system and method for mixing a scene with a virtual scenario. An image capturing unit is arranged to capture at least one image so as to cover the scene from a first viewpoint. An image representation generation unit is arranged to generate at least one image representation based on the captured image. A game engine unit is arranged to generate a virtual scenario. An image processing unit is arranged to adapt the at least one image representation based on the generated virtual scenario so as to provide a virtual video sequence.

System and method for mixing a scene with a virtual scenario

The present invention relates to a method and arrangement for developing a 3D model of an environment. The method comprises steps of providing a plurality of overlapping images of the environment, each image associated of navigation data, providing distance information, said LIDAR information comprising a distance value and navigation data from a plurality of distance measurements, and developing the 3D model based on the plurality of overlapping images and the distance information. The step of developing the 3D model comprises the steps of providing the 3D model based on the plurality of overlapping images; and updating the 3D model with the distance information using an iterative process.

Method and arrangement for developing a three dimensional model of an environment

The present invention relates to a system () and method for determining a relation between a first scene and a second scene. The method comprises the steps of generating at least one sensor image of a first scene with at least one sensor; accessing information related to at least one second scene, said second scene encompassing said first scene, and matching the sensor image with the second scene to map the sensor image onto the second scene. The step of accessing information related to the at least one second scene comprises accessing a 3D map comprising geocoded 3D coordinate data. The mapping involves associating geocoding information to a plurality of positions in the sensor image based on the coordinate data of the second scene.

Method and system for determining a relation between a first scene and a second scene

A method is provided, which comprises generating at least three images of an area of interest from at least one imaging system, the generated images being provided from at least three different angles, establishing point correspondence between the provided images. The method further involves generating at least two sets of three-dimensional information based on the provided images, wherein the at least two sets of three-dimensional information are generated based on at least two different combinations of at least two of the at least three provided images of the area of interest. The method further includes comparing the at least two sets of three-dimensional information so as to determine discrepancies, and providing information related to the imaging system or errors in the images based on the determined discrepancies.

Method and system for analyzing images from satellites

A method for classifying a terrain type in an area is provided, which comprises the steps of obtaining a plurality of overlapping aerial images of the area, calculating at least one terrain type index for each part of each of the aerial images which lies in the area, where the at least one terrain type index represents the terrain type, determining at least one terrain type index for each part of the area based on the calculated at least one terrain type index for each part of each of the aerial images, and classifying the parts of the area for which at least one pre-determined conditions is met as containing the terrain type, wherein at least one of the at least one predetermined condition relates to a value of the determined at least one terrain type index. Also provided is a system and a computer program product.

Method and system for classifying a terrain type in an area

A method for estimating values for a set of parameters of an imaging system is presented. At least two pictures having an overlapping area are taken with the imaging system from different positions. Pulses are sent out to the area, the reflected pulses are detected and distances between a sender of the pulses and the respective point where the pulses were reflected are calculated based on the travel time of the pulses. First information about the area is calculated based on the pictures. Second information related to the calculated distances to the area is also calculated. Values for quantities contained in the first and second information are compared. If the value for a quantity obtained from the first information differs from the value obtained from the second information, values and/or an error estimate for the set of parameters of the imaging system is calculated based on the difference.

Method and an apparatus for estimating values for a set of parameters of an imaging system

The invention relates to a method for building a 3D model of an area of interest on the surface of a planet. The method comprises providing a plurality of 2D images from satellites, where each 2D image out of the plurality of 2D images at least partly covers the area of interest. Also, each subarea of the area of interest is covered by at least two images, taken from different angles, out of the plurality of 2D images. Bundle adjustments are performed for the plurality of 2D images and the area of interest is divided into parts. For each part of the area of interest at least one combination and preferably all possible combinations out of two images covering that part of the area of interest are taken. Said two images are taken from the at least two images, taken from at least two different angles, out of the plurality of 2D images. Further, for each part of the area, point matching correspondence is established for a set of points for each such combination of two images. The sets of points are combined if more than one set of points exists. Even further, for each part of the area, a 3D model of said part of the area of interest is built based on the combined set of points. The 3D models from each part of the area of interest are combined to a 3D model of the whole area of interest. The invention also relates to a system, a computer program and a computer program product.

Method and a system for building a three-dimensional model from satellite images

The invention relates to a method for identifying a difference between a first 3D model of an environment and a second 3D model of the environment. The first and second 3D model each comprise a plurality of points or parts, wherein each point or part of the first and second model comprises geometrical information and texture information. Corresponding points or parts of the first and second 3D model are matched based on the geometrical information and/or the texture information. The matched points or parts of the first and second model are compared to determine at least one difference value based on the geometrical information and the texture information of the first and second model. A difference between the first and second model is identified if the at least one difference value exceeds a predetermined value. The invention also relates to an arrangement, a computer program, and a computer program product.

Method and arrangement for identifying a difference between a first 3D model of an environment and a second 3D model of the environment

Various embodiments relate to a method () and system for geo-referencing at least one sensor image. The method comprises the steps of: generating at least one sensor image of a first scene with at least one sensor, accessing a 3D model of the environment comprising geo-coded 3D coordinate data and related to at least one second scene, said second scene encompassing said first scene, matching the sensor image with the 3D model find a section of the 3D model where there is a match between the first and the second scenes, geo-referencing the sensor image based on the geo-coded 3D coordinate data of the found section of the 3D model, and determining a measure related to an uncertainty in the matching between the sensor image and the 3D model.

Method and system for geo-referencing at least one sensor image

A method for classifying a terrain type in an area is provided, which method comprises the steps of: obtaining a plurality of overlapping aerial images of the area; calculating at least one terrain type index for each part of each of the aerial images which lies in the area, where the at least one terrain type index represents the terrain type; determining at least one terrain type index for each part of the area based on the calculated at least one terrain type index for each part of each of the aerial images; and classifying the parts of the area for which at least one pre-determined conditions is met as containing the terrain type, wherein at least one of the at least one predetermined condition relates to a value of the determined at least one terrain type index. An associated system and computer program product are also provided.

An automated three dimensional mapping method estimating three dimensional models taking advantage of a plurality of images. Positions and attitudes for at least one camera are recorded when images are taken. The at least one camera is geometrically calibrated to indicate the direction of each pixel of an image. A stereo disparity is calculated for a plurality of image pairs covering a same scene position setting a disparity and a certainty measure estimate for each stereo disparity. The different stereo disparity estimates are weighted together to form a 3D model. The stereo disparity estimates are reweighted automatically and adaptively based on the estimated 3D model.

Automated three dimensional mapping method

A three dimensional model method based on combination of ground based images and images taken from above. An existing 3D model based on images taken from above is matched with images taken from ground level. All images including information about position and attitudes of the camera when the images from ground level and the images taken from above were taken and direction of each pixel. The method offers an automatically carried out imaging solving or at least mitigating occlusion problems.

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Linkoeping, Sweden

Johan Borg