Abstract: A method and system for generating a virtual representation of a physical scene, including receiving scene data corresponding to the physical scene, processing the scene data to determine scene components and scene priors corresponding to the scene components, generating, by a plurality of neural networks, dense geometric representations based at least in part on the scene priors, where each dense geometric representation corresponds to a scene component in the scene components, generating a virtual model of the physical scene based at least in part on the dense geometric representations, and generating a virtual representation of the physical scene based at least in part on the scene data, the virtual representation being aligned with the virtual model.

Abstract: A method and system for generating a virtual representation of a physical scene, including receiving scene data corresponding to the physical scene, processing the scene data to determine scene components and scene priors corresponding to the scene components, generating, by a plurality of neural networks, dense geometric representations based at least in part on the scene priors, where each dense geometric representation corresponds to a scene component in the scene components, generating a virtual model of the physical scene based at least in part on the dense geometric representations, and generating a virtual representation of the physical scene based at least in part on the scene data, the virtual representation being aligned with the virtual model.

Abstract: A method for autonomous navigation of a movable robotic unit, in particular at least as part of a SLAM method. A plurality of virtual points from the surroundings around the detection unit is detected using a detection unit. An optimization problem of graph theory is solved using a control and/or regulation unit for ascertaining a position and/or a movement of the robotic unit and/or for detecting the surroundings as a function of the detected virtual points. At least one virtual plane is ascertained, using the control and/or regulation unit, as a function of at least one group of virtual points of the plurality of virtual points. For ascertaining a position and/or a movement of the robotic unit and/or for representing the surroundings, the ascertained virtual plane is used for solving the optimization problem of graph theory using the control and/or regulation unit.

Abstract: A method and system for generating a virtual representation of a physical scene, including receiving scene data corresponding to the physical scene, processing the scene data to determine scene components and scene priors corresponding to the scene components, generating, by a plurality of neural networks, dense geometric representations based at least in part on the scene priors, where each dense geometric representation corresponds to a scene component in the scene components, generating a virtual model of the physical scene based at least in part on the dense geometric representations, and generating a virtual representation of the physical scene based at least in part on the scene data, the virtual representation being aligned with the virtual model.

Abstract: A method for determining a visual scene virtual representation and a highly accurate visual scene-aligned geometric representation for virtual interaction.

Abstract: A method for determining a visual scene virtual representation and a highly accurate visual scene-aligned geometric representation for virtual interaction.