Systems and methods for building a virtual representation of a location

A system configured to generate a virtual representation of a location with spatially localized information of elements within the location being embedded in the virtual representation, the system comprising one or more hardware processors configured by machine-readable instructions to:

• receive description data of a location, the description data being generated via at least one of a camera, a user interface, an environment sensor, and an external location information database, the description data comprising a plurality of images;
• generate, via a machine learning model and/or a geometric model, a 3-dimensional (3D) representation of the location and elements therein, the machine learning model being configured to receive the plurality of image as input and predict geometry of the location and the elements therein to form the 3D model;
• obtain, via a database or a user, heuristic information associated with one or more elements detected within the location, the heuristic information comprising dimension data associated with a element;
• estimate, based on the heuristic information and geometric correlation between the plurality of images, a scale factor for adjusting sizes of the elements in the images;
• estimate, based on the scale factor, dimensions of the elements within the location;
• and
• update, based on the estimated scale factor and the estimated dimensions, the virtual representation of the location by adjusting sizes of the elements within the location and annotating the 3D model with estimated dimensions of the elements of the location.

A system configured to generate a virtual representation of a location with spatially localized information of elements within the location being embedded in the virtual representation, the system comprising one or more hardware processors configured by machine-readable instructions to:

• receive description data of a location, the description data being generated via at least one of a camera, a user interface, an environment sensor, and an external location information database, the description data comprising a plurality of images, and pose matrices;
• receive metadata associated elements within the location;
• generate, via a machine learning model and/or a geometric model, a 3-dimensional (3D) representation of the location and elements therein, the machine learning model being configured to receive the plurality of image and pose matrices as inputs and predict geometry of the location and the elements therein to form the 3D model;
• and
• generate, based on the 3D model of the location, a virtual representation of the location by annotating the 3D model with spatially localized metadata associated with the elements within the location, and semantic information of the elements within the location, the virtual representation being editable by a user to allow modifications to the spatially localized metadata.