Autodesk, Inc.

Keith Alfaro

Manuel Martinez Alonso

Yan Fu

Simranjit Singh Kohli

Graceline Regala Amour

Emmanuel Gallo

A method and system provide the ability to generate and use synthetic data to extract elements from a floor plan drawing. A room layout is generated. Room descriptions are used to generate and place synthetic instances of symbol elements in each room. A floor plan drawing is obtained and pre-processed to determine a drawing area. Based on the synthetic data symbols in the floor plan drawing are detected. Orientations of the detected symbols are also detected. Based on the detected symbols and orientations, building information model (BIM) elements are fetched and placed in the floor plan drawing.

Synthetic data generation for machine learning tasks on floor plan drawings

One embodiment of the present invention sets forth a technique for extracting data from an architectural drawing. The technique includes performing one or more operations via one or more machine learning models to extract a first image of a floorplan area from the architectural drawing. The technique also includes generating a boundary segmentation based on the first image of the floorplan area, wherein the boundary segmentation includes one or more boundary types for one or more portions of the floorplan area.

Machine learning techniques for extracting floorplan elements from architectural drawings

Building information model (BIM) element extraction from floor plan drawings using machine learning

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Brooklyn, NY, United States of America

Keith Alfaro