18892296. Unmanned Aerial Vehicle-Based Semantic Understanding For Structure Inspection (Skydio, Inc.)
Unmanned Aerial Vehicle-Based Semantic Understanding For Structure Inspection
Organization Name
Inventor(s)
Adam Parker Bry of Redwood City CA US
Hayk Martirosyan of San Francisco CA US
Vincent Lecrubier of Lisbon PT
Unmanned Aerial Vehicle-Based Semantic Understanding For Structure Inspection
This abstract first appeared for US patent application 18892296 titled 'Unmanned Aerial Vehicle-Based Semantic Understanding For Structure Inspection
Original Abstract Submitted
An unmanned aerial vehicle (UAV) performs operations to semantically understand components of a structure under inspection. During an exploration inspection of the structure, a camera of the UAV captures images of the structure. Components of the structure are determined based on the images and a taxonomy associated with the structure, for example, using a computer vision process and a machine learning model. A visual representation of the components (e.g., a semantic scene graph, such as a three-dimensional graphical representation of a hierarchical text representation) is generated and output to a user device in communication with the UAV to enable selections, via a graphical user interface output for display at the user device, of ones of the components for further inspection using the UAV.