Invention Grant
- Patent Title: Systems and methods for generating 3D models from drone imaging
-
Application No.: US17838082Application Date: 2022-06-10
-
Publication No.: US12080024B2Publication Date: 2024-09-03
- Inventor: Matthew Laurence Arksey , Deon Blaauw , Lucas Thomas Hahn , John Gordon McQueen , Satoshi Nakajima , Guy David Byron Shefner , Richard Chia Tsing Tong
- Applicant: NETDRONES, INC.
- Applicant Address: US WA Kirkland
- Assignee: NETDRONES, INC.
- Current Assignee: NETDRONES, INC.
- Current Assignee Address: US WA Kirkland
- Agency: MORRISON & FOERSTER LLP
- Main IPC: G06T7/73
- IPC: G06T7/73 ; B64C39/02 ; G01C15/00 ; G05D1/00 ; G06N20/00 ; G06T17/10 ; G06V20/17 ; G08G5/00 ; H04B7/185 ; H04B17/318 ; H04W4/02 ; H04W4/40 ; H04W24/08 ; H04W28/24 ; H04W64/00 ; B64U10/13 ; B64U80/86 ; B64U101/20 ; B64U101/30 ; H04W84/04 ; H04W84/12

Abstract:
A method comprising receiving a plurality of images of a scene captured by at least one drone; identifying features within the plurality of images; identifying similar images of the plurality of images based on the features identified within the plurality of images; comparing the similar images based on the features identified within the similar images to determine a proportion of features shared by the similar images; selecting a subset of the plurality of images that have a proportion of shared features that meets a predetermined range; generating a first 3D model of the scene from the subset of images using a first 3D model building algorithm; generating a second 3D model of the scene from the subset of images using a second 3D model building algorithm; computing errors for the first and second 3D models; and selecting as the model of the scene the first or second 3D model.
Public/Granted literature
- US20220398806A1 SYSTEMS AND METHODS FOR GENERATING 3D MODELS FROM DRONE IMAGING Public/Granted day:2022-12-15
Information query