GEO-REGISTERING AN AERIAL IMAGE BY AN OBJECT DETECTION MODEL USING MACHINE LEARNING

Patent №

US 10,691,944

Granted

2020-06-23

Filed 2018

Owner

THE BOEING COMPANY

Lab

AI components

3

ml · vision · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15984906

A method of obtaining and geo-registering an aerial image of an object of interest is provided. The method includes obtaining an aerial image by a camera onboard an aircraft. The method includes accessing an object detection model trained using a machine learning algorithm and a training set of aerial images of an object of interest, and using the object detection model to detect the object of interest in the aerial image. The object detection includes a prediction of a boundary of the object of interest depicted in the aerial image based on the defined boundary of the object of interest. The method includes accessing a data store including a geographic location of the object of interest. And the method includes geo-registering the aerial image including the prediction of the boundary of the object of interest with the geographic location of the object of interest.

Machine learningVisionPlanningG06N 3/08G06V 20/17G06F 18/21G06N 3/045G06N 3/0464G06N 3/09G06V 20/13B64U 2101/31

AI classification

Vision1.00
Planning1.00
Machine learning0.67
Knowledge representation0.01
AI hardware0.01
Natural language0.00
Speech0.00
Evolutionary computation0.00

Ownership

THE BOEING COMPANY

assignment · 458620742

Assignors

YANG, YAN

On an employer assignment, the assignors are typically the inventors.

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