The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 28, 2020

Filed:

Apr. 17, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Gregory F. Boland, Katonah, NY (US);

James R. Kozloski, New Fairfield, CT (US);

Yu Ma, White Plains, NY (US);

Justin G. Manweiler, Somers, NY (US);

Kevin E. Siemonsen, New Fairfield, CT (US);

Umut Topkara, White Plains, NY (US);

Katherine Vogt, New York, NY (US);

Justin D. Weisz, Stamford, CT (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/10 (2006.01); B64C 39/02 (2006.01); G05D 1/00 (2006.01); G08G 5/00 (2006.01); G06N 20/00 (2019.01); G06F 17/27 (2006.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/104 (2013.01); B64C 39/024 (2013.01); G05D 1/0011 (2013.01); G05D 1/0016 (2013.01); G05D 1/0088 (2013.01); G06F 17/2705 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G08G 5/0034 (2013.01); G08G 5/0069 (2013.01); B64C 2201/145 (2013.01);
Abstract

A method for controlling a drone includes receiving a request for information about a spatial location, generating data requests, configuring a flight plan and controlling one or more drones to fly over the spatial location to obtain data types based on the data requests, and extracting and analyzing data to answer the request. The method can include extracting data points from the data types, obtaining labels from a user for one or more of the data points, predicting labels for unlabeled data points from a learning algorithm using the labels obtained from the user, determining the predicted labels are true labels for the unlabeled data points and combining the extracted data, the user labeled data points and the true labeled data points to answer the request for information. The learning algorithm may be active learning using a support vector machine.


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