	US 12,276,500 B2
	Control point identification system
Bernard J. Michini, San Francisco, CA (US); Brett Michael Bethke, Millbrae, CA (US); and Hui Li, San Francisco, CA (US)
Assigned to Skydio, Inc., San Mateo, CA (US)
Filed by Skydio, Inc., San Mateo, CA (US)
Filed on Jul. 12, 2023, as Appl. No. 18/351,287.
Application 18/351,287 is a continuation of application No. 17/478,220, filed on Sep. 17, 2021, granted, now 11,725,940.
Application 17/478,220 is a continuation of application No. 15/396,096, filed on Dec. 30, 2016, granted, now 11,150,089, issued on Oct. 19, 2021.
Claims priority of provisional application 62/273,822, filed on Dec. 31, 2015.
Prior Publication US 2023/0358537 A1, Nov. 9, 2023
Int. Cl. G01C 15/00 (2006.01); G01C 11/02 (2006.01); G01C 15/02 (2006.01); B64U 101/30 (2023.01)

CPC G01C 15/02 (2013.01) [G01C 11/02 (2013.01); B64U 2101/30 (2023.01)]

20 Claims

1. A method, comprising:

receiving vehicle data including precise locations of a vehicle and corresponding location timestamps indicative of times that the vehicle was at the precise locations;

receiving image data including multiple images of the vehicle, corresponding locations of a capture device when the capture device captured each of the multiple images, and corresponding capture timestamps that indicates a time that each of the multiple images was captured;

identifying a landmark in one of the multiple images;

identifying the landmark as a control point;

correlating the vehicle data with the image data to identify precise location information;

associating, in a data store, the control point with at least a portion of the precise location information;

receiving aerial images captured by a first device;

identifying the landmark in an aerial image of the aerial images; and

determining, based on data in the data store, that the landmark is identified as the control point.