Geocue Group, Inc.

Other

Carl Steven Riddell

Lewis N Graham, Jr

Derek Morris

Kyle Ellison

Hai Quang Dinh

Bradley K Herman

Nancy Graham

Lewis Graham

A system for synchronizing events has a first subsystem that detects, measures, or generates a first set of events and the first subsystem has a first clock for time-stamping each event detected, measured, or generated by the first subsystem. The system further has a second subsystem that detects, measures, or generates a second set of events and the second subsystem has a second clock not synchronized to the first clock. The second clock is for time-stamping events detected, measured, or generated by the second subsystem. The first set of events is related to the second set of events. The system further has a processor that correlates the first set of events with the second set of events to determine a value indicative of a temporal shift between a time of occurrence of the first set of events and a time of occurrence of the second set of events. Also, the processor temporally matches the first set of events to the second set of events and outputs data indicative of the matching between the first set of events to the second set of events to an output device.

Systems and methods for synchronizing events in shifted temporal reference systems

A drone system has a camera mounted to a frame of a drone, the camera configured to acquire image data upon receipt of a signal from a flight controller and a precision location device configured for continuously obtaining location data. Additionally, the drone system has a computing device configured for receiving a signal indicating that an image has been acquired, the computing device configured for transmitting a signal to a precision location device indicating that an image has been acquired, and the precision location device is further configured to record event data associated with a time indicating when the image was acquired.

Aerial imagery systems and methods

A plurality of algorithms for interpreting and displaying point cloud data are disclosed. Typically, a virtual grid is constructed over point cloud data, with intersections of the grid at a predetermined spacing that may be dependent on density of the point cloud. Several methods are implemented that utilize tuple data from tuples near a respective intersection to populate intersections of the grid with data. In most embodiments, the intersections of the grid correspond to pixels in a raster image. The tuple data may be manipulated to determine Nyquist spacing of points in a point cloud and portions thereof, develop monoscopic and stereoscopic images, and enhance selected features of an image. Additional algorithms are disclosed that reduce storage and computational requirements during processing of point clouds. Such algorithms use a tiled grid structure wherein processing and data storage proceeds in one or a few of the tiles at a time.

Visualization and storage algorithms associated with processing point cloud data

Growing community of inventors

Madison, AL, United States of America

Carl Steven Riddell