Skydio, Inc.

Unmanned Innovation, Inc.

Robotire, Inc.

The Boeing Company

Bauer, Mark

Michini, Bernard J.

Downey, Jonathan

Darolfi, Victor

Baranowski, Robert

Bernard J Michini

Jonathan Downey

Mark Patrick Bauer

Brett Michael Bethke

Fabien Blanc-Paques

Hui Li

Brian Richman

Edward Dale Steakley

Victor Darolfi

Joseph Moster

Robert Baranowski

Donald Curry Weigel

James E Ogden

Volkan Gurel

Alan Jay Poole

Logan Kaminski

Jonathan Anders Lovegren

Patrick Michael Bouffard

Eric David Johnson

Jesse Daniel Kallman

Justin Eugene Kuehn

Donna Okazaki

Fabien Blanc-Pâques

John Lyle Vian

Tuna Toksoz

Matthew Aaron Vavrina

Jonathan Patrick How

Joshua Redding

Logan Cummings

Matthew A Michini

John Bressler

James Ogden

Methods, systems and apparatus, including computer programs encoded on computer storage media for an unmanned aerial vehicle aerial survey. One of the methods includes receiving information specifying a location to be inspected by an unmanned aerial vehicle (UAV), the inspection including the UAV capturing images of the location. Information describing a boundary of the location to be inspected is obtained. Inspections to be assigned to the location are determined, with the inspection legs being parallel and separated by a particular width. A flight pattern is determined based on a minimum turning radius of the UAV, with the flight pattern specifying an order each inspection leg is to be navigated along, and a direction of the navigation.

Unmanned aerial vehicle area surveying

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for reserving airspace for UAV operations. In some implementations, a flight planning system can reserve and allocate airspace for unmanned aerial vehicle (UAV) operations. For example, a UAV operator device can submit a flight plan to the flight planning system. The flight planning system can submit a flight authorization request to an airspace management system to reserve airspace necessary for the flight plan. The flight planning system can receive approval and/or a reservation of the airspace for the flight plan from the airspace management system, generate a flight data package, and send the flight data package to the operator's device.

Unmanned aerial vehicle airspace reservation and allocation system

A portion of a vertical structure is determined for inspection by an unmanned aerial vehicle. A flight plan including safe locations around the vertical structure is determined. Each of the safe locations is associated with a respective column of waypoints. The unmanned aerial vehicle navigates according to the flight plan by navigating to a first safe location of the safe locations, navigating vertically along a first column associated with the first safe location, activating sensors to obtain respective sensor information at at least some of the waypoints associated with the first safe location, navigating to a second safe location of the safe locations, navigating vertically along a second column associated with the second safe location, and activating the sensors to obtain respective sensor information at at least some of the waypoints associated with the second safe location.

Unmanned aerial vehicle inspection system

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle visual line of sight flight operations. A UAV computer system may be configured to ensure the UAV is operating in visual line of sight of one or more ground operators. The UAV may confirm that it has a visual line of sight with the one or more user devices, such as a ground control station, or the UAV may ensure that the UAV does not fly behind or below a structure such that the ground operator would not be able to visually spot the UAV. The UAV computer system may be configured in such a way that UAV operation will maintain the UAV in visual line of sight of a base location.

Unmanned aerial vehicle visual line of sight control

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle beyond visual line of sight (BVLOS) flight operations. In an embodiment, a flight planning system of an unmanned aerial vehicle (UAV) can identify handoff zones along a UAV flight corridor for transferring control of the UAV between ground control stations. The start of the handoff zones can be determined prior to a flight or while the UAV is in flight. For handoff zones determined prior to flight, the flight planning system can identify suitable locations to place a ground control station (GCS). The handoff zone can be based on a threshold visual line of sight range between a controlling GCS and the UAV. For determining handoff zones while in flight, the UAV can monitor RF signals from each GCS participating in the handoff to determine the start of a handoff period.

Unmanned aerial vehicle beyond visual line of sight control

Methods, systems, and program products of inspecting solar panels using unmanned aerial vehicles (UAVs) are disclosed. A UAV can obtain a position of the Sun in a reference frame, a location of a solar panel in the reference frame, and an orientation of the solar panel in the reference frame. The UAV can determine a viewing position of the UAV in the reference frame based on at least one of the position of the Sun, the location of the solar panel, and the orientation of the solar panel. The UAV can maneuver to the viewing position and point a thermal sensor onboard the UAV at the solar panel. The UAV can capture, by the thermal sensor, a thermal image of at least a portion of the solar panel. A server onboard the UAV or connected to the UAV can detect panel failures based on the thermal image.

Solar panel inspection using unmanned aerial vehicles

Landmarks are identified based on images of an area. A path is generated for a vehicle to traverse the area that includes the landmarks. Precise locations information indicative of locations of the vehicle and captured by a high accuracy position receiver of the vehicle while the vehicle traverses the path are received from the vehicle. At least some of the precise locations information are associated with the landmarks. Unmanned aerial vehicle (UAV) data are received from a UAV. The UAV data include aerial images of the area captured by the UAV and UAV location information corresponding to the aerial images. A three-dimensional model of the area is generated based on at least some of the precise locations information and the aerial images.

Control point identification and reuse system

Aerial images captured by a first device are received. A landmark is identified in an aerial image of the aerial images. A determination is made, based on data in a data store, that the landmark is identified as a control point. Precise location information is associated with the control point in the data store. The precise location information indicates a location of a second device at a time that a third device that is different from the second device captured a prior image that includes the landmark. Imagery are generated using photogrammetry software based on the aerial image and the precise location information.

Control point identification system

In some implementations, a UAV flight system can dynamically adjust UAV flight operations based on thermal sensor data. For example, the flight system can determine an initial flight plan for inspecting a flare stack and configure a UAV to perform an aerial inspection of the flare stack. Once airborne, the UAV can collect thermal sensor data and the flight system can automatically adjust the flight plan to avoid thermal damage to the UAV based on the thermal sensor data.

Dynamically adjusting UAV flight operations based on thermal sensor data

A modular vehicle management system is described, comprising a controller module configured to control different types of carrier modules. The controller module includes a computer system and optionally one or more sensors. The computer system is configured to perform operations comprising detecting whether a carrier module is connected to the controller module. If the carrier module is connected to the controller module, the carrier module is authenticated. If the authentication fails, operation of the vehicle is inhibited. The control module is configured to determine carrier module capabilities including information regarding a navigation processing device, and/or a radio modem. The controller adapts to the capabilities of the controller module. Using information from the sensors and the navigation processing device, the vehicle management system navigates the vehicle.

Modular flight management system incorporating an autopilot

An unmanned aerial vehicle (UAV) system includes one or more processors and one or more computer storage media storing instructions that when executed by the one or more processors, cause the one or more processors to perform operations that include obtaining flight information of the UAV; determining one or more modifications based on the flight information; and transmitting data messages over data buses based on the one or more modifications.

Distributed unmanned aerial vehicle architecture

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle flight for performing an inspection of land, property, structures or other objects. Automated aerial surveys allow a UAV to obtain aerial data without human manual control of a UAV. For certain aerial surveys, a UAV is not capable of completing the survey without refueling, or exchanging out used batteries for fresh batteries. For such aerial surveys, a method and system is needed to allow an operator to automatically perform an aerial survey while determining battery usage and replacement. Also, in circumstances where manual control of the UAV is needed, contingency-based software controls may be needed.

Unmanned aerial vehicle flight control system

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle authorization and geofence envelope determination. One of the methods includes determining, by an electronic system in an Unmanned Aerial Vehicle (UAV), an estimated fuel remaining in the UAV. An estimated fuel consumption of the UAV is determined. Estimated information associated with wind affecting the UAV is determined using information obtained from sensors included in the UAV. Estimated flights times remaining for a current path, and one or more alternative flight paths, are determined using the determined estimated fuel remaining, determined estimated fuel consumption, determined information associated wind, and information describing each flight path. In response to the electronic system determining that the estimated fuel remaining, after completion of the current flight path, would be below a first threshold, an alternative flight path is selected.

Unmanned aerial vehicle authorization and geofence envelope determination

A flight plan of an unmanned aerial vehicle (UAV) for inspecting a structure that includes an RF transmitter is received. The structure is surveyed based on the flight plan to collect RF signal data. An RF map associated with the structure is generated based on the collected RF signal data. The flight plan is adjusted based on the generated RF map to account for detected RF signal strengths. The UAV is navigated according to the adjusted flight plan.

Adjusting a UAV flight plan based on radio frequency signal data

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle flight operations near physical structures or objects. In particular, a point cloud of the physical structure is generated using aerial images of the structure. The point cloud is then referenced to determine a flight path for the UAV to follow around the physical structure, determine whether a planned flight path to desired locations around the structure is possible, determine the fastest route to return home and land from a given position around the physical structure, determine possibility of inflight collision to surface represented in point cloud, or determine an orientation of a fixed or gimballed camera given a position of the UAV relative the point cloud.

Growing community of inventors

San Francisco, CA, United States of America

Bernard J Michini