There are approximately 35,000 abandoned and unplugged oil and gas wells in New York with no known location. Unplugged wells emit methane, a strong greenhouse gas, which has the potential to significantly contribute to global climate change and act as a pollutant chemical. A long-range UAV equipped with methane sensors, MagPike (atomic magnetometer), and LiDAR sensors successfully detected unmarked well sites using characteristic magnetic signals generated by vertical metal piping preserved in the ground. The optimal flight altitude and transect spacing was determined for detection driven by the total field strength of the Earth's magnetic field and the height of tree canopies determined by LiDAR. Traditional methods of identifying oil and gas wells are costly and less powerful in acquisition of data such as using large magnetometers attached to helicopters.

An aerial vehicle includes a liquid chemical tank, at least one spray unit, at least one actuator, a plurality of sensors, and a processing unit. The processing unit is configured to determine an air movement direction relative to a projection of the fore-aft axis onto the ground and determine an air movement speed relative to the ground, the determination comprising utilization of the speed of the aerial vehicle, the air movement direction relative to the aerial vehicle with respect to the fore-aft axis of the aerial vehicle and the air movement speed relative to the aerial vehicle. The processing unit is configured to control at least one flying operation of the aerial vehicle and/or control the at least one actuator.

A mission system for autonomous vehicle (AV) team coordination and a method of using the same are disclosed. A controller included on an AV shares mission data between two or more AVs, and in response to communication denial, generates estimated navigation trajectories for teammate AVs. A simulation outputs estimated navigation states for the teammate AVs. The estimated navigation states are identical or substantially identical to navigation states otherwise generated by controllers included on the teammate AVs. The estimated navigation trajectories are generated based on the estimated navigation states.

A method and a system for establishing a route of an unmanned aerial vehicle are provided. The method includes identifying an object from surface scanning data and shaping a space, which facilitates autonomous flight, as a layer, collecting surface image data for a flight path from the shaped layer, and analyzing a change in image resolution according to a distance from the object through the collected surface image data and extracting an altitude value on a flight route.

A computer system in included in a system for providing wildfire evacuation support. The computer system operates to obtain sensor data that represents a wildfire in a target region from a UAV which is deployed within the target region, obtain a current location of an individual in a hazardous situation in the target region, and obtain a desired destination for the individual in the target region. Based on the sensor data, the computer device identifies one or more danger zones that pose a fire-related threat to the individual, and determines at least one evacuation path that extends from the current location to the desired destination while avoiding the one or more danger zones. The computer system may be located at the UAV or on a central computer resource in communication with the UAV.

A lighter than air platform an unfinned envelope having two or more propulsion elements coupled with the unfinned envelope proximate to the center of gravity. At least one navigation sensor is configured to monitor an actual flight path of the unfinned envelope, and at least one perturbation sensor is configured to monitor one or more perturbations of the unfinned envelope. A navigation controller is configured to guide the unfinned envelope with coordinated propulsion of the two or more propulsion elements. The navigation controller includes a navigation comparator that compares the actual flight path with a specified flight path of the unfinned envelope and determine a navigation instruction. A perturbation comparator compares the navigation instruction with the monitored one or more perturbations to determine a perturbation compensation. A propulsion coordinator controls propulsion values of each of the propulsion elements based on the navigation instruction and the perturbation compensation.

A lighter than air platform an unfinned envelope having two or more propulsion elements coupled with the unfinned envelope proximate to the center of gravity. At least one navigation sensor is configured to monitor an actual flight path of the unfinned envelope, and at least one perturbation sensor is configured to monitor one or more perturbations of the unfinned envelope. A navigation controller is configured to guide the unfinned envelope with coordinated propulsion of the two or more propulsion elements. The navigation controller includes a navigation comparator that compares the actual flight path with a specified flight path of the unfinned envelope and determine a navigation instruction. A perturbation comparator compares the navigation instruction with the monitored one or more perturbations to determine a perturbation compensation. A propulsion coordinator controls propulsion values of each of the propulsion elements based on the navigation instruction and the perturbation compensation.

Systems and methods for taking, processing, retrieving, and/or displaying images from unmanned aerial vehicles are disclosed, including an unmanned aerial vehicle, comprising: an image capture device; and a controller configured to: determine a flight plan of the unmanned aerial vehicle, the flight plan configured such that the unmanned aerial vehicle and fields of view of the image capture device are restricted to a geographic area within boundaries of a geographic location identified by coordinates of the geographic location; execute the flight plan; and capture, with the image capture device, one or more aerial images restricted to fields of view within the boundaries of the geographic location while executing the flight plan, such that items outside of the boundaries are not captured in the one or more aerial images.

A highly safe drone is provided. A remote controller and a drone are connected to each other through a network and cooperate to operate. The drone includes a flight control unit, a flight start command reception unit receiving a flight start command from a user, a drone determination unit determining a configuration of the drone itself, an external environment determination unit determining an external environment of the drone. The drone system has a plurality of states including a takeoff diagnosis state and satisfies a condition transitioning to another state. The takeoff diagnosis state includes a drone determination state where the drone determination unit determines the configuration of the drone itself and an external environment determination state where the external environment determination unit determines the external environment. The drone system makes the drone to takeoff after transitioning to the takeoff diagnosis state upon receiving the flight start command.

Described herein are systems and methods for structure scan using an unmanned aerial vehicle. For example, some methods include accessing a three-dimensional map of a structure; generating facets based on the three-dimensional map, wherein the facets are respectively a polygon on a plane in three-dimensional space that is fit to a subset of the points in the three-dimensional map; generating a scan plan based on the facets, wherein the scan plan includes a sequence of poses for an unmanned aerial vehicle to assume to enable capture, using image sensors of the unmanned aerial vehicle, of images of the structure; causing the unmanned aerial vehicle to fly to assume a pose corresponding to one of the sequence of poses of the scan plan; and capturing one or more images of the structure from the pose.