Systems, methods, and apparatus for performing an action when an aggregated confidence measure. Data is received from a first sensor proximate to a particular air space. Data is also received from a second sensor and a third sensor proximate to the particular air space. The data from the first sensor, second sensor, and third sensor are each analyzed to determine respective confidence measures that a UAV is within the particular air space. The first sensor corresponds to a first type of data, the second sensor corresponds to a second type of data, and the third sensor corresponds to a third type of data. The confidence measures from each sensor are aggregated together to generate a combined confidence measure indicating a possible presence of the UAV within in the particular air space. When the combined confidence measure exceeds a threshold, an action is taken.

Described herein is an approach using inexpensive, disposable chemical sensor probes that can be mounted on a small unmanned aerial vehicles (UAVs) and used to analyze a site (such as one known or suspected to contain explosive residue, spilled material or contaminated soil) without the need for a person to conduct ground operations at the site. The method involves contacting a soil or a surface with a filter paper wetted with a solvent, then subjecting the filter paper to voltammetry and/or spectroscopy, thus detecting a possible variation indicative of one or more analytes, wherein the solvent is selected from the group consisting of polar aprotic or protic solvents having a boiling point of at least 100 C., room temperature ionic liquids, and deep eutectic solvents.

Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. A computing device can tune the RF receiver to a particular frequency set. The computing device can receive RF signal data corresponding to a plurality of RF signals via the RF receiver. The computing device can detect a plurality of signal characteristics corresponding to the plurality of RF signals from the RF signal data. The computing device can identify a matching RF signal by comparing the RF signal data to a plurality of known RF signals. The computing device can apply a predetermined rule set to the matching RF signal to determine at least one action to take.

An unmanned vehicle includes at least one navigation sensor configured to measure navigation data indicative of an environment, at least one status sensor configured to measure status data indicative of operating parameters of a hardware system and a computing system. The computing system includes a navigation engine configured to receive the navigation data and status data and plan a path through the environment and a security engine. The security engine is configured to detect that an unauthorized user is attempting to access the navigation data or the status data, send an alert to an authorized user indicating that the unauthorized user is attempting to access navigation data or status data, and send, to the unauthorized user, simulated data including one or both of simulated navigation data and simulated status data.

Improved systems, apparatus, and methods for enhanced positioning of an airborne relocatable communication hub supporting wireless devices are described. Such a method begins with moving an aerial communication drone operating as the airborne relocatable communication hub to a first deployed airborne position, detecting a first signal broadcast by a first wireless device using a communication hub interface on the drone, and detecting a second signal broadcast by a second wireless device using the communication hub interface. The method has the drone comparing a first connection signal strength for the first signal and a second connection signal strength for the second signal, and repositioning the aerial communication drone to a second deployed airborne position based upon the comparison. Once repositioned at the second deployed airborne position, the method has the drone linking the first and second wireless devices using the communication hub interface on the aerial communication drone.

Systems, methods, and apparatus for identifying and tracking UAVs including a computing device and a Wi-Fi sensor. The computing device can receive Wi-Fi data from the Wi-Fi sensor comprising an RSSI and a MAC address. The computing device can determine an estimated proximity of an unmanned aerial vehicle (UAV) based on the RSSI. The computing device can compare the estimated proximity to a signal threshold. The computing device can determine whether the MAC address matches one of a plurality of known UAV MAC addresses. The computing device can apply rule set to determine an action to take. The computing device can perform the action.

Systems, methods, and apparatus for identifying and tracking UAVs including an image capturing device. A computing device can receive a frame captured via an image capturing device configured to monitor a particular air space. The computing device can identify a region of interest (ROI) in the frame. The ROI can include an image of an object. The computing device can perform a background subtraction process on the frame. The computing device can scale the frame to a uniform size. The computing device can perform a comparison of the frame to reference images. The reference images can include known unmanned aerial vehicle (UAV) images and known non-UAV images. The computing device can classify the object with a UAV classification based on the comparison.

An unmanned vehicle includes at least one navigation sensor configured to measure navigation data indicative of an environment, at least one status sensor configured to measure status data indicative of operating parameters of a hardware system and a computing system. The computing system includes a navigation engine configured to receive the navigation data and status data and plan a path through the environment and a security engine. The security engine is configured to detect that an unauthorized user is attempting to access the navigation data or the status data, send an alert to an authorized user indicating that the unauthorized user is attempting to access navigation data or status data, and send, to the unauthorized user, simulated data including one or both of simulated navigation data and simulated status data.

Improved systems, apparatus, and methods for enhanced positioning of an airborne relocatable communication hub supporting wireless devices are described. Such a method begins with moving an aerial communication drone operating as the airborne relocatable communication hub to a first deployed airborne position, detecting a first signal broadcast by a first wireless device using a communication hub interface on the drone, and detecting a second signal broadcast by a second wireless device using the communication hub interface. The method has the drone comparing a first connection signal strength for the first signal and a second connection signal strength for the second signal, and repositioning the aerial communication drone to a second deployed airborne position based upon the comparison. Once repositioned at the second deployed airborne position, the method has the drone linking the first and second wireless devices using the communication hub interface on the aerial communication drone.

An air-based counter-countermeasure (CCM) system includes an autonomous or semi-autonomous unmanned aircraft capable of deployment to an area of a countermeasure system having (1) a laser detector to receive and identify an incident laser signal as a target designator signal and (2) one or more countermeasure subsystems operative in response to an output of the laser detector to deploy corresponding countermeasures against a laser target designator. The CCM system further includes a laser-based CCM subsystem carried by the aircraft, the CCM subsystem being configured and operative, during the deployment of the aircraft, to direct a simulated target designator laser signal to the laser detector of the countermeasure system to trigger one or more of the countermeasures and thereby reduce protective ability of the countermeasure system against subsequent laser-guided attack.