Provided is a surveillance system employing a plurality of unmanned aerial vehicles (UAVs), the surveillance system showing improved surveillance performance while optimizing common energy consumption for computing of all the UAVs and also providing a stable visual monitoring service using autonomous mobility of the plurality of UAVs regardless of movement of an object to be monitored and action uncertainty of an adjacent UAV.

Systems and methods for locating UAV. The methods comprise: causing a physical joining of a payload with a fuselage of the UAV (where the payload comprises a communication relay); using a power source to supply power to the payload that is independent from a main power source of the UAV; and continuing to perform relay operations by the communication relay and location operations by a first locator, when power is no longer being supplied by the main power source.

A hybrid aircraft of the unmanned type configured for joint and optimized use of aerostatic and aerodynamic force has an inflatable body having an outer shell and a load-bearing structure inside the outer shell, the inflatable body being adapted to assume a closed wing operating configuration.

An unmanned aircraft system of an unmanned aircraft, a control system arranged on a marine vessel, as well as a method for controlling a navigation system of a marine vessel is described. This may enable improved operation of the marine vessel in docking situations at a mooring position.

Various embodiments of the present disclosure describe radio frequency (RF) enabled devices, system, and RF energy relaying techniques for selectively harvesting and/or relaying RF energy signals. An RF-enabled device may include an antenna unit configured to receive a radio frequency signal and a switch component electrically coupled to the antenna unit. The switch component may be associated with a plurality of signal processing states that include at least a collection state and a reflection state. The RF-enabled device may include a controller that is configured to selectively transition the switch component between the collection state and the reflection state based at least in part on one or more power transfer stimuli. At a collection state, an RF energy signal may be harvested. At a reflection state, the RF energy signal may be reflected to another entity within a proximity to the RF-enabled device.

An embodiment herein provides a re-configurable unmanned aerial vehicle that re-configures its shape based on the shape, size, weight of a payload, and efficiently performs payload delivery in real-time. The re-configurable unmanned aerial vehicle includes one or more rotor units placed at corners and is connected by one or more scissor units. The re-configurable unmanned aerial vehicle approaches the payload in a first location, and analyses the position and dimension of the payload with a camera, that enables the one or more scissor units to adjust its length by at least one elongation or compression following size and shape of the payload and fit the payload within the re-configurable unmanned aerial vehicle. The re-configurable unmanned aerial vehicle takes off carrying the payload from the first location and lands at a second location.

A control system and a method for vehicle control in geographical control zones is provided. The control system receives traffic information, including a plurality of image frames of a group of moving objects in a geographical control zone and generates a set of images frames of a first moving object of the group of moving objects based on application of a trained Neural Network (NN) model on the received traffic information. The generated set of image frames corresponds to a set of likely positions of the first moving object at a future time instant. The control system predicts the unsafe behavior of the first moving object based on the generated set of image frames and generates first control information, including an alternate route for a first vehicle in the geographical control zone based on the predicted unsafe behavior. The first vehicle is controlled based on the generated first control information.

An unmanned aerial vehicle executes: a movement control process that moves the unmanned aerial vehicle to a delivery area including a delivery address to which a package is to be delivered, the delivery area including delivery destination candidates, and each of the delivery destination candidates including an identification information indicator located at a position where the identification information indicator is readable from outside; an identification information acquiring process that acquires identification information associated with each delivery destination candidate by reading a corresponding identification information indicator; a delivery destination identifying process that identifies, as a delivery destination, a delivery destination candidate in which the acquired identification information matches the delivery address; a position identifying process that identifies a receiving position of the package based on a position of the identified delivery destination; and a placing process that places the package at the identified receiving position.

Techniques for response management in an indoor facility are described. A server device processes a signal from an unmanned vehicle to deduce occurrence of an actionable event. A preliminary location of the occurrence of the actionable event is determined based on an instantaneous position of the unmanned vehicle at the time of transmitting the signal. The inputs obtained from a set of static sensors located in proximity to the preliminary location is processed to verify the occurrence of the actionable event. A verified location of the occurrence of the actionable event is determined based on the preliminary location of the occurrence of the actionable event and an actual location of the set of static sensors within the indoor facility. The server device triggers an alert to indicate the occurrence of the actionable event, wherein the alert comprises the verified location of the occurrence of the event.

Improvements in secure communication using drones. The communication uses aircraft to provide a secure communication link that prevents undesirable reception. The secure link can be between two people, groups or more specific people. Optical transmission can be from laser, infrared, ultraviolet, white light or a particular wavelength of light. One or multiple aircraft to relay information between senders and receivers. The aircraft can be drones that operate within buildings or with overhead aircraft. The aircraft can intelligently follow or lead a person to maintain a line of sight. Each user can have their own tracking aircraft and the aircraft can communicate with each other using light and/or wireless communication to optimize line-of-sight between the aircraft over geographic medium. The geographic medium may include one or more terrain, air, water, and space. The object may be a soldier, vehicle, drone, or ballistic.