A precision landing system including an unmanned aerial vehicle (UAV) and a beacon is provided. A processor of the UAV controls a flight system of the UAV to fly the UAV. The processor detects, via a sensor of the UAV, a signal emitted by a beacon. The processor controls the flight system of the UAV to land on or near the beacon. The processor also energizes one or more electromagnets on a cradle of the UAV to retrieve the beacon.

An electrical system for a vehicle may include a main power supply and a power supply controller electrically connected to the main power supply and configured to selectively electrically connect the main power supply to, and disconnect the main power supply from, a vehicle subsystem. The electrical system may also include a supervisor power supply controller configured to receive signals indicative of an operational status of the vehicle, and determine, based at least in part on the signals, expected signals associated with operation of a plurality of vehicle subsystems. The supervisor power supply controller may also receive signals associated with operation of a vehicle subsystem, and determine that the signals associated with operation of the vehicle subsystem are indicative of a fault. The supervisor power supply controller may cause the power supply controller associated with the vehicle subsystem to disconnect the vehicle subsystem from the main power supply.

There is provided a method of automatically landing a drone on a landing pad having thereon guiding-elements arranged in a pattern relative to a central region of the landing pad, comprising: receiving first image(s) captured by a camera of the drone, processing the first image(s) to compute a segmentation mask according to an estimate of a location of the landing pad, receiving second image(s) captured by the camera, processing the second image(s) according to the segmentation mask to compute a segmented region and extracting from the segmented region guiding-element(s), determining a vector for each of the extracted guiding-element(s), and aggregating the vectors to compute an estimated location of the central region of the landing pad, and navigating and landing the drone on the landing pad according to the estimated location of the central region of the landing pad.

A search and rescue drone system includes a buoyant body member, a frame attached to the buoyant body member for carrying a motor and propeller, and an electronic array including a camera, GPS, an EPIRB radio distress beacon, and a transmitter/receiver for remote control flying the drone and communicating with an operator. A laser guidance system may provide coordinates for landing near a swimmer in distress. The search and rescue drone may also be programmed to simply fly to the location of an electronic wearable device, like a bracelet, that is worn by a man overboard. In another embodiment, the search and rescue drone includes pivoting motor mounts, so that it can take off and land vertically with propellers rotating in a horizontal plane, and then the propellers may pivot to rotate in a vertical plane for propulsion across water similar to a fan boat with rescued people aboard.

Systems for mobile launch and retrieval of unmanned aircraft systems (UAS) include a rail-based, ground-based, or water-based mobile platform carrying a mobile station for launching and retrieving vertical take-off and landing (VTOL) or non-VTOL UAS while the platform is in motion, based on current position and weather conditions. The mobile platform may include facilities for communicating with the airborne UAS, stowing a retrieved UAS, and reloading/refitting a stowed UAS. The mobile platform may include positionable wake control devices and a partially positionable launch and retrieval mechanism for alleviating turbulence or crosswinds. The mobile platform may include long-range sensors for detecting or identifying obstacles near a rail-based platform that may interfere with the operating envelope of the launch and retrieval mechanisms. The launch and retrieval system may be intermodal and scalable either up or down as mission parameters demand.

In some embodiments, methods and systems of facilitating movement of product-containing pallets include at least one forklift unit configured to lift and move the product-containing pallets, at least one motorized transport unit configured to mechanically engage and disengage a respective forklift unit, and a central computer system in communication with the at least one motorized transport unit. The central computer system is configured to transmit at least one signal to the at least one motorized transport unit. The signal is configured to cause the at least one motorized transport unit to control the at least one forklift unit to move at least one of the product-containing pallets.

An unmanned aerial vehicle comprises an image sensor, configured to detect electromagnetic radiation and to generate image sensor data representing the detected electromagnetic radiation; a filter, configured to pass image sensor data representing one or more first wavelengths of electromagnetic radiation and to block image sensor data representing one or more second wavelengths of electromagnetic radiation; and one or more processors configured to determine from the passed image sensor data an origin of the detected electromagnetic radiation; and control the unmanned aerial vehicle to travel toward the determined origin.

A method for providing medical services to a patient, including: receiving a medical service request associated with a patient location; selecting an aircraft, located at an initial location, from a plurality of aircraft based on the patient location and the initial location; determining a flight plan for flying the aircraft to a region containing the patient location; at a sensor of the aircraft, sampling a first set of flight data; at a processor of the aircraft, autonomously controlling the aircraft to fly based on the flight plan and the set of flight data; selecting a landing location within the region; and landing the aircraft at the landing location, including: sampling a set of landing location data; determining a safety status of the landing location based on the set of landing location data; outputting a landing warning observable at the landing location; at the sensor, sampling a second set of flight data; and in response to determining the safety status and outputting the landing warning, autonomously controlling the aircraft to land at the landing location based on the second set of flight data.

A guidance system for a drone is described, said system comprising: a plurality of poles fixed to the ground and associated with a private or public electric power grid; a plurality of devices fixed to the poles and powered by the electric power grid, said devices being interconnected in a wireless network and comprising a radio communication module for communicating with the drone; a controller connected to the wireless network and intended to program a flight path of the drone between two or more poles by transmitting configuration commands to the respective devices of the wireless network, for configuring the radio communication modules, wherein the radio communication module of one pole in the flight path is configured to guide the drone towards the radio communication module of a following pole in the flight path.

A modular housing structure for housing a plurality of unmanned aerial vehicles (UAVs) includes a plurality of housing segments and a plurality of landing pads. The plurality of housing segments are shaped to mechanically join together to define an interior of the modular housing structure. The individual housing segments have a common structural shape that repeats when assembled to form the modular housing structure. The plurality of landing pads are positioned within the individual housing segments, each of the landing pads sized to physically support and charge a corresponding one of the UAVs.