An embodiment method includes performing pilot authentication based on a first challenge-response process with an authentication server, transmitting first flight information to the authentication server, receiving a first authentication token provided in response to verification of the first flight information in the authentication server, transmitting the first authentication token to an aircraft system, receiving a second authentication token from the aircraft system, the second authentication token being transmitted by the aircraft system to the authentication server when authentication for a security manager boarding the aircraft succeeds based on a second challenge-response process performed between the aircraft system and the authentication server, wherein the second authentication token corresponds to that provided to the aircraft system in response to verification by the authentication server for second flight information, and sharing a session key and a message authentication code key with the aircraft system when mutual authentication succeeds.

A computer-implemented system and method for operating one or more uncrewed vehicles (UxSs) in autonomous navigation modes. A software module is provided and executed for operation in a portable user computer device for enabling control and operation of the one or more UxS devices. The software module is configured for enabling the portable user computer device to communicate with one or more external communication devices regarding operation and control of the one or more UxSs. The software module communicatively couples the portable user computer device to the one or more UxSs via a transceiver component provided in the portable user computer device, wherein the software module enables voice commands received from a user at the portable user computer device to control one or more navigation functionalities for the one or more UxSs via the transceiver component.

A threat response system including one or more UAVs for protecting a vehicle of an owner. The one or more UAVs may be located in a docking station within a trunk of the vehicle. The threat response system may launch the one or more UAVs in response to detecting an intruder in a vicinity of the vehicle. The threat response system may further classify an occurring event by analyzing data received from the one or more UAVs with a machine learning system trained on data in an event database, with the event database storing one or more predicted events each corresponding to an event where the vehicle is vandalized, broken into, and/or stolen by the intruder. The threat response system may further select one or more UAV response operations from a response plan database to address the occurring event based on the classification of the occurring event.

A method of carrying a UAV combined with a package on an assist vehicle (AV) in assisted travel mode over one route section, flying the UAV combined with a package over another route section, and carrying the UAV combined with the package on second AV in assisted travel mode over a third route section, the route sections being contiguous. Also, a method of flying a UAV combined with a package over one route section, carrying the UAV combined with the package on an AV in assisted travel mode over a second route section, and flying the UAV combined with the package over a third route section, the route sections being contiguous.

A control apparatus includes a processor, and a memory connected to or incorporated in the processor. The processor is configured to rotate a distance measurement device via a rotational drive apparatus to which the distance measurement device is attached, measure a first distance between a target object and the distance measurement device at a plurality of distance measurement locations of the target object via the distance measurement device, set a flying route for causing a flying object to fly along the target object based on the first distance measured for each distance measurement location, and in a case of causing the flying object to fly along the flying route and acquiring a plurality of first images by imaging a plurality of imaged regions of the target object via a first imaging apparatus mounted on the flying object, perform a control of constantly maintaining pixel resolution of the first imaging apparatus.

Embodiments of the present application relate to the technical field of unmanned aerial vehicles, and particularly relate to a speed control method, device, multi-rotor unmanned aerial vehicles and a storage medium. The speed control method is applied to a multi-rotor unmanned aerial vehicle, the method including: acquiring a speed adjustment command and obtaining an acceleration adjustment command according to the speed adjustment command; obtaining a specific force acceleration adjustment command according to the acceleration adjustment command; and adjusting a current thrust of the multi-rotor unmanned aerial vehicle to a target thrust according to the specific force acceleration adjustment command, so as to realize the adjustment of a flight speed of the multi-rotor unmanned aerial vehicle. The above-mentioned method can ensure the speed control over multi-rotor unmanned aerial vehicle at any attitude such as continuous rolling and has a wider application range.

A method of operating an electrically powered rotorcraft of the type having a fuselage and a set of N rotors driven by a set of electric motors and coupled to the fuselage, N?4, under a failure condition preventing ordinary operation of the rotorcraft. The method includes entering a failsafe mode of operation wherein autorotation of at least four of the rotors is enabled. The method also includes using electrical braking associated with a selected group of the rotors to control pitch, roll and yaw of the rotorcraft.

A location estimation system includes at least four directional sensors that each acquire data used to estimate a location of a mobile object; a sensor assignment section that assigns one of the at least four sensors as a first sensor, and assigns, as a second sensor, one of the at least four sensors that is adjacent to the first sensor and situated on one of sides of the first sensor; an environment map generator that generates an environment map on the basis of first sensor data that is data acquired by the first sensor and on the basis of second sensor data that is data acquired by the second sensor; a first location estimator that estimates the location in the environment map on the basis of the first sensor data to generate a first sensor estimated location; a second location estimator that estimates the location in the environment map on the basis of the second sensor data to generate a second sensor estimated location; and a location integration section that integrates the first sensor estimated location and the second sensor estimated location to estimate the location of the mobile object in the environment map.

An unmanned aerial vehicle (UAV) or drone executes a neural network to assist with detecting and responding to attacks. The neural network may monitor, in real time, the data stream from a plurality of onboard sensors during navigation and may communicate with a high-altitude pseudosatellite (HAPS) platform. For example, if the neural network detects a cyber-attack but determines that it does not interfere with external communications, it may shift navigation control of the drone to the HAPS.

A method for guiding an autonomous aircraft, the aircraft includes an automatic pilot, a plurality of sensors and an imaging unit, the aircraft being configured to fly over a geographic zone comprising overflight prohibited zones, the guidance method can advantageously comprise a phase of real flight of the autonomous aircraft by using a given guidance law, comprising the following steps: determining a current state of the autonomous aircraft; determining an optimum action to be executed by using a neural network receiving the current state; determining a plurality of control instructions compatible with the guidance law based on the optimum action to be executed; transmitting to the automatic pilot the plurality of control instructions, which provides a new state of the autonomous aircraft.