An anti-collision system for an aircraft and an aircraft including the anti-collision system are disclosed including a sensor data processing unit configured to process data received from multiple sensors installed on a tow tug to detect objects around the aircraft, and output information about detected objects; a safeguarding box building unit configured to generate, based on an aircraft geometry database, a three-dimensional safeguarding box for the aircraft; and a risk assessment unit configured to update the safeguarding box based on data corresponding to different operation modes of the tow tug, calculate relative distances between the detected objects and the aircraft based on the information about the detected objects that is output from the sensor data processing unit, and determine whether there is a collision risk between the aircraft and an object, among the detected objects based on the updated safeguarding box. The system is configured to output an alarm or a warning when there is the collision risk.

A terrestrial acoustic sensor array for detecting and preventing airspace collision with an unmanned aerial vehicle (UAV) includes a plurality of ground-based acoustic sensor installations, each of the acoustic sensor installations including a sub-array of microphones. The terrestrial acoustic sensor array may further include a processor for detecting an aircraft based on sensor data collected from the microphones of at least one of the plurality of acoustic sensor installations and a network link for transmitting a signal based on the detection of the aircraft to a control system of the UAV.

According to the present invention there is provided a drone (1) comprising one or more propellers (2) and one or more actuators (3) for actuating said one or more propellers (2) to generating a thrust force which enables the drone (1) to fly; a controller (4) which is configured such that it can control the flight of the drone (1), wherein the controller (4) comprises a memory (6) having stored therein a plurality of predefined sets of positions which define a virtual rail which can be used to guide the flight of the drone (1) so that the drone can avoid collision with an subject; and wherein the controller further comprises a mathematical model (7) of the drone; wherein the controller (4) is configured to control the flight of the drone by performing at least the following steps, (a) approximating lag error based on the position of the drone (1) measured by a sensor (5) and the virtual rail, wherein the lag error is the distance between a point along the virtual rail which is closest to the drone (1) and an estimate of said point along the virtual rail which is closest to the drone (1); (b) approximating a contour error based on the position of the drone (1) as measured by a sensor (5) and the virtual rail, wherein the contour error is the distance between a point along the virtual rail which is closest to the drone (1) and the position of the drone (1); (c) defining a cost function which comprises at least said approximation of the lag error and said approximation of the contour error; (d) minimizing the defined cost function, while also respecting at least limitations of the drone which are defined in said mathematical model, to determine a plurality of control inputs over a predefined time period into the future, and (e) applying the first control input only to the one or more actuators (3). There is further provided a corresponding method for controlling the flight of a drone.

Stability of an unmanned aerial vehicle is sought by using a flight controller of an unmanned aerial vehicle control system for controlling flying by an unmanned aerial vehicle based on an instruction from a first operator. A determiner is used to determine whether a second operator visually recognizes the unmanned aerial vehicle based on a predetermined determination method. A switcher is used to switch, based on a result of the determination obtained by the determiner, from a first state, in which the unmanned aerial vehicle flies in accordance with an instruction from the first operator, to a second state, in which the unmanned aerial vehicle flies in accordance with an instruction from the second operator.

A system for autonomous flight collision avoidance in ana electric aircraft, where the system includes an electric aircraft. The electric aircraft includes a at least a sensor coupled to the electric aircraft, where the at least a sensor coupled to the aircraft is configured to detect an obstacle in the electric aircraft's flight path and transmit the obstacle to a flight controller. The electric aircraft also includes a flight controller where the flight controller is configured to receive the obstacle from the at least a sensor coupled to the electric aircraft, determine an adjusted flight path as a function of the obstacle, and transmit the adjusted flight path to a pilot display. The system further includes a pilot display, where the pilot display is configured to receive the adjusted flight path form the flight controller and display the adjusted flight path to a user.

A device includes a processor. The processor is configured to execute instructions to: receive a request from an application to subscribe to a telemetry messaging service; grant a subscription to the telemetry messaging service, to the application based on the request; receive telemetry messages from drones over a radio access network (RAN); process the telemetry messages; and provide the processed telemetry messages to the application over the RAN.

A system and method for autonomously controlling a set of unmanned aerial vehicles is provided. The autonomous ground control system may include a communications module and a fleet configuration module in communication with one or more user interface applications. The autonomous ground control system may receive one or more flight commands and generate fleet configuration instructions and safety information. The autonomous ground control system may provide the fleet configuration instructions to each unmanned aerial vehicle in the set in order to carry out the fleet configuration instructions in real time.

A method is provided for detecting and avoiding conflict along a current route of a robot. The method includes accessing or determining trajectories of the robot and a nearby moving object forward in time from their respective current positions, and detecting a conflict from a comparison of the trajectories. The method includes selecting a maneuver to avoid the conflict, and outputting an indication of the maneuver for use in at least one of guidance, navigation or control of the robot to avoid the conflict. Selection of the maneuver includes determining a plurality of angles that describe the conflict such as those at which the robot and moving object observe one another, and/or an angle between their trajectories, and evaluating the plurality of angles to select the maneuver.

A method of collision warning using broad antenna pattern ultra-wide band (UWB) radar includes emitting a first radar ping from a broad beam UWB antenna and receiving a first return signal identifying an object. A first hemisphere with a first radius is determined for the object. A second ping, second return and second hemisphere is defined for the object. At the intersection of the hemispheres, an object ring is defined. The radius of the object ring is compared with the radius of a collision cylinder (e.g., representing a safe distance around a system or device, such as a drone). The object may be identified as posing a collision threat when the radius of the object ring is smaller than the radius of the collision cylinder.

Provided is a method of avoiding collision of an unmanned aerial vehicle with an obstacle, the method including: calculating two potential fields using ament positional information of the unmanned aerial vehicle, a target point that is set, and positional information of the obstacle measured by a sensor, computing an attractive force and a repulsive force by differentiating the computed potential fields, respectively; computing a direction of a potential force that results from adding up the computed attractive force and repulsive force; and performing control that brings about a change from the computed direction of the potential force to a direction in which the unmanned aerial vehicle moves.