Abstract: An optimal rescue orbital elements online decision-making method based on RBFNN for launch vehicles under thrust drop fault includes establishing the flight dynamic equations of launch vehicles in the second-stage ascending phase in the geocentric inertial coordinate system, to construct a series of optimization problems of maximum semi-major axis of circular orbit under the thrust drop fault. The method further includes using the adaptive pseudo-spectrum method to solve the optimization problems of maximum semi-major, and using the maximum and minimum method to normalize the sample data to [?1, 1], using the orthogonal least square method to select the data center of the radial basis function neural network (RBFNN), where the Gaussian function is selected as the radial basis function, and the RBFNN is trained offline to establish a nonlinear mapping relationship from the fault states to the optimal rescue orbital elements.

Abstract: Apparatuses, methods, systems, and program products are disclosed for dynamic selection of an aeronautical data provider. An apparatus includes a processor and a memory that stores code executable by the processor to receive a first stream of real-time aeronautical data from a first aeronautical data provider, receive at least one second stream of real-time aeronautical data from at least one second aeronautical data provider simultaneously with the first stream, provide data from the first stream and the at least one second stream to a decision model for predicting which data has a higher accuracy, and switch using data from the first stream to data from one of the at least one second streams in response to the one of the at least one second streams having a higher predicted accuracy than the first stream.

Abstract: A method for supporting aerial operation includes obtaining a real-time location of an aircraft, obtaining a location of a supply station, obtaining a location of a next waypoint, and controlling the aircraft based on a status parameter related to a flight status of the aircraft associated with the real-time location of the aircraft. Controlling the aircraft includes controlling, in response to the status parameter satisfying a first preset condition, the aircraft to fly to the next waypoint; and controlling, in response to the status parameter satisfying a second preset condition, the aircraft to fly to the supply station.

Abstract: Provided is a system for controlling an RPM of a propeller and a rotor of a flight vehicle having multiple power units including: a collective pitch angle command generating unit generating a collective pitch angle command upon receiving a thrust control command from a pilot or an automatic controller; a disturbance factor compensating unit for generating an RPM compensation electronic speed control (ESC) command for compensating for an RPM error, and an electronic speed adjustment command generating unit generating a final ESC command upon receiving a collective command input or derived in the process of generating the collective pitch angle command by the collective pitch angle command generating unit and the RPM compensation ESC command generated by the disturbance factor compensating unit. RPMs of motors of a flight vehicle having a plurality of propellers and rotors may be maintained to be the same.

Abstract: This application discloses a calibration method for navigation of an UAV including a vector sensor. The calibration method includes: collecting, during a flight of the UAV, a current correction value and current data during a current measurement performed by the vector sensor; acquiring previous data during a previous measurement performed by the vector sensor; acquiring an adjustment quantity according to the current data and the previous data; acquiring a next correction value according to the current correction value and the adjustment quantity; and acquiring next original data during a next measurement performed by the vector sensor, acquiring next valid data according to the next original data and the next correction value, and controlling headings and postures of the UAV according to the next valid data. With the calibration method of this application, the next valid data Vk+1 more closely approximated to a true value can be obtained.

Abstract: A magazine for loading projectiles into a launch assembly by gravity feed. The magazine has a plurality blades radially extending from a central axis and defining a like plurality of compartments in an axially rotatable ring. The ring rests upon a stationary deck plate having a hole for gravity feed of the projectile into the launch assembly below. Projectiles having different fight characteristics are deposited into the compartments at a safe location, supported by the deck plate and the launch assembly with an associated device are transported to a hostile environment. A first projectile is launched by the launch assembly in a longitudinal direction. The launch assembly is retracted, automatically indexing the rotatable ring and dropping the next projectile through the hole and into the launch assembly for subsequent launch.

Abstract: A vehicle that includes a communications interface that exchanges, with a propulsion unit that includes a battery, a first propeller, and a local flight controller, one or more decoupling communications associated with decoupling the propulsion unit and the vehicle and outputs a motor control signal. The vehicle further includes a central flight controller that obtains a reduced thrust allocation map with the first propeller removed and generates, using the reduced thrust allocation map, a motor control signal for a second propeller that is not included in the propulsion unit.

Abstract: A device is for assisting the taxiing of an aircraft, using at least one engine and at least one braking member. The device includes a control member, adapted to be actuated by a pilot from a neutral position to define a taxiing piloting command and a central controller, adapted to operate pilot at least one engine of the aircraft to apply the taxiing command defined by the pilot. The central controller is also configured to pilot at least one braking member of the aircraft to apply the taxiing piloting command defined by the pilot.

Abstract: A system and method establish bidirectional communication between an UAV terminal and a GCS terminal. Each terminal includes first and second communication modules. The first communication module is based on a radio module and the second communication module is based on wireless communication for data transfer. Through the radio module, the first communication unit of GCS terminal requests the UAV terminal to activate the second communication unit. The flight control data is then transmitted to the UAV terminal from the GCS terminal where the flight mission is planned and optimized.

Abstract: A method for steering a steerable interceptor missile driven by an engine for intercepting a moving target during a midcourse phase of an interception, includes steering the missile with real steering commands produced at respective steering times based on free control parameters formed as a current parameter vector. The free control parameters are constantly and repeatedly optimized during the midcourse phase by an optimization method for optimizing the control parameters. The optimization method is carried out in parallel with the actual steering. Newly detected information about the movement of the target and/or information about the flight of the missile is used in the optimization method as soon as the information is available. Optimized control parameters are accepted into the current parameter vector after being provided by the optimization method. An interceptor missile contains the current parameter vector and a control and evaluation unit for carrying out the method.

Abstract: The aircraft control systems and methods disclosed herein are configured to detect a residual error associated with a flight control computer of an aircraft and mitigate the effect(s) of such residual error in order to maintain safe operation of the aircraft. In some embodiments, the systems and methods are configured to detect an out-of-flight-envelope situation of the aircraft and determine whether or not the flight control computer is attempting to recover the aircraft from the out-of-flight-envelope situation. If the flight control computer is perceived as attempting to recover the aircraft from the out-of-flight-envelope situation, the flight control computer is permitted to continue controlling the aircraft. Otherwise, the excursion outside of the normal flight envelope is perceives as potentially having been caused by a residual error and the flight control computer is prevented from continuing to control the aircraft.

Abstract: An unmanned aerial vehicle (UAV) is disclosed that includes a retractable payload delivery system. The payload delivery system can lower a payload to the ground using a delivery device that secures the payload during descent and releases the payload upon reaching the ground. The location of the delivery device can be determined as it is lowered to the ground using image tracking. The UAV can include an imaging system that captures image data of the suspended delivery device and identifies image coordinates of the delivery device, and the image coordinates can then be mapped to a location. The UAV may also be configured to account for any deviations from a planned path of descent in real time to effect accurate delivery locations of released payloads.

Abstract: Techniques are disclosed for providing at least one proposed alternative plan of travel of a vehicle are disclosed based upon data of at least one geographic region about at least one of global navigation satellite system (GNSS) spoofing and GNSS jamming. If a current path of travel of the vehicle intersects at least one geographic region of at least one of GNSS spoofing and GNSS jamming, then determining the at least one proposed alternative plan of travel of the vehicle. At least one of the at least one proposed alternative plan of travel includes a path of travel that does not intersect at least one geographic region of the at least one geographic region of at least one of GNSS spoofing and GNSS jamming. The determined at least one proposed alternative plan of travel is sent to the vehicle.

Abstract: Method (200) for controlling an installation for transporting vehicles by at least one continuously moving cable, the method comprising a step of determining at least one oscillation (201) of at least one cable and/or one of the vehicles as a function of at least one parameter chosen from an average tension of the cable, an average speed of the cable, a distance between two successive vehicles, and an average mass carried by the vehicles, a step of generating a database (202) which connects a value of the oscillation to a combination of the average tension of the cable, the average speed of the cable, the distance between two successive vehicles, and the average mass carried by the vehicles, and a step of reducing the oscillation (203) by varying any of the parameters.

Abstract: A system pairs a 5G-connected drone to a 5G-enabled user-controlled device. The system sets a predicted route for the 5G-connected drone to navigate. A portion of this route is indoors and matches an actual route of the user-controlled device. The system then causes the 5G-connected drone to commence navigating the predicted route. The system receives environmental data from the area surrounding the 5G-connected drone on the predicted route measured by a set of onboard sensors of the 5G-connected drone. Using the received environmental data and a deviation of the predicted route from the actual route traversed by the user-controlled device, the system determines that an alternate route for the 5G-connected drone exists and sets the alternate route. The system generates a notification based on the environmental data indicating hazards on the alternate route and transmits the notification over a 5G network to the user-controlled device.

Abstract: A computerized system and method for managing a fleet of Unmanned Aerial Systems (UAS) collaboratively performing a mission. The system receives mission requirements comprising mission goals, area of operation, characteristics of each UAS and calculates data acquisition points in the area of operation according to mission goals, sensor types and constraints. It then calculates a flight plan for each UAS. Once flying in the field, the system verifies for each UAS at predetermined intervals during flight the UAS' aerial location at that time and compares the UAS aerial location to the expected aerial location according to flight plan in that time. If necessary, adjustments are made to the flight plan of one or more UAS. Other considerations for flight adjustments are battery power level, mission goal accomplishments, signal quality and more.

Abstract: Described is a system for optimizing controllers for micro-air vehicles. The system identifies binary rules that lead to a desired behavior of a micro-air vehicle. The binary rules are identified by sampling rule-sets from a probability distribution over a search space. A fitness value of each rule-set for the desired behavior is determined, and top-performing rule-sets are selected. The top-performing rule-sets are used to update the probability distribution over the search space until a convergence criterion is met, resulting in a fittest rule-set. A control signal based on the identified binary rules is transmitted to one or more actuators of the micro-air vehicle.

Abstract: A formation flight assistance system is placed on board a follower aircraft to benefit from an upwards air flow induced by a wake vortex generated by a leader aircraft. The system determines a wake vortex effect experienced by the follower aircraft as being a difference between measurements taken by sensors and modelling in a wake vortex free environment. Using a recursive Bayesian filter, the system determines an estimated position of the wake vortex on the basis of information relating to the leader aircraft and a wake vortex model, and determines an estimation uncertainty, according to which a potential discomfort window is computed for the passengers of the follower aircraft. The system keeps the follower aircraft outside the potential discomfort window. Thus, the comfort of the passengers of the follower aircraft is provided, while benefiting from an upwards air flow induced by the wake vortex.

Abstract: A system for distributed pilot control of an aircraft includes a plurality of flight components, an aircraft control located within the aircraft, and an aircraft component attached to a flight component of the plurality of flight components. The aircraft component may be configured to receive, from a command sensor attached to the aircraft control, an aircraft command. The aircraft component may further be configured to obtain, from an attitude sensor, an aircraft orientation. The aircraft component may further be configured to command the flight component to produce a response command as a function of a pilot signal.

Abstract: Apparatuses, systems, and methods related to sharing a memory resource among physically remote entities are described. A system sharing a memory resource among physically remote entities may enable performance of functions, including automated functions critical for prevention of damage to a product, personnel safety, and/or reliable operation, based on increased access to data that may improve performance of a mission profile.

Abstract: A method, apparatus, system, and computer program product for predicting sequential maximum sound pressure levels generated by an aircraft. A first set of sequential maximum sound pressure levels recorded by a first consecutive set of the microphones along a flight path during a flight of the aircraft using the flight path is identified. A second set of sequential maximum sound pressure levels that will be recorded by a second consecutive set of the microphones along the flight path during the flight of the aircraft using the flight path over the location is predicted. Predicting the second set of sequential maximum sound pressure levels using the set of deep learning models after training the set of deep learning models using a training dataset comprising historical aircraft sensor data for selected parameters, historical atmospheric data, and historical sound data recorded by microphones in a microphone system for flight paths over the location.

Abstract: A flight management system is configured to manage the flight of a flight vehicle in communication with a user terminal operated by a user. The flight management system includes a receiver configured to receive from the user terminal the flight application information including the identification information of the flight vehicle, a flight path preferred by the user, and a flight time preferred by the user; a determination unit configured to determine whether or not to permit utilization of predetermined radio waves with the flight vehicle to fly along the flight path at the flight time based on the flight application information; and a transmitter configured to transmit the flight information instructing the flight vehicle to fly along the flight path to the flight vehicle identified by the identification information on the condition that the determination unit determines to permit utilization of predetermined radio waves.

Abstract: A drone system that includes a drone and a movable body which is movable with loading the drone and where the drone can take off and land, cooperate to operate and that is able to maintain a high level of safety even during autonomous flight, is provided. The drone has a flight controller controlling a flight of the drone, and a drone transmitter transmitting an information possible to distinguish whether the drone is in flight. The movable body has a take-off and landing area where the drone is loaded, takes off and lands, a movement controller loading the drone on the take-off and landing area and moving the movable body with the drone, a movable body receiver receiving an information from the drone, and a display unit.

Abstract: A system for landing and charging an autonomous unmanned aerial vehicle (UAV) is disclosed. The UAV comprises a set of battery powered rotors to fly through the air. The UAV further comprises a landing peg that projects beneath the body configured to be received by a socket of a corresponding landing base. The landing base can have a funnel top to make landing easier. The landing peg has a set of power transfer means that connect with power transfer means in the landing base to recharge the batteries of the UAV. The UAV can be guided to land in the landing base by a ring of LEDs on the landing base.

Abstract: An image capturing apparatus includes an image capturing portion, a controller to perform image processing to obtain a feature value from image data, and a storage device to accumulate the image data. In an image capturing period of capturing an image of the target object by the image capturing portion, the controller transmits a result of the image processing to a data management server while accumulating the captured image data the storage device, while in an image capturing suspension period of not performing image capturing, the controller transmits the image data accumulated in the storage device to the data management server.

Abstract: A task processing method includes obtaining a task data loading request; and searching for target task data in a task database according to the task data loading request, where the task database stores task data corresponding to one or more tasks, and the target task data includes a coordinate of a waypoint of a target route of a target task. The method further includes controlling a movable object to reproduce the target task corresponding to the target task data. Controlling the movable object to reproduce the target task includes controlling the movable object to move according to the target route corresponding to the target task data.

Abstract: According to the present invention, a drone control system includes: a flying drone; a cloud server configured to transmit and receive information to and from the drone by wireless communication; and a ground control system configured to establish a flight plan of the drone by connecting the drone and the cloud server by the wireless communication.

Abstract: A control device includes: a communication unit; and a control unit that transmits and receives information via the communication unit. When a flying object flies around a complex housing, the control unit transmits, to the flying object, information on a flight route in which a transported object of the flying object enters a blind spot from inside of the complex housing based on information on the complex housing.

Abstract: A vehicle control system includes an integration unit that estimates information on a position and a speed of a target existing in an external field and errors of the position and the speed of the target, based on information from a movement sensor that acquires movement information including a vehicle speed and a yaw rate of an own vehicle, and information from an external field sensor that acquires information on the external field of the own vehicle. The integration unit uses not the information from the external field sensor, but the vehicle speed and the yaw rate acquired by the movement sensor, to predict a position and a speed of the target and errors of the position and the speed of the target at a second time after a first time, from a position and a speed of the target and errors of the position and the speed at the first time.

Abstract: A crane system, a crane, and a mobile unit capable of easily coping with a case where electrical equipment such as an obstacle light fails are to be provided. A crane system includes a crane body and a mobile unit movable around the crane body. The mobile unit includes an obstacle light and functions as an obstacle light for the crane body.

Abstract: Provided are a controller for controlling a drone that performs autonomous flight under computer control and a control program that runs on a tablet terminal. On a screen of the controller or the program, map information on an agricultural field over which the drone is to fly, route information on a route along which the drone is to fly, and an emergency stop button of the drone are displayed. A button for performing fine adjustment on an altitude may be displayed. It is desirable that the emergency stop button be translucent and be displayed such that the button is superimposed on the map information. It is desirable that emergency stop be performed only when a predetermined operation is performed on the emergency stop button a predetermined number of times or more within a predetermined time period.

Abstract: A request is determined to move from a first location to a second location to receive an item, the request specifying a transport vehicle to move the mobile platform from the first location to the second location. The mobile platform is actuated to attach to the transport vehicle.

Abstract: The present subject matter provides various technical solutions to technical problems facing ADS-B cyber-attacks. One technical solution for detecting and mitigating ADS-B cyber-attacks includes receiving extracting information from received ADS-B signals, detecting a cyber-attack based on a selected subset of ADS-B information, determining a detection probability, and outputting a ADS-B cyber-attack type and probability. This solution may further include determining and implementing a cyber-attack mitigation to reduce the probability or effect of the detected cyber-attack. These solutions operate based on current ADS-B receiver technology, and can be combined with existing ADS-B receivers to detect message injection attacks, modification attacks, and jamming attacks. The technical solutions described herein use machine learning (ML) algorithms and statistical models to detect anomalies in incoming ADS-B messages.

Abstract: A system for displaying carbon savings to a user is disclosed. The system may include one or more carbon savings input devices. The one or more carbon savings input devices may include at least one of a flight management system, a fuel system, an air data system, and an engine control system. The system may include one or more user interface devices including one or more displays. The system may include one or more controllers including one or more processors configured to execute a set of program instructions configured to cause the one or more processors to: receive one or more carbon savings inputs from the carbon savings input devices; calculate a carbon savings value based on the received carbon savings inputs; and generate one or more control signals configured to cause the display of the user interface device to display the calculated carbon savings value to the user.

Abstract: Embodiments relate to methods, systems, and devices for performing an inspection on a telecommunication structure and/or one or more objects that are attached on the telecommunication structure. The system includes an unmanned aerial vehicle that includes one or more of the following: an image capturing subsystem, an object identifying subsystem, a distance measuring subsystem, a navigation subsystem, an electromagnetic interference subsystem, and an onboard processor that is in communication with the image capturing subsystem, the object identifying subsystem, the distance measuring subsystem, the navigation subsystem, the electromagnetic interference subsystem. The system also includes a control processor that is in communication with the onboard processor. Further, the control processor may also be the onboard processor on the unmanned aerial vehicle.

Abstract: A device for tail-specific parameter computation includes a memory, a network interface, and a processor. The memory is configured to store a tail-specific aircraft performance model for a first aircraft of an aircraft type. The tail-specific aircraft performance model is based on historical flight data of the first aircraft and a nominal aircraft performance model associated with a second aircraft of the aircraft type. The network interface is configured to receive flight data from a databus of the first aircraft. The processor is configured to generate, based at least in part on the flight data and the tail-specific aircraft performance model, a recommended cost index and a recommended cruise altitude. The processor is also configured to provide the recommended cost index and the recommended cruise altitude to a display device.

Abstract: Aspects of embodiments to systems and methods for navigating a mobile platform using an imaging device on the platform, from a point of origin towards a target located in a scene, and without requiring a Global Navigation Satellite system (GNSS), by employing the following steps: acquiring, by the imaging device, an image of the scene comprising the target; determining, based on analysis of the image, a direction vector pointing from the mobile platform to the target; advancing the mobile platform in accordance with the direction vector to a new position; and generating, by a distance sensing device, an output as a result of attempting to determine, with the distance sensing device, a distance between the mobile platform and the target. The mobile platform advanced towards the target until the output produced by the distance sensing device is descriptive of a distance which meets a low-distance criterion.

Abstract: Information useful for aircraft control is provided for an airspace where a plurality of aircraft move. An airspace information provision system includes: a surrounding turbulence estimation unit configured to estimate surrounding turbulence occurring around first aircraft flying in a predetermined airspace where a plurality of aircraft fly, based on at least specification information, operation information and position information of the first aircraft, for the first aircraft; a flight disturbance information generation unit configured to generate flight disturbance information indicating a disturbance element affecting the aircraft flying in the predetermined airspace based on the surrounding turbulence; and a flight disturbance information provision unit configured to transmit the flight disturbance information to second aircraft flying in the predetermined airspace or flying toward the predetermined airspace.

Abstract: There is provided a crane inspection system including a mobile unit including an imaging unit and moving around a crane, and a processing unit that performs predetermined processing on captured image data captured by the imaging unit. The mobile unit images a plurality of locations including an inspection location of the crane.

Abstract: Disclosed herein is a method of controlling an aircraft, the aircraft including a plurality of actuators, a plurality of actuator control units, and a plurality of flight control systems for generating control signals. The method comprises, at each of the plurality of actuator control units: (a) from each of the plurality of flight control systems, obtaining a respective control signal for controlling an actuator associated with the actuator control unit, the actuator being one of the plurality of actuators; and (b) providing an actuator control signal to the associated actuator, wherein the actuator control signal is based on an analysis of the obtained control signals.

Abstract: A method for controlling flight of an unmanned aerial vehicle, includes receiving a data file indicating flight restriction level and range of an airport area in an airport generated according to a risk level of the airport, parsing the data file to obtain the flight restriction level and the range of the airport area, and controlling the unmanned aerial vehicle to execute a flight restriction strategy according to the flight restriction level and the range of the airport area.

Abstract: A propulsion system (100) comprises: a generator (30) driven by a shaft (22) of a thermal engine (20) and configured to generate electrical power; an induction motor (60) that is electrically coupled to the output of the generator (30) and is configured to generate a rotational output in response to electrical power provided by the generator (30); a generator control unit (40) that is configured to control an output voltage of the generator (30) to limit a current supplied to the induction motor (60) during start-up of the propulsion system (100); and a switch (50) that is electrically coupled between the generator (30) and the induction motor (60), wherein the switch (50) is controllable by the generator control unit (40).

Abstract: Methods and systems are provided for assisting operation of a vehicle to satisfy a downpath energy constraint when a current energy state has deviated from a reference energy state according to a planned route of travel. One method involves identifying an intermediate energy constraint at an intermediate point en route to the downpath waypoint, determining a first segment for satisfying the intermediate energy constraint at the intermediate point from the current energy state using a first configuration, determining a second segment from the intermediate point that satisfies the requested energy constraint at the downpath waypoint using a different configuration, and providing graphical indicia of the recommended path including the first and second segments. The graphical indicia includes a first graphical indication of the first configuration associated with the first segment and a second graphical indication of the second configuration associated with the second segment.

Abstract: A drone loaded with a package takes off from a takeoff device and uses a GPS system to fly to a user house that is a delivery destination of the package as the destination. Further, when the drone approaches the user house that is the destination, the flight of the drones is switched from autonomous navigation using the GPS system to remote control performed by a landing device and an in-house control device installed in the user house. The drone lands on the landing device by remote control from the landing device and the in-house control device, separates the package, and then returns to the warehouse using the GPS system and lands on the takeoff device.

Abstract: A system for automated flight plan reporting for an electric aircraft, the system including a flight controller coupled to the electric aircraft configured to receive a digital datum from a remote device, generate a plan adjustment datum as a function of the digital datum, and transmit the plan adjustment datum to a pilot display, a pilot display coupled to the electric aircraft, wherein the pilot display is configured to receive the plan adjustment datum from the flight controller, display the plan adjustment datum to a user; and receive a confirmation datum from the user.

Abstract: A method for determining a fault for a set of sensors, comprising: obtaining data, said data comprising a plurality of measurements returned respectively by the sensors and a plurality of estimates determined respectively by a plurality of estimators taking as input different subsets of said measurements, at least one of the estimators comprising an artificial neural network; calculating residuals representative of the deviation between data representing the same physical quantity; determining that there is a fault on at least one of the sensors as a function of the residuals calculated based on data obtained from measurements returned by said sensor.

Abstract: An autonomous vehicle and a drone-based emergency response method thereof are provided. The autonomous vehicle includes a communication device that supports communication with a drone and a detection device that detects vehicle status information and driving environment information. A processing device detects an emergency situation occurring on a road based on the vehicle status information and the driving environment information while autonomous driving and performs a response logic matching the recognized emergency situation using the drone.

Abstract: A monitored space is monitored including the production of a first audio signal from received acoustic energy. The first audio signal is then processed against a whitelist of acoustic profiles and, based on lack of substantial correspondence with any of the acoustic profiles, a drone is navigated toward an apparent position of an apparent source. While in-flight, additional acoustic energy is received and a second audio signal is produced from the additional acoustic energy. The second audio signal is processed against the whitelist and, based on lack of substantial correspondence with any of the acoustic profiles of the whitelist, an investigate mode of the drone is initiated. The investigate mode includes notifying a remote monitor and supplying the remote monitor with an audiovisual feed. Responsive to a characterization by the remote monitor, an entry of the whitelist may be updated, added or replaced.

Abstract: A control device 20 of a rideable mobile body 1 determines a target speed of the rideable mobile body 1 according to at least the steering operation by a rider, and controls the travel of the rideable mobile body 1 according to the target speed. In the processing for determining a target speed, the target speed is restricted according to the positional relationship between a virtual wall set in a travel environment of the rideable mobile body 1 and the rideable mobile body 1. Thus, the comfort of the rider is secured while the travel of the rideable mobile body is restricted by the virtual wall.

Abstract: Systems and methods for transforming autonomous aerial vehicle sensor data between platforms are disclosed herein. An example method can include receiving, by an UAV, vehicle radar data and radar calibration data from a vehicle, as well as location information for a location of the vehicle, determining a simulated UAV at the location, establishing an orientation for a simulated radar on a bottom of the simulated UAV, determining a height for the simulated UAV to match a field of view of the simulated radar, performing a geometrical transformation to convert the vehicle radar data set into a UAV perspective, converting the vehicle radar data into a vehicle coordinate frame using the radar calibration using vehicle global positioning system (GPS) coordinates, converting the vehicle coordinate frame from a global frame into a UAV coordinate frame using UAV GPS coordinates, and converting the UAV coordinate frame into simulated radar sensor frame.