Patent classifications
G08G5/006
METHOD AND DEVICE FOR ENRICHING AN OBSTACLE DATABASE FOR AIRCRAFT
A method for enriching an obstacle database of an aircraft, the method being implemented by an on-board computer of the aircraft, and includes a creation phase performed on board the aircraft, involving a simple interaction between the pilot and a system of the cockpit, for creating an intermediate object representative of a user obstacle, the user obstacle being an obstacle identified by the pilot and not listed in the obstacle database of the aircraft, the intermediate object being created with a geographical position as its sole attribute; and a subsequent phase performed on board the aircraft, consisting in: adding type attributes characterizing the user obstacle to the intermediate object; and storing the user obstacle with the added attributes in a non-volatile memory of a module of the cockpit of the aircraft.
Method for Controlling Operation of Aerial Vehicle and Apparatus for the Same
An embodiment method for controlling operation of an aerial vehicle in an aerial vehicle control system includes approving entry of the aerial vehicle into an aerial vehicle operation zone from a take-off and landing facility of a departure location built into the aerial vehicle control system, controlling an operation of the aerial vehicle in the aerial vehicle operation zone, and approving exit of the aerial vehicle from the aerial vehicle operation zone into a take-off and landing facility of a destination location.
Route generation device, moving body, and program
A route generation device includes: an acquisition portion configured to acquire object data; and a controller configured to set a travel route of a moving body. The controller is configured to define a virtual space corresponding to a predetermined real space including a moving range for the moving body, manage a plurality of regions that the virtual space is divided into, the plurality of divided regions each having a predetermined three-dimensional shape, place the object in the virtual space, set a region that overlaps the object among the plurality of divided regions as a no-go zone where the moving body is not allowed to pass, and set a region that does not overlap the object among the plurality of divided regions as an available zone where the moving body is allowed to move.
Method for determining an optimized trajectory to be followed by an aircraft, associated control method, computer program product and systems
A method for determining an optimized trajectory to be followed by an aircraft, the method being implemented by a determining system of the aircraft and comprising: a first step for acquiring at least one constraint relative to at least one parameter of the trajectory to be followed, the constraint being determined by a control system of a remote station as a function of the air traffic and/or the aircraft mission; a step for calculating a desired trajectory as a function of the constraint; a step for transmitting the desired trajectory to the remote station; a second step for acquiring an instruction comprising an authorization to follow the desired trajectory or a refusal of the desired trajectory.
UAV delivery control system for UAV delivery of packages
A UAV delivery control system is disclosed. Sensors detect operation parameters associated with the UAV as the UAV maneuvers along an airborne delivery route. A UAV operation controller monitors UAV route parameters as the UAV maneuvers along the airborne delivery route. The UAV route parameters are indicative as to a current environment of the airborne delivery route that the UAV is encountering. The UAV operation controller automatically adjusts the operation of the UAV to maintain the operation of the UAV within an operation threshold based on the operation parameters and the UAV route parameters. The operation threshold is the operation of the UAV that is maintained within an overall airborne operation radius of the UAV from a return destination thereby enabling the UAV to execute the delivery of the package along the airborne delivery route and to return to the return destination.
COLLABORATIVE SPACE FOR MANAGING FLIGHT PLANS
A management of the elements of the context of one or more flight plans is provided. The systems, methods and computer programs allowing real-time collaborative work on and around one or more flight plans between multiple remote systems are provided. A first system comprises receiving a modification, made on a second system, to a flight plan and to a set of associated objects or to another set of non-associated objects, displaying the modification and, if the modification is validated, returning the modification, as applied to the first system, to the second system to ensure uniformity around the collaborative navigation space between remote parties.
MANAGEMENT OF THE SPATIAL CONGESTION AROUND THE PATH OF A VEHICLE
Devices and methods implemented by a computer for connecting between a human-machine interface (e.g. graphical), supplied with data, in particular traffic and meteorology data, and a system for computing paths (e.g. avionic flight management), for interactive exploration of usable flight paths for managing the spatial congestion around the path of a vehicle are provided. Developments describe the particular case of an aircraft, such as mission management, the gathering of spatial, temporal or technical constraints relating to the spatial congestion within the determined potential airspace, the monitoring of changes in the spatial congestion of the airspace, excursions of the aircraft, miscellaneous displays, and n particular superimposed displays. Various types of human-machine interfaces are described, involving virtual or augmented reality and being configured to display data in 2D, 3D and/or 4D.
END-TO-END UNMANNED CONTROL SYSTEM OF AIRCRAFT NAVIGATION AND SURVEILLANCE SYSTEMS
- Massimiliano Ferla ,
- David Carsenat ,
- Andrea Cucurachi ,
- Nathan Deloffre ,
- Kevin L. McGahee ,
- Christopher Giacoponello ,
- Scott Hauswald ,
- William Hubert ,
- Paolo Lunardi ,
- Holger Neufeldt ,
- Michel Procoudine-Gorsky ,
- Edwin Schackmann ,
- Marcello Sordelli ,
- André Schüttpelz ,
- Andrija Velimirovic ,
- Stephen Rowson ,
- Mark Cagle ,
- Matthew Timothy McNally ,
- Joseph Eugene Parsons ,
- Brendon CONROY ,
- Anthony James Albanese
A control system in communication with one of an aircraft navigational aid system and an aircraft surveillance system is described. The control system obtains measurement data associated with radio frequency (RF) signals transmitted by the one of the aircraft navigational aid system and the aircraft surveillance system from an unmanned aerial vehicle (UAV) reporting the measurement data. The control system also determines whether the measurement data indicates the RF signals are within a range of values based on a location of the UAV in an airspace proximate to the one of the aircraft navigational aid system and the aircraft surveillance system. The control system further controls the RF signals transmitted by the one of the aircraft navigational aid system and the aircraft surveillance system based on the measurement data and the location of the UAV. Methods performed by the control system are also described.
SYSTEM AND METHOD FOR COMMUNICATION IN MIXED AIRSPACE
A communication system includes a traffic relay (TR) device for locating unmanned traffic in a controlled airspace. The TR device comprises one or more processors configured to perform the step of receive a status message from an unmanned aerial vehicle (UAV). The status message provides identification and location information of the UAV. The one or more processors are also configured to perform the step of generate a warning message for communication to at least one manned aerial vehicle (MAV) or a manned traffic manager (MTM) device that is communicatively connected to the at least one MAV. The warning message is based on a comparison of the location of the UAV to a designated airspace.
SYSTEMS AND METHODS FOR PROVIDING A DRONE VOLATILITY INDEX
Systems and methods for generating a volatility index for drone activity are provided. For example, a method includes determining volatility data for drone activity in a plurality of areas. The method further includes generating a plurality of volatility indices to represent the volatility data. The method further includes determining a priority for each area of the plurality of areas based on the plurality of volatility indices. The method further includes updating map data based on the determined priority.