Patent classifications
G08G5/34
Systems and methods to provide real-time context-based avoidance mechanisms for GNSS jamming or spoofing regions
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.
Conflict detection and resolution using predicted aircraft trajectories
A method of detecting conflicts between aircraft passing through managed airspace, and resolving the detected conflicts strategically. The method may include obtaining intended trajectories of aircraft through the airspace, detecting conflicts in the intended trajectories, forming a set of the conflicted aircraft, calculating one or more revised trajectories for the conflicted aircraft such that the conflicts are resolved, and advising the conflicted aircraft subject to revised trajectories of the revised trajectories.
Airspace activity tracking using unmanned aerial vehicles
This disclosure is directed to an automated unmanned aerial vehicle (UAV) self-identification system, devices, and techniques pertaining to the automated identification of individual UAVs operating within an airspace via a mesh communication network, individual UAVs and a central authority representing nodes of the mesh network. The system may detect nearby UAVs present within a UAV's airspace. Nearby UAVs may self-identify or be identified via correlation with one or more features detected by the UAV. The UAV may validate identifying information using a dynamic validation policy. Data collected by the UAV may be stored in a local mesh database and distributed to individual nodes of the mesh network and merged into a common central mesh database for distribution to individual nodes of the mesh network. UAVs on the mesh network utilize local and central mesh database information for self-identification and to maintain a dynamic flight plan.
Flight plan optimization for maintaining internet connectivity
A system for determining a flight plan based on internet connectivity includes at least one processor coupled with a non-transitory processor-readable medium storing processor-executable code for causing the at least one processor to receive internet connectivity data for a plurality of airspace regions, where the internet connectivity data is indicative of an internet connectivity characteristic; and determine a flight plan for an aircraft through at least one region of the plurality of airspace regions based on the internet connectivity characteristic.
TRAJECTORY AMENDMENT AND ARRIVAL TIME SLOT PROVISION SYSTEM
Systems and methods for providing trajectory amendments are provided. In one embodiment, a computing system can identify a plurality of aircraft operators. The system can provide for display in a user interface, to one or more computing devices of each of the plurality of aircraft operators, a first set of data identifying an arrival time slot associated with a landing area. The system can receive one or more second sets of data indicating that one or more of the aircraft operators has selected the arrival time slot. The system can select a first aircraft operator of the one or more aircraft operators for the arrival time slot. The system can provide, to a computing device of the first aircraft operator, an output indicating that the first operator has been selected for the arrival time slot.
Trajectory Amendment and Arrival Time Slot Provision System
Systems and methods for providing trajectory amendments are provided. In one embodiment, a computing system can identify a plurality of aircraft operators. The system can provide for display in a user interface, to one or more computing devices of each of the plurality of aircraft operators, a first set of data identifying an arrival time slot associated with a landing area. The system can receive one or more second sets of data indicating that one or more of the aircraft operators has selected the arrival time slot. The system can select a first aircraft operator of the one or more aircraft operators for the arrival time slot. The system can provide, to a computing device of the first aircraft operator, an output indicating that the first operator has been selected for the arrival time slot.
Process and System to Register and Regulate Unmanned Aerial Vehicle Operations
A registration authority (RA) server registers unmanned aerial vehicles (UAVs) and their owners/operators (O/O). A UAV is maintained in a flight lock state until a flight plan request from the O/O is approved by the RA, which sends an key-signed approval to unlock the UAV's flight lock. The RA server evaluates a UAV's proposed flight plan based on the attributes of the O/O and UAV, the location and time of the requested flight plan, and a set of flight rules and exclusion zones that are developed in view of privacy assurance, security assurance, flight safety assurance, and ground safety assurance. The flight plan key-signed approval supplied to the UAV by the RA server specifies an inclusion zone that corresponds to a flight plan trajectory to be followed. Once in flight, the UAV maintains real-time knowledge of its position and time to ensure its flight remains within the approved inclusion zone.
Unmanned aerial vehicle and methods for controlling same
One variation of a method for imaging an area of interest includes: within a user interface, receiving a selection for a set of interest points on a digital map of a physical area and receiving a selection for a resolution of a geospatial map; identifying a ground area corresponding to the set of interest points for imaging during a mission; generating a flight path over the ground area for execution by an unmanned aerial vehicle during the mission; setting an altitude for the unmanned aerial vehicle along the flight path based on the selection for the resolution of the geospatial map and an optical system arranged within the unmanned aerial vehicle; setting a geospatial accuracy requirement for the mission based on the selection for the mission type; and assembling a set of images captured by the unmanned aerial vehicle during the mission into the geospatial map.
System and method of controlling uninhabited airborne vehicle
The present invention is to provide a system of controlling an uninhabited airborne vehicle and method of controlling an uninhabited airborne vehicle, which are capable of storing a flight route through which an airborne vehicle has flown to reproduce a flight of the uninhibited airborne vehicle. The system of controlling an uninhabited airborne vehicle by controlling a flight route of an uninhabited airborne vehicle, includes: a memory unit that stores a flight route through which an uninhabited airborne vehicle has flown; an acquisition unit that acquires the flight route stored in the memory unit; and a control unit that controls the flight route acquired by the acquisition unit to reproduce a flight of the uninhibited airborne vehicle.
Drone air traffic control and flight plan management
One embodiment provides a method comprising receiving a flight plan request for a drone. The flight plan request comprises a drone identity, departure information, and arrival information. The method further comprises constructing a modified flight plan for the drone based on the flight plan request, wherein the modified flight plan represents an approved, congestion reducing, and executable flight plan for the drone, and the modified flight plan comprises a sequence of four-dimensional (4D) cells representing a planned flight path for the drone. For each 4D cell of the modified flight plan, the method further comprises attempting to place an exclusive lock on behalf of the drone on the 4D cell, and in response to a failure to place the exclusive lock on behalf of the drone on the 4D cell, rerouting the modified flight plan around the 4D cell to a random neighboring 4D cell.