In some implementations, a UAV flight system can dynamically adjust UAV flight operations based on radio frequency (RF) signal data. For example, the flight system can determine an initial flight plan for inspecting a RF transmitter and configure a UAV to perform an aerial inspection of the RF transmitter. Once airborne, the UAV can collect RF signal data and the flight system can automatically adjust the flight plan to avoid RF signal interference and/or damage to the UAV based on the collected RF signal data. In some implementations, the UAV can collect RF signal data and generate a three-dimensional received signal strength map that describes the received signal strength at various locations within a volumetric area around the RF transmitter. In some implementations, the UAV can collect RF signal data and determine whether a RF signal transmitter is properly aligned.

Aspects relate to a system for flight plan generation of an electric vertical takeoff and landing (eVTOL) aircraft. An exemplary system for flight plan generation includes a flight controller mounted on an eVTOL aircraft. The flight controller may be configured to receive a plurality of flight plan data and generate a flight plan for the aircraft as a function of the plurality of flight plan data.

Boundary information associated with a three-dimensional (3D) flying space is obtained, including a boundary of the 3D flying space. Location information associated with an aircraft is obtained, including a location of the aircraft. Information is presented based at least in part on the boundary information associated with the 3D flying space and the location information associated with the aircraft, including by presenting, in a display, the boundary of the 3D flying space and an avatar representing the aircraft at the location of the aircraft.

Systems and methods for detecting radio frequency (“RF”) signals and corresponding origination locations are disclosed. An RF sensor device includes a software-defined radio and an antenna pair for receiving RF signals. Furthermore the RF sensor device may include a processing unit for processing/analyzing the RF signals, or the processing unit may be remote. The system calculates a phase difference between an RF signal received at two separate antennas of an antenna pair. The phase difference, the distance between the antennas, and the frequency of the RF signal are used for determining the origination direction of the RF signal. In various embodiments, the origination direction may indicate the location of a UAV controller or base station. The software-defined radio may include more than one antenna pair, connected to multiplexers, for efficiently scanning different frequencies by alternating active antenna pairs. Moreover, the system may execute packet-based processing on the RF signal data.

A computer-implemented method for communicating information to an electronic flight bag device (EFB) comprises receiving one or more notification to airmen messages (NOTAMs) that specify conditions associated with one or more runways or taxiways of an airport. The computing system selects from among the received NOTAMs one or more NOTAMs that specify particular conditions under which corresponding runways or taxiways are or will be closed to aircraft traffic. For each selected NOTAM, the computing system generates overlay data that specifies a graphical representation indicative of the particular conditions under which the corresponding runway or taxiway is or will be closed. The computing system communicates the overlay data associated with the selected NOTAMs to the EFB. The graphical representations specified by the overlay data are configured to be overlayed on a map that depicts runways and taxiways and that is configured to be presented by the EFB.

A monitoring system for an aircraft uses sensors configured to sense objects around the aircraft to generate a recommendation that is ultimately used to determine a possible route that the aircraft can follow to avoid colliding with a sensed object. A first algorithm generates guidance to avoid encounters with sensed airborne aircrafts. A second algorithm generates guidance to avoid encounters with sensed non-aircraft airborne obstacles and ground obstacles. The second algorithm sends inhibiting information to the first algorithm in a feedback loop based on the position of sensed non-aircraft objects. The first algorithm considers this inhibiting information when generating avoidance guidance regarding airborne aircrafts.

A method for validating a terrain database includes a step of simulating flights based on trajectory data for an aircraft, the flight simulations being speeded up, a step of determining terrain collision risks by means of a system for signalling terrain collision risks based on the speeded-up flight simulations, a step of determining the origins of terrain collision risks with a view to validating or not validating the terrain database.

Systems and methods for geofence information delivery are disclosed. A multiplicity of devices constructed and configured in network communication in a region of interest via a peer-to-peer network. The multiplicity of devices store cached geofence information for the region of interest. The multiplicity of devices on the peer-to-peer network are operable to convert between an IP address and a geographic location. Each of the multiplicity of devices is operable to query peer devices on the peer-to-peer network for geofences associated with an IP address or a geographic location. At least one peer device is operable to deliver one or more geofences associated with the IP address to the querying device via zero-configuration networking or web service.

A method for supporting aerial operation over a surface includes obtaining a three-dimensional (3D) representation of the surface; converting the 3D representation of the surface to a two-dimensional (2D) representation of the surface; obtaining a 2D flight path of the aircraft based on the 2D representation of the surface; converting the 2D flight path to a 3D flight path including location coordinates; and controlling the aircraft to conduct a flight mission following the 3D flight path.

Methods, systems and apparatus, including computer programs encoded on computer storage media for generation of autonomous unmanned aerial vehicle flight plans based on triggered sensor information. One of the methods includes accessing information correlated from sensors monitoring features of weather events, and determining an upcoming weather event, the determination comprising one or more areas expected to be affected by the weather event. A likelihood of damage associated with the weather event is determined to be greater than a threshold in the areas. The weather event is monitored while areas in which the likelihood is greater than the threshold are updated accordingly. Subsequent to the weather event, properties to be inspected by unmanned aerial vehicles are determined based on severity information associated with the weather event. Job information is generated, the job information being associated with inspecting the determined properties, the job information including jobs each assignable to operators for implementation.