An example autonomous or remotely piloted aircraft includes a virtual aperture radar system including a plurality of antennas relationally positioned on one or more surfaces of the aircraft such that individual beams from each of the plurality of antennas scan respective volumes around the aircraft and the respective volumes together substantially form an ellipsoidal field of regard around the aircraft, and a computing device having one or more processors configured to execute instructions stored in memory for performing functions of: combining the respective volumes together to form an image representative of the ellipsoidal field of regard around the aircraft, and identifying one or more objects within the image.

An aircraft landing assist apparatus includes an image obtaining unit, a shape obtaining unit, a measuring unit, and a calculating unit. The image obtaining unit is configured to obtain an image of a surrounding region of a landing point on which an aircraft is to land. The shape obtaining unit is configured to obtain a shape of the surrounding region of the landing point on the basis of the obtained image. The measuring unit is configured to measure an above-air wind direction and an above-air wind velocity. The calculating unit is configured to calculate a landing-point wind direction and a landing-point wind velocity on the basis of the obtained shape of the surrounding region of the landing point, the measured above-air wind direction, and the measured above-air wind velocity.

Improved mechanisms for collecting information from a diverse suite of sensors and systems, calculating the current precipitation, atmospheric water vapor, atmospheric liquid water content, or precipitable water and other atmospheric-based phenomena, for example presence and intensity of fog, based upon these sensor readings, predicting future precipitation and atmospheric-based phenomena, and estimating effects of the atmospheric-based phenomena on visibility, for example by calculating runway visible range (RVR) estimates and forecasts based on the atmospheric-based phenomena.

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.

Unmanned Aerial Vehicles also known as UAVs or Drones, either autonomous or remotely piloted, are classified as drones by the US Federal Aviation Administration (FAA) as weighing under 212 pounds. The system described herein details Autonomous Flight Vehicles (AFV) which weigh over 212 pounds but less than 1,320 pounds which may require either a new classification or a classification such as Sport Light Aircraft, but without the requirement of a pilot due to the safe autonomous flight system such as the Safe Temporal Vector Integration Engine or STeVIE. Safe Autonomous Light Aircraft (SALA) are useful as drone carriers, large scale air package or cargo transport, and even human transport depending on the total lift capability of the platform.

A system and apparatus for assisting in determining the best course of action at any point inflight for an emergency. The system may monitor a plurality of parameters including atmospheric conditions along the flight path, ground conditions and terrain, conditions aboard the aircraft, and pilot/crew data. Based on these parameters, the system may provide continually updated information about the best available landing sites or recommend solutions to aircraft configuration errors. In case of emergency, the system may provide a pilot with a procedure for execution for landing the aircraft.

The invention relates to an electronic display device on board an aircraft capable of landing or maintaining a hover above a landing zone and comprising: a module for calculating a distance between the aircraft and the landing zone according to a horizontal direction and for determining a height of the aircraft; and a module for displaying an exocentric aircraft symbol, positioned at a distance said exocentric from the aircraft according to an exocentric direction and at a height difference said exocentric relative to the aircraft, the display module being further configured to display an exocentric landing zone symbol, positioned at a distance from the landing zone equal to the exocentric distance according to the exocentric direction and at the same height as the exocentric aircraft symbol.

Methods and apparatus are provided for generating a runway landing alert for an aircraft. The method comprises establishing a Runway Awareness Advisory System (RAAS) envelope for the designated target runway of the aircraft. A track of the aircraft is monitored with reference to a centerline of the target runway. Any deviation by the aircraft from the centerline of the target runway is detected and determined if it is within a margin of error. If the deviation is within the margin of error, an altitude parameter of the RAAS envelope is increased. If the aircraft is determined to still be maneuvering with respect to the centerline of the target runway, the altitude parameter of the RAAS envelope is decreased. Otherwise, an alert is generated if the aircraft is outside of the RAAS envelope.

Certain aspects of the present disclosure provide a method for determining a flight plan for an aircraft, including: determining one or more regions that intersect an initial flight path and comprise at least one terrain feature having an elevation greater than an elevation threshold; for each respective region: determining a flight area based on the initial flight path and an elevation threshold line; determining one or more segments of the initial flight path that comprise one or more terrain features having an elevation greater than the elevation threshold; and determining a modified flight path for each respective segment by: determining a plurality of descent gradients along the respective segment; and moving the respective segment of the initial flight path in the safe descent direction if any of the plurality of descent gradients would collide with any of the one or more terrain features.

A vertiport system dynamically updates configuration of a vertiport based on predicted usage of the vertiport during a given time frame. The vertiport system predicts vertiport usage using flight data and estimated passenger demands and determines a desired number of parking pads and a desired number of final approach and takeoff (FATO) pads for the vertiport during the time frame. Based on the desired number of parking pads and the desired number of FATO pads for the vertiport, the vertiport system determines an updated configuration of the vertiport. According to the updated configuration, the vertiport system updates the configuration of the vertiport for at least a portion of the time frame.