A system may include a display and a processor. The processor may be configured to: obtain aircraft data associated with an aircraft; obtain or generate storm top data, the storm top data including information associated with storm top altitudes and storm top locations; generate aircraft relative storm top data; generate an aircraft relative storm top image based at least on the aircraft relative storm top data, wherein the aircraft relative storm top image depicts a view of weather in front of the aircraft, wherein the aircraft relative storm top image conveys information associated with a difference between at least some of the storm top altitudes and an altitude of the aircraft; and output the aircraft relative storm top image as graphical data.

Systems and methods are disclosed for transporting people using air vehicles.

Systems and methods for logging flight time in one or more digital logbooks employ an application that runs on mobile devices to determine when aircraft takeoff and aircraft landings have occurred. Indications of the determined aircraft takeoff and an indication of the determined aircraft landing are stored in memory. The mobile devices send determined aircraft takeoffs and aircraft landings to a data management server, which queries an official flight data source for office flight records that correspond to the determined aircraft takeoffs and determined aircraft landings. The mobile device, via the mobile application, requests confirmation of whether the user was a required flight crew member on a flight corresponding to the determined aircraft takeoff and the determined aircraft landing.

Systems and vehicle are provided. A vehicle system for a vehicle includes: a trajectory selection module configured to select a potential vehicle path relative to a current vehicle movement condition; a trajectory movement condition module configured to estimate a modeled movement condition of the vehicle along the potential vehicle path; a limit comparison module configured to determine whether the modeled movement condition violates vehicle limits; and a violation indicator module configured to generate an indication of impending violation.

The present invention achieves technical advantages as a pilot and passenger seating. An aircraft employs a pilot seat, comprising a contoured structure having ergonomically formed and padded surfaces, with left and right arm supports that include an articulated control knob, movable in three rectangular axes and rotatable about a vertical axis to provide one or more aircraft steering functions for an aircraft, and a touch-sensitive control surface for controlling one or more power system components. A passenger seat, having a contoured structure, having ergonomically formed and padded surfaces, a headrest, a seat, a left support member, and a right support member are adapted to cradle a portion of a passenger's body to support the passenger during travel.

A method, apparatus, and computer program product provide for crowdsourcing data from a plurality of aircraft systems to determine cloud ceiling information. In the context of a method, the method receives a set of sensor data from a first aircraft system captured during a first event. The method determines, based on the set of sensor data, a cloud ceiling value for a location and a time at which the first set of sensor data was captured. The method also stores the cloud ceiling value in association with a landing region and causes transmission of the cloud ceiling value to one or more additional aircraft systems.

A system for flight control system using simulator data for an electric aircraft is presented. The system includes a computing device, the computing device configured to receive a plurality of measured flight data, simulate a plurality of aircraft performance model outputs as a function of a flight simulator and the plurality of measured flight data, determine a moment datum as a function of the plurality of measured flight data and the plurality of aircraft performance model outputs, generate an allocation command datum as a function of the moment datum and the plurality of aircraft performance model outputs, and perform a torque allocation on a flight component of a plurality of flight components as a function of the allocation command and the moment datum.

A system and method for autonomous flight control with mode selection an electric aircraft is illustrated. The system comprises an altitude-related sensor and a computing device. The altitude-related sensor is coupled to the electric aircraft and is configured to detect an altitude value. The computing device is communicatively connected to the altitude-related sensor and is configured to receive the altitude value from the altitude-related sensor, to determine a flight mode as a function of the altitude value and an altitude threshold, to determine an aircraft adjustment as a function of a determine flight mode, and to generate an autonomous function configured to enact the determined flight mode and an aircraft adjustment automatically.

A method is provided. An unmanned aerial vehicle (UAV) is operated. A position of the UAV is determined while in flight, and a nonce is generated. A Merkel root is generated based at least in part on a timestamp and the position of the UAV. A current block is calculated based at least in part on a previous block, the Merkel root, and the nonce, and the current block, the timestamp, the nonce, the prior block, and the position of the UAV are transmitted.

This method for displaying information relative to an aircraft is carried out by computer and includes the acquisition of a message from among a meteorological message and an aeronautical information message, each message including at least one mission object identifier; searching, among the mission object identifier(s) contained in each acquired message, for at least one mission object identifier verifying at least one criterion from among first, second and third predefined criteria, the first criterion depending on a received mission plan, the second criterion depending on the current position of the aircraft, and the third criterion depending on both the current position of the aircraft and the received mission plan; and if at least one mission object identifier is detected verifying at least one of the first, second and third predefined criteria, displaying each detected identifier.