Methods and systems are provided for presenting a list of potential diversion destinations. One exemplary method involves obtaining status information associated with the vehicle, obtaining status information associated with respective ones of a plurality of destinations, and classifying the plurality of destinations into a plurality of viability groups based at least in part on the status information associated with the vehicle and the respective status information associated with each respective destination. Each of the viability groups contains a subset of the plurality of destinations. The method continues by displaying a list of the plurality of destinations on a display device associated with the vehicle, with the plurality of destinations being ordered in the list based at least in part on their respective viability group classifications. In this regard, destinations classified into higher viability groups may be preferentially displayed over destinations classified into lower viability groups.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle authorization and geofence envelope determination. One of the methods includes determining, by an electronic system in an Unmanned Aerial Vehicle (UAV), an estimated fuel remaining in the UAV. An estimated fuel consumption of the UAV is determined. Estimated information associated with wind affecting the UAV is determined using information obtained from sensors included in the UAV. Estimated flights times remaining for a current path, and one or more alternative flight paths, are determined using the determined estimated fuel remaining, determined estimated fuel consumption, determined information associated wind, and information describing each flight path. In response to the electronic system determining that the estimated fuel remaining, after completion of the current flight path, would be below a first threshold, an alternative flight path is selected.

A method for supporting aerial operation includes obtaining a real-time location of an aircraft, obtaining a location of a supply station, obtaining a location of a next waypoint, and controlling the aircraft based on a status parameter related to a flight status of the aircraft associated with the real-time location of the aircraft. Controlling the aircraft includes controlling, in response to the status parameter satisfying a first preset condition, the aircraft to fly to the next waypoint; and controlling, in response to the status parameter satisfying a second preset condition, the aircraft to fly to the supply station.

A method for processing data generated by an event management device determining mission adaptation suggestions from current or future mission data sources, the method comprising the following steps of: receiving at least one suggestion comprising an item of information and a datum related to its construction; generating a notification for each received suggestion; storing the notification in a notifications memory. The method further comprises at least one iteration of the following steps: applying a classification operation to the notification; applying processing to the notification as a function of the classification operation, the processing comprising a step of rendering the notification on a Human-Machine interface in response to a display condition, the rendering using a display form and display dynamics.

A method comprising receiving a plurality of images of a scene captured by at least one drone; identifying features within the plurality of images; identifying similar images of the plurality of images based on the features identified within the plurality of images; comparing the similar images based on the features identified within the similar images to determine a proportion of features shared by the similar images; selecting a subset of the plurality of images that have a proportion of shared features that meets a predetermined range; generating a first 3D model of the scene from the subset of images using a first 3D model building algorithm; generating a second 3D model of the scene from the subset of images using a second 3D model building algorithm; computing errors for the first and second 3D models; and selecting as the model of the scene the first or second 3D model.

A transport network management system identifies a service objective for a plurality of VTOL aircraft and retrieves VTOL data including locations of the plurality of VTOL aircraft. An estimate of demand for transport services to be provided at least in part by one of the VTOL aircraft is generated and routing data for the plurality of VTOL aircraft is determined based on the estimated demand and the service objective. Routing instructions based on the routing data are sent to at least a subset of the VTOL aircraft.

The present disclosure relates to systems, methods, and computer readable media implemented in connection with an unmanned aerial vehicle (UAV) to navigate a UAV along a desired path. For example, systems disclosed herein identify an anticipatory flight path and identify a plurality of reference points on the flight path relative to a current position of the UAV. The systems described herein may further determine reference angles between a current trajectory of the UAV and the reference points to determine an updated trajectory that the UAV should take to stay close to the identified flight path. The systems described herein may further cause the UAV to accelerate in a lateral direction based on the updated trajectory. The features and functionality of systems disclosed herein enable the UAV to accurately follow a complex path having sharp turns with little or no advanced knowledge of the flight path prior to departure.

A system for selection of physical asset transfer paths using mixed-payload aeronautic excursions includes a client-interface module operating on at least a server, the client-interface module, configured to receive an initial location, a terminal location, and a description of at least an element of non-sapient payload, a path-selection module operating on the at least a server configured to identify at least an aeronautic path from the initial location to the terminal location and a plurality of aeronautic excursions traversing the at least an aeronautic path and select an aeronautic excursion of the plurality of aeronautic excursions based on a plurality of excess non-sapient payload storage estimations corresponding the plurality of aeronautic excursions, and a capacity estimation artificial intelligence module operating on the at least a server, the capacity estimation artificial intelligence module designed and configured to generate the plurality of excess non-sapient payload storage estimations.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle authorization and geofence envelope determination. One of the methods includes determining, by an electronic system in an Unmanned Aerial Vehicle (UAV), an estimated fuel remaining in the UAV. An estimated fuel consumption of the UAV is determined. Estimated information associated with wind affecting the UAV is determined using information obtained from sensors included in the UAV. Estimated flights times remaining for a current path, and one or more alternative flight paths, are determined using the determined estimated fuel remaining, determined estimated fuel consumption, determined information associated wind, and information describing each flight path. In response to the electronic system determining that the estimated fuel remaining, after completion of the current flight path, would be below a first threshold, an alternative flight path is selected.

The aircraft control systems and methods disclosed herein are configured to detect a residual error associated with a flight control computer of an aircraft and mitigate the effect(s) of such residual error in order to maintain safe operation of the aircraft. In some embodiments, the systems and methods are configured to detect an out-of-flight-envelope situation of the aircraft and determine whether or not the flight control computer is attempting to recover the aircraft from the out-of-flight-envelope situation. If the flight control computer is perceived as attempting to recover the aircraft from the out-of-flight-envelope situation, the flight control computer is permitted to continue controlling the aircraft. Otherwise, the excursion outside of the normal flight envelope is perceives as potentially having been caused by a residual error and the flight control computer is prevented from continuing to control the aircraft.