An operation support apparatus includes: an acquisition unit that acquires an operation status of transportation means; a generation unit that performs processing of recognizing voices of a first staff who gives an instruction to operate the transportation means and a second staff who is instructed by the first staff, and generates character information obtained by converting the recognized voice into characters; a detection unit that performs syntax analysis on the character information and detects wrong recognition by the first or second staff; and a display control unit that displays the character information and the detection result of the wrong recognition by the detection unit on a display device visually recognizable by the first staff, thereby reducing occurrence of an accident due to the wrong recognition by the staff related to operation of the transportation means at a site where the transportation means is operated.

This disclosure relates to apparatuses, systems, and methods for controlling an aircraft. A computing system may identify a first command signal received via a flight control at a time point to control navigation of the aircraft through an environment. The computing system may attenuate the first command signal using a fade function over a time window relative to the time point to generate a second command signal. The computing system may input the second command signal to a model to generate predicted paths for the aircraft through the environment over the time window. The computing system may determine that at least one predicted path intersects with an obstacle in the environment during the time window. The computing system may generate a location to which to navigate the aircraft to avoid the obstacle. The computing system may perform an action to direct the aircraft to the location.

A method for controlling an unmanned aerial vehicle (UAV) includes determining whether the UAV is within a first flight restriction zone or a second flight restriction zone and effecting a restriction on the UAV in accordance with a result of the determination, including prohibiting the UAV from flying in response to determining that the UAV is within the first flight restriction zone, or controlling the UAV to fly below a flight ceiling in response to determining that the UAV is within the second flight restriction zone.

A method of targeting, which involves capturing a first video of a scene about a potential targeting coordinate by a first video sensor on a first aircraft; transmitting the first video and associated potential targeting coordinate by the first aircraft; receiving the first video on a first display in communication with a processor, the processor also receiving the potential targeting coordinate; selecting the potential targeting coordinate to be an actual targeting coordinate for a second aircraft in response to viewing the first video on the first display; and guiding a second aircraft toward the actual targeting coordinate; where positive identification of a target corresponding to the actual targeting coordinate is maintained from selection of the actual targeting coordinate.

A movable object includes one or more processors individually or collectively configured to assess a location of the movable object, calculate a distance between the movable object and a restricted region using the location of the movable object, assess whether the distance falls within a first distance threshold, and instruct the movable object to take a movement response measure selected from (1) a first movement response measure when the distance falls within the first distance threshold, and (2) a second movement response measure different from the first movement response measure when the distance falls outside the first distance threshold. The first movement response measure is related to a current movement status of the movable object.

An UAV monitoring server causes a base object of an UAV base to be displayed on a two-dimensional map screen, and also causes, based on an operation status of each of a plurality of UAVs, information indicating the UAV in flight standby, take-off operation, or landing operation at the UAV base and information indicating the UAV in flight outside the UAV base to be displayed in a different display mode on the two-dimensional map screen.

The systems, methods, and apparatuses described herein provide integrated weather forecast products designed to assist operations managers with operational decision-making related to a designated event or set of events. The present disclosure provides a way to process weather data from various sources and in diverse data formats containing varying spatial resolutions and temporal resolutions, in order to generate an integrated and cohesive weather projection product such that the weather projection product is continuous in both. spatial and temporal domains, subject to data availability, relative to a designated event or set of events.

An air vehicle control system (1) and method for operation of one or more air vehicles, AVs, (2) flying along flight routes (FR) assigned to the air vehicles, AVs, (2) by said air control system (1) according to a calculated flight route plan, FRP, within a predefined airspace, wherein an air flight guarding control unit (3) integrated in the air vehicle, AV, (2) is adapted to intervene automatically with flight controls of the air vehicle, AV, (2) on the basis of a monitored flight status of the air vehicle, AV, (2) such that the air vehicle, AV, (2) is kept during a flight movement within three-dimensional confines or boundaries of the assigned flight route (FR) and collisions with other air vehicles, AVs, (2) or with other obstacles are avoided.

Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.

A system for urban air mobility monitors flight separation for compliance with a safe separation distance. A reference formation airspace is established for a reference air taxi based on minimum longitudinal, lateral and vertical parameters. When penetration of the reference formation airspace is detected, a penetration airspace is established. A centroid of the penetration airspace is determined and a target separation to the centroid is supplied to the air taxi to reestablish safe separation. The extent of separation is also safely contained by the presence of virtual air taxis whose positions on the periphery of the penetrated airspace serve to limit potential penetration of surrounding air taxi air spaces.