An ADS-B traffic filter to remove ADS-B positional messages or tracks with unstable ADS-B data or anomalies. The anomaly in ADS-B data can be caused by own ship ADS-B data processing and by errors in ADS-B OUT messages, such as positional outliers, ADS-B OUT parameters gaps, frozen data, walking track when stopped and other issues encoded within ADS-B OUT messages. The ADS-B traffic filter of this disclosure may remove erroneous ADS-B targets from computation input delivered to a traffic collision warning systems in locations where high horizontal position accuracy is desirable such as ground operations. The filter may validate and compare positions decoded from received ADS-B OUT messages, and short duration data history of targets, to independent signal components from ADS-B broadcast (e.g., position and ground speed data), as well as compare the reported position with a reasonability bound provided by local runway or airport geometry data.

The present disclosure provides systems and methods for predicting ground effects along a flight plan. The systems and methods provide a processor executed process including the steps: receiving a flight plan for a vertical take-off and landing (VTOL) aircraft; receiving terrain and obstacles geospatial data for the flight plan from the database; determining weight of the VTOL aircraft along the flight plan; determining temperature of the environment along the flight plan; determining ground effect data along the flight plan based on the temperature and the weight; and generating one or more commands to control a system of the VTOL aircraft based on the ground effect data.

The present disclosure provides systems and methods for predicting ground effects along a flight plan. The systems and methods provide a processor executed process including the steps: receiving a flight plan for a vertical take-off and landing (VTOL) aircraft; receiving terrain and obstacles geospatial data for the flight plan from the database; determining weight of the VTOL aircraft along the flight plan; determining temperature of the environment along the flight plan; determining ground effect data along the flight plan based on the temperature and the weight; based on the terrain and obstacles data, the ground effect data and the flight plan, predict where, along the flight plan, the VTOL aircraft will traverse a ground effect region, thereby providing prediction data; and generating one or more commands to control a system of the VTOL aircraft based on the prediction data.

An apparatus includes an inertial measurement unit (IMU) configured to generate information identifying accelerations and changes in angular orientation associated with an object in motion. The apparatus also includes at least one processor configured to identify a navigation state of the object within an Earth-fixed frame of reference using the information and perform one or more navigation functions based on the navigation state. To identify the navigation state of the object, the at least one processor is configured to use (i) an object body or IMU-to-inertial transformation that is updated based on the changes in angular orientation and (ii) an inertial-to-Earth-fixed transformation. The navigation state of the object may be identified in each of multiple iterations, and the at least one processor may be configured to update the inertial-to-Earth-fixed transformation during the iterations.

Methods and systems herein relate to unmanned aerial vehicles (UAVs) avoiding collisions by interacting with servers. Some embodiments of a method include receiving, by an unmanned aircraft system (UAS) traffic management (UTM) server one or more intended trajectories from one or more UAVs; determining, by the UTM server one or more conflicts based on the intended trajectories intersecting over a region monitored by the UTM server; and communicating, by the UTM server the one or more conflicts, the communicating includes assigning a value to each of a plurality of three-dimensional (3D) grid cells representing the region monitored by the UTM server, each value representative of a potential for conflict associated with a grid cell; and transmitting, to the one or more UAVs, value data associated with the plurality of grid cells.

An enhanced flight vision system for an aircraft includes an image acquisition system configured to acquire images of the surroundings outside the aircraft and a display system configured to receive images produced by the image acquisition system and to display these images on a display in the cockpit of the aircraft. The display system is configured to acquire information about the flight path angle of the aircraft when approaching a runway, to calculate a difference between the flight path angle of the aircraft and a nominal angle and to deactivate the display of the images received from the image acquisition system on the display when the absolute value of the difference is greater than a first angular value.

Systems and methods for detecting and representing traffic maneuvers are provided. The method includes receiving traffic information for a neighbor traffic. The method may use the neighbor traffic information to calculate a volume around the neighbor traffic, defined by min max thresholds related to the traffic information. The traffic information is monitored until the default time elapses, to thereby determine a delta latitudinal position, a delta longitudinal position, a delta altitude, a delta pitch, and a delta roll, of the neighbor traffic during the default time; and a traffic maneuver is identified upon the occurrence of one or more of (i) the delta latitudinal position exceeded the maximum latitudinal threshold, (ii) the delta longitudinal position exceeded the maximum longitudinal threshold, and (iii) the delta altitude exceeded the magnitude of the maximum altitude threshold. An enhanced symbolic indicator of the traffic maneuver is rendered on a map image.

Systems and methods of non-line-of-sight passive detection and integrated early warning of an unmanned aerial system by a plurality of acoustic sensors are described. In some embodiments, the plurality of acoustic sensors is positioned within an intra-netted array in depth according to at least one of a terrain, terrain features, or man-made objects or structures. The acoustic sensors are capable of detecting and tracking unmanned aerial systems in non-line-of-sight environments. In some embodiments, the acoustic sensors may be in communication with internal electro-optical components or other external sensors, with orthogonal signal data then transmitted to remote observation stations for correlation, threat determination and if required, mitigation. The unmanned aerial systems may be classified by type and a threat level associated with the unmanned aerial system may be determined.

A management device allows: an information acquisition unit to acquire information that identifies an unmanned aerial vehicle that is an investigation target; a flight position determination unit to determine a flight position of the unmanned aerial vehicle that is the investigation target at a certain point in time; a search unit to search for one or more other unmanned aerial vehicles having a photographing function and positioned around the unmanned aerial vehicle that is the investigation target at the certain point in time; and an acquisition assist processing unit to assist acquisition of photographed data taken by the one or more other unmanned aerial vehicles that are searched for. Further, the management device may perform the above processing using communications through a blockchain network to cooperate with the blockchain network.

Systems and methods for detection and display of marine objects for an aircraft. One example system includes a transceiver configured to communicate with an Automatic Identification System (AIS) server and an electronic controller located within an aircraft. The electronic controller is configured to provide on a display an interface comprising a map representing a travel area. The electronic controller is configured to provide, on the map, a first graphical representation of the aircraft within the travel area. The electronic controller is configured to receive, via the transceiver, marine object data from the AIS server. The electronic controller is configured to periodically update, on the map, a second graphical representation of a first marine object within the travel area based on the marine object data.