An aerial vehicle includes a communication unit configured to receive a wireless signal from a geo-fencing device, and a flight controller configured to generate one or more control signals that cause the aerial vehicle to operate in accordance with a set of flight regulations generated based on the wireless signal. The geo-fencing device is configured not for landing of the aerial vehicle. The set of flight regulations includes rules for controlling at least one of the aerial vehicle, a carrier carried by the aerial vehicle, or a payload of the aerial vehicle.

Aspects of the present disclosure provide systems and methods for in-flight go-around maneuver detection. An example method includes monitoring information associated with a flight path of a first aircraft while the first aircraft is flying. The method further includes detecting a maneuver associated with the flight path in response to one or more criteria associated with the monitored information being satisfied. The method further includes performing one or more actions associated with the second aircraft in response to detecting the maneuver.

A system comprising: communications circuitry; a user interface (UI); and processing circuitry disposed within an ownship vehicle, the processing circuitry being configured to: receive, via the communications circuitry, one or more first locations of an ownship vehicle; receive, via the communications circuitry, one or more second locations of a second vehicle; determine, based at least in part on the one or more first locations and the one or more second locations, whether the second vehicle satisfies a threshold condition; in response to determining that the second vehicle satisfies the threshold condition, cause the UI to output an alert corresponding to the second vehicle; and in response to determining that the second vehicle does not satisfy the threshold condition, cause the UI to not output the alert.

Methods and systems for a method for tracking airborne objects include receiving a data set including a plurality buffer images where the data set is associated with a timestamp. Converting each of the plurality of buffer images into a plurality of radial images associated with the timestamp. Subtracting a background image from plurality of radial images to produce a plurality of subtracted images. Denoising each of the plurality of subtracted images to produce a plurality of threshold images. Detecting a track within the plurality of threshold images. Comparing the track across the plurality of threshold images to identify a flying object from the track, and storing a set of geospatial data points and attributes of the flying object.

An aerial vehicle is configured to calculate ranges to objects around the aerial vehicle when operating within indoor spaces, using a LIDAR sensor or another range sensor. The aerial vehicle calculates ranges within a plurality of sectors around the aerial vehicle and identifies a minimum distance measurement for each of the sectors. Sets of adjacent sectors having distance measurements above a threshold are identified, and bearings and minimum distance measurements of the sets of adjacent sectors are determined. When the aerial vehicle detects an object within a flight path, the aerial vehicle selects one of the sets of adjacent sectors based on the minimum distance measurements and executes a braking maneuver in a direction of the selected one of the sets of adjacent sectors.

This disclosure is directed to an automated unmanned aerial vehicle (UAV) self-identification system, devices, and techniques pertaining to the automated identification of individual UAVs operating within an airspace via a mesh communication network, individual UAVs and a central authority representing nodes of the mesh network. The system may detect nearby UAVs present within a UAV's airspace. Nearby UAVs may self-identify or be identified via correlation with one or more features detected by the UAV. The UAV may validate identifying information using a dynamic validation policy. Data collected by the UAV may be stored in a local mesh database and distributed to individual nodes of the mesh network and merged into a common central mesh database for distribution to individual nodes of the mesh network. UAVs on the mesh network utilize local and central mesh database information for self-identification and to maintain a dynamic flight plan.

Systems and methods of the present invention are provided to generate a plurality of flight trajectories that do not conflict with other aircraft in a local area. Interventions by an air traffic control system help prevent collisions between aircraft, but these interventions can also cause an aircraft to substantially deviate from the pilot's intended flight trajectory, which burns fuels, wastes time, etc. Systems and methods of the present invention can assign a standard avoidance interval to other aircraft in the area such that a pilot's aircraft does not receive an intervention by an air traffic control system. Systems and methods of the present invention also generate a plurality of conflict-free flight trajectories such that a pilot or an automated system may select the most desirable flight trajectory for fuel efficiency, speed, and other operational considerations, etc.

Systems, methods and computer-storage media are provided for a touch-screen interface panel (TSIP) of an aircraft. The TSIP may communicate with one or more aircraft systems. In other words, the TSIP is configured to display information of one or more aircraft systems. For example, the TSIP may receive a request for weather information. In response, the TSIP receives weather information from a weather system and displays it via the TSIP screen. In another example, the TSIP may display warnings or alerts that are detected by an aircraft warning system, maintenance system, or the like. Furthermore, information that may have typically been looked up physically or called in to a tower may now be provided via the TSIP by the interfacing of the TSIP with the systems maintaining the information. For example, a charts database may communicate with the TSIP and the information thereof displayed via the TSIP.

A flight hindrance display apparatus includes circuitry. The circuitry is configured to acquire surrounding information of an aircraft. The surrounding information is related to a hindrance factor which is a possible flight hindrance to the aircraft. The circuitry is configured to determine a spatial range of the flight hindrance factor on a basis of the acquired surrounding information. The circuitry is configured to determine a flight hindrance cross-section that intersects a plane including a vector of a flight direction of the aircraft and is included in the determined spatial range of the flight hindrance factor. The circuitry is configured to cause a display unit to stereoscopically display an own position of the aircraft, the spatial range of the flight hindrance factor, and the flight hindrance cross-section.

A device receives a request for a mission that includes traversal of a flight path from a first location to a second location and performance of mission operations, and calculates the flight path from the first location to the second location based on the request. The device determines required capabilities for the mission based on the request, and identifies UAVs based on the required capabilities for the mission. The device generates flight path instructions for the flight path and mission instructions for the mission operations, and provides the flight path/mission instructions to the identified UAVs to permit the identified UAVs to travel from the first location to the second location, via the flight path, and to perform the mission operations at the second location.