Embodiments of the present disclosure provide systems and methods for determining intersection threat indices. In one embodiment, geometry data representing a set of pathways in an environment is identified. An initial threat index value for a first intersection is generated based on a quantity of pathways in a subset of the set of pathways defining the first intersection. An intermediate threat index value for the first intersection is generated based on the initial threat index value for the first intersection and at least one other initial threat index value for at least one other intersection determined to be adjacent to the first intersection. A final threat index value is generated based on the intermediate threat index value and dynamically received data. Information indicative of the final threat index value for the first intersection is provided to a user interface.

A method is disclosed. The method includes receiving an indication of presence of an aircraft in a vicinity of an uncrewed aerial vehicle (UAV) which is flying along a flight path. The method also includes decelerating, based on the received indication, the UAV to reduce a ground speed along the flight path. The method additionally includes descending, after reducing the ground speed, the UAV to a hover position. The method further includes determining, while the UAV is in the hover position, whether to resume the flight path or to land the UAV based on a determination of continued presence of the aircraft in the vicinity of the UAV. The method also includes controlling the UAV based on the determination of whether to resume the flight path or to land the UAV.

A current flight path of an aircraft is defined with respect to a two-dimensional mesh plane including a first plurality of nodes. Each node is associated with a pre-designated location. First, second, and third nodes that are the closest to a current aircraft location are identified. Neighboring aircraft data associated with neighboring aircraft disposed within a pre-defined distance of the aircraft is received. The neighboring aircraft data includes a neighboring aircraft location for each the neighboring aircraft. First, second, and third node weights are allocated to the first, second, and third nodes based in part on the pre-designated locations of the first, second, and third nodes with respect to the neighboring aircraft locations. A modified flight path based at least in part on the first, second, and third node weights is generated for display as a suggested flight path on an onboard display device.

A method of managing air traffic includes acquiring information including one or more flight parameters of each aircraft with a proviso that at least one aircraft is uncrewed in a designated region surrounding a digital traffic signal; aggregating the acquired information; analyzing aggregated information with a processor; managing the digital traffic signal with at least one signal for each aircraft to avoid a collusion; and formatting and sharing a message of a unique digital traffic signal for each aircraft.

Methods, systems, and apparatus for drone navigation within a property. A method includes detecting an obstacle in a navigation path of a drone, determining a classification of the obstacle, determining whether to temporarily land based on the classification of the obstacle, and temporarily landing the drone until the obstacle clears the navigation path of the drone.

Disclosed are systems and associated methods for calculating and displaying formation flight information, to include aircraft spacing, predicted trajectory data, collision avoidance alerts, time on target details, and chalk-specific information, on an augmented reality display designed to interface with aviation helmets. Two or more networked computing devices, each on a separate aircraft, collect some combination of aircraft altitude, location, and inertial data, preform certain calculations, and then develops a virtual overlay according to aircraft relative position and nearby aircraft trajectories. The virtual overlay is further informed by compass and gyroscopic data from an operatively coupled augmented reality display device. The developed virtual overlay is then transmitted to the display device for viewing by the pilot. The display of relevant formation flight information using augmented reality tools may result in improved formation flight spacing, emergency procedure response, and collision avoidance.

The invention concerns a suborbital space traffic control system that comprises: a radar system configured to monitor a predetermined suborbital region and detect and track objects in the predetermined suborbital region. The objects include vehicles and space debris; and a suborbital space traffic monitoring system configured to: receive, from the radar system, tracking data related to the objects detected and tracked by the radar system; monitor, on the basis of the tracking data, trajectories of the objects in the predetermined suborbital region using one or more predetermined machine-learning techniques to detect potentially hazardous situations for the vehicles in the predetermined suborbital region; and, if it detects a potentially hazardous situation for one or more given vehicles, transmit corresponding alarm messages to the given vehicle(s).

Methods, devices, and systems for air traffic control (ATC) flight management are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive airport information associated with an airport, generate, using the airport information, an ATC flight management analysis that includes an airport map showing locations of aircraft at the airport and a card panel including a number of flight cards, where each respective one of the number of flight cards corresponds to a different respective one of the aircraft at the airport, and a user interface to display the ATC flight management analysis in a single integrated display.

A method is provided for detecting and avoiding conflict along a current route of a robot. The method includes accessing a trajectory of the robot on the current route of the robot, and a predicted trajectory of a nearby moving object, and from the trajectory and predicted trajectory, detecting a conflict between the robot and the nearby moving object. Alternate routes for the robot are determined, each of which includes an alternative route segment offset from the current route, and a transition segment from the current route to the alternative route segment. Routes including the current and alternative routes are evaluated according to a cost metric, and a route from the routes is selected for use in at least one of guidance, navigation or control of the robot to avoid the conflict.

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.