A system may include a vehicle. The vehicle may include an array of haptic devices. The system may further include at least one processor configured to: determine a location of an object or occurrence relative to the user; based at least on the location of the object or occurrence relative to the user, select at least one haptic device of the array of haptic devices to be driven and function as a directional haptic alert to the user, wherein the directional haptic alert is indicative of a direction from the user toward the object or occurrence; and output at least one command to cause a driving of the selected at least one haptic device, wherein the driving of the selected at least one haptic device is perceivable by the user as the directional haptic alert.

In some embodiments, a method for determining a location of an unmanned system (UMS) can include: receiving data from a plurality of data sources, wherein the data sources include a geolocation sensor and at least one of an RF receiver, a RADAR system, a LIDAR system, a SONAR system, an infrared camera, a Simultaneous Location and Mapping Algorithm (SLAM) system, an inertial sensor, or an acoustic sensor; determining a reliability of one or more of the data sources based on the received data; assigning weights to the data sources based at least in part on the determination of the reliability of the one or more data sources; and determining the location of the UMS using the received data and the assigned weights.

Methods, systems, apparatuses, and computer program products for increasing awareness of an environmental condition for an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, a method of increasing awareness of an environmental condition for a UAV includes an environmental awareness controller utilizing data associated with a first UAV to detect an environmental condition at a location associated with the first UAV. In this embodiment, the environmental awareness controller also updates environmental condition information associated with the location to indicate detection of the environmental condition at the location and provides the updated environmental condition information to a device associated with second UAV.

A system may include an aircraft including a processor. The processor may be configured to: receive a lead aircraft assignment instruction, the lead aircraft assignment instruction instructing the aircraft to follow a lead aircraft; determine whether the aircraft is receiving sufficient lead aircraft traffic data from the lead aircraft to record a four-dimensional (4D) track of the lead aircraft; upon a determination that the aircraft is receiving the sufficient lead aircraft traffic data, output an acceptance of the lead aircraft assignment instruction; receive the lead aircraft traffic data from the lead aircraft, the lead aircraft traffic data including information at least one of associated with or of the track of the lead aircraft; record the track of the lead aircraft; and output commands configured to cause (a) the aircraft to follow the recorded track, or (b) guidance content for following the recorded track of the lead aircraft to be presented.

The present disclosure addresses the problem of UAVs pursuing a swarm of target UAVs. The target UAVs are flying together as a flock that are initially modeled as a circle having a time-varying radius or an arbitrarily-shaped swarm that may change in size. Guidance of the pursuing UAVs is developed based on a collision cone framework, wherein the pursuing UAVs cooperatively steer the velocity vector of any point in their convex hull, to intercept the target. Also, the problem of capturing a swarm of intruder UAVs using a net manipulated by a team of defense UAVs is disclosed. The intruder UAV swarm may be stationary, in motion, and even maneuver. Collision cones in 3-dimensional space are used to determine the strategy used by the net carrying UAVs to maneuver or manipulate the net in space in order to capture the intruders.

In an example, a method may assign a first drone of a drone network a first task, the first task may instruct the first drone to transport a first package to a first destination in a geographic area. The method may receive roadway traffic data for a plurality of roadway vehicles in the geographic area; determine, based on the roadway traffic data and during transit of the first package to the first destination by the first drone, to transfer the first package to a second drone in the drone network; and transfer the first package to the second drone in the drone network.

Systems and methods are disclosed for transporting people using air vehicles.

Methods, devices and systems are provided for harmonizing output display characteristics of one component with those of other components onboard a vehicle, such as an aircraft. A line-replaceable unit (LRU) suitable includes a display driver to be coupled to a display command bus, a data storage element to maintain calibration information for the display driver, and a control module coupled to the display driver and the data storage element to identify a current state of an input command signal from the display command bus, identify an adjustment for the display driver based on the calibration information using the current state of the input command signal, and automatically operate the display driver in accordance with the adjustment.

Proposed is a method of determining a location for swarm flight using UWB, the method including: computing a reference location from GPS information in a case where the location is measured; sending out a pulling signal, preset according to a two-way ranging format, according to slave ranging scheduling corresponding to each formation, and receiving a pushing signal from a neighboring flight vehicle and performing ranging; computing a relative location in the formation on a master-slave basis from a ranged pull-push relationship using TWR time information, and computing the relative location in the formation on a slave-slave basis using a received signal strength indicator and time of arrival; generating a fingerprint map in a manner that varies with each formation, using all the computed relative locations in the formation on the master-slave basis; and computing the location of the swarm flight vehicle using the generated fingerprint map.

Systems and methods for vehicle registration are disclosed. A server computer and at least one database are constructed and configured for network communication with at least one vehicle. The at least one vehicle transmits a registration request to the server computer. The server computer assigns a unique registration ID for the at least one vehicle. The at least one database comprises a geofence database storing information of a multiplicity of registered geofences. Each of the multiplicity of registered geofences comprises a plurality of geographic designators defined by a plurality of unique Internet Protocol version 6 (IPv6) addresses. One of the plurality of unique IPv6 addresses is encoded as a unique identifier for each of the multiplicity of registered geofences. The server computer caches the information of the multiplicity of registered geofences on the at least one vehicle.