A method and apparatus are provided for positioning an unmanned robotic vehicle (URV). The URV captures a set of one or more of image and non-image information of an object while positioned at a first position, provides the set of image/non-image information to a server entity, in response to providing the set of image/non-image information, receives a three-dimensional (3D) model associated with the object, autonomously determines a second position based on the 3D model, and autonomously navigates to the second position. At the second position, the URV may capture further image and/or non-image information and, based on the further captured image/non-image information, autonomously determine, and navigate to, a third position. The steps of capturing further image and/or non-image information and, based on the captured image and/or non-image information, autonomously determining and navigating to further positions may be repeated indefinitely, or until otherwise instructed.

Disclosed herein are an automatic flight control system and method for an unmanned drone, in which a guidance system installed on a moving object transmits a guide signal, and the unmanned drone automatically flies based on the guide signal, thus allowing the unmanned drone to maintain a uniform distance from the moving object. The presented automatic flight control system for an unmanned drone is configured such that a guidance system transmits a guide signal based on a guidance request signal received from the unmanned drone, and the unmanned drone automatically flies depending on an automatic flight control value that is set based on an automatic flight guide signal when the guide signal is the automatic flight guide signal, and flies to the automatic control location set in response to an automatic location guide signal when the guide signal is the automatic location guide signal.

A service unmanned aerial vehicle (UAV) includes a flight system, a status component, a navigation system, and a recovery component. The flight system is for flying the service UAV. The status component is configured to determine that a first UAV is disabled. The navigation system is configured to fly the service UAV to a landing location of the first UAV in response to the status component determining that the first UAV is disabled. The recovery component is configured to recover one or more of a payload of the first UAV and a portion of the first UAV.

Arrangements relating to the transfer of data from an autonomous vehicle to a remote operation computing system while the autonomous vehicle is operating in a remote operational mode are described. A driving environment of the autonomous vehicle can be sensed using a sensor system to acquire driving environment data. The sensor system includes a plurality of different types of sensors. A driving environment complexity can be determined. The availability of a communication channel between the autonomous vehicle and the remote operation computing system can be determined. A subset of the plurality of different types of sensors can be selected based on the determined driving environment complexity and/or the determined communication channel availability and/or its quality. Driving environment data acquired by the selected subset of the plurality of different types of sensors can be sent to the remote operation computing system.

Method of navigation of an aerial drone in the presence of at least one intruding aircraft in an airspace zone surrounding the drone, wherein an estimated distance between the drone and the intruding aircraft is calculated based on a strength of the signal received and validated if an estimated value of an element of positioning data calculated by the drone using the estimated distance substantially corresponds to a measured value of the element of positioning data.

Aerial drone designed for implementation of this method.

The presently disclosed subject matter includes a collision warning and avoidance system and method for detecting a collision risk between an interrogating aircraft and at least one interrogated aircraft. Signals received from the at least one interrogated aircraft or by the at least one interrogated aircraft and at least one other interrogating aircraft are used for determining various situation awareness data which is used for determining whether the interrogating aircraft is in a risk of collision. If indeed a collision risk exists a collision warning is generated, the collision warning including data indicative of at least an estimated location of the at least one interrogated aircraft.

In one example, a method for combining radio surveillance data includes receiving air traffic surveillance data from one or more aircraft via one or more remotely operable data link systems. The method further includes combining the air traffic surveillance data from the one or more aircraft into a composite air traffic surveillance data set. The air traffic surveillance data is based at least in part on radio surveillance messages received by the one or more aircraft from additional aircraft.

This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (UAV) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV's airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, an acoustic signature emitted or reflected by the objet. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV's air-space.

Systems, methods and computer-storage media are provided for use of navigational aids. Three-dimensional graphical representations of flight plans, flight paths, waypoints, etc., may be displayed to improve situational awareness. Additionally, dynamic monitoring of airports, waypoints, traffic, etc., may be performed so that real-time updates are available to users. The real-time updates will not only include updated location information and any relevant navigational markers (e.g., updated waypoints, new traffic, etc.) but will also include detailed information related to the navigational markers such as a distance from the marker, an airspeed of the marker (if applicable), and the like.

Systems and methods for UAV safety are provided. An authentication system may be used to confirm UAV and/or user identity and provide secured communications between users and UAVs. The UAVs may operate in accordance with a set of flight regulations. The set of flight regulations may be associated with a geo-fencing device in the vicinity of the UAV.