Methods and associated systems and apparatus for controlling a moveable device are disclosed herein. The moveable device includes an image-collection component and a distance-measurement component. A representative method includes generating an image corresponding to the operator and generating a first set of distance information corresponding to the operator. The method identifies a portion of the image in the generated image and then retrieves a second set of distance information from the first set of distance information based on the identified image portion corresponding to the operator. The method then identifies a gesture associated with the operator based on the second set of distance information. The method then further generates an instruction for controlling the moveable device based on the gesture.

To ensure stability of flying by an unmanned aerial vehicle, first acquisition means of an unmanned aerial vehicle control system acquires first information, which is at least one piece of information for operating an unmanned aerial vehicle that is flying or information on a result of detecting an operation of the unmanned aerial vehicle. Second acquisition means acquires second information for operating the unmanned aerial vehicle after switching of control of the unmanned aerial vehicle. Flight control means restricts, in accordance with the first information and the second information, switching to control of the unmanned aerial vehicle based on the second information.

Boundary information for a three-dimensional (3D) flying space is obtained. An input associated with steering a vehicle is received from an input device and location information associated with the vehicle is received from a location sensor. A control signal for the vehicle is generated based at least in part on the boundary information, the input, and the location information. In the event the input would cause the vehicle to cross the boundary of the 3D flying space if obeyed, the control signal for the vehicle is generated so that the vehicle is prevented from crossing the boundary of the 3D flying space. In response to receiving an indication associated with the vehicle landing, the boundary information is modified so that the 3D flying space includes a landing pathway.

A method and system of measuring a radio wave distribution of a radio signal source and estimating corresponding radio characteristics by using a flying vehicle is provided. The method includes the following steps. At a number of flight positions during a measurement process, a number of first radio signals transmitted by the radio signal source are measured by the flying vehicle. A position of the radio signal source is estimated according to the first radio signals and a radio channel model. A number of first radio characteristics of the first radio signal are obtained, and a radio wave distribution of the radio signal source is estimated according to the first radio characteristics of the first radio signals and a number of second radio characteristics of a number of second radio signals in the radio wave distribution are estimated according to the first radio characteristics of the first radio signals.

The law enforcement standoff inspection drone capability (L-SID) integrates Various technology to enable a capability implemented at the squad car level to allow the first-to-scene the ability to remotely pre-screen the scene for threat, before an on-foot approach. This is accomplished with an officer launched and controlled and specially configure small unmanned aircraft system (UAS). The LAS is integrated with a specially configured one-hand drone controller, a wearable see through heads-up-display glasses, microphone that's linked to the UAS's onboard loudspeaker, and a special processing that enables looking through a vehicle of building tinted windows during enforcement event. The system operates on a private ad-hoc network, implements IEEE 802.1 1 g/n WPA 3 standards, and provides continuous live steamed scene data throughout the enforcement event. All data and video collected is transmitted in real-time to headquarters.

A method is provided for detecting and avoiding conflict along a current route of a robot. The method includes accessing or determining trajectories of the robot and a nearby moving object forward in time from their respective current positions, and detecting a conflict from a comparison of the trajectories. The method includes selecting a maneuver to avoid the conflict, and outputting an indication of the maneuver for use in at least one of guidance, navigation or control of the robot to avoid the conflict. Selection of the maneuver includes determining a plurality of angles that describe the conflict such as those at which the robot and moving object observe one another, and/or an angle between their trajectories, and evaluating the plurality of angles to select the maneuver.

Provided are an imaging apparatus, an imaging method, an imaging program, and an imaging system capable of easily making an imaging plan. The imaging apparatus (100) includes an imaging evaluation map acquiring section (101) that acquires an imaging evaluation map, and an imaging point selecting section (102) that selects an imaging point suitable for imaging an object and an imaging condition at the imaging point on the basis of the acquired imaging evaluation map. In the imaging evaluation map, an evaluation value that represents an evaluation of imaging in a case where an object is imaged at a specific position under a specific imaging condition is set at a plurality of imaging candidate positions for each of a plurality of imaging conditions.

This system (36) for controlling an aircraft thrust reversal means comprises a reverse idle control means (38), a first detection means (31) configured to detect, when the reverse idle control is active, a condition for activation of the thrust reversal means, and an actuation means (52) configured to activate the thrust reversal means when the first detection means (31) detects a condition for activation of the thrust reversal means.

It further comprises a second detection means (42, 44, 46, 48, 49) configured to detect a condition for activation of the reverse idle control, the control means (38) being configured to activate the reverse idle control when the second detection means (42, 44, 46, 48, 49) detects a condition for activating the reverse idle control.

An unmanned aerial vehicle (“UAV”) having an envelope and a drone body capable of delivering packages is disclosed. Methods for utilizing UAVs to deliver packages and systems for housing UAVs are also disclosed. In one aspect, a UAV includes a dual cavity envelope having an ellipsoid shape with a first internal cavity and a second internal cavity, the first internal cavity configured to hold a lighter than air gas, the second internal cavity configured to hold a heated gas, and a drone body attached to and located below the dual cavity vertical envelope.

A system and method for distributing control over a drone and an active-payload carried by the drone to loosely coupled drone controller and payload controller, are disclosed. The active-payload includes a self-embedded payload controller and at least one controllable thrust source or moving weight. The drone controller identifies a current active-payload type that is coupled to the drone for performing one or more tasks and selects a control-type, which defines degrees of freedom (DOFs) to be controlled by the drone controller and released DOFs to be controlled by the payload controller, accordingly. The drone and active-payload perform the one or more task, wherein the drone controller controls maneuver instructions in drone controller controlled DOFs and simultaneously and asynchronously the payload controller controls maneuver instructions in the released DOFs by exerting controllable force or torque in the released DOFs by the at least one thrust source and/or moving weight.