A drone is provided that includes a controller, a time measurer that measures a present time, a position measurer that obtains a current position of the drone, and a storage that stores a time period for which the flight of the drone is permitted. The controller performs operations including determining a possible flight area of the drone in accordance with a difference between an end of the time period for which flight of the drone is permitted and the present time, and determining whether the drone is located within the possible flight area on the basis of the current position of the drone.

An approach is provided for dynamic obstacle data in a collision probability map. The approach, for example, involves monitoring a flight of an aerial vehicle through a three-dimensional (3D) space that is partitioned into 3D shapes of varying resolutions. The approach also involves detecting an entry of the aerial vehicle into one 3D shape of the plurality of 3D shapes. The approach further involves, on detecting an exit of the aerial vehicle form the one 3D shape, recording a 3D shape identifier (ID) of the one 3D shape and at least one of a first timestamp indicating the entry, a second timestamp indicating the exit, a duration of stay in the one 3D shape, dimensions of the aerial vehicle, or a combination thereof as a dynamic obstacle observation record. The approach further involves transmitting the dynamic obstacle observation record to another device (e.g., a server for creating the collision probability map).

A method, apparatus and system are provided for operating one or more drones in a building. In the context of a method, information is determined that includes at least one of real time information or predictive information. The real time information is indicative of a position of at least one individual in the building, while the predictive information is indicative of a predicted location of the at least one individual in the building at a certain time. The method also includes controlling the one or more drones in the building according to the at least one of the real time information or the predictive information to avoid the at least one individual while the drone is performing a task.

The present disclosure relates to a moving body, a control method, and a program that enable realization of safer movement and stop. A safety degree estimation unit estimates a safety degree according to a lapse of time of its own machine in a moving state on the basis of external environmental information regarding an external environment, and a movement control unit controls movement of the own machine on the basis of the estimated safety degree. Technology according to the present disclosure can be applied to, for example, a moving body such as a drone.

Proposed is a technology capable of performing an action for examining a object difficult to be recognized, to thereby avoid the collision between the obstacle and the movable object. A movable object of the present technology includes a control unit. The control unit controls an action of a movable object on the basis of an estimation result of estimating whether or not an obstacle that prevents movement of the movable object exists on the basis of an image captured by an imaging unit.

Systems and methods for a weapon mountable tactical heads-up display (HUD) are provided. The HUD may include a 9 degrees of freedom (9DOF) sensor, a target library, and a target finder visualization. The target library may store respective ballistic information for each target of a plurality of targets. The respective ballistic information may include a target vector for each target of the plurality of targets. The target vector may be calculated based on data received from the 9DOF sensor. The target finder visualization may allow a shooter to locate a selected target of the plurality of targets. The target finder visualization may be based on the target vector.

An embodiment method for controlling operation of an aerial vehicle in an aerial vehicle control system includes approving entry of the aerial vehicle into an aerial vehicle operation zone from a take-off and landing facility of a departure location built into the aerial vehicle control system, controlling an operation of the aerial vehicle in the aerial vehicle operation zone, and approving exit of the aerial vehicle from the aerial vehicle operation zone into a take-off and landing facility of a destination location.

A route generation device includes: an acquisition portion configured to acquire object data; and a controller configured to set a travel route of a moving body. The controller is configured to define a virtual space corresponding to a predetermined real space including a moving range for the moving body, manage a plurality of regions that the virtual space is divided into, the plurality of divided regions each having a predetermined three-dimensional shape, place the object in the virtual space, set a region that overlaps the object among the plurality of divided regions as a no-go zone where the moving body is not allowed to pass, and set a region that does not overlap the object among the plurality of divided regions as an available zone where the moving body is allowed to move.

According to various aspects, a method of generating a collision free path of travel may include defining a global search area encompassing at least a global start position and a global target position; and determining a set of collision free trajectories by iteration, the set of collision free trajectories connecting the global start position to the global target position via one or more local target positions, each iteration including: determining a local search area within the global search area; determining, from the global obstacle map, a local obstacle map associated with the local search area; defining a local start position and one or more local target positions within the local search area; and calculating, in the local search area, a collision free trajectory from the local start position to the one or more local target positions considering the local obstacle map.

The present disclosure provides a flying body for detecting a living body. The flying body includes a sensor unit, that detects living body information related to the living body; a support component, that supports the sensor unit and is retractable; a gimbal, that rotatably supports the support component; a processing unit, that performs processing related to detection of the living body information; and a camera unit, that captures images. The processing unit makes the camera unit capture an image of an investigation area, controls the flight of the flying body such that the flying body approaches the investigation area, makes the support component extend to an investigation target located in the investigation area, and makes the sensor unit, which is supported by the gimbal supported by the extended support component, detect the living body information.