Unmanned aerial vehicle includes a microphone which picks up a sound emitted by a target, an actuator which extends to change a position of the microphone, and a processor. The processor obtains positional relationship information which indicates at least one of a position of the target or a distance from the unmanned aerial vehicle to the target, causes the unmanned aerial vehicle to move to a first position at which the unmanned aerial vehicle and the target have a predetermined positional relationship based on the positional relationship information, and causes actuator to extend toward the target after unmanned aerial vehicle moves to the first position.

A system including an image capture module and a handheld module. The image capture module includes a body; an image sensor; and a mechanical stabilization system comprising a first gimbal, a second gimbal, and a third gimbal connected to the body and configured to control an orientation of the image sensor of the image capture module relative to the body. The handheld module defines a slot that is keyed to the body of the image capture module. The image capture module, when located within the handheld module, has a low profile so that the third gimbal is protected from damage by the handheld module.

A system can plan a route for a machine, such as an electric vehicle or other mobile machine, from a current location of the machine to a maintenance station where a service operation is to be performed on the machine. The service operation can be associated with a target state of charge (SoC) for a battery of the machine. The system can plan the route such that an expected energy consumption level, associated with traversal of the route by the machine, causes the SoC of the battery to satisfy the target SoC when the machine arrives at the maintenance station. The system can also dynamically adjust the route, charges of the battery, and/or machine operations performed along the route, during travel to cause the SoC of the battery to satisfy the target SoC when the machine arrives at the maintenance station.

A system can plan a route for a machine, such as an electric vehicle or other mobile machine, from a current location of the machine to a maintenance station where a service operation is to be performed on the machine. The service operation can be associated with a target state of charge (SoC) for a battery of the machine. The system can plan the route such that an expected energy consumption level, associated with traversal of the route by the machine, causes the SoC of the battery to satisfy the target SoC when the machine arrives at the maintenance station. The system can also dynamically adjust the route, charges of the battery, and/or machine operations performed along the route, during travel to cause the SoC of the battery to satisfy the target SoC when the machine arrives at the maintenance station.

The embodiments relate to a traveling apparatus adapted to perform communication sequentially with a plurality of moving objects. The traveling apparatus includes: a moving object data acquisition unit configured to acquire moving object data including at least location information of a plurality of moving objects present within a predetermined distance range in the periphery of the traveling apparatus; a target determination unit configured to determine a target of communication from among the plurality of the moving objects; and an operation control unit configured to move, based on the moving object data, the traveling apparatus in a direction in which there is few moving objects while maintaining the state in which the traveling apparatus performs communication with the target of communication.

A projectile delivery module to be mounted on an aerial vehicle includes a projectile delivery system including a kinetic projectile and a base system. The kinetic projectile includes a projectile body, an RF receiver, and an onboard steering system including: a steering mechanism operable to change an attitude, orientation, and/or direction of flight of the kinetic projectile; and a steering actuator. The base system includes: an RF transmitter to communicate with the RF receiver; a projectile holder; a target tracking system; and a projectile guidance system including a projectile tracking system and a projectile control system. The base system is configured to: release the kinetic projectile from the projectile holder such that the kinetic projectile is driven toward a target by gravity; track the target using the target tracking system; track the released kinetic projectile using the projectile tracking system; and automatically control the onboard steering system using the projectile control system to adjust a trajectory of the falling kinetic projectile to steer the kinetic projectile to the target.

A monitoring method includes identifying a monitoring target and a warning object in space according to data collected by a data collection apparatus, obtaining position information of the monitoring target and the warning object, determining a warning area based on the position information of the monitoring target, and generating warning information based on a position relationship between a position of the warning object and the warning area.

A monitoring method includes identifying a monitoring target and a warning object in space according to data collected by a data collection apparatus, obtaining position information of the monitoring target and the warning object, determining a warning area based on the position information of the monitoring target, and generating warning information based on a position relationship between a position of the warning object and the warning area.

An intelligent decision-making method and system for an unmanned surface vehicle are provided. The system comprises: an image acquisition module, configured to acquire an image sequence signal of an observation region; a target detection and recognition module, configured to receive the image sequence signal, recognize a preset interested target appeared in a scenario, determine and identify an image region occupied by the preset interested target; distinguish a type of the interested target, screen out the target that causes a threat to an unmanned platform itself according to the type of the target, continuously observe the target, and generate tracking trajectory information of the target; a target situation distinguishing module, configured to calculate a target threat factor; and a target threat evaluation and decision module, configured to evaluate a threat type, give a threat level, and lock the interested target with a high threat level for tracking in real time.

An unmanned aerial vehicle is described and includes a computer carried by the unmanned aerial vehicle to control flight of the unmanned aerial vehicle and at least one sensor. The unmanned aerial vehicle is caused to fly to a specific location within a facility, where the unmanned aerial vehicle enters a hover mode, where the unmanned aerial vehicle remains in a substantially fixed location hovering over the specific location within the facility and sends raw or processing results of sensor data from the sensor to a remote server system.