This application discloses a drone control method and device and a drone and pertains to the technical field of drone control. The method includes: monitoring a running status of each power motor in a drone; determining according to the running status of each power motor whether the drone is in a crashed state; and controlling the drone to alarm when determining that the drone is in the crashed state. The drone control method and device and the drone can rapidly locate a crashed drone, greatly increasing the probability of finding back the crashed drone.

A multiple hoist system is used with an unmanned aerial vehicle (UAV) for delivering parcels. An example of the multiple hoist system comprises two or more hoists that are independently operable, meaning that a first hoist can lower or raise a first line independently of using a second hoist to raise or lower a second line. The hoists can independently raise and lower their associated lines to allow the UAV to deliver multiple parcels to multiple delivery locations, or the hoists can synchronously raise and lower the associated lines together so that larger parcels can be delivered using the UAV. The hoists can be comprised within a body of the multiple hoist system. The body can further include a securing device for releasably securing the multiple hoist system to the UAV.

A data processing method based on an unmanned vehicle, the method including acquiring data generated in an unmanned vehicle operating environment of the unmanned vehicle and type information of the unmanned vehicle operating environment; acquiring a data transformation logic corresponding to the type information from a pre-stored adaption repository, which stores data transformation logics corresponding to different type information; and transforming a data structure of the data according to the data transformation logic corresponding to the type information to obtain data in compliance with a preset data structure. By transforming data generated in different unmanned vehicle operating environments into data in compliance with the preset data structure, the cloud server can be assisted in analyzing and consistently processing the data in compliance with the preset data structure after they have been transmitted to the cloud server, thus improving the data processing efficiency.

A station recognition and a landing method are disclosed. More specifically, an unmanned aerial robot includes a camera sensor configured to capture a first pattern that is marked on a station cover and is used for a station identification and a second pattern that is marked inside a station and is used for a precision landing; a transceiver configured to transmit and receive a radio signal; and a processor functionally connected to the camera sensor and the transceiver, wherein the processor is configured to determine a landing station for landing based on the first pattern captured by the camera sensor, control the transceiver to transmit a radio signal that indicates the landing station to open the station cover, and perform the precision landing at the landing station based on the second pattern of the landing station.

Disclosed herein is a system including a computer programmed to actuate a plurality of drones to first establish one or more electrical connections therebetween and then to provide a jump start to a vehicle.

Aerial vehicles including one-dimensional arrays of transmitters and receivers aligned perpendicular to one another are configured for safe operation. The transmitters may be configured to transmit signals at designated times in order to generate synthetic waves having common fronts from selected angles. The receivers are configured to capture data regarding reflections of the synthetic waves from objects, and to interpret the data to determine bearings or angles to such objects. Locations of the objects may be determined based on angles at which the synthetic waves are transmitted and bearings or angles to the objects that reflected the synthetic waves, as well as times at which reflections of the synthetic waves are received. Maps or other representations of objects on a scene may be generated based on such locations.

A mobile image pickup device includes an imaging unit (20), an acceleration and angular velocity detecting unit, a processing unit that processes acceleration and angular velocity information which is detected by the acceleration and angular velocity detecting unit, a reaction wheel that rotates based on a command value which is calculated by the processing unit, and a housing (10) that accommodates the imaging unit (20), the acceleration and angular velocity detecting unit, the processing unit, and the reaction wheel therein.

A multi-copter on which a camera with a distance to a focal plane where the camera is in focus fixed at d is mounted detects a position of an inspection overhead line when moving to an image capture start point above the inspection overhead line, and moves to a shooting end point immediately above the inspection overhead line while capturing images of the inspection overhead line at the lower side using the camera while keeping an altitude difference d with the inspection overhead line.

Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. Sensor data can be received from one or more portable countermeasure devices or sensors. The sensor data can relate to an object detected proximate to a particular airspace. The system can analyze the sensor data relating to the object to determine a location of the object and determine that the object is flying within the particular airspace based at least in part on location data. A portable countermeasure device can be identified that corresponds to the location of the object. The system can transmit information about the object to the identified portable countermeasure device. The portable countermeasure device can transmit additional data relating to the object to the system.

Disclosed are methods, systems, and non-transitory computer-readable medium for distributed vehicle processing. For instance, the method may include: in response to determining a first trigger condition of a first set of trigger conditions is satisfied, performing a first process corresponding to the first trigger condition on-board a vehicle; in response to determining a second trigger condition of a second set of trigger conditions is satisfied, prompting a second process corresponding to the second trigger condition by transmitting an edge request to an edge node and receiving an edge response from the edge node; and in response to determining a third trigger condition of a third set of trigger conditions is satisfied, prompting a third process corresponding to the third trigger condition by transmitting a cloud request to a cloud node and receiving a cloud response from the cloud node.