The embodiments of the present disclosure involve the technical field of unmanned aerial vehicles, and disclose an unmanned aerial vehicle base station and an unmanned aerial vehicle system. The unmanned aerial vehicle base station includes a bracket, a tarmac, a charging component, and a temperature adjusting component. The bracket is provided with an accommodating cavity, the tarmac separates the accommodating cavity into an upper compartment chamber and a lower compartment chamber, the temperature adjusting component includes a semiconductor module, a first ventilation assembly, a second ventilation assembly, and a third ventilation assembly, and the semiconductor module is partially provided on the first ventilation assembly and partially provided on the second ventilation assembly.

In one embodiment, a controller instructs an unmanned aerial vehicle (UAV) docked to a landing perch to perform a pre-flight test operation of a pre-flight test routine. The controller receives sensor data associated with the pre-flight test operation from one or more force sensors of the landing perch, in response to the UAV performing the pre-flight test operation. The controller determines whether the sensor data associated with the pre-flight test operation is within an acceptable range. The controller causes the UAV to launch from the landing perch based in part on a determination that UAV has passed the pre-flight test routine.

Intermodal vehicles may be loaded with items and an aerial vehicle, and directed to travel to areas where demand for the items is known or anticipated. The intermodal vehicles may be coupled to locomotives, container ships, road tractors or other vehicles, and equipped with systems for loading one or more items onto the aerial vehicle, and for launching or retrieving the aerial vehicle while the intermodal vehicles are in motion. The areas where the demand is known or anticipated may be identified on any basis, including but not limited to past histories of purchases or deliveries to such areas, or events that are scheduled to occur in such areas. Additionally, intermodal vehicles may be loaded with replacement parts and/or inspection equipment, and configured to conduct repairs, servicing operations or inspections on aerial vehicles within the intermodal vehicles, while the intermodal vehicles are in motion.

A vehicle is configured to couple with an unmanned aerial vehicle (UAV) and includes a landing connection component configured to form a connection between the UAV and the vehicle and to prevent detachment of the UAV from the vehicle, a cover configured to at least partially enclose the UAV when the UAV is connected to the landing connection component, and one or more processors configured to generate one or more commands to (1) vary a position of the cover depending on a status of the UAV and (2) control an operation of the UAV.

Systems and methods are provided for docking an unmanned aerial vehicle (UAV) with a vehicle. The UAV may be able to distinguish a companion vehicle from other vehicles in the area and vice versa. The UAV may take off and/or land on the vehicle. The UAV may be used to capture images and stream the images live to a display within the vehicle. The vehicle may control the UAV. The UAV may be in communication with the companion vehicle while in flight.

A method includes obtaining, by a vehicle, data from a movable object, generating information for display at the vehicle based at least in part on the data, and causing movement of the vehicle based at least in part on the displayed information. The data is collected by one or more sensors of the movable object. The vehicle is configured to provide one or more services to the movable object.

Systems and methods are provided for autonomous robotic surgery which is preferably integrated with autonomous-assisted intraoperative real-time single modality and/or multi-modality fusion imaging/electrophysiological diagnostics. The robotic surgery systems and methods can be integrated with autonomous-assisted intraoperative body/limb positioning, and integrated with autonomous-assisted land and unmanned aerial vehicular patient transportation.

In one embodiment, a controller instructs an unmanned aerial vehicle (UAV) docked to a landing perch to perform a pre-flight test operation of a pre-flight test routine. The controller receives sensor data associated with the pre-flight test operation from one or more force sensors of the landing perch, in response to the UAV performing the pre-flight test operation. The controller determines whether the sensor data associated with the pre-flight test operation is within an acceptable range. The controller causes the UAV to launch from the landing perch based in part on a determination that UAV has passed the pre-flight test routine.

Remotely operated and autonomous vehicles can be coupled with a base station to perform at least one of refueling, loading cargo, and unloading cargo; without human intervention. By reducing the need for such intervention, the subject vehicles can be employed more economically and with reduced infrastructure.

The present invention refers to a cleaning drone (1), a corresponding docking station (2) configured to operate with the cleaning drone (1), a system comprising at least one cleaning drone (1) and at least one docking station (2) and a cleaning method using at least one cleaning drone (1). The cleaning drone (1) comprises a cleaning device (1.11) configured to operate on surfaces such as glass or photovoltaic panels.