A system for anchoring unmanned aerial vehicles to surfaces includes a landing pad configured to be installed on an agricultural machine, with the landing pad defining a landing surface. Furthermore, the system includes an unmanned aerial vehicle (UAV) configured to land on the landing surface and a top surface of a field across which the agricultural machine is traveling. The UAV, in turn, includes an anchoring device configured to engage soil within the field to anchor the UAV to the field when the UAV has landed on the top surface of the field. Additionally, the anchoring device is further configured to engage the landing pad to anchor the UAV to the landing surface when the UAV has landed on the landing pad.

The embodiments disclose a method including using a monitor system for monitoring and detecting chemical compositions and biological pathogens, providing the monitor system configured to communicate with a cell phone, using at least one monitor/detector component, providing a plurality of biological sensors for detecting certain biological pathogens, and providing a plurality of chemical sensors for detecting certain chemical compositions.

A system for redistributing electrical load in an electric aircraft. The system includes a ring bus and a controller communicatively connected to the ring bus. The ring bus includes a plurality of bus sections including a first bus section and a second bus section. The controller is configured to receive a fault datum indicative of a fault associated with one of a first energy source and a second energy source, actuate, as a function of the fault datum, at least a switch to electrically connect the first bus section and the second bus section so as to form an electrical merger of the first bus section and the second bus section, and redistribute the electrical load to compensate for the fault associated with one of the first energy source and the second energy source. A method of redistributing electrical load in an electric aircraft is also provided.

A method of sterilizing a vehicle interior using a drone includes: receiving information on whether a passenger is boarding or the passenger has initiated a sterilization request; and when the passenger does not ride in a vehicle or the sterilization request is received from the passenger, performing, with a drone, a set of instructions to implement a sterilization logic. In particular, the sterilization logic includes determining an infected area using a sensor part, and allowing the drone to fly and performing intensive sterilization in the infected area.

A system and a method are provided for feasibility evaluation of UAV Digital Twin based on Vicon motion capture system is disclosed, which establishes a mission feasibility evaluation model according to flight history data of a target UAV acquired by the UAV Digital Twin system. The mission feasibility evaluation model includes a UAV trajectory prediction module and a mission feasibility determination module. The UAV trajectory prediction module acquires real-time position and attitude information of the target UAV according to the Vicon motion capture system, and predicts target flight trajectory of the target UAV according to the real-time position and attitude information. The mission feasibility determination module compares the position difference between an end point of the target flight trajectory and preset designated mission point to evaluate feasibility of target mission of the target UAV.

A post-disaster conditions monitoring system. The system may include plurality of aircraft drones configured to take photographic images; a conditions monitoring center having a controller including a device processor and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving images from the plurality of aircraft drones in a geographic region; determining conditions in the geographic region based on the images received from the plurality of aircraft drones; and sending information regarding the determined conditions to one or more users of the system.

An unmanned aerial vehicle may include a flight system, a wireless communication system, a processor, and a power system having a battery and a battery charging port. The power system may be operable to power the flight system, the wireless communication system, and the processor. The processor may be configured to operate the flight system to fly the unmanned aerial vehicle from a ground position to an in-air position while the battery charging port is attached to an air-to-ground tether, trigger a release of the air-to-ground tether from the battery charging port after determining the unmanned aerial vehicle has reached the in-air position and the battery is charged, and operate the flight system to execute a flight pattern while operating the wireless communication system to search for a wireless communication device.

A method and system for performing painting using an unmanned aerial vehicle is disclosed herein. The system comprises an unmanned aerial vehicle and a user computing device. The unmanned aerial vehicle comprises a plurality of nozzles, at least one camera, at least one sensor, at least one software module, a plurality of paint containers, lidar, and a plurality of blades.

Systems and methods are disclosed for tracking objects in a physical environment using visual sensors onboard an autonomous unmanned aerial vehicle (UAV). In certain embodiments, images of the physical environment captured by the onboard visual sensors are processed to extract semantic information about detected objects. Processing of the captured images may involve applying machine learning techniques such as a deep convolutional neural network to extract semantic cues regarding objects detected in the images. The object tracking can be utilized, for example, to facilitate autonomous navigation by the UAV or to generate and display augmentative information regarding tracked objects to users.

In a drone system in which a drone and a movable body operate in coordination with each other, the drone performing a predetermined operation in an agricultural field, the movable body being capable of moving with the drone aboard and allowing the drone to make a takeoff and a landing, the plan determining section determines a flight plan for the drone and a movement plan for the movable body in accordance with the flight plan, and the instructing section instructs the drone to execute an operation in accordance with the flight plan and instructs the movable body to move or to be on standby in accordance with the movement plan.