Unmanned device interaction methods and systems

Structures and protocols are presented for configuring an unmanned aerial device to participate in the performance of tasks, for using data resulting from such a configuration or performance, or for facilitating other interactions with such devices.

Aerial Vehicle Interception System

The subject disclosure relates an aerial system to track a detected obstacle. The aerial system may comprise a plurality of aircraft, an aircraft storage system to house the plurality of aircraft, an aircraft controller in communication with each of a tracking system and the plurality of aircraft. In operation, one or more of the plurality of aircraft may engage the detected threat. At least one of the plurality of aircraft may include a target neutralization device to strike the detected threat.

Methods and apparatus for unmanned aerial vehicle landing and launch

An unmanned aerial vehicle (UAV), a stand for launching, landing, testing, refueling and recharging a UAV, and methods for testing, landing and launching the UAV are disclosed. Further, embodiments may include transferring a payload onto or off of the UAV, and loading flight planning and diagnostic maintenance information to the UAV.

Systems and methods for updating non-networked autonomous devices

Various arrangements for servicing autonomous devices via satellite-based communication links are detailed herein. A satellite transponder stream of data may be monitored via a tuner for an identifier indicative of an autonomous device. An update linked with the identifier may be acquired from the satellite-transmitted transponder stream of data. The acquired update may be stored at least until the autonomous device communicatively pairs with the network-independent maintenance device. The autonomous device may be communicatively paired with the system or device that received the satellite-broadcast update. In response to having acquired the update linked with the identifier from the transponder stream of data and the autonomous device being communicatively paired with the system or device, the acquired update may be transmitted to the autonomous device.

Stackable housing containers and related systems

Methods, apparatus, systems, and articles of manufacture are disclosed to house a vehicle, including a first container leg disposed on a first corner of a first container, a second container leg disposed on a second corner of the first container, a third container leg disposed on a third corner of the first container, a fourth container leg disposed on a fourth corner of the first container, at least one of the first, second, third, and fourth container legs each having an upper portion with a ramped receiving slot and a lower portion with a first ramped foot, and wherein the ramped receiving slot is to receive a protrusion associated with a second ramped foot of a second container different from the first container.

Methods and systems of anchoring an unmanned aerial vehicle on a ground station

An unmanned aerial vehicle (UAV) ground station, comprising: a landing surface having a perimeter and a center; a plurality of pushers held above the landing surface by a plurality of linear actuators; at least one electro-mechanical connector attached to one of the plurality of pushers, mechanically adapted to be electrically connected to a compatible electro-mechanical connector of a UAV; and a landing detection controller adapted to instruct the plurality of linear actuators to move the plurality of pushers simultaneously from the perimeter toward the center when a landing event related to the UAV is detected.

Drone device

A fact checking system utilizes social networking information and analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The social networking fact checking system automatically monitors information, processes the information, fact checks the information and/or provides a status of the information, including automatically modifying a web page to include the fact check results. The fact checking system is able to be implemented utilizing a drone device.

Vehicle moonroof systems for docking and cooling unmanned aerial vehicles

This disclosure details exemplary moonroof systems for vehicles. An exemplary moonroof system may include a pod assembly that may be received within an opening of a headliner. The pod assembly may be utilized to dock, deploy, and land an unmanned aerial vehicle relative to the moonroof system. The pod assembly may include a charging and cooling system for charging and cooling the unmanned aerial vehicle when it is docked within the pod assembly.

Complex system and program

A complex system includes an unmanned flying object, a vehicle in which the unmanned flying object is mountable and including a power supply device, a travel controller configured to transmit a travel instruction signal including a command to travel in a state where the unmanned flying object is mounted in the vehicle to the vehicle when flying of the unmanned flying object is disabled and traveling of the vehicle is enabled, and a flying controller configured to transmit a flying instruction signal including a command to fly away from the vehicle to the unmanned flying object when flying of the unmanned flying object is enabled and traveling of the vehicle is disabled. The vehicle travels in a state where the unmanned flying object is mounted in the vehicle based on the travel instruction signal, and the unmanned flying object flies away from the vehicle based on the flying instruction signal.

Robotic platform and method for performing multiple functions in agricultural systems

An autonomous vehicle platform and system for selectively performing an in-season management task in an agricultural field while self-navigating between rows of planted crops, the autonomous vehicle platform having a vehicle base with a width so dimensioned as to be insertable through the space between two rows of planted crops, the vehicle base having an in-season task management structure configured to perform various tasks, including selectively applying fertilizer, mapping growth zones and seeding cover crop within an agricultural field.

Drone escort system

The present disclosure describes systems and methods for escorting small unmanned aircraft (herein drones). An escorting drone approaches the escorted drone and transmits to it an escort signal. In an embodiment, the escort signal is a GNSS signal fashioned to be the same as the GNSS signal that would be received by the escorted drone, other than being slightly stronger in signal strength and having slightly altered component delays. In another embodiment, the escort signal is a radio frequency control channel signal. Escorting may be utilized to guide a drone from a preprogrammed point to a docking zone in a droneport; to guide a drone though an urban canyon or inside a building where GNSS signals are not reliably received; to retrieve a drone with which communications has been lost; or to escort a drone to safety out of a no-flight zone such as around an airport.

Charging system, power supply device and aircraft

A charging system includes a power supply device and a charging device. The power supply device includes a power supply and at least two exposed power supply panels connected to the power supply. The at least two power supply panels are electrically insulated from each other and include at least one anode power supply panel connected to an anode of the power supply and at least one cathode power supply panel connected to a cathode of the power supply. The at least one anode power supply panel and the at least one cathode power supply panel are alternately arranged. The charging device includes a charging circuit and at least two charging contacts each being connected to a charging anode and a charging cathode of the charging circuit respectively through a diode. The charging device is configured to contact the power supply panels through the charging contacts.

Robotic platform and method for performing multiple functions in agricultural systems

An autonomous vehicle platform and system for selectively performing an in-season management task in an agricultural field while self-navigating between rows of planted crops, the autonomous vehicle platform having a vehicle base with a width so dimensioned as to be insertable through the space between two rows of planted crops, the vehicle base having an in-season task management structure configured to perform various tasks, including selectively applying fertilizer, mapping growth zones and seeding cover crop within an agricultural field.

Short take off and landing aerial vehicle

An aircraft includes a fuselage having an outer surface profile selected to conform to an airfoil profile and at least one engine located within the fuselage. The aircraft further includes a plurality of air intakes distributed over a top surface of the outer surface and at least one duct extending through the fuselage wherein the at least one duct is in fluidic communication with the plurality of air intakes and the at least one engine.

Traffic control system, controller and method for directing vehicle behavior at a defined spatial location

A traffic control system, a controller and an associated method are provided to direct a vehicle to slow or, in some instances, stop at a defined spatial location along the roadway. In the context of a controller, the controller includes at least one processor and memory including computer program code with the memory and the computer program code configured to, with the at least one processor, cause the controller to receive information indicative of at least one characteristic of the behavior of the vehicle as the vehicle approaches a defined location. Based on the information, the controller is caused to compare the behavior of the vehicle to a defined criterion and, in response, to cause an unmanned air vehicle (UAV) to maintain a hovering position in which the UAV hovers above the roadway so as to be within the path of travel of the vehicle on the roadway.

Apparatus for providing maintenance and shelter to drone

An apparatus for providing maintenance and shelter to at least one drone. The apparatus includes at least one maintenance unit operable to provide maintenance to a drone that has arrived for maintenance thereat; a base structure for providing support to the at least one maintenance unit; at least one landing structure suitable for the drone to land thereat, each landing structure including a first actuator that is operable to move the landing structure in relation to the base structure, so as to align the drone landed on the landing structure with respect to the at least one maintenance unit; and means for supporting the base structure on ground, the means for supporting the base structure operable to alter position of the base structure to provide shelter to the landing structure.

Drone device security system

A fact checking system utilizes social networking information and analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The social networking fact checking system automatically monitors information, processes the information, fact checks the information and/or provides a status of the information, including automatically modifying a web page to include the fact check results. The fact checking system is able to be implemented utilizing a drone device.

Drone Piggybacking on Vehicles

A system for providing drone piggybacking on vehicles is disclosed. In particular, the system may enable drones or other unmanned mobile connected devices to piggyback onto various types of hosts, such as vehicles, in a symbiotic fashion. Through the symbiotic relationship created between the drones and hosts, the drones may utilize the hosts as a means for transport, such as while delivering a good to an intended destination, and the hosts may receive certain incentives in exchange for transporting the drones. Drones may be paired with hosts based on any number of factors, such as whether the host is traveling on a route that corresponds with reaching the intended destination, whether the host is capable of recharging the drone, and whether the drone has sufficient power to reach the intended destination. By enabling drones to piggyback with hosts, the required traveling range for a drone may be reduced.

Unmanned aerial vehicle management

A base module may be used to receive and house one or more unmanned aerial vehicles (UAVs) via one or more cavities. The base module receives commands from a manager device and identifies a flight plan that allows a UAV to execute the received commands. The base module transfers the flight plan to the UAV and frees the UAV. Once the UAV returns, the base module once again receives it. The base module then receives sensor data from the UAV from one or more sensors onboard the UAV, and optionally receives additional information describing its flight and identifying success or failure of the flight plan. The base module transmits the sensor data and optionally the additional information to a storage medium locally or remotely accessible by the manager device.

Unmanned aerial vehicle battery replacement arm

The present disclosure is directed toward systems and methods for removing and replacing a battery from within an unmanned aerial vehicle (UAV). In particular, systems and methods described herein enable a battery arm within a UAV ground station (UAVGS) to engage the UAV and a battery assembly within the UAV to unlock the battery assembly and remove the battery assembly from within the UAV. For example, the battery arm can include a latch engagement assembly that engages one or more latches on the UAV to unlock the battery assembly. Additionally, the battery arm can include a battery gripping assembly that grips an outer end of the battery assembly while retracting and removing the battery assembly from within the UAV.

Aerial vehicle

An aerial vehicle is provided which includes first thrusters with first propellers and second thrusters with second propellers. Each of the first propellers has a first rotating region in which blades thereof rotate. Similarly, each of the second propellers has a second rotating region in which blades thereof rotate. Each of the first rotating regions is located to overlap one of the second rotating regions, as viewed in a direction of a yaw axis of the aerial vehicle. The first rotating regions are located away from the second rotating regions in the direction of the yaw axis. Such layout of the first and second propellers eliminates physical interference therebetween. The overlap between the first and second propellers results in a decreased cross-sectional area of projection of the aerial vehicle from the front view in a flight direction thereof.

Uav facility

Disclosed are transportable unmanned aerial vehicle (UAV) facilities. The facilities comprise a housing having an ingress port arranged to receive a payload for delivery by a UAV. The UAV facility is arranged to determine whether the payload corresponds to a delivery consignment based upon a comparison of one or more determined physical characteristics of the payload with one or more expected characteristics of the delivery consignment.

Aerial farm robot system for crop dusting, planting, fertilizing and other field jobs

Modern farming is currently being done by powerful ground equipment or aircraft that weigh several tons and treat uniformly tens of hectares per hour. Automated farming can use small, agile, lightweight, energy-efficient automated robotic equipment that flies to do the same job, even able to farm on a plant-by-plant basis, allowing for new ways of farming. Automated farming uses unmanned aerial vehicles (UAVs) that are equipped with detachable implements and reservoirs and that we call “aerial farm robots.” Automated farming uses high-precision GPS and other precision positioning and vision technology to autonomously and precisely perform crop dusting, planting, fertilizing and other field related farming or husbandry tasks. The subsystems for the control, refill, recharge and communication subsystems of the aerial farm robots are part of the overall automated farming system, and can autonomously handle most of the husbandry tasks on a farm.

Landing and Payload Loading Structures

An example UAV landing structure includes a landing platform for a UAV, a cavity within the landing platform, and a track that runs along the landing platform and at least a part of the cavity. The UAV may include a winch system that includes a tether that may be coupled to a payload. Furthermore, the cavity may be aligned over a predetermined target location. The cavity may be sized to allow the winch system to pass a tethered payload through the cavity. The track may guide the UAV to a docked position over the cavity as the UAV moves along the landing platform. When the UAV is in the docked position, a payload may be loaded to or unloaded from the UAV through the cavity.

Scanning structures via unmanned aerial vehicles

In some examples, an unmanned aerial vehicle (UAV) may determine, based on a three-dimensional (3D) model including a plurality of points corresponding to a scan target, a scan plan for scanning at least a portion of the scan target. For instance, the scan plan may include a plurality of poses for the UAV to assume to capture images of the scan target. The UAV may capture with one or more image sensors, one or more images of the scan target from one or more poses of the plurality of poses. Further, the UAV may determine an update to the 3D model based at least in part on the one or more images. Additionally, the UAV may update the scan plan based at least in part on the update to the 3D model.

System and method for coordinating unmanned aerial vehicles for delivery of one or more packages

System and methods for managing one or more unmanned aerial vehicles. The system can include an unmanned aerial vehicle, a landing station for the unmanned aerial vehicle, and a loading station for receiving a package and unmanned aerial vehicle. The unmanned aerial vehicle can be configured to: (i) determine a first confidence level for landing on the landing station, (ii) travel, based on the first confidence level, to the landing station, and (iii) determine a second confidence level for delivering the package to a delivery destination. The loading station can be configured to: (i) receive the second confidence level to deliver the package to the delivery destination from the unmanned aerial vehicle, and (ii) confirm, based on the second confidence level, the unmanned aerial vehicle is capable of delivering the package to the delivery destination.

Drone implemented border patrol

The drone implemented border patrol solution is projected to be more effective at preventing successful border penetrations over very long distances than any attempted solution. It requires functionally zero infrastructure investment. It can be deployed in six months or less and it costs less than $100,000 a mile to implement (vs. 15 million a mile for a physical wall, or 4 million a mile for a virtual fence (a 97% price reduction)).

Systems and Methods for Restricting Drone Airspace Access

Methods, systems, and devices are disclosed for providing conditional access for a drone for accessing a restricted area. Conditional access information associated with conditional access restrictions for the restricted area may be received by the drone. The drone may compare the received conditional access information to one or more access parameters for the drone. The drone may access the restricted area based on the comparison of the received conditional access information and the access parameter. A drone may take corrective action when the received conditional access information does not permit access to the restricted area based on the access parameter for the drone.

Drone box

The application provides a storage unit for an Unmanned Aerial Vehicle (UAV). The storage unit includes a container, a UAV landing platform, and a receptacle. The container is provided for enclosing the UAV. The receptacle is positioned above the UAV landing platform and it includes at least one inclined surface for guiding a landing UAV to a predetermined UAV landing position on the UAV landing platform.

Landing of unmanned aerial vehicles on transportation vehicles for transport

Unmanned aerial vehicles (“UAVs”) which fly to destinations (e.g., for delivering items) may land on transportation vehicles (e.g., delivery trucks, etc.) for temporary transport. An agreement with the owner of the transportation vehicles (e.g., a shipping carrier) may be made for obtaining consent and determining compensation for landings, and the associated transportation vehicles that are available for landings may be identified by markers on the roof or other identification techniques. The routes of the transportation vehicles may be known and utilized to determine locations where UAVs will land on and take off from the transportation vehicles, and in cases of emergencies (e.g., due to low batteries, mechanical issues, etc.) the UAVs may land on the transportation vehicles for later retrieval.

Systems and methods for unmanned aerial vehicle landing

Provided herein are systems and method for autonomously or semi-autonomously landing an unmanned aerial vehicle (UAV) on a landing pad. The landing pad can include features configured to correct misalignment of the UAV on the landing pad. The landing pad can additionally include one or more markers than can be identified by the UAV to aid the UAV in locating the landing pad and determining the location of the UAV relative to the landing pad.

Surveying system

A surveying system having a total station integrated into an unmanned aerial vehicle communicates with a plurality of mobile communication stations that are located on known site coordinates. By locating the mobile communication stations on known coordinates, the location of the aerial vehicle is precisely triangulated and controlled. Construction drawings are loaded into the system, thereby allowing the vehicle to locate itself at specific points designated in the drawings for the marking of on-site construction grid lines.

Systems and methods employing coded light to dock aerial drones, self-driving cars and surface robots

Precision docking is one of the most important tasks for drones and surface robots to charge themselves and load/unload packages. Without accurate docking, surface robots and drones will miss their charging pad or charging contacts and cannot automatically charge themselves for later tasks. Described is a system using coded light to guide the precision docking process for drones and ground robots. More specifically, the system uses projectors to project temporal identifiers for space partitioned by pixel projections. Different space partition gets a different identifier. By using a simple light sensor on a drone or a ground robot, the drone or the ground robot can know its precise location in the space and therefore knows where to move for a precise docking. Depending on docking precision requirement, the coded light precision may be adjusted by using projectors with different resolutions.

Programming language for execution by drone

One embodiment provides a method comprising maintaining a weather model based on predicted weather conditions for an air traffic control zone. A hash table comprising multiple hash entries is maintained. Each hash entry comprises a timestamped predicted weather condition for a cell in the zone. A flight plan request for a drone is received. The request comprises a planned flight path for the drone. For at least one cell on the planned flight path, same latitude or same longitude cells, whichever is most closely orthogonal to a direction of the planned flight path, are heuristically probed. Weather conditions for the at least one cell are estimated based on predicted weather conditions for the same latitude or same longitude cells. An executable flight plan is generated if the planned flight path is feasible based on the estimated weather conditions; otherwise, a report including an explanation of infeasibility is generated instead.

Transport system using unmanned aerial vehicle

A transport system using an unmanned aerial vehicle that overcomes restrictions on distance, time, and the like, thereby expanding a deliverable range for improved convenience. A transport system using an unmanned aerial vehicle that is capable of performing three-dimensional movement using electric power supplied thereto. The unmanned aerial vehicle is mounted with a container for storing a cargo to be transported and is flown by means of relay stations that cover the shipment source with the shipment destination of the cargo. The container is provided with a power storage unit for storing electric power to be supplied to the unmanned aerial vehicle, and the power storage unit of the container is charged at the relay station when the container is not being moved.

Method and apparatus for economical refueling of drones

A drone control method is provided. The method may be responsive to drone recharge energy cost being greater than a predefined threshold and include commanding a processor of the drone to execute actions that preclude the drone from recharging. The method may also be responsive to drone charge level falling below a charge threshold selected only while the drone recharge energy cost exceeds the predefined threshold and include commanding the processor to execute actions to recharge the drone.

Battery exchange and charging system for drones

To replace a depleted battery in a drone with a fresh battery, the drone first lands on the exchange and charging system, aligned between two battery holders. A freshly charged battery, in a docking bay in one battery holder, is then moved against the drone's depleted battery. The depleted battery, in turn, is moved out of the drone into the other battery holder, and the fresh battery takes its place. While in the battery holders, the batteries are charged. After a battery exchange, the battery holders track round so that another battery and vacant docking bay are brought into place for a subsequent exchange.

Package acceptance, guidance, and refuel system for drone technology

Some embodiments described herein relate to a drone landing platform. One or more sensors coupled to the drone landing platform can detect local conditions in the vicinity of the drone landing platform. A communications system can be operable to transmit information related local conditions to a drone.

Semi-Autonomous Monitoring System

A monitoring system may include a semi-autonomous mobile monitoring device capable of determining whether it has a sufficient power level to perform a monitoring task based on the distance between the position of the mobile monitoring device and a task area corresponding to the monitoring task. Upon determining a sufficient power level to perform the monitoring task, the mobile monitoring device may calculate a path to a task area corresponding to the monitoring task based on map information stored in a memory of the mobile monitoring device. The mobile monitoring system may automatically avoid known obstacles in the monitoring area between the position of the mobile monitoring device and the task area without using a remote control.

Unmanned aerial vehicle management

A base module may be used to receive and house one or more unmanned aerial vehicles (UAVs) via one or more cavities. The base module receives commands from a manager device and identifies a flight plan that allows a UAV to execute the received commands. The base module transfers the flight plan to the UAV and frees the UAV. Once the UAV returns, the base module once again receives it. The base module then receives sensor data from the UAV from one or more sensors onboard the UAV, and optionally receives additional information describing its flight and identifying success or failure of the flight plan. The base module transmits the sensor data and optionally the additional information to a storage medium locally or remotely accessible by the manager device.

Drone device security system

A fact checking system utilizes social networking information and analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The social networking fact checking system automatically monitors information, processes the information, fact checks the information and/or provides a status of the information, including automatically modifying a web page to include the fact check results. The fact checking system is able to be implemented utilizing a drone device.

Autonomous mobile device security system

A fact checking system utilizes social networking information and analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The social networking fact checking system automatically monitors information, processes the information, fact checks the information and/or provides a status of the information, including automatically modifying a web page to include the fact check results. The fact checking system is able to be implemented utilizing a drone device.

Temperature control equipment

A temperature control equipment, adapted to control the temperature of a docking station for a UAV, wherein a cover of the docking station includes a first and a second vents. The temperature control equipment includes a first and a second temperature control devices. The first temperature control device includes a first and a second airflow openings, and the second temperature control device includes a third and a fourth airflow openings. The first, second, third, and fourth airflow openings, and the first and second vents form a first airflow path; or the first and second airflow openings, the first vent, and a third vent of the cover form a second airflow path; or the first, second, third, and fourth airflow openings, the first, second, and third vents, a fourth vent of the cover form a third airflow path. A heater is located on the first, second or third airflow path.

Systems, devices, and methods for agricultural sample collection

The present subject matter relates to systems, devices, and methods for agricultural sample collection. In one aspect, a sample collection system includes an aerial robotic platform, an arm assembly coupled to the aerial robotic platform and comprising an arm that extends away from the aerial robotic platform, and a sample collector connected to a distal end of the arm, wherein the sample collector is configured to selectively remove one or more samples of agricultural material from a plant to be analyzed.

Dynamic selection of unmanned aerial vehicles

A device receives a request for a flight path from a first location to a second location in a region, and calculates the flight path based on the request and based on one or more of weather information, air traffic information, obstacle information, regulatory information, or historical information associated with the region. The device determines required capabilities for the flight path based on the request, and selects, from multiple UAVs, a particular UAV based on the required capabilities for the flight path and based on a ranking of the multiple UAVs. The device generates flight path instructions for the flight path, and provides the flight path instructions to the particular UAV to permit the particular UAV to travel from the first location to the second location via the flight path.

Methods and apparatus for unmanned aerial vehicle landing and launch

An unmanned aerial vehicle (UAV), a stand for launching, landing, testing, refueling and recharging a UAV, and methods for testing, landing and launching the UAV are disclosed. Further, embodiments may include transferring a payload onto or off of the UAV, and loading flight planning and diagnostic maintenance information to the UAV.

Systems and methods for charging unmanned aerial vehicles on a moving platform

Disclosed herein are system and method for automatically recharging a unmanned aerial vehicle (UAV) on a moving platform, comprising: a software module identifying the moving platform; a software module estimating a real-time state of the moving platform; a software module controlling automatic landing of the UAV on the moving platform based on the real-time state estimation of the moving platform and data collected from the one or more sensors; a software module controlling automatic connection of the UAV to a charging station of the moving platform with a pre-determined orientation; and a software module controlling automatic taking off of the UAV from the moving platform after charging.

Individualized and customized plant management using autonomous swarming drones and artificial intelligence

The present disclosure generally relates to a system and method for providing individualized management for a plurality of plants. An exemplary system comprises a plurality of drones including a first drone, a docking station, and a server. The first drone is in assigned to a first plant of the plurality of plants and is configured to accommodate a plurality of combinations of drone attachments. The docking station comprises a plurality of drone attachments. The server includes a database related to the plurality of plants. The database includes location information associated with the first plant. The first drone is further configured to: make a plurality of visits to the first plant, gather plant-specific information associated with the first plant, obtain a prescription based on the plant-specific information, wherein the prescription is associated with one or more requirements, based on the prescription, provide care to the first plant.

Unmanned aerial vehicle calibration device

Herein is disclosed an unmanned aerial vehicle sensor calibration device comprising a sensor shield, comprising an inner portion and an outer portion, and configured to shield a sensor of the unmanned aerial vehicle and to dampen transmission of a sensor input from the outer portion to the inner portion; and a sensor reference, configured to generate a reference value of the sensor input for sensor calibration within the inner portion of the sensor shield.

Unmanned aerial vehicle housing

A modular housing structure for housing a plurality of unmanned aerial vehicles (UAVs) includes a plurality of housing segments and a plurality of landing pads. The plurality of housing segments are shaped to mechanically join together to define an interior of the modular housing structure. The individual housing segments have a common structural shape that repeats when assembled to form the modular housing structure. The plurality of landing pads are positioned within the individual housing segments, each of the landing pads sized to physically support and charge a corresponding one of the UAVs.

航空器拦截系统

本公开涉及一种用来防御检测到的威胁的防空系统。防空系统可包括多个防御性飞行器、用来容纳多个防御性飞行器的飞行器存储系统、与瞄准系统和多个防御性飞行器中的每个进行通信的飞行器控制器，以及用来提供操作员交互的人机界面(HMI)设备。在操作中，多个防御性飞行器中的一个或多个可接合检测到的威胁。多个防御性飞行器中的至少一个可包括目标失效设备以攻击或以其它方式接合检测到的威胁。

Portable unmanned aerial vehicle nacelle

一种无人机吊舱，包括吊舱外壳、门、马达和计算机。所述吊舱外壳包括底座、顶部和壁。所述顶部具有大小适于接收无人机的开口。所述壁连接所述底座和所述顶部。所述门设置在所述开口中。所述马达驱动地连接到所述门。所述计算机被编程为响应于所述无人机的操作而致动所述马达以打开和关闭所述门。

UAV (unmanned aerial vehicle), wall cleaning method thereof and wall cleaning system adopting UAV

本发明公开一种UAV及其清洁墙体的方法、采用该UAV的墙体清洁系统，该UAV清洁墙体的方法包括如下步骤：步骤a，获取待清洁路径；步骤b，根据所述待清洁路径，飞行至待清洁区域；步骤c，识别所述待清洁区域的墙面；步骤d，采用UAV承载的清洁装置对所述墙面进行清洁。上述UAV清洁墙体的方法可以大大降低了建筑物的墙体清洁的危险性，并且无需吸附在建筑物的墙面上，其移动较为方便，可以适用于不同类型的墙体。

Inspection of autonomous vehicles using unmanned aerial vehicles

本发明扩展到用于使用无人航空载具(UAV)来检查自主车辆的方法、系统和计算机程序产品。自主车辆在受保护区域中，例如在杂物箱、行李厢等中携带UAV(或“无人机”)。在乘行之间，可以部署所述UAV以检查所述自主车辆。来自所述UAV的图像可以发送到其他部件以供图像分析。当完成检查时，所述UAV可以返回到所述受保护区域。所述UAV可以检查自主车辆的内部和外部两者。当通过检查时，所述自主车辆可以开始新的乘行。当未通过检查时，所述自主车辆可以报修或召唤牵引车辆。

Unmanned plane is to Vehicular charging

一种车辆充电系统包括车辆计算机，所述车辆计算机被编程来致动车辆充电器以从空中无人机接收电。响应于确定所述空中无人机已经降落在所述车辆上，执行所述车辆充电器的致动。

AIR TRANSPORT SYSTEM

РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) (13) 2018 126 360 A (51) МПК B64C 17/00 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ (12) ЗАЯВКА НА ИЗОБРЕТЕНИЕ (21)(22) Заявка: 2018126360, 17.07.2018 (71) Заявитель(и): АУРОРА ФЛАЙТ САЙЕНСИЗ КОРПОРЕЙШН (US) Приоритет(ы): (30) Конвенционный приоритет: 25.08.2017 US 62/550,341; 02.07.2018 US 16/025,713 Адрес для переписки: 190000, г. Санкт-Петербург, БОКС-1125 Стр.: 1 A 2 0 1 8 1 2 6 3 6 0 R U A (57) Формула изобретения 1. Система 100 противовоздушной обороны для защиты от обнаруженной цели, представляющей угрозу, содержащая множество оборонительных летательных аппаратов 102; систему 106b хранения летательных аппаратов 102 для размещения в ней указанного множества оборонительных летательных аппаратов 102; контроллер летательного аппарата 102, связанный и с системой целеуказания, и с указанным множеством оборонительных летательных аппаратов 102; и устройство 114 человеко-машинного интерфейса для обеспечения взаимодействия оператора с контроллером летательного аппарата 102 или системой целеуказания. 2. Система 100 противовоздушной обороны по п. 1, в которой каждый аппарат из указанного множества оборонительных летательных аппаратов 102 является БПЛА 102, 610c 102, 610c с вертикальным взлетом и посадкой и несколькими несущими винтами. 3. Система 100 противовоздушной обороны по п. 2, в которой по меньшей мере один из БПЛА с вертикальным взлетом и посадкой содержит устройство нейтрализации цели для нанесения удара по обнаруженной цели, представляющей угрозу. 4. Система 100 противовоздушной обороны по п. 1, в которой система целеуказания является системой 110 командования и управления противодействием ракетам, артиллерии и минометам. 5. Система 100 противовоздушной обороны по п. 1, в которой контроллер летательного аппарата 102 выполнен с возможностью передачи команды от системы целеуказания по меньшей мере одному из указанного множества оборонительных летательных аппаратов 102. 6. Система 100 противовоздушной обороны ...

For unmanned vehicle with the intelligent docking system deposited automatically

本发明总体上涉及一种用于固定翼无人驾驶飞行器的停靠系统(1)或诸如旋翼航空器的非固定翼无人驾驶飞行器(2)或其组合的系统和方法，至少包括能够以阵列或交错方式布置的停靠和/或启动垫；所述垫具有用于所述飞行器停靠和启动的表面(6)，所述停靠和启动表面包括闩锁机构，其包括能够通电以捕获停靠飞行器(2)的电磁体；并且另一能量收集表面(4)具有光伏面板以利用太阳能发电或用于各种机载应用的氢燃料以对所述飞行器(2)充电，从而为停靠系统或无人驾驶的海洋飞行器供电，前提是如果本发明正在水上施用时。

For servicing the dispatching website and allocator of unmanned logistics distribution carrier

本发明涉及一种用于服务无人物流配送载具的配送站点及配送方法，配送站点包括：建筑物(1)，具有用于停靠至少包括无人物流配送飞行器(5)和无人物流配送车辆(4)的无人物流配送载具的载具停放空间；货物传送装载装置，设置在建筑物(1)内，用于自动将待配送货物传送并装载到被分配的无人物流配送载具上；和货物调度装置，用于为待配送货物分配对应的无人物流配送载具，并向无人物流配送载具提供指导无人物流配送载具进行配送的引导信息，以便无人物流配送载具根据引导信息对待配送货物进行自动配送。本发明能够降低配送站点的人力成本，提高配送效率。

Landing and payload loading structures

Lamps and lanterns are repaired using pilotless carrier

一种基座单元（1）（例如灯具），包括固定装置（3、5、15），该固定装置被配置为将模块（11）（例如，光模块）固定在基座单元中。例如包括一个或多个凸出部（15）、一个或多个凹陷部（3）和一个或多个磁场生成器（5）的固定装置被配置为在检测到无人驾驶飞机（31）与基座单元或模块对接时从基座单元释放模块。

Geographic reference for unmanned aerial vehicle navigation

无人飞行器(UAV)导航系统包括定位在存放设施处的UAV充电板、定位在存放设施处的多个基准标记和UAV。每个基准标记与存储基准标记的定位的基准数据集相关联，并且每个基准数据集被存储在基准地图中。UAV具有导航系统，该导航系统包括相机、基准导航子系统、非基准导航子系统和逻辑，逻辑在被执行时使UAV使用相机对第一基准标记成像，从非基准导航模式转换到基准导航模式，从基准地图访问存储第一基准标记的定位的基准数据集，以及基于存储第一基准标记的定位的基准数据集导航到与UAV充电板对齐并且着陆在UAV充电板上。

Drone routing combining autonomous flight and assist vehicle travel

A system comprises a drone having autonomous drive capability and an assist vehicle (AV) for transporting the drone in an assisted drive mode in which the drone is held at, and transported by, the assist vehicle. Control hardware and software are programmed to determine drone travel over a route having a first route section in which the drone travels autonomously and a second route section in which the drone travels in the assisted drive mode.

Taxi of unmanned aerial vehicles during package delivery

A delivery system includes a processor programmed to construct a route so as to include predefined segments traveled by carriers configured to taxi the vehicle and charge a battery thereof such that a state of charge of the battery remains above a target for a duration of the route, and forward the route to the vehicle.

Intelligent docking system with automated stowage for uavs

The present invention generally relates to a system and method of a docking system (1) for fixed wing unmanned aerial vehicle, or non-fixed wing unmanned aerial vehicle (2) such as rotorcraft, or combination thereof, comprising at least a docking and/or launching pad capable of arranged in an array or staggered manner; said pad has a surface (6) for said vehicle docking and launching, said docking and launching surface comprising a latching mechanism which includes electromagnets that can be energized to capture a docking vehicle (2); and another energy harvesting surface (4) has photovoltaic panel to harness solar energy to generate electricity or hydrogen fuel for a variety of onboard applications such as to charge said vehicle (2), to power the docking system, or the unmanned marine vehicle if the present invention is being deployed on water. (The most illustrative figure is FIG. 1)

A drone and drone recharging and storage station

A drone 601 having stabilising means to dampen pitch and roll when the drone is in flight, comprising at least one gyroscope 604. Preferably there are two stabilising gyroscopes located substantially centrally within the frame. There are a number of lift rotors 602 on the drone body 603, providing vertical lift. The drone may also have sideways facing air displacement means, preferably in the form of a plurality of drift rotors 605, and may have adjustable flaps. Preferably the air displacement means comprise four rotors aligned such that two of the rotors are substantially parallel and substantially perpendicular to the other two rotors. The drone preferably has an inductive charging means configured to connect inductively with a remote charging station when the drone is proximate to the charging station, in order to charge a battery on the drone. Preferably the drone has one or more cameras mounted on the shell configured to record or stream video footage. There are independent claims for a drone with inductive charging means, for a drone and storage station with inductive charging means and weather protection means, and for a carrier case for a drone.

The method of UAV and its cleaning wall, the wall cleaning systems using the UAV

一种UAV及其清洁墙体的方法、采用该UAV的墙体清洁系统，该UAV清洁墙体的方法包括如下步骤：步骤a，获取待清洁路径；步骤b，根据所述待清洁路径，飞行至待清洁区域；步骤c，识别所述待清洁区域的墙面；步骤d，采用UAV承载的清洁装置对所述墙面进行清洁。上述UAV清洁墙体的方法可以大大降低了建筑物的墙体清洁的危险性，并且无需吸附在建筑物的墙面上，其移动较为方便，可以适用于不同类型的墙体。

For being able to carry out the docking recharging station of the unmanned vehicle of ground moving

这里引入的技术包括一种对能够进行地面移动的无人驾驶飞行器进行高效对接和再充电的系统，该系统利用了平台、坡道、集成在平台中的能够对所述飞行器进行再充电的电路和接口，通过该系统，能够遮蔽不利的天气条件并且能够同时对能够进行地面移动的多个无人驾驶飞行器进行再充电，而不会招致不希望的干扰和延迟。

System and methods for drone-based vehicle status determination

Exemplary embodiments relate to a drone system including a drone configured for navigation of an outdoor facility and equipped with an RFID reader, an optical code reader, and at least one of powertrain control module data receiver and an electronic control module data receiver. The system includes a computing system in communication with the drone.

Charging station and combined charging station

The invention relates to a charging station (2) for a vertical take-off and landing aircraft comprising one or more energy stores, the station having a charging device for transferring electrical energy to the energy store or stores. The invention also relates to a combined charging station (12) for vertical take-off and landing aircraft, each aircraft comprising one or more energy stores, the combined charging station (12) having multiple charging stations (2).

Unmanned aerial vehicle descends and transports on removing haulage vehicle

用于利用运输交通工具运输无人飞行器的系统和方法。所述系统包括：无人飞行器(“UAV”)，包括：推进系统；以及用于存储能量的动力模块，其中动力模块连接至推进系统并且被配置为提供能量给推进系统来使UAV飞行；以及计算系统，包括：一个或多个处理器；以及存储器，其耦接至一个或多个处理器并且存储程序指令，程序指令当被一个或多个处理器执行时促使一个或多个处理器来至少：确定UAV能够降落在上面以进行运输的多个运输交通工具，作为至UAV的目的地的行进路径的一部分；从多个运输交通工具中选择第一运输交通工具，以便UAV降落在上面而使UAV在距离上更接近UAV的目的地。

Ground station device for a plurality of unmanned aircraft

A ground station device for a plurality of unmanned aircraft, comprising an upper face, which comprises a plurality of receptacles for positioning a plurality of unmanned aircraft, a data interface for connecting the ground station device to a control unit, and a power supply device for charging the unmanned aircraft. The ground station device is designed to be stackable so as to form a stack with at least one other ground station device.

Methods and apparatus for reconfigurable power exchange for multiple uav types

A reconfigurable system capable of autonomously exchanging material from unmanned vehicles of various types and sizes. The system comprises an environmental enclosure, a landing area, a universal mechanical system to load and unload material from the unmanned vehicle, and a central processor that manages the aforementioned tasks. The landing area may comprise a one or more visible or non-visible markers/emitters capable of generating composite images to assist in landing the unmanned vehicle upon the reconfigurable, autonomous system.

Take-off and landing station

The invention relates to a take-off and landing station (1) for a flying vehicle (2) for transporting people and/or loads, which flying vehicle takes off and lands vertically and comprises a flight module (3), having a plurality of drive units (17) arranged on a main structure (16) of the flight module (3), and a transportation module (4), which can be coupled to the flight module (3). The take-off and landing station (1) comprises a holding apparatus (21) having a plurality of gripper elements and support elements (11) for supporting, fixing and/or orienting the main structure (16) during take-off and landing of the flying vehicle (2) or the flight module (3).

Landing and charging system for drones

A system for homing and recharging an unmanned vehicle comprises a plurality of homing layers operative along the radius of an imaginary circle that has the homing target at its center, each homing layer consisting of a sub -system provided with location means of increasing accuracy relative to that of a sub -system that operates along said radius farther away, from the center of said circle.

Aerial vehicle with enhanced pitch control and interchangeable components

An aircraft capable of vertical take-off and landing comprises a fuselage, at least one processor carried by the fuselage and a pair of aerodynamic, lift-generating wings extending from the fuselage. A plurality of vectoring rotors are rotatably carried by the fuselage so as to be rotatable between a substantially vertical configuration relative to the fuselage for vertical take-off and landing and a substantially horizontal configuration relative to the fuselage for horizontal flight. The vectoring rotors are unsupported by the first pair of wings. The wings may be modular and removably connected to the fuselage and configured to be interchangeable with an alternate pair of wings. A cargo container may be secured to the underside of the fuselage, and the cargo container may be modular and interchangeable with an alternate cargo container.

Control device, control method and aircraft device

[问题]为了提供一种使得可以通过飞行器设备的方式获得高度精确的图像的控制器。[解决方案]提供了一种用于飞行器设备的控制器，所述飞行器设备设置有捕获成像目标的图像的成像设备和照亮成像目标的照明设备，所述控制器设置有根据机身的倾斜调整照明设备的光量的照明控制单元。

Multi-zone battery exchange system

提供一种多区电池站，该多区电池站包括多个着陆区域，该多个着陆区域被配置用于支撑UAV。电池站可允许为UAV更新电池寿命，更新电池寿命可包括对UAV的电池充电或将UAV的电池更换为新电池。不同的区可适应不同的UAV类型、不同的电池类型，或根据不同的能量供应规则来运行。可在着陆区域上设置标记来辅助将UAV引导至合适的着陆区域。

Personalized and customized plant management using autonomous clustered drones and artificial intelligence

本公开总体上涉及一种用于提供用于多个植物的个性化管理的系统和方法。一种示例性系统包括多个无人机，其包括第一无人机、坞站和服务器。第一无人机被分配到多个植物中的第一植物，并且被配置为容纳无人机附件的多个组合。坞站包括多个无人机附件。服务器包括与多个植物有关的数据库。该数据库包括与第一植物相关联的位置信息。第一无人机进一步被配置为：多次访问第一植物，收集与第一植物相关联的植物特定的信息，基于植物特定的信息获得处方，其中处方与一个或多个要求相关联，基于处方向第一植物提供护理。

Base of stationing and automatic management for drones

The present invention relates to the field of the unmanned aerial vehicles, in particular to a suspended landing and take-off and management base.

Drone for autonomously completing a task.

En algunas modalidades, los aparatos y métodos se proporcionan en la presente útiles para completar una tarea deforma autónoma. En algunas modalidades, un dron comprende un mecanismo de propulsión, un punto de unión configurado para recibir y asegurar al menos una herramienta al dron, una pluralidad de sensores configurados para detectar información con respecto a la realización de la tarea del dron cuando una herramienta particular es asegurada al punto de unión, y un circuito de control configurado para recibir la información sobre la realización de la tarea por parte del dron, determinar que la realización de la tarea es inadecuada, yen respuesta a la determinación de que la realización de la tarea es inadecuada, al menos uno de (a) seleccionar una nueva herramienta con la cual realizar la tarea para reemplazar la herramienta en particular y (b) transmitir una notificación que indique que se necesita un nuevo dron para realizar la tarea usando la herramienta en particular.

Autonomous robotic navigation in storage site

A robot includes an image sensor that captures the environment of a storage site. The robot visually recognizes regularly shaped structures to navigate through the storage site using various object detection and image segmentation techniques. In response to receiving a target location in the storage site, the robot moves to the target location along a path. The robot receives the images as the robot moves along the path. The robot analyzes the images captured by the image sensor to determine the current location of the robot in the path by tracking a number of regularly shaped structures in the storage site passed by the robot. The regularly shaped structures may be racks, horizontal bars of the racks, and vertical bars of the racks. The robot can identify the target location by counting the number of rows and columns that the robot has passed.

Energy supply system

This energy supply system, which is a system constituting a regional power system in a target region, comprises: a power transmission system including a first power generation facility and a second power generation facility; a power transmission and distribution system that supplies power to each consumer; a management system; and an unmanned flying object. The unmanned flying object has a transport function of transporting a cargo and a power supply function of supplying power to an external unit. When the amount of power supplied by the power transmission system is less than the amount of power consumed by the power transmission and distribution system, the management system performs a power adjustment process of supplying power from the unmanned flying object to the power transmission and distribution system by using a power supply function of the unmanned flying object.

Drone aircraft landing and docking systems

A docking station for an aircraft includes a base portion and an alignment system disposed on the base portion configured to orient the aircraft relative to the base portion. The alignment system can include a plurality of outer protrusions extending away from the base portion in a vertical direction.

Unmanned aerial vehicles

Configurable streetlight sensor platform

The technology described in this document is embodied in a sensor platform that includes an enclosure for housing one or more sensors, the enclosure configured to be deployed between a streetlight and a streetlight controller that manages operations of the streetlight. The sensor platform also includes an electrical receptacle for receiving the streetlight controller in a substantially secure configuration. The sensor platform also includes an electrical connector for connecting the enclosure to the streetlight. The sensor platform also includes at least one pass-through connector disposed within the enclosure to provide an electrical connection between the electrical connector and the electrical receptacle.

Uav and wall cleaning method thereof, and wall cleaning system using same

An UAV and a wall cleaning method thereof, and a wall cleaning system using the UAV. The wall cleaning method of the UAV comprises the following steps: step a, obtaining a path to be cleaned; step b, flying to an area to be cleaned according to the path to be cleaned; step c, identifying the wall surface of the area to be cleaned; and step d, using a cleaning device carried by the UAV to clean the wall surface. The wall cleaning method of the UAV described above enables a remarkable reduction in the risk of cleaning building walls, and there is no need for the UAV to be adsorbed to the wall surface of a building; and the UAV is convenient to move and is applicable to different types of walls.

Incremental deployment of buoy or buoy network

Systems and methods are disclosed herein for a modular buoy deployment system including modules arranged to be assembled at a destination location and an aerial delivery apparatus arranged to deliver the buoy modules (202, 204, 206, 220) to the destination location. The modules are connectable to at least one other module and form a buoy (101) when assembled. The module buoy deployment system also optionally includes a platform (104) arranged to receive one or more aerial delivery apparatuses. Each module conforms to a delivery criteria of the aerial delivery apparatus. The module buoy deployment system also optionally includes a power system arranged to recharge the aerial delivery apparatus.

Medical material delivery system

本发明能实现一种廉价、稳定并且安全的医用材料传送系统，即使各个检体传送装置发生故障，也不会导致整个系统的故障。当从检体回收请求终端(107)请求回收检体，管理部(108)发送检体接收命令(110)。接收到检体接收命令(110)的无人机(101)基于接收到的信息从待机坞(105)出发，飞行到检体采集场所(106)，并且从检体保持器(102)取出用于设置检体的检体托盘。将检体容器收纳在检体托盘中，使检体托盘返回到检体保持器(102)，并由锁定机构锁定检体托盘。无人机(101)飞行到到达站(104)，并且在到达之后，通过使用解锁钥匙从检体保持器(102)取出检体托盘。在回收检体托盘内的检体容器之后，将检体托盘设置在检体保持器(102)中，无人机(101)返回到待机坞(105)。

Method for replacing battery of drone

본 발명은 배전 전주에 설치되는 지지플레이트, 상기 지지플레이트 상에 설치되며, 드론이 안착되기 위한 내부 공간이 형성된 드론 하우스 및 상기 지지플레이트 내부에 구비되며, 상기 드론으로부터 투하된 배터리를 충전시키는 무선충전부를 포함하는 배전 전주형 드론충전소로서, 본 발명에 의하면, 특수 목적 드론이 운행 중에 효율적으로 충전 또는 축전지 교체를 가능하게 하는 인프라를 구축할 수 있게 한다.

Mobile communication terminal having unmanned aerial vehicle

The present invention relates to a mobile communications terminal having an unmanned aerial vehicle. According to the present invention, an unmanned aerial vehicle is disposed in several sorts of developable mobile communications terminals including a smart phone, a tablet phone, a tablet computer, etc. capable of being personally carried and providing mobile communications, so the unmanned aerial vehicle can fly and perform various tasks according to control using the mobile communications terminals. The mobile communications terminal of the present invention comprises: the unmanned aerial vehicle equipped with a flying means, a wireless communications means, and an image photographing means; and a mobile communications terminal unit equipped with a housing unit for housing the unmanned aerial vehicle. The mobile communications terminal unit comprises: an unmanned aerial vehicle control means for making the unmanned aerial vehicle to fly and photograph an image through wireless communications with the unmanned aerial vehicle; and an operating means for inputting a control command of a user to the unmanned aerial vehicle control means.

Charging system, power supply unit and aircraft

提供一种飞行器，包括：电源模块和充电装置，所述充电装置包括至少两个充电触件和与所述至少两个充电触件连接的充电电路，每一个充电触件分别通过二极管与所述充电电路的充电正极和充电负极相连；所述充电装置通过充电触件与外部供电装置提供的至少两块供电板接触以便为连接的所述电源模块充电，其中，所述飞行器还包括：通信模块；所述通信模块用于在接收到外部供电装置发送的移动控制信号时，指示飞行器根据所述移动控制信号进行复飞移动及降落。

Hangar and arrangement for changing a battery from an aircraft

Offenbart ist ein Hangar mit einem Portalroboter, der eine Hebewerkzeug hat. Der Portalroboter ist zum Heben und Senken von Batterien vorgesehen, um diese beispielsweise bei einer in dem Hangar angeordneten Drohne zu wechseln. Disclosed is a hangar with a gantry robot that has a lifting tool. The portal robot is provided for lifting and lowering batteries in order to change them, for example, in a drone arranged in the hangar.

Relay planting unmanned aerial vehicle system and charging method thereof

本发明公开了一种中继保植无人机系统及其充电方法，涉及航空机械设备领域。本发明包括埋于地面的中继充电机构和无人机保植机构；无人机保植机构包括机体和动力机构，机体内置有控制模块和BDS系统，动力机构呈四翼分布设于机体外，动力机构的底端安装有红外发生装置，红外发生装置向下射出锥形红外光幕，动力机构通过水平的连杆与机体连接，连杆上通过滑动机构设有水平供风的鼓风机构；中继充电机构包括底部埋于地面的基块，基块的顶面设有充电模块以及与每个红外发生装置对应的红外接收器，红外接收器与控制模块通过无线信号连通；以解决现有的保植无人机，作业覆盖面积小，需要预留电量进行返航的问题。

System and method for threat monitoring, detection, and response

A drone receives an activation command indicating a user's need for monitoring, and is deployed based on the activation command and a set of initial operational parameters. The drone autonomously navigates to a first position with respect to the user and performs a first configured action. A plurality of monitoring data signals corresponding to the user and surrounding environment is captured using sensors on the drone, and is wirelessly transmitted by the drone to a remote monitoring system. The monitoring data signals are continuously analyzed to generate updated operational parameters causing the drone to autonomously navigate to a second position and perform a second configured action. A third configured action is received by the drone from the remote monitoring system, wherein the third configured action is generated based on a threat analysis performed by the remote monitoring system on the monitoring data signals.

System for charging an aircraft

示例实施例包括具有壳体和被配置为从电源汲取电力的电力端的着陆垫。着陆垫还包括导电的着陆端，该着陆端在壳体的背侧，并且被配置为使得在飞行器的着陆状态期间，着陆端与设置在飞行器的机身的腹侧的多个电触点接触。着陆端被配置为在飞行器的着陆状态期间经由电触点将由电力端汲取的电力传送到飞行器。

Method for unattended operations using autonomous or remotely operated vehicles

System and method for limiting airspace access of unmanned aerial vehicle

本文公开了用于为无人机提供用于访问受限制区域的条件访问的方法、系统和设备。无人机可以接收与针对受限制区域的条件访问限制相关联的条件访问信息。无人机可以将所接收的条件访问信息与针对无人机的一个或多个访问参数进行比较。无人机可以基于对所接收的条件访问信息和访问参数的比较，来访问受限制区域。当基于针对无人机的访问参数，所接收的条件访问信息不准许访问受限制区域时，无人机可以采取校正动作。

Unmanned aerial vehicle take-off and landing system

根据一个实施例的无人机起降系统，包括：具备贯通孔的无人机；以及具备可通过所述贯通孔的延长部件的着陆架，其中，当所述着陆架的所述延长部件通过所述无人机的贯通孔时，所述贯通孔与所述延长部件之间产生涡电流(Eddy Current)，从而在所述无人机产生电磁制动(magnetic braking)效果。

The battery change system of multi-region

提供一种多区电池站，该多区电池站包括多个着陆区域，该多个着陆区域被配置用于支撑UAV。电池站可允许为UAV更新电池寿命，更新电池寿命可包括对UAV的电池充电或将UAV的电池更换为新电池。不同的区可适应不同的UAV类型、不同的电池类型，或根据不同的能量供应规则来运行。可在着陆区域上设置标记来辅助将UAV引导至合适的着陆区域。

Unmanned aerial vehicle with detachable computing device

This disclosure is generally directed to an Unmanned Aerial Device (UAV) that uses a removable computing device for command and control. The UAV may include an airframe with rotors and an adjustable cradle to attach a computing device. The computing device, such as a smart phone, tablet, MP3 player, or the like, may provide the necessary avionics and computing equipment to control the UAV autonomously. For example, the adjustable cradle may be extended to fit a tablet or other large computing device, or retracted to fit a smart phone or other small computing device. Thus, the adjustable cradle may provide for the attachment and use of a plurality of different computing devices in conjunction with a single airframe. Additionally the UAV may comprise adjustable arms to assist in balancing the load of the different computing devices and/or additional equipment attached to the airframe.