4607 results about "Uncrewed vehicle" patented technology

The invention discloses a folding wing structure of an unmanned aerial vehicle, which comprises a rotating shaft embedded in a vehicle body, wherein a lower wing elastic sheet and an upper wing elastic sheet are mounted in an inner cavity of the rotating shaft from bottom to top, a first locking block and a second locking block are respectively arranged at the free ends of the lower wing elastic sheet and the upper wing elastic sheet, the first locking block and the second locking block are respectively matched with a first notch and a second notch which are formed in the rotating shaft, the outer side of the rotating shaft is sequentially sleeved with a lower wing and an upper wing from bottom to top, the upper surface of the lower wing and the lower surface of the upper wing are each provided with a groove, the two grooves are oppositely formed to form a torsional spring groove, a torsional spring is arranged in the torsional spring groove, and the upper inner sides of the lower wingand the upper wing are provided with a first locking groove and a second locking groove correspondingly; and the outer side of the rotating shaft is further sleeved with a roller bearing, a baffle isinstalled at the top of the rotating shaft, and the roller bearing is located between the upper wing and the baffle. The processing cost of the unmanned aerial vehicle is reduced, the folding wing structure is insensitive to the structural size, and the folding wing structure can adapt to a more miniaturized barrel-shooting unmanned aerial vehicle.

Provided is a machine room inspection robot, comprising a robot body, propellers, supporting rods, a top protection plate, a protection ring, elastic pieces, a control part, distance sensors, connecting rods, walking wheels and rotating shafts. The robot body is an unmanned aerial vehicle of a circular structure when overlooked. Propellers are respectively arranged on two sides of the top of the robot body. A supporting rod is arranged at the top of the robot body. A top protection plate is arranged at the tops of the supporting rods. A protective ring is arranged on the periphery of the robotbody. The protection ring is connected with the robot body through an elastic piece, a distance sensor is arranged on the periphery of the top of the robot body, a control part is arranged in the robot body, the distance sensor is electrically connected with the control part through a cable, connecting rods are symmetrically arranged at the bottom of the robot body relative to the center line, and walking wheels are arranged at the bottom ends of the connecting rods. The robot has the advantages that the inspection mode that a traditional inspection robot can only shuttle and walk on the ground for inspection is changed, the moving range of the robot is not limited by ground obstacles, and certain flexibility is achieved.

The invention discloses a battery tank structure of an unmanned aerial vehicle (UAV) and relates to the technologies of battery tank structures of UAVs. The battery tank structure can solve the problem of large space occupation of a battery tank of an existing UAV. A main battery tank body is of a rectangular structure, is placed in the middle of a UAV body, the side wall of the tank body is provided with a plurality of positioning holes, and a battery locking mechanism is fixed by the positioning holes and fixedly connected to a battery after the battery is inserted into the battery tank; byfixing the battery locking mechanism to the positioning holes in different positions, the position of the battery in the whole UAV body is adjusted, and correspondingly the position of the gravity center of the UAV body is adjusted. The structure is mainly used for UAVs.

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle flight operations near physical structures or objects. In particular, a point cloud of the physical structure is generated using aerial images of the structure. The point cloud is then referenced to determine a flight path for the UAV to follow around the physical structure, determine whether a planned flight path to desired locations around the structure is possible, determine the fastest route to return home and land from a given position around the physical structure, determine possibility of inflight collision to surface represented in point cloud, or determine an orientation of a fixed or gimballed camera given a position of the UAV relative the point cloud.

This invention relates to the field of unmanned aerial vehicle (UAV) technology and discloses a multi-functional UAV. The UAV includes a stabilizing support mechanism installed at the bottom of each of its four rotor arms. This stabilizing support mechanism can stably support the UAV in soft sand. An auxiliary mechanism is rotatably connected to the top of each stabilizing support mechanism. This auxiliary mechanism assists in supporting the stabilizing support mechanism and improves its cushioning capacity. A secondary support mechanism is detachably connected to the bottom of the UAV. This secondary support mechanism protects the bottom of the UAV and prevents it from tipping over on uneven ground. Through the cooperation of the stabilizing support mechanism and the auxiliary mechanism, the UAV can utilize its own gravity to stabilize itself in sandy or soft soil terrain, preventing it from sinking or tipping over. Furthermore, the structure is purely mechanical, simple, and low-cost, and is relatively reliable in extreme environments.

This invention discloses an artificial intelligence-based method and system for the inspection and control of power distribution networks using unmanned aerial vehicles (UAVs). Relating to the field of UAV power inspection technology, the method includes: adjusting the UAV's pose in real time based on target perception feedback during the inspection process to actively align with the target and acquire images of power components; uploading valid images from the selected images to a cloud-based management platform; identifying power component entities in the selected images and constructing a spatial semantic graph based on the spatial distribution relationships between components; performing topological logic reasoning and feature consistency analysis on the spatial semantic graph to identify abnormal component states and determine the power logic attributes of faulty components; generating maintenance instructions based on the identified abnormal states and power logic attributes and pushing them to the terminal. This invention addresses the problems of high redundancy in original images, insufficient physical positioning accuracy leading to ambiguity in component logical identity identification, and difficulty in identifying long-tail atypical hidden dangers during power distribution network inspection.

The application discloses a low-altitude unmanned aerial vehicle with a protection function, and relates to the field of unmanned aerial vehicles.The unmanned aerial vehicle comprises a main body, paddle blades connected to the ends of four supporting arms of the main body, a chassis fixedly connected to the bottom of the main body, a shell fixedly connected to the bottom of the main body and inside the chassis, a camera main body fixedly connected to the inside of the shell, four bidirectional elastic connection structures eccentrically arranged between the shell and the inner side of the chassis, horizontal rotating blocks and vertical rotating blocks, horizontal link blocks elastically connected to the inner side of the chassis, and vertical link blocks elastically connected to the outer surface of the shell.The bidirectional elastic connection structures can make the related components adaptively rotate along the impact direction, efficiently convert the concentrated impact force from different directions into the rotary motion of the mechanism around the rotating supporting point, and realize the direction guidance and dispersion of the impact force.

A reconfigurable landing platform for a base station that is configured to receive an unmanned aerial vehicle (UAV). The landing platform includes alignment members, which are configured for engagement with the UAV, and a drive mechanism, which is connected to the alignment members to facilitate repositioning of the alignment members from an extended position into a retracted position to thereby reposition the UAV on the landing platform. The drive mechanism includes a drive member and pulley assemblies, which engage the drive member and are configured to vary a lateral tension and an axial tension therein.

This invention discloses a landing buffer device for unmanned aerial vehicles (UAVs), relating to the field of aviation equipment technology. By integrating the roller body and the sliding plate as two grounding structures onto the landing gear, the device can quickly switch operating modes according to ground conditions through the linkage of the piston cylinder and piston rod. On flat ground, the roller is used first to reduce gliding resistance, while on muddy or slippery ground, the sliding plate is used for grounding, effectively preventing roller jamming and enhancing all-terrain adaptability and landing safety. Simultaneously, the mechanical buffer composed of a second and third spring, combined with the hydraulic damping buffer composed of buffer components, forms a highly efficient double-layer energy-absorbing buffer structure, which to a certain extent alleviates the damage to the aircraft and equipment caused by landing impact, thus improving the landing safety of the UAV.

The application provides a complex terrain area elevation inversion method based on small unmanned aerial vehicle borne interferometric SAR. N-track small unmanned aerial vehicle flight tracks are set, the X-axis and Y-axis coordinates of the starting point and ending point of each track small unmanned aerial vehicle are unchanged, and the value of the Z-axis is gradually increased along the vertical direction. N-track echo data are obtained by the small unmanned aerial vehicle borne SAR according to the set tracks, and BP algorithm is used for imaging processing to obtain N SAR images. The offset of the SAR images of adjacent short baseline small unmanned aerial vehicles is obtained. The offset of the SAR images of long baseline small unmanned aerial vehicles is calculated based on the offset of the SAR images of small unmanned aerial vehicles, and the SAR images of long baseline are image matched. The SAR images after image matching are processed to obtain corresponding interference phase images, and the interference phase images are filtered by using Goldstein algorithm. Multi-baseline phase unwrapping is performed based on the interference phase of the interference phase images. The complex terrain area elevation inversion method of SAR is realized.

The present application provides a kind of straw coverage detection method and device of cross-scale multi-source data fusion, applied to remote sensing image processing technical field, above-mentioned method includes: the ground photograph is input to visual big model and is carried out semantic segmentation, obtains the straw coverage of corresponding ground scale range;Based on the straw coverage of ground scale range, the scale range adaptation is carried out to unmanned aerial vehicle image, and unmanned aerial vehicle sample image is obtained;Based on the image similarity calculation of unmanned aerial vehicle image block corresponding ground photograph and unmanned aerial vehicle sample image, the overall similarity of each unmanned aerial vehicle image block is obtained;Select a fixed proportion of target unmanned aerial vehicle image block to generate new sample;Based on unmanned aerial vehicle image straw coverage sample set, construct straw coverage regression model;Satellite remote sensing image is input to straw coverage regression model, and the straw coverage extraction result of target area is obtained;Through the present application, the straw coverage of large area range can be realized accurate extraction.

A technique for mapping assets deployed for an unmanned aerial vehicle (UAV) service includes capturing, with a mobile computing device, a plurality of side view images of a ground area including the assets, the assets deployed to the ground area for supporting operations of the UAV service, the side view images acquired from different pedestrian vantage points about the ground area; measuring, by the mobile computing device, camera locations of the mobile computing device when capturing the side view images; analyzing the side view images along with the camera locations of the mobile computing device to determine asset locations of the assets at the ground area; and updating a backend management system of the UAV service to record the asset locations determined from the analyzing.

Systems, methods, and software for operating an unmanned aerial vehicle (UAV). A method includes capturing a video stream using one or more camera sensors of the UAV. The method includes transmitting data representative of the video stream to a ground station communicably coupled to the UAV. The method includes determining one or more performance characteristics of a communications link between the UAV and the ground station. The method includes adjusting a resolution of the video stream according to the one or more performance characteristics of the communication link. Embodiments of the present technology provide continuity of video quality for viewing by UAV users at ground stations responsive to variations in video data transmission capacity during flight operations with minimal, or no, detrimental impact on user experience.

To effectively alleviate lack of exercise and stress in cats. [Solution] The system comprises an unmanned aerial vehicle that flies by autopilot, a camera mounted on the unmanned aerial vehicle, and a holding unit mounted on the unmanned aerial vehicle that holds the target object 602. Based on the image captured by the camera, a flying robot 101 flies around the target object, the cat 601, to attract the cat's attention and, specifically for cats 601 that need exercise, to create an opportunity for the cat 601 to move. This effectively alleviates the cat's lack of exercise and stress.

The application discloses a kind of unmanned aerial vehicle target detection methods based on feature fusion DINO, belong to target detection technical field. Including the following steps: obtaining original unmanned aerial vehicle image and pre-processing;The data after pre-processing is sent into feature extraction network Backbone and image feature extraction is carried out, output multi-scale feature map, and it is input into integrated collection feature Neck module to strengthen spatial feature and semantic feature fusion, output enhanced feature map;Fusion enhanced feature map is sent into encoder, and global feature information is highlighted through the multi-scale receptive field of hollow convolution path, finally, the class and boundary box prediction of unmanned aerial vehicle target are generated after decoder generation.The present application is based on DINO architecture, and a high-precision unmanned aerial vehicle target detection model is constructed by a multi-scale hollow convolution fusion method.The detection accuracy and robustness of small-size unmanned aerial vehicle targets are improved by effectively extracting multi-scale features and recursively fusing.

The application discloses a multi-four-rotor unmanned aerial vehicle gathering type task path planning method based on reinforcement learning, first constructs a multi-four-rotor unmanned aerial vehicle Gym environment based on PyBullet, abstracts a state space and an action space of the four-rotor unmanned aerial vehicle, sets a reward function mechanism, then uses an improved deep reinforcement learning algorithm to make path planning decisions, finally trains the improved deep reinforcement learning network, controls the four-rotor unmanned aerial vehicle through output action information, and makes each four-rotor unmanned aerial vehicle successfully reach a specified target task in the shortest time. The method uses N-step returns in the TD3 algorithm, obtains more accurate return estimates, faster learning speed and better generalization performance, uses priority experience replay to reduce sampling bias, reduces model bias caused by uneven sampling, improves algorithm stability, makes the TD3 algorithm more suitable for continuous multi-dimensional decision problems, and can plan an optimal route in the shortest time under the condition that real-time performance and accuracy are reached.

The application relates to an unmanned aerial vehicle parking apron, which comprises a fixed plate, a first folding plate, an auxiliary connecting plate and a second folding plate, the fixed plate is hinged with the first folding plate, the first folding plate is hinged with the auxiliary connecting plate, and the auxiliary connecting plate is hinged with the second folding plate; a first transmission assembly is connected with the bottom surface of the first folding plate through a first C-shaped rocker; the first transmission assembly drives the first C-shaped rocker to drive the first folding plate to be folded to the top plane of the fixed plate and drives the auxiliary connecting plate to be folded to the top plane of the second folding plate, thereby completing the first folding; a second transmission assembly is connected with the bottom surface of the second folding plate through a second C-shaped rocker; the second transmission assembly drives the second C-shaped rocker to drive the second folding plate and the auxiliary connecting plate folded on the second folding plate to be folded to the top plane of the fixed plate together, thereby completing the second folding. The application can realize the automatic secondary folding of the parking apron, the volume of the secondary folding reaches the minimum, the secondary folding has high portability, the top plane area of the secondary unfolding reaches the maximum, and the parking apron has a large parking area.

The application discloses a method for establishing end-to-end secure communication of unmanned aerial vehicle under cloud network architecture, and takes cloud server as a security service center to provide full-process authentication service for unmanned aerial vehicle end system; the cloud server only issues public authentication materials to unmanned aerial vehicles, and session key negotiation and establishment of end-to-end secure communication are realized between unmanned aerial vehicles; the unmanned aerial vehicle end system does not need to store authentication materials of other unmanned aerial vehicles in advance, the cloud server is driven by specific tasks, and specific authentication materials required for key negotiation are issued to unmanned aerial vehicles which need to be securely cooperated according to task requirements. The application only requires that the cloud server and any one of the unmanned aerial vehicles for key negotiation establish a communication connection, and the authentication materials issued by the cloud server can make the unmanned aerial vehicles realize key negotiation and establish an end-to-end secure channel in a specific range; different temporary public keys are used for each request message, which can effectively prevent the harm caused by long-term and short-term secret leakage.

The application belongs to the technical field of unmanned aerial vehicles, and discloses a multi-angle surveying and mapping special unmanned aerial vehicle. The application comprises an unmanned aerial vehicle body and a multi-angle camera body arranged below the unmanned aerial vehicle body. The effect is that the clamping is completed by covering the cover plate and fixing the top rod to automatically push and squeeze the clamping strip, manual screw adjusting and calibrating are not needed, the clamping strip is reset and released from clamping by only disassembling the clamping plate screw, pulling the clamping plate, and the spring, the camera can be quickly replaced and maintained, downtime is reduced, work progress is ensured, the rectangular clamping frame formed by the first clamping strip and the second clamping strip is double-fixed by being engaged with the taper clamp, the full-wrapping clamping rotating limiting plate is resisted against the lateral flight centrifugal force and the take-off and landing impact force, horizontal deviation is prevented, the camera assembly is ensured to be stable, the servo motor cooperates with the transmission rod, the motor drives the transmission rod to rotate, the transmission sleeve rod, the camera and the rotating limiting plate are driven to rotate through the spline, the camera is continuously rotated horizontally by 360 degrees, and large-area panorama or specific direction fine surveying and mapping is met.

This invention relates to the field of dynamic replanning technology for multi-UAVs in heavy-duty logistics, and particularly to a method for dynamic replanning of multi-UAVs for heavy-duty logistics. The method includes: accessing UAV information, cargo information, and initial map information; constructing an initial route and calculating its length after field checks, coordinate unification, and obstacle avoidance processing; generating a candidate route set; then sequentially performing distance, battery power, payload, and charging time constraints to obtain a static planning model; solving the model using a fusion of simulated annealing and ant colony optimization to obtain an initial path solution; updating the map information by real-time acquisition of unknown obstacle information using millimeter-wave radar; identifying the original path obscured by obstacles to generate an old solution; and finally, dynamically updating the old solution by performing path deletion, path addition, and objective function comparison based on operator weight probabilities to obtain a replanned path solution. This invention effectively shortens the maximum time of multi-UAV missions and significantly improves the robustness and adaptability of heavy-duty logistics transportation.

This utility model relates to electrical engineering, specifically to autonomous power sources based on lithium-polymer (Li-Po) cells. It can be used in portable electronic devices, power tools, robotic systems, unmanned aerial vehicles, and other equipment requiring a stable, high-capacity DC power source. The technical result of this utility model is increased mechanical strength and operational safety.A lithium-polymer High Voltage battery for portable use comprises a housing made of heat-shrinkable tube, in which batteries are placed, fixed together with polypropylene adhesive tape to form a battery pack, the terminals of which are connected to a printed circuit board, to which a balancing and power cable are connected, while adhesive tape is glued to the current-carrying parts of the printed circuit board, followed by the application of gaskets made of ethylene vinyl acetate and electrical cardboard, which are fixed with reinforced adhesive tape, and the battery pack consists of lithium-polymer batteries with a capacity of 4300-4500 mAh and a voltage of 22.8 V. 1 fig.

The application provides a kind of unmanned plane control method, device, unmanned plane and storage medium, wherein, the method comprises: according to the tracking instruction of ground station to the strike target, control unmanned plane moves to target area;After unmanned plane moves to target area, the target image is acquired using the nacelle of unmanned plane;According to the tracking positioning result of strike target in target image, determine the angle deviation information between unmanned plane and strike target relative;In response to the shooting instruction of ground station to strike target, according to the angle deviation information between unmanned plane and strike target relative, adjust the posture of unmanned plane, so that the shooting port of shooting device installed on unmanned plane is aimed at strike target, and drive shooting device to shoot at strike target.The application can realize the shooting port of shooting device installed on unmanned plane aiming at strike target by adjusting the position and posture of unmanned plane.

This application discloses a privacy-aware and data de-identification system and method for unmanned aerial vehicles (UAVs). The system includes an airborne edge computing unit, multi-source sensors, a dual-channel data processor, a security encryption and transmission module, and a policy management interface. It is implemented through three parallel pipelines: a real-time privacy-aware pipeline uses a lightweight neural network to detect sensitive targets such as faces and license plates and outputs bounding boxes; a dynamic and precise de-identification pipeline calls a policy library to perform context-aware de-identification on the target area; and a dual-stream split-path controllable transmission pipeline transmits the de-identified data stream to the business platform in real time via a public network, while simultaneously transmitting the encrypted original data stream to a trusted data port through an independent secure channel.

The application provides a kind of Internet of Things empowerment's unmanned plane global inspection data management method and system, it is related to fire danger monitoring technical field, the method includes: when determining as high fire danger grade, corresponding unmanned plane inspection task is generated according to the position and range of early warning area, unmanned plane inspection terminal is controlled from unmanned plane airport autonomous take-off, flies to target early warning area according to preset inspection route and real-time collection fire-related data, correlation analysis is carried out to inspection data, fire danger factor data and fire danger grade evaluation data, fire development trend is deduced through intelligent analysis algorithm, and inspection report and decision suggestion are generated.The application not only improves the accuracy and response efficiency of forest grassland fire danger early warning, but also realizes the whole-process response closed loop from fire danger monitoring and early warning to fire comprehensive analysis and disposal.

This application discloses a method for controlling a drone gimbal, a drone, and related devices. The method includes: acquiring sensing data, mission command data, and gimbal status data of the drone; determining mission status information of the drone based on the sensing data and mission command data; determining environmental condition information of the drone based on the sensing data and gimbal status data; and determining the power consumption mode corresponding to the gimbal on the drone based on the mission status information and environmental condition information. The power consumption mode includes a normal mode, a low-power mode, and a power-off mode, with power consumption decreasing sequentially. Through the above methods, this application can improve the control accuracy of the drone gimbal and enhance the drone's endurance.

Methods, systems and apparatus, including computer programs encoded on computer storage media for generation of autonomous unmanned aerial vehicle flight plans based on triggered sensor information. One of the methods includes accessing information correlated from sensors monitoring features of weather events, and determining an upcoming weather event, the determination comprising one or more areas expected to be affected by the weather event. A likelihood of damage associated with the weather event is determined to be greater than a threshold in the areas. The weather event is monitored while areas in which the likelihood is greater than the threshold are updated accordingly. Subsequent to the weather event, properties to be inspected by unmanned aerial vehicles are determined based on severity information associated with the weather event. Job information is generated, the job information being associated with inspecting the determined properties, the job information including jobs each assignable to operators for implementation.

The utility model discloses a water quality monitoring sampling device based on unmanned plane delivery realizes the goal of automatic sinking, fast, automatic sampling after delivery. The top and bottom of sampling cylinder are equipped with annular flange and check valve mounting disc, the annular flange is connected unmanned plane through the rope, and the check valve core is installed in the ladder hole of check valve mounting disc, and the spring is arranged between check valve core and ladder hole, the slip ring sliding sleeve is arranged on the outside of sampling cylinder and the magnetic ring body is fixedly installed on the slip ring, the inner chamber of sampling cylinder is provided with magnetic piston assembly, the magnetic piston assembly is attracted with the magnetic ring body of outside, when the magnetic ring body moves, the magnetic piston assembly is driven to move in the sampling cylinder. The technology uses unmanned plane to assist the suspension operation, realizes the goal of automatic sinking after delivery, and the water quality of water bottom layer is fast and automatically sampled, the check valve core is automatically closed after sampling, and returns to the shore quickly, and can repeatedly sample.