59 results about "Gps navigation" patented technology

The invention discloses a robot indoor and outdoor navigation switching method and system based on a large language model, and the method comprises the steps: obtaining multi-dimensional data of an environment where a robot is located through employing a multi-mode sensor, and the multi-dimensional data comprise a visual image, a laser radar point cloud, a GPS signal, and IMU data; the preprocessed image is input into a visual encoder, and key visual features are extracted. And the big language model performs reasoning by using the characteristics, and outputs a scene judgment result in combination with an internal scene knowledge base. In order to enhance the accuracy of scene judgment, the change trend of multi-frame image features is analyzed based on a time sliding window. An extended Kalman filter is adopted in an indoor and outdoor transition area to carry out weighted fusion on multi-mode sensor data, a dual-mode parallel operation mechanism is adopted during navigation mode switching, and SLAM and GPS navigation modes are activated at the same time in the indoor and outdoor transition area. And by dynamically adjusting the weights of the SLAM and the GPS, gradually transitioning to a target navigation mode at a data fusion level, so that smooth switching is realized.

The invention relates to the field of unmanned ships, and discloses an intelligent cruise and collaborative operation method for a multifunctional unmanned ship, which comprises the following steps: debugging preparation: selecting a functional module according to an operation demand, installing the functional module on an unmanned ship modular platform through a standardized interface, completing initialization and establishing a data transmission link with a cloud; and cruise planning: acquiring environmental data in real time, planning an initial cruise path by using a self-adaptive algorithm in combination with position information acquired by Beidou or GPS navigation in real time, and monitoring environmental changes in real time, dynamically optimizing the path and adjusting a route and a speed to cover a task area during navigation. By collecting environmental data in real time and planning and optimizing a cruise path by using an adaptive algorithm, the unmanned ship can accurately cover a task area, does not depend on a fixed route any more, dynamically adjusts the route and speed according to the actual situation of a water area, quickly reaches a key monitoring point, and reduces unnecessary sailing time.

The invention discloses a three-dimensional space GPS navigation system. A three-dimensional space GPS navigation system comprises: a map information collection device for acquiring a GPS satellite map of a target area; the unmanned aerial vehicle flying device flies to the high altitude of the target area and is in signal connection with the signal base station or a GPS satellite so as to position the position of the unmanned aerial vehicle in the high altitude; the high-altitude image acquisition module is used for acquiring high-altitude image data of the target area and establishing a three-dimensional scene model based on the high-altitude image data; and the navigation information generation module is used for determining the position in the three-dimensional scene model based on the position of the unmanned aerial vehicle and generating a target route according to the three-dimensional scene model. The navigation scheme provided by the invention can effectively reduce the influence of natural plant growth on navigation when being used in the field, and can accurately find the satellite route through the constructed three-dimensional scene model.

The invention relates to the technical field of intelligent inspection of power equipment, and particularly discloses a power transmission line inspection system based on an autonomous correction long-endurance unmanned airship. The system aims to solve the problems of short endurance, small operation radius, single image angle, intermittent operation, leak detection, low precision, poor environmental adaptability and the like caused by dependence on manpower or GPS navigation in the conventional unmanned aerial vehicle inspection. The system comprises an energy supply module, a data acquisition module, an intelligent control module and a communication and data return module. Wherein the energy supply module is integrated with a solar energy collection, storage and intelligent scheduling unit to realize day-and-night continuous energy supply; the intelligent control module adopts an RT-DETR visual algorithm to identify a tower in real time, performs automatic deviation correction by fusing pose information, and accurately tracks a preset track; the data acquisition module supports multi-angle high-definition imaging, and the communication module guarantees real-time data return. And high-precision unmanned inspection with ultra-long endurance, full-automatic and wide-area continuous coverage is integrally realized.

The invention discloses an ultrasonic guidance method and system based on deep learning, and the method comprises the steps: collecting ultrasonic dynamic image data through a collection terminal, carrying out the framing processing of the collected ultrasonic dynamic image data, and carrying out the real-time detection of the framed ultrasonic dynamic image data; positioning the section structure in a GPS navigation manner according to a detection result, and performing real-time coordinate identification on the detected section structure; recording and establishing a section structure feature frame index of each frame of ultrasonic dynamic image data; when the system is started, all the standard sections are displayed by default, the section state is displayed as undetected, each frame of detection is finished, the detected standard sections and the section with the characteristic state are displayed as detected, a user is guided to scan the undetected standard sections with a probe, and the ultrasonic standard section guiding effect is achieved.

The invention discloses a seedling conveyor based on GPS navigation and an automatic deviation correction control method of the seedling conveyor, and belongs to the technical field of intelligent agricultural machinery. The seedling conveyor is jointly composed of a rack, a conveyor belt motor, a seedling tray conveyor belt, a steering wheel set, a GPS positioning module and a control system; the deviation between the actual track and the virtual track point is calculated in real time, and the output frequency of the motor is adjusted, so that automatic deviation correction is realized, and if the deviation exceeds a set threshold value, the running frequency of the wheel leg motor is automatically adjusted to ensure that equipment runs along a preset path. Compared with a traditional fixed rail type seedling conveying mechanism, the seedling conveying mechanism can be flexibly dispatched among different operation fields, accurate seedling conveying operation is achieved, and the problems that a fixed rail type seedling conveying mechanism is poor in flexibility and high in cost are solved.

The present invention provides an intelligent inspection system, method, and device for logistics site safety inspections, relating to the technical field of logistics site safety inspections. The system primarily comprises a data acquisition module, a data processing module, and a result generation module. The data acquisition module includes a road condition image unit, a GPS navigation unit, a three-dimensional model unit, an IMU inertial unit, and a sensor unit. The data processing module includes a cargo overturning risk assessment unit and a curve passability risk assessment unit. This solution enables intelligent inspection and early warning of safety issues at logistics sites, and is particularly suitable for providing early warning of risks such as cargo overturning, curve passability, overheight, and overweight during the transportation of large cargo, thereby effectively preventing major safety accidents.

The invention provides a wheel type Al navigation mobile charging trolley which comprises a trolley body, the trolley body comprises a drive-by-wire chassis, an automatic Al navigation driving module, a power battery module, a vehicle-mounted industrial personal computer and a vehicle control panel, and the automatic Al navigation driving module comprises a multi-line laser radar, a GPS navigation device, a depth binocular camera, a front single-line laser radar, a rear single-line laser radar and a controller. A wheel type front axle and a chassis power supply module are sequentially arranged in the drive-by-wire chassis from front to back; and the wheel type rear axle and the chassis power supply module are respectively connected with a vehicle-mounted industrial personal computer, a controller and a vehicle control panel through a drive-by-wire chassis controller. The multi-line laser radar, the GPS navigation device, the depth binocular camera, the front single-line laser radar, the rear single-line laser radar, the controller and the vehicle-mounted industrial personal computer are adopted for exemplarily guiding and controlling the line-controlled chassis to move, and driving actions such as moving, turning and braking of the whole vehicle can be achieved.

An improved in-vehicle infotainment (IVI) system and methodology facilitating the display, computation, receipt and transmission of enhanced data elements and data files. System and methodology comprising an improved IVI system with an enhanced series of software and firmware capable of communicating with external data servers, processing enhanced protocols, transmitting data elements in report form with data attachments, and displaying the received enhanced data elements onto callout icons overlaid onto a GPS navigation interface. Additional system and methods include protocols for external servers to receive, encode, decode, compress, decompress, store, compute and transmit emergency reports and aggregate data files.

The invention discloses a GPS-fused cooperative positioning error compensation method and system. The method comprises the following steps: acquiring coordinate information of a GPS receiver and data information of an IMU sensor on a moving body in real time; calculating the actual position of the moving body at the current moment based on the data information; calculating a difference value based on the data information in combination with the coordinate information and the data information; setting a spoofing detection threshold value, and if the difference value is greater than the spoofing detection threshold value, determining that the GPS signal has spoofing; if deception exists, correcting the GPS signal based on the actual position; and according to the correction terminal point after the GPS signal is corrected, judging a target position decoy by the deception signal. According to the invention, the IMU sensor is introduced while the GPS is used for navigation and positioning, so that the positioning precision is improved, the overall robustness and reliability are enhanced, and the system can still work normally in a complex environment; moreover, the method can judge the position of a target which is deception by the deception signal.

The application discloses a kind of based on visual navigation substation unmanned aerial vehicle inspection method and system, comprising: based on the video stream data of unmanned aerial vehicle acquisition, obtain multiple continuous video frame images;Video frame image is input into feature extraction network, and the substation road environment feature is extracted, and the extracted feature is respectively input into yaw angle prediction network and horizontal flight prediction network, and the yaw angle parameter of each direction substation road and the translation parameter required for unmanned aerial vehicle flight are output;According to the parameter information output, based on Gaussian mixture model, determine the yaw angle of unmanned aerial vehicle, and then generate unmanned aerial vehicle rotation direction control instruction and generate unmanned aerial vehicle translation control instruction;According to control instruction, control unmanned aerial vehicle flight, and carry out inspection.The application learns through the visual image of substation, so that unmanned aerial vehicle can recognize the pre-set inspection path and surrounding environmental obstacles, get rid of the dependence on GPS navigation signal, realize substation unmanned aerial vehicle automatic inspection.

The utility model belongs to the technical field of riding equipment, and particularly relates to a guiding prompter and riding clothes with the guiding prompting function, the riding clothes comprise a riding clothes body and the guiding prompter arranged on a sleeve forearm of the riding clothes body, the guiding prompter comprises a bottom plate, a controller, a Bluetooth module, a display screen and a lamp bead set, and the controller, the Bluetooth module, the display screen and the lamp bead set are arranged on the bottom plate. The signal input end of the controller is in signal connection with the GPS navigation system through the Bluetooth module, and the signal output end of the controller is in signal connection with the display screen and the lamp beads. The controller receives navigation data of the GPS navigation system through the Bluetooth module, the navigation data comprises steering information and distance information of a front intersection, the controller controls the display screen to visually display the navigation data and controls the lamp beads, corresponding to the steering information of the front intersection, in the lamp bead set to be turned on, and in rainy days with poor sight lines, the navigation data can be visually displayed. Compared with mobile phone navigation, the guiding prompter can enable the rider to obtain guiding prompts more clearly and timely.

The present invention proposes a SINS / GPS combined navigation fault diagnosis method combining RVM / chi-square-sequential probability ratio, which uses the fault diagnosis method combining residual chi-square and sequential probability ratio to judge GPS information. When GPS works normally, the information of the accelerometer and gyroscope of SINS is used as the training input of the prediction model, and the training target output is the position increment of GPS at the same moment. The prediction model of GPS output is established by using RVM regression algorithm. When there is an abnormal source of GPS, this virtual GPS can predict the position increment of GPS based on the information of accelerometer and gyroscope collected by SINS, and establish the position information of virtual GPS in combination with the position result of the previous cycle, so as to realize SINS / GPS continuous navigation and avoid the accumulation of navigation system errors when GPS errors are large.

This invention discloses an adaptive control system for inspection drones, belonging to the field of drone intelligent control technology. This adaptive control system can automatically inspect the furnace, greatly reducing workload and improving inspection efficiency compared to traditional inspection methods. Furthermore, the automatic inspection avoids high-altitude operations, reducing the danger of inspection work. This invention can achieve continuous self-positioning of the drone based on preset reference objects within the furnace. This method can operate independently of GPS navigation, enabling rapid updates of the drone's spatial position even in furnaces with weak GPS signals. The entire process can be performed without signal interaction with other devices or platforms, significantly reducing the impact of signal interference. Additionally, when performing inspection tasks, the drone can operate outside of visual range without affecting its autonomous positioning, greatly enhancing the drone's inspection range and capabilities.

The utility model relates to the technical field of rotary cultivators, and particularly discloses a crawler efficient cultivation machine which comprises a cultivation machine body. The crawler wheel is arranged at the bottom end of the cultivator main body; the blade mechanism is mounted at the outer part of one side of the cultivator main body; by means of the lifting arm, the blade outer cover, the speed reducer and the controller, the blade is designed to be in an arc shape or an anchor shape so that the blade can penetrate through and turn over soil more effectively, cultivation resistance is remarkably reduced through the optimized design, operation efficiency is improved, and in addition, by carrying a GPS navigation system and combining an automatic driving algorithm, the operation efficiency is improved. The rotary cultivator can realize accurate positioning and autonomous navigation, the dependence on manual operation is reduced, the operation efficiency is further improved, the intelligent operation mode is particularly effective for a complex or rapidly-changed operation environment, and the adaptive capacity and the working efficiency of the rotary cultivator in diversified farmlands are greatly enhanced.

The invention relates to the field of agricultural planting, and particularly discloses a wheat-corn double cropping relay intercropping annual high-yield synergistic mechanized production method which comprises the following steps: wheat sowing: adopting a wheat and corn relay intercropping mode, setting the width of a wheat sowing belt to be 50 cm, reserving the width of a corn empty row to be 50 cm, setting the total row spacing to be 1 m, and ensuring standardized planting of each row; drip irrigation tape laying and soil loosening: during the growth period of the wheat, laying drip irrigation tapes along the reserved empty rows of the corn, and performing soil loosening operation; according to the method, through deep integration of accurate planting parameter control and agricultural machinery agriculture, both the wheat and the corn can achieve good yield. Wherein standardized row spacing configuration is matched with a precision seeding technology, it is ensured that the corn planting density is stabilized at 7800 plants per mu, meanwhile, the operation precision is improved to 95% or above through application of a GPS navigation system, and the phenomena of repeated seeding and miss-seeding are remarkably reduced. Through cooperation of a drip irrigation system and deep scarification operation, the water and fertilizer utilization rate is increased, and soil organic matter is increased annually.

The utility model relates to the technical field of vehicle-mounted navigators, and particularly discloses a multi-scene intelligent interaction anti-seismic vehicle-mounted navigator which comprises a vehicle-mounted navigator body, and a control circuit board is arranged in the vehicle-mounted navigator body. The control circuit board comprises a single-chip microcomputer main control circuit, a GPS navigation circuit, a PC end connection circuit, a display screen circuit, a WIFI circuit, a power supply circuit and a buzzer alarm circuit. The single-chip microcomputer main control circuit is electrically connected with the GPS navigation circuit, the PC end connection circuit, the display screen circuit, the WIFI circuit, the power supply circuit and the buzzer alarm circuit. According to the utility model, the working states of the GPS navigation circuit, the PC end connection circuit, the display screen circuit, the WIFI circuit, the power supply circuit and the buzzer alarm circuit are respectively controlled by arranging the single-chip microcomputer main control circuit, the circuit integration degree is high, the wiring is convenient, and the manufacturing cost is low.

1. Name of the product in this design: Handheld GPS Device. 2. Purpose of this design: For GPS navigation. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a pine tree planting intelligent fertilization system based on an unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicle intelligent fertilization, the system comprises a route setting module, an operation module, a monitoring module and a fertilization module; the route setting module is used for carrying out real-time positioning on the current position of the unmanned aerial vehicle through the GPS navigation positioning technology. The fertilization module is arranged, angle compensation data of a fertilization discharging port are calculated through an angle compensation algorithm according to data information monitored by a wind speed and wind direction sensor, and opening compensation data of the fertilization discharging port are calculated through a wind speed proportion algorithm; therefore, the microcontroller can adjust the angle and size of the discharge port of the fertilizer applicator according to the calculated data to realize compensation, so that the fertilizer applicator on the unmanned aerial vehicle can cope with external wind interference, it is ensured that the fertilizer is accurately scattered into a target planting area, the fertilization precision is further improved, and the fertilization efficiency is improved. And the fertilizer supply required during pine tree planting is ensured.

The invention discloses a GPS navigation single-arm robot navigation system for percutaneous nephrolithotripsy (PCNL), which comprises a reverse laser positioning module used for emitting laser from inside to outside of tissues through a laser emitter to assist in positioning an insertion point of a surgical puncture needle; the single-arm robot execution module is used for driving a puncture needle to arrive at the body surface puncture point marked by the laser spot along a planned path based on instruction movement of the navigation signal tracking and fusion module and executing puncture; the navigation signal tracking and fusion module is used for tracking signals, receiving and processing spatial position information and medical image data and generating a real-time navigation interface; the special instrument suite comprises an integrated double-endoscope sleeve, and the inner diameter of the sleeve allows the standard nephroscope or the flexible ureteroscope to conduct combined lithotripsy or exploration at the same time. According to the invention, reverse optical positioning, robotics, real-time electromagnetic navigation and special instrument innovation are integrated, and an integrated intelligent solution for covering preoperative planning, intra-operative navigation, channel establishment and stabilization of the whole process is provided.

The invention discloses an unmanned vehicle positioning and navigation method based on multi-sensor data fusion. An unmanned vehicle carries a laser sensor, an IMU sensor and a GPS navigation system. The laser sensor, the IMU sensor and the GPS navigation system are fused into the same coordinate system through external parameter calibration; unifying trigger pulses of all the sensors so as to synchronize acquisition timestamps of the laser sensor, the IMU sensor and the GPS navigation system; according to the campus area type in the campus scene, the fusion weight of the laser sensor, the IMU sensor and the GPS navigation system is adjusted in real time, and outdoor positioning and indoor positioning of the unmanned vehicle are completed; according to the invention, multi-sensor data fusion positioning is realized, and the precision and stability of unmanned vehicle positioning in an outdoor environment and an indoor environment are improved.

The invention provides a geomagnetic positioning and navigation method under a GPS (Global Positioning System) denial condition. The method comprises the following steps: acquiring a geomagnetic value and latitude and longitude coordinate data through an integrated navigation sensor; converting the latitude and longitude coordinates into plane coordinates suitable for establishing a trajectory model, and storing the processed geomagnetic values and corresponding coordinate values into a geomagnetic coordinate database; establishing a plane map track and a geomagnetic plane map model by using the geomagnetic coordinate data of each measurement point; collecting geomagnetic data through a geomagnetic sensor under a GPS denial condition, and storing the geomagnetic data into a geomagnetic database after processing the geomagnetic data; and realizing geomagnetic positioning and navigation under a GPS denial condition by using a matching algorithm based on a minimum Euclidean distance. The geomagnetic positioning and navigation method under the GPS denial condition can effectively solve the positioning problem under the satellite signal limited environment, is suitable for various complex terrain environments, can solve the error accumulation problem existing in GPS navigation, ensures the accuracy of long-term navigation, and has wide application prospects.

The present application discloses a three-dimensional GPS navigation system. A three-dimensional GPS navigation system includes: a map information collection device that obtains a GPS satellite map of a target area; an unmanned aerial vehicle (UAV) flight device that flies to a high altitude above the target area and connects to a base station signal or a GPS satellite signal to locate the UAV's position at high altitude; a high-altitude image acquisition module that obtains high-altitude image data of the target area and establishes a three-dimensional scene model based on the high-altitude image data; and a navigation information generation module that determines the position of the UAV in the three-dimensional scene model based on the UAV's position and generates a target route based on the three-dimensional scene model. The navigation solution provided by the present application, when used in the wild, can effectively reduce the impact of natural plant growth on navigation, and accurately find the satellite route through the constructed three-dimensional scene model.

The utility model discloses a coaxial high-speed unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicles. The coaxial high-speed unmanned aerial vehicle comprises a cylindrical fuselage, a battery main body and a motor main body driven by the battery main body are arranged in the cylindrical fuselage, a motor rotating ring is arranged at the output end of the motor main body, a paddle main body is arranged on the motor rotating ring, a microcomputer is arranged at the bottom of the cylindrical fuselage, and a navigation camera and a GPS navigator are arranged on the microcomputer. According to the coaxial high-speed unmanned aerial vehicle, on one hand, the unmanned aerial vehicle is small in size, easy to carry and convenient to throw in a large number, on the other hand, when the unmanned aerial vehicle is thrown, the cylindrical fuselage and the gravity center are designed at the bottom, the posture is conveniently and rapidly adjusted through gravity, and the stability augmentation function of the unmanned aerial vehicle is achieved in cooperation with the design of the motor body, the motor rotating ring and the paddle body; in cooperation with a microcomputer, a navigation camera and a GPS navigation design, a 2.4 G frequency band image transmission and data transmission system communicates with an operation end, and the unmanned aerial vehicle flies towards a target rapidly.

The air quality monitoring alarm recommendation system, method and computer device of the present invention can provide a travel decision based on the air quality and people's health status, and a list of things to prepare when traveling. In view of the fact that the air quality in streets changes rapidly and that some areas cannot be monitored when vehicles monitor the air quality during route navigation, when monitoring the air quality, the air quality collection unit on the building is preferentially used for preliminary air quality monitoring, and then the data is transmitted to the user. The user plans multiple navigation routes based on the data in combination with the GPS navigation module. The system also includes a mobile air quality precision monitoring component, which can monitor the air quality in real time on the driving route. It includes an air particle rapid detector and several air purifiers. The air quality can be preferentially detected by the air particle rapid detector. When the air quality does not meet the standard, several air purifiers are started for air purification.

This invention discloses an intelligent navigation four-row rice transplanter and its transplanting method. The invention includes a chassis, a seedling box device, a seedling picking device, and an auxiliary seedling delivery device. The invention plans the global operation path through a controller and uses a GPS navigation module for positioning, achieving unmanned operation. The seedling picking device's lifting mechanism drives its elevation to adapt to different planting depth requirements. Furthermore, the longitudinal movement device of the seedling box device drives the elevation of the seedling box assembly, adjusting the height difference between the seedling box assembly and the seedling picking mechanism, thereby adjusting the amount of seedlings picked by the picking claws in the seedling picking mechanism to adapt to different transplanting agronomic requirements. The auxiliary seedling delivery device assists in delivering seedlings to the seedling box assembly. This invention achieves unmanned operation with intelligent navigation along the rice crop row path, adaptive elevation of the seedling box assembly and seedling picking arm for different paddy fields, rice seedling picking, and fully automated rice transplanting, effectively improving the level of intelligence in rice transplanting.

The invention discloses a solar multifunctional self-powered smart pavilion which comprises a supporting column, a canopy, a photovoltaic film, a GPS navigation positioning module, a loudspeaker module and a wifi network module, one end of the supporting column is fixedly connected to the ground, the other end of the supporting column is fixedly connected with the canopy, the photovoltaic film covers the surface of the canopy, the GPS navigation positioning module is installed at the opening end of the canopy, and the loudspeaker module is installed at the opening end of the canopy. The wifi network module and the sound loudspeaker module are integrally installed on the supporting column, the bottom of the supporting column is connected with a table board and a seat, the photovoltaic film is electrically connected with the energy storage module, and the GPS navigation positioning module, the wifi network module and the sound loudspeaker module are electrically connected with the energy storage module and the control terminal respectively. The self-powered lighting facility has the advantages that the self-powered lighting facility is provided, people can conveniently use a wireless network, position navigation and the like, the control terminal controls the GPS navigation positioning module, the wifi network module and the sound loudspeaker module to send instructions, and the diversified and intelligent requirements of citizens are met.

The application discloses a kind of methods for preventing ETC gantry system misreading, belong to highway electronic communication technical field, including the following steps: S1, when vehicle travels, vehicle-mounted equipment is with GPS navigation module and the data transmission of automobile sensor module acquisition vehicle-mounted equipment terminal;S2, path screening module on vehicle-mounted equipment terminal is possibly screened out by the positioning of GPS navigation module Vehicle travel path;S3, vehicle speed comparison module on vehicle-mounted equipment terminal compares vehicle speed and travel speed on possible travel path screening, when vehicle travels on highway, accurate highway route can be screened by the screening of vehicle speed comparison module;It can realize effectively preventing the misreading of vehicle travel lane adjacent direction ETC gantry to vehicle-mounted electronic tag, the problem of reverse tolling caused, while ensuring the accuracy of charge without increasing the construction cost and transaction success rate of ETC gantry, so as to ensure the normal operation of ETC system.

The invention discloses a method for generating a tourism navigation route by customizing point locations, which comprises the following operation steps of: monitoring the own position point in real time through the combination of a GPS (Global Positioning System) navigation system and a Beidou satellite system, simultaneously monitoring and comparing the two groups of systems, and accurately calculating the own position; a GIS geographic information model is established according to the positions monitored by a GPS navigation system and a Beidou satellite system and spread to the surrounding, and tourist attractions, parking points, charging gas stations, accommodation points and shopping points of the surrounding positions are marked emphatically; and an AI identification system is arranged at each scenic spot marking point in the GIS geographic information model. According to the method for generating the tourism navigation route by customizing the point locations, data integration is carried out in a circle by taking the tourism navigation route as a center point, tourist attractions, parking points, charging and gas station points, accommodation points and shopping points are integrated into a GIS geographic information model, and the GIS geographic information model is managed, maintained and updated in real time.

The present invention discloses a system and method for autonomous landing of a rotary-wing UAV based on a mobile platform. By designing a multi-scale nested combination mark to meet the recognition requirements of a monocular camera at different distance gradients, the drone's monocular camera maintains a recognizable mark at different altitudes during landing. Simultaneously, an auxiliary landing system calculates and estimates the mobile platform's speed and position, and uses the acquired drone's speed and position to assist in landing. This system and method achieves autonomous landing of the drone on the mobile platform by switching between three basic states: GPS navigation, visual cruise, and visual navigation. It features high landing efficiency and strong stability.