691 results about "Landing point" patented technology

The invention relates to the technical field of unmanned aerial vehicles, and discloses an unmanned aerial vehicle parking apron dynamic landing point adjustment method and system based on environment awareness, and the method comprises the steps: obtaining environment data and flight parameters, constructing a three-dimensional terrain grid model, and analyzing the stability; loading obstacle data and path constraints to generate a comprehensive evaluation model, and simulating to obtain regulation and control data; training the model to generate initial adjustment parameters, and combining the parameters with the model to obtain dynamic adjustment simulation information; constructing a multi-path optimization model to obtain optimal parameters; and combining real-time sensing to generate a safety probability, and adjusting a landing strategy. The system comprises a data acquisition module, a terrain modeling module and the like. According to the scheme, intelligent optimization and real-time adjustment of a landing point are realized through multi-dimensional environment perception and dynamic modeling, the landing safety and reliability of the unmanned aerial vehicle in a complex environment are improved, and the method is suitable for an intelligent landing scene of the unmanned aerial vehicle.

The invention relates to a dynamic cooperative path planning and autonomous landing control method for an unmanned aerial vehicle and an unmanned ship, and the method comprises the following steps: collecting the state data of the unmanned ship and the unmanned aerial vehicle and the high sea condition environment data, and carrying out the data fusion processing; an improved fast extended random tree algorithm is adopted to plan a safe navigation path for the unmanned ship, the generated path of the unmanned ship is optimized based on an unmanned ship motion model considering environmental interference, and a model prediction control algorithm is adopted to plan a path for the unmanned ship to fly to a predicted landing point of the unmanned ship. Dynamic cooperation between the unmanned ship and the unmanned aerial vehicle is realized through information interaction between the unmanned ship and the unmanned aerial vehicle; the unmanned aerial vehicle recognizes an unmanned ship landing identifier through a visual servo guide system, calculates the position and attitude deviation relative to a landing point, adjusts flight control parameters according to interference conditions by using an adaptive control algorithm, and performs trajectory prediction compensation in combination with an unmanned ship motion model to realize autonomous landing. Compared with the prior art, safe landing of the unmanned aerial vehicle on the unmanned ship under the high sea condition is achieved.

The invention discloses an unmanned aerial vehicle take-off and landing site selection method for urban end logistics, and relates to the technical field of facility site selection, and the method comprises the following steps: S1, obtaining a building contour of a region to be subjected to site selection, and constructing a customer buffer region according to the building contour; s2, based on the customer buffer area, performing noise analysis and safety analysis on the unmanned aerial vehicle, and constructing an overall restricted area; and S3, based on the overall restricted area, constructing a target function taking the lowest cost as an optimization target, a target function taking the highest satisfaction as an optimization target and a plurality of constraint conditions, and obtaining a site selection layout result. According to the method, the applicability of the grid map method in the complex urban environment is verified, and a new thought is provided for the layout of the urban logistics unmanned aerial vehicle take-off and landing points.

The invention discloses an unmanned aerial vehicle autonomous address selection method based on terrain evaluation and approach cost analysis, and relates to the technical field of unmanned aerial vehicle autonomous address selection. After the unmanned aerial vehicle receives a landing instruction in an unknown environment, the geometric safety of the terrain and the cost problem of the approach path can be comprehensively considered, and the landing point selection strategy of the unmanned aerial vehicle is optimized from the global perspective. Firstly, semantic segmentation is performed on an RGB image acquired by a visual sensor through deep learning to acquire a semantic image, then point cloud data acquired by a laser radar and the semantic image are fused to acquire a three-dimensional semantic point cloud, and a terrain safety area conforming to terrain geometric feature constraints is screened out on the basis of considering semantic tags. And finally, calculating the cost of the linear approach path of each candidate landing point in the terrain safety area through traversal, and screening out the landing point with the optimal comprehensive cost, thereby improving the accuracy and practicability of terrain safety area identification. According to the method, an unreachable or high-risk area is avoided, and the global point selection optimization effect is improved.

An unloading control system accesses a weight / mass versus position fill profile for an identified container. The unloading control system generates control signals to position the material transfer vehicle so that an initial landing point of material in the container is at a desired positioned based upon the fill profile. The unloading control system generates control signals to unload material into the container according to the weight / mass versus position fill profile and obtains an indicated of the weight / mass of material transferred. The control system generates control signals to control the landing point of material in the container based upon the fill profile and the weight / mass of material transferred.

The invention discloses a low-altitude airspace planning method and system based on a micro-terminal area, and relates to the field of low-altitude airspace planning, and the method comprises the steps: generating a corresponding take-off and landing area for a low-altitude take-off and landing point or a take-off and landing field, and generating a take-off and landing hub area for an adjacent take-off and landing point or a take-off and landing field, so as to construct the micro-terminal area of the low-altitude airspace; constructing a risk area, and forming a restricted area of the low-altitude airline network together with the control area and the no-fly area; on the basis of the restricted area, generating alternative intermediate points connected with the take-off and landing points or the take-off and landing fields; based on the data of the alternative intermediate points and the data of the micro-terminal area, constructing an initial low-altitude airline network connected with all the points; calculating a weight corresponding to each side line in the initial low-altitude airline network, and optimizing the initial low-altitude airline network based on a weighted network; and removing redundant intermediate points based on the optimized network, constructing access points of the airline network and each micro-terminal area, and generating a final low-altitude airline network. According to the invention, a more reliable technical basis is provided for low-altitude route network planning.

An agricultural harvester has a frame and a spout that is mounted to the frame. A target landing point indicates a position in a receiving vehicle where material is intended to land. A control system detects an actual landing point and automatically controls the spout based on a difference between the actual landing point and the target landing point.

The invention discloses a projectile drop point detection method, system and equipment based on dual-light decision fusion, and a medium. The method comprises the following steps: collecting visible light and thermal infrared imaging data; preprocessing the data to obtain visible light and thermal infrared images of corresponding target region time-space registration; projecting a ground target area on the obtained image after space-time registration to a corresponding reference projection target surface; respectively inputting the registered images into a typical target detection model for target detection, judging whether an explosion phenomenon is detected in the images frame by frame, obtaining positioning information and category information in respective modes, dividing detection results into two categories of matched targets and unmatched targets, and outputting an explosion bounding box after secondary decision making; calculating and correcting the position of the drop point according to the explosion bounding box, and determining the image coordinate of the drop point; and mapping the coordinate of the drop point image to the reference projection target surface to obtain the position coordinate information of the drop point in the reference projection target surface. The method improves the detection precision, and better completes the target scoring task.

The invention discloses an unmanned aerial vehicle non-cooperative environment autonomous landing method and system based on three-dimensional visual semantic information, and relates to the technical field of unmanned aerial vehicle landing recognized.The method comprises the steps that during emergency landing, a semantic segmentation model is used for generating a two-dimensional semantic segmentation map and obtaining semantic tags, and a landing area is automatically screened and tracked; fusing vision and inertia information through an airborne binocular camera and an IMU (Inertial Measurement Unit), outputting an accurate pose and depth map, and inputting a map construction algorithm to reconstruct a landform map of a landing area; projecting the semantic tag to a three-dimensional space and fusing the semantic tag with a terrain map to generate an evaluation map; and finally, an optimal landing point is determined by a landing point selection algorithm, and autonomous landing is completed through a flight control system. The method has the characteristics of high precision and fast reasoning, gets rid of dependence on external signals, significantly improves the landing capability under complex terrains, and guarantees the safety and reliability of autonomous landing.

The invention discloses a quadruped robot landing planning method based on scene decoupling and risk avoidance. The quadruped robot landing planning method aims at solving the problems that in the prior art, perception is not precise in a complex environment, and the obstacle avoidance capacity is insufficient. The method comprises the following steps: acquiring and fusing multi-source sensor data, and segmenting an original point cloud; generating a scene decoupling elevation map of a multi-layer structure by using the segmentation point cloud; constructing a multi-objective optimization problem taking risk avoidance as a core based on the elevation map, wherein the multi-objective optimization problem comprises a comprehensive cost function and a strict obstacle avoidance constraint; utilizing a reaction formula adjusting module of a capturable region theory to cope with a dynamic instability risk; and solving the multi-target and multi-constraint optimization problem in real time by adopting a hierarchical solving strategy, and finally generating an optimal foot end drop point considering safety and stability. According to the method, the terrain adaptability, the motion stability and the decision intelligence of the quadruped robot in an unstructured environment are remarkably improved through fine decoupling of a scene and quantitative avoidance of multi-source risks.

The invention provides an unmanned aerial vehicle route control method and related equipment. A standby landing point in an inspection route of a target unmanned aerial vehicle can be deployed according to a preset inspection route of the target unmanned aerial vehicle; when the electric quantity of the target unmanned aerial vehicle is not enough to complete all the inspection tasks in the inspection task execution process, safe standby drop is carried out at any time, and the battery remaining electric quantity of the target unmanned aerial vehicle is determined and recorded in real time according to the voltage of the battery of the target unmanned aerial vehicle; analyzing the total quantity of batteries required by the target unmanned aerial vehicle to complete the inspection route to be executed and the flight action; whether the current target unmanned aerial vehicle needs to be subjected to standby landing or not and whether standby landing conditions exist or not can be judged in real time according to the electric quantity consumption model and the remaining electric quantity of the unmanned aerial vehicle patrol inspection action; wherein the model can be dynamically adjusted according to external conditions, and if the model is dynamically adjusted according to external conditions, related alarm parameters of the target unmanned aerial vehicle are reported, so that a standby landing strategy of the target unmanned aerial vehicle can be determined based on the alarm parameters, and safe standby landing of the target unmanned aerial vehicle is realized.

The invention discloses a landscape object identification and explanation method and system, a medium and a product, and relates to the technical field of augmented reality. The method comprises the following steps: when the head motion state of a user is stable, triggering a camera to collect and recognize a single-frame image, matching a recognition result with a regional knowledge base, and generating a candidate object list and coarse-grained poses which are sorted according to spatial probability and historical popularity; performing feature point matching on a current frame and an ideal frame in the video stream, and calculating a fine-grained pose of a target landscape in the candidate object list relative to a camera coordinate system according to a matched target feature point; according to the fine-grained pose and the real-time eye movement data, determining a drop point part of the sight line of the user on the target landscape, forming a multi-dimensional query vector according to the drop point part, the intention of the user and the environment context parameters, and generating multimedia explanation content; and carrying out fusion rendering on the multimedia explanation content and the real-time video stream, and outputting and displaying. By implementing the technical scheme, the personalized multimedia explanation content can be generated.

The invention relates to a robot dog dynamic balance and fall self-recovery method and device for a complex terrain, and the method comprises the steps: building a robust local elevation map through fusing multi-sensor data and quantifying the motion uncertainty of a robot; and a safe foot region set defined by the convex polygon is extracted through geometric feature analysis and plane segmentation. Then, collaborative planning of the trunk and the landing point is carried out in combination with a user instruction and the region set. In a control layer, a nonlinear model predictive control algorithm is adopted, a safety area is used as a hard constraint, and incomplete speed constraint is applied to a wheel type foot end, so that an optimized trunk track and a foot end force reference are output. The whole-body controller converts an upper-layer instruction into an accurate joint torque through a multi-task optimization framework with a weight. When instability is detected, the system can autonomously plan and execute a recovery action sequence including curling, controllable rolling and cooperative supporting.

The invention relates to the technical field of artificial intelligence, in particular to a multi-dimensional tennis action analysis system, which comprises a data acquisition module, a data preprocessing module, an evaluation analysis module and a feedback interaction module, and is characterized in that the data acquisition module comprises a posture data acquisition unit, a ball path and walking tracking unit and a motion parameter acquisition unit; the data preprocessing module carries out space-time calibration on posture, track and motion parameters based on a timestamp synchronization mechanism, a fusion data set is formed through data cleaning and standardization processing, and the evaluation analysis module is used for distinguishing action types, integrating scores of posture dimensions, power generation dimensions and drop point dimensions and generating a comprehensive evaluation report; and the feedback interaction module displays an evaluation result in real time on an interface based on characters and visual icons and outputs historical analysis. According to the invention, the data validity is guaranteed, the error interference is eliminated, the analysis efficiency and the professionality of the evaluation result are improved, the use threshold is reduced, and the universality and practicability of the system are improved.

The invention discloses a shipborne fixed-wing aircraft landing guidance law design method and system, and belongs to the field of aircraft guidance law design. The problems that the multi-coordinate system coupling effect of ship motion and aircraft dynamics is not fully decoupled and an existing method is weak in adaptability to non-stable sea conditions are solved. The method comprises the following steps: defining related coordinate systems including a world coordinate system, a landing coordinate system and a ship body coordinate system; calculating an ideal landing point height change value caused by ship deck movement in real time according to the position of the ideal position in the ship body coordinate system; utilizing a KOA-LSTM hybrid forecasting model to predict a motion heave value of a ship deck at a future critical moment; designing a compensation value for the longitudinal position deviation based on the predicted motion heave value, and carrying out dynamic compensation correction on the longitudinal guide instruction; and according to the compensated guide instruction and the real-time position of the aircraft, calculating the transverse and longitudinal deviation of the aircraft relative to the expected landing trajectory to form closed-loop control. The device is mainly used for offshore operation.

The invention provides a biped robot gait planning method and device for a step terrain, and belongs to the technical field of robot gait planning, the method comprises the following steps: based on a linear inverted pendulum model, respectively establishing walking modes of an upper step and a lower step of a biped robot; based on a walking mode, mapping the linear inverted pendulum model under the step terrain into a segmented virtual height linear inverted pendulum model under the plane terrain; based on a segmented virtual height linear inverted pendulum model, gait planning of the biped robot under the stepped terrain is achieved through model prediction control. According to the biped robot gait planning method and device for the step terrain, the linear inverted pendulum model with the virtual centroid height is used, the gait mode is established according to the terrain elevation information and the landing point information of the step environment, and the method and device can adapt to the irregular step terrain with the variable height and the variable length; and the gait has good terrain adaptability.

The invention discloses an emergency homeward voyage control method for an unmanned aerial vehicle under a power failure condition and a medium. The method comprises the following steps: constructing a cascade PID path tracking controller; constructing a cascade model prediction path tracking controller; constructing a model prediction path tracking controller based on the extended state observer; a controller is determined according to the unmanned aerial vehicle power fault condition of emergency return, the unmanned aerial vehicle flight state, forced landing point information and external environment factors, and emergency return control is achieved. The emergency return path tracking controller is determined according to the return route provided by the current flight state, and the return route is tracked.

The invention relates to an unmanned-driving-based air quality underway monitoring device which comprises an unmanned aerial vehicle main body, an air quality monitoring sensor module is arranged at the bottom of the unmanned aerial vehicle main body, and a data transmission module is arranged on the air quality monitoring sensor module. A positioning module, a control module and an energy supply module are arranged at the top of the unmanned aerial vehicle body, the control module controls the flight path, height, speed and take-off and landing points of the unmanned aerial vehicle body, a Gaussian diffusion model is constructed based on real-time monitoring data, the flight height and course are dynamically adjusted through deep reinforcement learning, and the flight speed is adjusted. An area with the maximum pollutant concentration gradient is preferentially explored. The air quality underway monitoring device is high in flexibility, high in real-time performance, low in cost, capable of monitoring multiple parameters, capable of monitoring multiple air quality monitoring parameters at the same time, capable of providing comprehensive air quality information and capable of providing a new generation of high-temporal-spatial-resolution monitoring solution for intelligent environmental protection.

The invention relates to the technical field of path planning of unmanned aerial vehicles through non-electrical variable control, in particular to an unmanned aerial vehicle path optimization method and system for high-speed service area delivery, and the method comprises the steps: carrying out the path planning according to the unmanned aerial vehicle delivery order information and the initial position of an unmanned aerial vehicle, and determining a first delivery path, when the unmanned aerial vehicle arrives at a preset landing flight area along the first distribution path, identifying a motion track of a motion entity in the landing flight area; analyzing the static density distribution and the dynamic density distribution of the motion entity according to the motion track, and fusing the analysis results of the static density distribution and the dynamic density distribution to obtain the density distribution of the motion entity corresponding to each candidate landing point; selecting an optimal landing point from the plurality of candidate landing points according to the density distribution of the motion entities; and according to the optimal landing point, optimizing the first delivery path to obtain a second delivery path, so that the unmanned aerial vehicle lands along the second delivery path and completes delivery.

The invention relates to the technical field of helicopter landing, and discloses an auxiliary landing system and method for a helicopter under a sand blind condition, and the system comprises a plurality of height prediction layers. The plurality of height prediction layers are sequentially sleeved around the helicopter take-off and landing area to form an early warning area; and each height prediction layer is provided with a height mark. The method comprises the following steps: preliminarily searching a take-off and landing area, and preliminarily determining the take-off and landing area as a landing point; identifying a height mark on the outermost height prediction layer in the current visual field, and judging the initial height of the current helicopter from the ground based on the height mark; in the continuous descending process of the helicopter, identifying a height mark on a height prediction layer entering the view for the first time, and updating the current real-time height of the helicopter from the ground based on the height mark; after the height prediction layer of the innermost layer is recognized, the helicopter gets close to the ground and prepares to land. The technical problem that the helicopter is difficult to land under the sand blind condition can be solved.

The invention discloses a rockfall detection method, device and equipment, a storage medium and a product, and relates to the technical field of machine vision, and the rockfall detection method comprises the steps that a monitoring picture of rockfall of a road side slope is acquired; performing static background removal processing on the monitoring picture to obtain a background reconstruction image, and performing region labeling on a dynamic target in the monitoring picture to obtain a dynamic region of the dynamic target; inputting the background reconstruction image into a preset YOLO algorithm to obtain a first detection result of the dynamic target, and inputting the dynamic region into a preset classification network to obtain a second detection result of the dynamic target; and the falling point of the rockfall is determined based on the first detection result and the second detection result, that is, the rockfall detection efficiency is improved by improving the rockfall detection rate and the rockfall point detection accuracy.

The invention provides an unmanned aerial vehicle flight management method and system for a vertical take-off and landing field. The method comprises the steps of determining an available take-off point set and an available landing point set from all unmanned aerial vehicle take-off and landing points of the vertical take-off and landing field; initial take-off information of the unmanned aerial vehicle taking off in the vertical take-off and landing field is obtained, the take-off point of the unmanned aerial vehicle is determined from the available take-off point set based on the initial take-off information of the unmanned aerial vehicle, and a take-off stage four-dimensional flight path flight plan of the unmanned aerial vehicle is determined, the initial takeoff information comprises a predetermined takeoff moment, a predetermined departure point and takeoff stage space constraint information of the unmanned aerial vehicle; and controlling the unmanned aerial vehicle to fly from the take-off point to a corresponding predetermined departure point based on the take-off stage four-dimensional flight path flight plan. Safe, fair and efficient flight management can be provided for the take-off and landing flight of unmanned aerial vehicles of different low-altitude business operation service providers taking off and landing in the vertical take-off and landing field within the range of the vertical take-off and landing field, low-altitude economy can be better served, and good market value is achieved.

The invention relates to a game map switching method and device, equipment and a medium. The method comprises the steps of determining a target object needing to be transmitted in a current map in a game scene in response to a map switching event, and keeping a motion state of the target object according to motion state information of the target object; loading a scene transition special effect to cover the game scene, displaying an additional transmission tool of the scene transition special effect, and rendering a target object to enable the target object to be mounted with the transmission tool; keeping a visual mounting effect of the transmission tool and the target object, transferring the target object to a barrier-free channel space between the current map and the target map, and clearing the current map and scene resources thereof; and completing loading of the target map and the scene resources thereof, controlling the target object to be transferred from the channel space to a landing point in the target map determined according to the motion state information, and clearing the scene transition special effect to completely expose the game scene. According to the method and the device, seamless and efficient map switching is realized, and the immersion and fluency of a game are remarkably enhanced.

The invention relates to an unmanned aerial vehicle route planning method and system for a low-altitude airspace, and the method comprises the steps: constructing a global airspace model for the flight of an unmanned aerial vehicle, enabling a fan-shaped grid airspace model in the global airspace model to be constructed based on a terminal area airspace, and enabling a uniform grid airspace model to be constructed based on an air route airspace; if the unmanned aerial vehicle is within the range of the fan-shaped grid airspace model, performing route planning on the unmanned aerial vehicle through a GOA * algorithm; and if the unmanned aerial vehicle is in the range of the uniform grid airspace model, performing route planning on the unmanned aerial vehicle through an A * algorithm. According to the method and the device, dynamic fan-shaped grid modeling is carried out on the terminal area airspace with large unmanned aerial vehicle density and complex air-ground elements, the narrow available airspace can be effectively utilized to carry out optimal route planning in the process that the unmanned aerial vehicle gradually gets close to a take-off and landing point, the flight safety of the unmanned aerial vehicle is greatly improved, and the method and the device have wide application prospects. The problem of how to improve the safety of the flight route of the unmanned aerial vehicle is solved.

The invention provides a low-altitude logistics aircraft take-off and landing point and vehicle dynamic connection positioning calibration method, and aims to solve the problems of insufficient positioning precision, poor collaboration and single path optimization in dynamic connection. The method comprises the following steps: firstly, constructing a multi-source fusion positioning module, fusing multi-sensor data through hardware terminal integration and data synchronization and an adaptive filtering algorithm, and realizing high-precision positioning by combining environment adaptive signal switching; secondly, a vehicle-aircraft cooperative calibration link is established, and real-time cooperation is guaranteed through low-delay data transmission, dynamic deviation prediction calibration and communication exception handling; and finally, establishing a multi-agent collaborative path optimization model, modeling based on multi-target parameters, modifying a path in real time by an improved algorithm, and improving a connection effect. The method is suitable for high shielding scenes such as an operation area, centimeter-level positioning calibration can be realized, and the accuracy and collaboration of dynamic connection are enhanced.

An aircraft includes a flight plan and contingency data including a plurality of contingency landing sites. An aircraft communication system communicates with a ground control station via a communication link and detects a lost communication scenario in response to degradation in the communication link. An aircraft flight control system controls the aircraft en route according to the flight plan. In response to detecting the lost communication scenario, the flight control system routes the aircraft back to a last known location in which the communication link was not degraded. In response to failure to re-establish the communication link, the flight control system selects a landing site based on a current aircraft location relative to a plurality of potential landing sites including an origin airport, a destination airport, and a first continency landing site. The flight control system controls the aircraft to approach and land at the selected landing site.

The invention provides a quick motion control method for a quadruped robot in a discrete terrain, which is used for improving the quick passing performance of the quadruped robot in a complex discrete terrain. According to the method, a multi-dimensional constraint model including dynamic constraints, kinematics constraints and the like is constructed, and limiting conditions of the robot during fast passing are systematically analyzed; an optimal safe landing point is searched by adopting an efficient optimization algorithm, and a dynamic response rapid motion controller is established on the basis of the optimal safe landing point, so that the posture and the foot end track of the robot are accurately regulated and controlled, and finally, the quadruped robot is ensured to have rapid and stable motion capability in discrete terrains.

An alternate landing site selector system and apparatus utilizing a hierarchy calculator for automatically ranking a plurality of alternate landing sites by assigning a suitability value to each of the alternate landing sites corresponding to that site's suitability for landing, wherein the assigned suitability value is based on at least distance from the aircraft, runway length, terrain, or weather conditions. The system may assist the pilot (crew) in resolving or reducing the urgency of an emergency or in executing a proposed solution to a given emergency, or may direct the aircraft autopilot in executing the suggested (and selected) solution. In either case, the system of the present invention provides the pilot with time to consider an emergency and its resolution (while the aircraft is directed toward a safe configuration or flight condition. The present invention may also ascertain the configuration of an aircraft from changes in the aircraft's position over time, or update an aircraft in preparation for a particular flight or flight condition.

The invention relates to the technical field of sports engineering, in particular to a table tennis track prediction and drop point analysis system. The system comprises a data acquisition module, a data processing module and a prediction module, the data acquisition module captures a motion image sequence through a visual sensor; the data processing module extracts a position coordinate time sequence and calculates motion parameters; the prediction module predicts a trajectory and a drop point in combination with a physical motion equation and a machine learning model. The physical motion equation comprises air resistance, gravity and Magnus effect items, and the machine learning model adopts a long short-term memory network to process time sequence data. According to the system, the tracking precision is improved through multi-sensor data fusion, model parameters are dynamically adjusted through an environment calibration module, and accurate and reliable trajectory prediction and drop point analysis are achieved.

The invention provides a hovercar landing decision-making method and device based on heterogeneous multiple sensors, and the method comprises the steps: carrying out the semantic segmentation of an RGB image collected by a hovercar through a semantic segmentation model when the hovercar is in a low-altitude middle-layer region, obtaining a ground static obstacle, and determining a plurality of landing regions; determining an optimal landing area from the plurality of landing areas based on safety, energy consumption and interactivity evaluation; when the hovercar enters a low-altitude low-layer area, dynamic obstacles in an optimal landing area are detected through the collected RGB images and point cloud data; and performing dynamic prediction on the dynamic obstacles in the optimal landing area, establishing a risk potential field, and taking a point with the minimum risk value in the risk potential field as an optimal landing point. According to the method, frequent switching of the hovercar can be avoided, the landing path is optimized, and energy consumption is reduced.