107results about How to "Improve mapping accuracy" patented technology

The invention discloses a remote sensing surveying and mapping image enhancement processing method for an unmanned aerial vehicle, and relates to the technical field of image enhancement processing. During operation of a system, flight attitude and position information are recorded through GNSS and IMU equipment, the flight path of the unmanned aerial vehicle is controlled, and collected original images are primarily processed; calculating and obtaining a flight stability coefficient Fs, an image acquisition quality coefficient Iq and a topographic feature retention coefficient Tf, removing random noise in a remote sensing image by using an improved non-local mean NLM algorithm, optimizing and processing an edge region, improving edge definition and texture details of a topographic image through a Laplacian pyramid algorithm, strengthening landform features of mountains and hills, and obtaining a remote sensing image; according to the method, color distortion caused by complex mountain illumination conditions is corrected, image colors are enabled to truly restore topographic features, important landform information is prevented from being lost due to over-brightness or over-darkness, topographic feature extraction is optimized, a final index Zfinal is generated, and quality evaluation is performed on an enhanced and corrected image.

The invention provides a visual localization prior map construction method and device based on a laser radar. The method comprises the following steps: acquiring foundation laser radar point cloud data and mobile laser radar image data of a localization area; constructing a local map of the ground-based laser radar point cloud data, and matching the frame of the mobile laser radar image data with the local map to obtain the current pose estimation of the laser radar; global positioning is carried out on the laser radar according to the key frame in the current pose estimation, an optimization factor graph is constructed based on a global positioning result, and pose constraint is carried out on the initial pose estimation of the laser radar; and based on the final pose estimation of the laser radar after pose constraint, constructing a priori map database for visual localization in the localization area. Through the method and the device, the defects of failure and poor robustness of a prior map positioning method in a complex scene with serious GNSS positioning error or even failure in the prior art are solved.

The invention discloses a watercourse basin hydrological surveying and mapping device, and particularly relates to the technical field of surveying and mapping, the watercourse basin hydrological surveying and mapping device comprises a stand column arranged on the bank side of a watercourse basin, a photovoltaic panel erected on the top of the stand column, an extension arm, a detection area arranged on the stand column and extending to a watercourse, and a water level monitoring unit. The water quality monitoring unit can complete dynamic adjustment along with the water level of the river channel, surveying and mapping precision is improved, meanwhile, a recording mechanism is additionally arranged, the recording mechanism completes follow-up cooperation along with the water quality monitoring unit, the change of the water level of the river channel can be sensed, and real-time recording is completed through a receiving unit. Dynamic continuous drawing operation can be completed under the power-off condition, the problem that the river water level change is missing under the condition that electronic equipment such as a water level monitoring unit breaks down is solved, drawing data are enriched, the accuracy of river hydrological drawing is improved, the error rate is reduced, and guarantee is provided for river water level surveying and mapping work.

The invention discloses a remote sensing positioning marking device for land management surveying and mapping, and particularly relates to the technical field of land management surveying and mapping, the remote sensing positioning marking device comprises a base and a mounting seat, the upper end of the base is fixedly connected with a supporting frame, and the inner surface of the base and the inner surface of the supporting frame are jointly provided with a fixing assembly; the upper end of the fixing assembly and the inner surface of the mounting base are jointly provided with a clamping protection assembly. According to the remote sensing positioning and marking device for land management surveying and mapping, through the arrangement of the supporting mechanism and the lifting mechanism, the base and the supporting frame are used for supporting, meanwhile, the height of the supporting frame is correspondingly adjusted, stable positioning and marking can be achieved in different terrains and under the ground, and meanwhile by adjusting the height of the supporting frame, the positioning and marking efficiency is improved. It is ensured that the device is always kept in the optimal working state, surveying and mapping precision and efficiency are improved, supporting force can be stably controlled in a hydraulic mode, equipment deviation or inclination caused by uneven ground is prevented, and surveying and mapping data accuracy and reliability are ensured.

The invention relates to the technical field of surveying and mapping robots, in particular to a surveying and mapping robot for pipeline contour intelligent surveying and mapping. Comprising a main shaft, a detection plate, a detection device, a driving assembly, a detection probe, a first hydraulic cylinder, a second hydraulic cylinder, a bearing plate and climbing claws, according to the invention, the following problems in the intelligent surveying and mapping process of the pipeline contour in the prior art can be solved: a vertical pipeline cannot be surveyed and mapped, and the application range is relatively small; in the detection process, dirt cannot be removed, the detection precision is low, and a real pipeline contour cannot be detected; the device can ascend and descend in a vertical pipeline, and the adaptability and flexibility of the device are greatly improved; the device can adapt to changes of the inner wall of the pipeline, and tight adsorption is achieved; dirt on the inner wall of the pipeline can be removed in the moving process through the scraping plate, so that the real outline of the pipeline is mapped, and the mapping precision and accuracy are greatly improved.

The utility model relates to a cleaning robot. According to the cleaning robot, the laser radar assembly with the light filtering component is arranged, stray light generated by the laser radar in the mapping and distance measuring process can be effectively absorbed, the stray light is prevented from influencing mapping and imaging of the cleaning robot, and the mapping and imaging precision of the cleaning robot in the working process is effectively improved.

The utility model discloses a surveying and mapping device for urban and rural road planning, and relates to the technical field of road construction, in particular to a surveying and mapping device for urban and rural road planning, which comprises a wheel carrier, a measuring wheel and an electronic measurer, a first damping mechanism is arranged at the top of the wheel frame, a second damping mechanism is arranged at the top of the supporting frame, and a displayer and a pushing handle are arranged on the top fixing plate. According to the surveying and mapping device for urban and rural road planning, the use comfort is greatly improved through the arrangement of the first damping mechanism and the second damping mechanism, reasonable adjustment can be conducted according to different road conditions through the arrangement of the mud scraping mechanism, in addition, when the device is pushed through the triangular wheel carriers, movement is stable, toppling is prevented, and the device is convenient to use. The operation difficulty is greatly reduced, the surveying and mapping distance can be directly and accurately measured through the arrangement of the electronic measurer and the display, and the surveying and mapping efficiency and precision are greatly improved.

The invention relates to a railway high-precision surveying and mapping method, which is characterized by comprising the following steps: S1, surveying and mapping by an unmanned aerial vehicle, S2, measuring ground engineering, and S3, integrating data and generating a map, the S1 step comprises a preparation stage, a flight and data acquisition step and a control point selection step, the S2 step comprises a ground data acquisition step, and the S3 step comprises a data integration step and a map generation step. The step S3 comprises a data fusion step and a map generation step, comprehensive coverage of a railway line is realized through cooperative work of the unmanned aerial vehicle and the inspection trolley, and detailed surveying and mapping data can be obtained whether in the air or on the ground. The high-definition camera and the RTK technology of the unmanned aerial vehicle and various sensors of the inspection trolley jointly guarantee high precision and reliability of surveying and mapping data. The data fusion technology enables data from different sources to be seamlessly connected, and accuracy and integrity of surveying and mapping are further improved. And finally, the generated railway electronic map is visual and easy to understand, and convenient tools and references are provided for railway planning, design, construction and operation.

The invention relates to the technical field of AR measurement, and discloses a real estate surveying and mapping method and system based on AR, and the method comprises the steps: setting a surveying and mapping control point of a real estate to be surveyed and mapped according to a surveying and mapping site condition, and setting a marker at the surveying and mapping control point; positioning the position of the marker by using AR equipment to identify the space coordinates of the marker in the three-dimensional space, and calibrating the space coordinates of the marker according to the coordinates of the surveying and mapping control point to obtain a target position; collecting and extracting characteristic parameters of the real estate to be measured in the multi-angle image of the real estate to be measured at the target position; according to the characteristic parameters, starting from the initial surveying and mapping point, tracking a surveying and mapping track of the real estate to be surveyed and mapped in real time; after adjustment processing is carried out on the measurement data under the surveying and mapping track, a staple map of the real estate to be surveyed and mapped is constructed; and in combination with the target position and the staple map, surveying and mapping the real estate to be surveyed and mapped to obtain a surveying and mapping result. Real estate surveying and mapping data can be checked in real time, and surveying and mapping efficiency and precision are improved.

The invention discloses an aerial surveying and mapping method based on an unmanned aerial vehicle assembly. The method comprises the steps of surveying and mapping task formulation, surveying and mapping parameter setting, ground control point layout, unmanned aerial vehicle flight shooting, image processing and configuration, data fusion and analysis and result display and application. According to the aerial photography surveying and mapping method based on the unmanned aerial vehicle assembly, the integrated process of aerial photography, data processing and result generation is achieved through the automatic flight and data processing technology, and the efficiency and precision of surveying and mapping are improved. Comprising the steps of image processing and point cloud processing, multiple data sources are comprehensively applied, and rich surveying and mapping data and analysis results are provided. The unmanned aerial vehicle is adopted for aerial photography, has the advantages of high flexibility, relatively low cost and the like, and can be suitable for various surveying and mapping tasks.

The invention provides a texture mapping method, device, equipment, medium and system, and relates to the technical field of texture images. The method comprises the following steps: acquiring a plurality of poses of a first target spot on a scanner tracked by a tracking device, wherein the plurality of poses are tracking coordinates when the scanner collects multi-frame three-dimensional data; according to the plurality of poses, under a preset tracking coordinate system of the tracking equipment, splicing the plurality of frames of three-dimensional data to obtain a three-dimensional geometric model of the target object; obtaining a texture map of the target object collected by texture shooting equipment; performing pose calculation on the texture map based on a preset tracking coordinate system to obtain pose information of the texture map in the three-dimensional geometric model; and mapping the texture map to the three-dimensional geometric model according to the pose information of the texture map in the three-dimensional geometric model to obtain a texture three-dimensional model of the target object. Therefore, manual pre-punctuation is not needed, the texture mapping efficiency is improved, and the texture mapping precision is also improved through full-automatic pose calculation.

The invention relates to the technical field of surveying and mapping instruments, in particular to a surveying and mapping instrument positioning device for engineering surveying and mapping. A fixed base; a positioning bracket; the plurality of pressure sensors monitor pressure data on the mounting platform in real time; the gravity center adjusting mechanism comprises a controller, a balancing weight and a chain mechanism, and the balancing weight balances and stabilizes the actual gravity center position; the chain mechanism comprises at least three length-adjustable chains and at least three length adjusters and is used for adjusting the position and height of the balancing weight; the controller determines the actual center-of-gravity position of the surveying instrument positioning device according to the pressure data, determines a first center-of-gravity model according to the actual center-of-gravity position and the chain length data in the multiple operation processes, and determines the adjustment mode of the actual center-of-gravity position according to the actual center-of-gravity position, the preset center-of-gravity position and the first center-of-gravity model. The gravity center of the surveying instrument positioning device is effectively adjusted.

The invention discloses a multi-unmanned-vehicle cooperative mapping method based on an adaptive particle swarm algorithm, and aims to solve the problem that laser mapping fusion precision is reduced due to existence of dynamic obstacles during cooperative mapping of multiple unmanned vehicles in an indoor environment. The method comprises the following steps: firstly, carrying out feature matching through a self-adaptive local feature point matching region by adopting a joint compatible branch and bound algorithm, and calculating a joint mahalanobis distance optimization matching process of a feature matching hypothesis; secondly, by judging the change between the two frames, removing dynamic obstacles and updating a local map; secondly, optimizing a map fusion problem by adopting a particle swarm optimization algorithm, and searching a conversion matrix with the highest overlapping degree between maps; and finally, in order to prevent the particle swarm optimization from falling into local optimum, map fusion is realized in combination with a simulated annealing algorithm, and the map fusion precision is improved. According to the method, the map fusion problem is converted into the problem of solving the optimal solution by using the adaptive particle swarm algorithm fused with the simulated annealing algorithm, so that the map fusion precision is improved.

The embodiment of the invention provides a data processing method and device, equipment, a storage medium and a computer program product. The method comprises the following steps: splicing a current frame of multi-view observation image into a target image; performing similarity matching on the target image and each historical image, and determining whether a similar frame image successfully matched with the target image exists in each historical image; wherein the historical image is obtained by splicing a plurality of historical observation images; and if the similar frame image exists, determining the pose of the current frame according to the pixel coordinates of the feature points of the current frame multi-view observation image and the three-dimensional coordinates of the corresponding feature points in the similar frame image. According to the embodiment of the invention, the pose can be optimized, so that the mapping accuracy is improved, and the effect of displaying virtual reality is better achieved.

The invention discloses a surveying and mapping data processing method based on a ground penetrating radar and a pipeline instrument, and relates to the technical field of underground pipeline data processing, and the method comprises the steps: obtaining a reflection signal of an underground object, and positioning and recognizing the real-time data of underground pipeline equipment. Meanwhile, the system is also used for receiving feedback suggestions received by the mobile terminal and the PC terminal, combining the data of the ground penetrating radar and the pipeline instrument through a data fusion technology, remarkably improving the recognition rate and surveying and mapping precision of underground objects, and reducing the field operation time and improving the working efficiency through integrating two surveying and mapping technologies. The generated three-dimensional model and report enable the analysis of underground pipelines and objects to be more intuitive, so that related personnel can make decisions conveniently, underground pipeline surveying and mapping data and corresponding analysis results are managed, visualized and stored, underground pipeline data management can be realized through internet cloud management and control, and the data management efficiency is improved. And the intelligent level of underground pipeline data management is improved.

The utility model provides a centering rod with an integrated high-integration inner and outer pipe fixing seat, the centering rod comprises an outer pipe, an inner pipe capable of stretching relative to the outer pipe and the integrated inner and outer pipe fixing seat, and the integrated inner and outer pipe fixing seat comprises a pipe clamping part sleeved on the outer pipe and gradienter mounting parts arranged on two sides of the pipe clamping part; the pipe clamping part comprises an inner pipe clamping part and an outer pipe clamping part, an eccentric locking structure is arranged on the inner pipe clamping part, and a positioning structure is arranged on the outer pipe clamping part. According to the inner pipe and outer pipe fixing seat with the high integrated degree, the centering rod can effectively improve the convenience of locking operation when a user uses the inner pipe and outer pipe fixing seat through an eccentric locking structure, meanwhile, the space occupied by the locking structure of the inner pipe is reduced, and the portability is improved. And the telescopic height of the inner pipe relative to the outer pipe can be effectively limited through the positioning structure, so that the surveying and mapping precision of the centering rod using the integrated inner and outer pipe fixing seat with high integration level is further improved.

This invention discloses a video tag dynamic overlay anti-shake method and system based on AR, comprising: acquiring real-time video stream and device pose parameters at corresponding timestamps; constructing a dynamic perspective projection model based on the device pose parameters and calculating the initial pixel coordinates of the target AR tag in the current video frame; planning a local feature search window based on the initial pixel coordinates; calculating the average pixel displacement vector of image feature points in the local feature search window of the current and adjacent historical video frames; performing reverse displacement compensation on the average pixel displacement vector to obtain the target rendering coordinates, and rendering the target AR tag to the current video frame based on the target rendering coordinates. Compared with the prior art, this invention can overcome the shortcomings of large drift errors caused by simply relying on mechanical pose, high computational power consumption caused by global matching, and high-frequency jitter of tags caused by slight device vibrations, thereby improving tag mapping accuracy, reducing system computational power consumption, and improving the visual stability of video overlay.

The application is suitable for the technical field of unmanned ship, and provides an unmanned ship mapping method, an unmanned ship and a computer readable storage medium, which comprises the following steps: in the process of unmanned ship sailing, a plurality of first position points in a target environment where the unmanned ship is located are acquired by a monocular vision device of the unmanned ship; for any one of the first position points, a bearing angle sequence of the unmanned ship relative to the first position point is acquired by the monocular vision device; positioning information of the first position point is calculated according to the bearing angle sequence; and a map of the target environment is generated according to the positioning information of each first position point in the target environment. Through the above method, the problem that the unmanned ship cannot accurately map due to limited load can be solved.

The invention provides a field mapping method for a vehicle signal, electronic equipment and a storage medium, and the method comprises the steps: obtaining a current vehicle signal of a to-be-mapped vehicle model, determining a signal type corresponding to the current vehicle signal, determining a target model in a plurality of field mapping models which are trained according to the signal type, and carrying out the mapping of the target model, the field information corresponding to the current vehicle signal is determined through the target model, signal field mapping based on the model is achieved, manual comparison of the vehicle signal matrix is not needed, the mapping efficiency and accuracy of the vehicle signal are greatly improved, and therefore the efficiency and accuracy of large-scale vehicle signal integration and analysis can be improved; according to the method, the field information is identified through the field mapping models corresponding to the signal types, the processing efficiency of the vehicle signals can be improved, the processing real-time performance of the vehicle signals is guaranteed, delay is reduced, the different signal characteristics of different signal types are considered, the field information is identified through the field mapping models corresponding to the signal types, and the field mapping precision can be further improved.

The application discloses a robot map updating method, which comprises the following steps: step 1, a robot establishes a current map in a current environment; step 2, the current map is updated according to the angle relationship between the current map and a map stored in a historical map library last time, the updated current map is stored in the historical map library, and the updated current map is updated as the map stored in the historical map library last time, so that the current map established in step 1 is updated; wherein each frame of map stored in the same historical map library represents the current environment.

The invention discloses a topographic survey device for territorial space planning, which comprises a stand column, a swing arm which is arranged on the stand column and rotates on the stand column, a fixing mechanism which is arranged at the upper end of the stand column and is used for fixing surveying and mapping paper, and a punching mechanism which is arranged on the swing arm and is used for punching on the surveying and mapping paper, a supporting wheel matched with the edge of the pit hole is movably arranged on the swing arm, a first sleeve is arranged on the swing arm, the first sleeve is connected with the end of the swing arm through an extension spring, and a supporting mechanism supported on the ground is arranged at the end of the swing arm; during surveying and mapping, the stand column is supported at the bottom of a pit, the supporting wheel is supported at the edge of the pit, under the action of the extension spring, the supporting wheel makes contact with the edge of the pit all the time, the swing arm swings, meanwhile, the punching mechanism moves on the swing arm along with the first sleeve and punches holes in surveying and mapping paper, and the punching track corresponds to the shape of the pit; therefore, accurate equal-proportion surveying and mapping of the pit hole are realized. Cost is low, surveying and mapping efficiency is high, and surveying and mapping precision is high.

The invention discloses a construction management and BIM component intelligent association method based on semantic space analysis. The method comprises the steps that original voice signals are collected and processed; converting the voice signal into text information; performing entity recognition on the text information, and extracting entities; extracting space coordinates and attribute information of the components, and constructing a three-dimensional space index; searching all components in the spatial position range by utilizing a three-dimensional space index, and filtering to obtain candidate components; sorting the candidate components based on the space coordinates and the component types of the candidate components, and generating a mapping relationship between relative sequence numbers and component identifiers; mapping the relative sequence number of the entity into a component identifier by utilizing the mapping relationship; calculating the matching degree of each candidate component in multiple dimensions and the total matching degree to obtain a target BIM component; the detection result and the target BIM component are stored in an associated mode, and the attribute or state of the corresponding component in the BIM model is updated. The information association efficiency and the matching accuracy can be improved.

The invention relates to the technical field of neural network models, in particular to an electrolytic bath health state assessment method based on electrolyte multidimensional characteristics, which comprises the following steps: by calling a graph neural network to aggregate multiple parameter nodes, quantitatively exploring a hidden nonlinear cross correlation effect in multiple physical and chemical indexes to construct a multidimensional topological correlation architecture; the accuracy of multi-dimensional spatial feature mapping is improved by calling a long short-term memory network to superpose an internal department control tensor, comparing norm penalty numerical value separation exceeding extreme value parameters, avoiding the bottleneck of long sequence time sequence feature overlap operation calculation, and controlling a life prediction error root-mean-square extreme value to be within a predetermined security tolerance interval; according to the method, a candidate scalar is separated by splicing cross-dimensional parameter extraction dependency association, prediction and label difference aggregation coefficients are compared to generate an error gradient, the non-planned physical failure shutdown probability is controlled within a minimum tolerance interval, and the smoothness index of a whole life cycle prediction curve and the safety of an operation cycle are improved.

The invention provides a non-contact pupil state monitoring and physical sign data acquisition system. The non-contact pupil state monitoring and physical sign data acquisition system comprises a high-resolution non-contact camera device which is installed within a proper distance and used for capturing high-definition eye images, especially pupil shapes and dynamic changes, when a user opens eyes, the camera device can automatically recognize and track pupil positions of the user, and the camera device is used for monitoring the pupil states of the user. Even if the head of the user slightly moves, the pupil image can still be accurately captured. According to the system, through the high-resolution non-contact camera device and the multi-band infrared light source module, accurate monitoring of the pupil state of the user is achieved, even if the head of the user slightly moves, the camera device can still automatically track the pupil position, and the accuracy of data is ensured.

The invention discloses an image processing method and device based on open vocabularies and a storage medium, and relates to the technical field of three-dimensional mapping, and the method comprises the steps: obtaining an instance region and an instance name corresponding to each first instance object based on a current frame collected by a robot, and inputting the instance region and the instance name into a large language model, obtaining a position relation description text and an object attribute description text for determining the first instance object; acquiring a local point cloud picture and a global point cloud picture of the current frame; searching a first target instance object matched with any first instance object in the global point cloud picture to execute a point cloud merging operation and a text merging operation, and updating the global point cloud picture; the point cloud merging operation is used for merging point clouds of the instance objects; the text merging operation is used for respectively merging the position relation description text, the object attribute description text and the instance name of the instance object. In this way, the mapping precision can be improved, and the environment can be analyzed into a three-dimensional scene graph which is rich in semantics and structured.

The application discloses a kind of based on multi-sensor's grid map two-way asynchronous construction method and system, the method includes: obtaining three-dimensional point cloud data, RGB image and depth map;Based on the space corresponding relation of RGB image and three-dimensional point cloud data, three-dimensional point cloud data is semantically labeled;Three-dimensional point cloud data, RGB image and depth map are timestamped alignment, coordinate transformation and filtering processing, obtain final point cloud data, with semantic point cloud data point cloud data is spatiotemporal alignment generation fusion point cloud data as semantic grid map input;Construct semantic grid map, adopt the two division strategies of front view map and rear view map, by independent thread asynchronous update;Establish motion object database and predict dynamic object motion trajectory based on time sequence prediction algorithm, update in semantic grid map synchronously.The application effectively guarantees the intelligent device obstacle avoidance success rate and path planning rationality, guarantee the operation safety and efficiency under complex environment.

The present invention discloses a surveying and mapping image enhancement system based on unmanned aerial vehicle remote sensing technology and its implementation method. The steps include: S1, autonomously flying and collecting data by carrying optical and thermal imaging sensors on unmanned aerial vehicles; S2, denoising, geometric correction and radiation correction of pre-processed data; S3, using image enhancement algorithms to perform contrast stretching, histogram equalization and edge detection; S4, extracting terrain features from the enhanced image, generating a three-dimensional digital elevation model and a digital terrain map; S5, performing multi-source data fusion, integrating high-precision terrain data into a geographic information system, and supporting map making and spatial analysis. The present invention improves the image resolution and surveying and mapping accuracy of complex terrain areas through multi-sensor fusion and image processing technology, provides detailed and accurate terrain information, supports a variety of applications such as environmental monitoring, urban planning and disaster assessment, and has practical value.

The invention relates to a data integration method and device based on geographic space information. The method comprises the following steps: selecting a to-be-analyzed file, and configuring a geographic space data integration source end and a target end; obtaining metadata of the geographic space data file; performing conversion according to the obtained metadata to obtain a target end field and assembling a table building statement; creating a spatial index of the target end according to the obtained metadata; and segmenting according to the number of geographic space data files, segmenting a corresponding number of subtasks by a manage management node, and concurrently executing file analysis, SQL assembly and data writing operation. According to the method, the geographic space data file is analyzed through the program to obtain the metadata information, the analysis process of files in different formats is unified, the technical background requirement and the learning cost of operators are reduced, the data integration efficiency is improved, and the complexity and the time cost of geographic space data integration are reduced. According to the method, the memory overflow risk is reduced by adopting a block reading mode, and the stability of metadata analysis is improved.

This utility model discloses an irregularly shaped foldable three-axis drone frame and drone device, comprising: an assembly frame structure; a front rotor assembly structure, comprising two sets, the two sets of front rotor assembly structures being respectively and positionably interchangeably mounted on the front two sides of the assembly frame structure, and the rotation directions of the driving rotation ends of the two sets of front rotor assembly structures being opposite to each other; and a rear rotor assembly structure, comprising a single set, extending to the rear of the assembly frame structure, the rear rotor assembly structure having two sets of coaxially arranged driving rotation ends, the two sets of driving rotation ends being opposite to each other. This solves the technical problem in the prior art where drone frames struggle to simultaneously achieve portability and field of view advantages.