52 results about "The Map Library" patented technology

The invention discloses a surface feature symbolization method for realizing map library integration. The method comprises the following steps: S1) configuring a symbol library template; S2) defining surface feature symbols, and describing shapes of the surface feature symbols by description statements; S3) uploading and analyzing the symbol library template on a drawing platform; S4) symbolizing the drawn surface features in real time; S5) editing continuation attribute values of the surface feature symbols by using an attribute control panel; S6) fine adjusting the shapes of the symbols by setting characteristic points; S7) when data is input to a database, creating feature classes and inputting information according to the corresponding relation of the surface feature symbols and the feature classes in a GIS (Geographic Information System) table. The invention adopts the symbolization protocol rules in the symbolization technology: all the surface feature symbols are formed by nesting basic entities, and in the instantiation process of the surface features, only one feature is needed for precise expression. According to the method, the storage space needed by the symbols is greatly reduced, the generation of extra auxiliary symbols and entities is avoided, and the map library integration is truly realized.

This invention discloses a multi-person synchronous on-line situational role-play English study system and a method. The system includes ten modules of a situation map library, an object library, a matter library, a role data library, An English sentence pattern and grammar library, an English dictionary library, a multi-person image/voice synchronous browsing platform, a multi-layer real-time image composition, a study result analysis. This system provides a virtual English study group system by the network multi-person synchronous on-line property and multi-layer object real-time composition technology and helps users to play different roles to learn correct English sentence patterns and grammar in different situations.

The invention discloses an intelligent factory security situation and emergency command information visualization system, which comprises a factory security information and emergency response data center, a factory security situation analysis and emergency command linkage platform, and a factory security situation and emergency command information visualization interface, wherein the factory security information and emergency response data center receives real-time acquired data from a security information real-time database, structured predetermined plan database and workflow model library information and visual icon library and map library information; the factory security situation analysis and emergency command linkage platform tracks the data transmitted from the factory security information and emergency response data center in real time, carries out accident evolution situation analysis, and gives an emergency predetermined plan instruction according to the accident analysis result; and the factory security situation and emergency command information visualization interface is used for issuing the accident evolution situation and the predetermined plan instruction. The visualization system of the invention can realize factory security information multi-scene visualization and predetermined plan visualization, and the factory security rescue decision visualization level and the efficiency can be enhanced.

The invention discloses an unmanned aerial vehicle obstacle avoidance method, and belongs to the unmanned aerial vehicle navigation field. The unmanned aerial vehicle obstacle avoidance method includes the following steps: S1, installing a laser and a satellite positioning receiver on an unmanned aerial vehicle; S2, during the flying process of the unmanned aerial vehicle, acquiring the information of obstacles surrounding the unmanned aerial vehicle through the laser; S3, importing a three-dimensional map library into an information processing module of the unmanned aerial vehicle, performingcoordinate transformation on the acquired obstacle information, and searching a three-dimensional map of the target area from the three-dimensional map library; and S4, according to the three-dimensional map of the target area, re-planning the flight route and realizing autonomous obstacle avoidance of the unmanned aerial vehicle. The unmanned aerial vehicle obstacle avoidance method aims at overcoming the deficiency that a current unmanned aerial vehicle obstacle avoidance technology is hard to accurately avoid obstacles autonomously, and provides an unmanned aerial vehicle obstacle avoidance method which can implement accurate autonomous obstacle avoidance.

The invention discloses an automatic driving key scene generation method based on reinforcement learning, and the method comprises: 1), selecting a road scene from a map library, setting a driving route of a main vehicle in a simulation system, and building a probability model for each dynamic environment element; 2) controlling the main vehicle by the simulation system to start to execute a simulation task, and, based on a reinforcement learning technology, training the probability model of each dynamic element in the selected road scene to obtain an optimal parameter of each probability model for the selected road scene, and storing the optimal parameter in a test case library; 3) circulating the steps 1-2) to obtain optimal parameters of each probability model for each road scene in the map library; 4) obtaining a plurality of road scenes from the map library, combining the road scenes to obtain a test map, and selecting dynamic elements required in a simulation environment; and 5) importing the probability model of each dynamic element contained in the test map and the corresponding optimal parameter from the test case library, and generating a key scene test case.

The invention discloses a brain white matter high signal detection and positioning method based on multiple maps. The method comprises the following steps of firstly, establishing a multi-map libraryby using FLAIR data of brains of normal old people; secondly, registering the maps in the map library to a target image one by one, and using a multi-map fusion algorithm for fusion; and finally, realizing image segmentation according to a fusion result, and automatically detecting voxels with local abnormal intensity as white-quality high signals. According to the method, the while the brain white matter is segmented, the white matter high-signal area is also detected and positioned, the area is well matched with a manual description result, the higher accuracy and the precision are achieved,and the effect is superior to that of other white matter high-signal detection methods at present.

The invention provides an unmanned aerial vehicle scene matching and positioning method based on improved ORB feature point matching. The method comprises: defining the scale of the image as a function; taking a local extreme point of the scale space as a candidate feature point; screening the extreme points obtained in the scale space; calculating the direction of ORB feature points by using a gray centroid method; calculating the moments in the radius r range of the feature points as the centroid, taking the vector between the feature points and the centroid as the direction of the feature points, matching the feature points by using the Hamming distance, and considering that the Hamming distance of the feature points on the two images is smaller than a set threshold value, namely, the matching point. According to the method, the original ORB algorithm is improved, so that the defect that the original ORB does not have scale invariance is overcome, the rapid calculation capability ofthe ORB is reserved, and the rapid matching capability can be achieved when the scale of the image obtained by the unmanned aerial vehicle and the scale of the image pre-stored in the map library arechanged.

The invention discloses a rapid relocation method for a large-scale mapping scene based on a point cloud, and belongs to the technical field of robot automatic driving, and the method comprises the steps: carrying out mapping by using an SLAM technology, in the mapping process, generating a key frame of a 3D point cloud, a corresponding ring-domain feature vector library and a multi-resolution sub-map library, and carrying out the data preprocessing; the data preprocessing comprises the following steps: calculating the score of each node in the tree structure of the multi-resolution sub-map, and generating a node score database; starting repositioning, and performing ring-domain feature vector matching by using sensor data at the current moment to obtain a candidate sub-map library; obtaining the optimal sub-map and the initial pose value of the carrier from the candidate sub-maps; and performing fine matching in the optimal sub-map to obtain a final relocation result. According to the method, the problems that real-time positioning can only be realized by depending on the support of an external environment in the prior art, or the operation data volume is too large during real-time positioning, and the method is not suitable for real-time positioning of a large-scale mapping scene are solved.

The invention proposes a relocation method and device, a server and a mobile terminal. The method comprises the step that the server calls a location component interface to notify the mobile terminal to start a location component for relocation when the server is informed that the mobile terminal fails to locate. The location component is required to call a map library interface to determine the location information of the mobile terminal on the map library during the relocation process. The server simply needs to directly call the location component interface according to the operation action of a user in an application program to start the location component in the application program. The application program of the mobile terminal directly sends the acquired location information back to the server. According to the invention, the relocation of the application program of the mobile terminal after failed first location is realized without issuing an upgrade package of new version and restarting the application program.

The invention discloses a method for locating the acupoint based on label point projection. A standard human body acupoint display model with label points is manufactured, and is stored in a map library 1. Labels are attached to the position, corresponding to the label points, of the body surface of a user, and a picture is taken and stored in a map library 2; when the acupoint needs to be located, the label points on the model in the map library 1 coincide with the labels of the actual body surface after being subjected to image registration, and then the acupoint can be precisely located. The limbs do not need to be adjusted, and the acupoint of the body surface can be dynamically displayed in real time. The method is convenient to use, easy to operate and high in accuracy.

The invention discloses a method for sharing frontier defense control element service information to spatial data, which is based on a GIS (Geographic Information System) and comprises the following steps that: a client loads a tile layer by using an appointed map library; The instruction is uploaded to a network server through a request analysis module, a processing result packaging module, a WPSservice calling module and a state operation module of a core data processing layer; After comparison of a local spatial database in the WPS server, a spatial processing service is completed throughthe spatial data layer processing module, and a special data service on the business server is completed through the WFS or WMS or WCS data request module and the service state providing module. The invention provides a method for sharing service information of special factors such as front-end equipment into spatial data, different GIS platforms do not need to perform corresponding system equipment interface protocol development, and the service information of the special factors of the front-end equipment can be separated from the front-end equipment and can be distributed to the different GIS platforms for use along with the shared spatial data information.

The invention discloses a robot business map library creation method and device and a storage medium, and the method comprises the steps: carrying out the expansion of state information and space information corresponding to an indoor scene map indow GML model, and obtaining a map element corresponding to a robot storage business; setting a corresponding element label for the map element corresponding to the robot storage service, and setting an association relationship between different map elements based on the element label; based on the map elements and the corresponding element tags, expanding a space layer of the indow GML model to obtain map dimension information of different map layers of a storage service map corresponding to the robot storage service, and creating a business map library containing the map elements, the element tags and the map dimension information. The use convenience of the map based on the indow GML is improved.

The invention discloses a graph Schema storage method and device, computer equipment and a storage medium, and belongs to the field of computer application, and the method comprises the steps: carrying out the extraction processing of pre-obtained resource data, obtaining a graph Schema, wherein the graph Schema comprises a plurality of concepts, and the superior and subordinate relationships andpointing relationships between the concepts; respectively expressing the map library name of the map Schema and each concept as nodes, and storing the nodes into a preset map database; and based on the nodes represented by the concepts, storing the superior-subordinate relationship between the concepts and the pointing relationship between the concepts in a graph database in a relationship mode. According to the method and device, the top-layer design Schema description of the knowledge graph is stored by utilizing the graph database, so that the problem of complex recursive query of multi-level father-son relationships in the relational database can be avoided, the Schema storage problem of the knowledge graph is solved, the knowledge graph call return capability is improved, and the performance cost of repeated splicing is reduced.

The invention relates to a road positioning method and device, computer equipment and a storage medium. The method comprises the following steps: matching a plurality of first matching roads from a map library according to corresponding position information of a vehicle at the current moment; determining observation probability distribution of the vehicle on a plurality of first matching roads corresponding to the position information according to road information collected by the vehicle through a plurality of sensors at the current moment, and adding the observation probability distribution corresponding to the current moment to a probability distribution set; determining a state transition matrix corresponding to the current moment and the previous moment according to relevance between a plurality of first matching roads corresponding to the current moment and a plurality of second matching roads corresponding to the previous moment, and adding the state transition matrix to a state transition matrix set; constructing a hidden Markov chain model according to the probability distribution set and the state transition matrix set; and determining the road where the vehicle is located at the current moment through a hidden Markov chain model. By adopting the method, the road positioning precision can be improved.

The invention discloses an intelligent campus auxiliary system based on webgis, which comprises a webgis module, a data interaction module, a space matching module, a three-dimensional modeling unit,a campus map library, an education plan obtaining module, a controller, a management interaction module, a GPS module, a sub-controller, a display module and a request initiating module. The inventioncan accomplish the three-dimensional map of the newly-built campus through the webgis module, the three-dimensional modeling unit and the space matching module, and is convenient to view the concretebuilding information of the campus from the map intuitively. Through the setting of the campus map database and the management interaction module, the invention can update the campus three-dimensional map, and the request initiation module can carry out real-time navigation when the freshmen just enter the school. By setting up the request initiation module, the campus map database and the education plan obtaining module, students can easily find the spare classroom to participate in self-study. The invention is simple and effective, and easy to apply.

The invention discloses an urban environmental protection partition maintenance auxiliary system based on big data. The urban environmental protection partition maintenance auxiliary system comprises a map library, a region acquisition unit, a region division unit, a comprehensive matching unit, a capability conversion unit, a data selection unit, a human resource library, a processor, a display unit, a storage unit, a feedback adjustment unit and a management unit. The area acquisition unit is used for extracting maps in a map library to obtain cleaning areas responsible for corresponding units; automatically acquiring a map of the region, marking the map as a target region map, and transmitting the target region map to a region division unit, the region division unit receiving the target region map transmitted by the region acquisition unit, the region division unit being used for performing region division on the target region map, and obtaining the total cleaning area of the target area map.

The invention relates to an automatic driving system and method based on a big data map library. The automatic driving system based on the big data map library comprises a positioning system, an identification system, a vehicle body, a control system and a cloud server. The cloud server comprises a map library, a receiving and transmitting end A, a management server, an application server and a cloud computer group, the map library comprises a three-dimensional route model from a departure place to a destination, the positioning system and the recognition system are electrically connected with the control system, the control system comprises a receiving and transmitting end B, and the cloud server is used for receiving signals of the control system and transmitting the signals to the application server according to position signals of the positioning system. And calling vehicle body position map library information and sending an instruction to the control system for execution. According to the automatic driving system and the driving method based on the big data map library, the current vehicle body driving environment can be truly simulated by utilizing the computing power of the cloud server and the three-dimensional modeling travel of the big data map library and comparing and recognizing the system data, and the data of the cloud server map library can be updated in time.

The invention discloses a visual SLAM positioning method and device fusing MSCKF and graph optimization. The method mainly comprises the steps of obtaining a current image and inertial data in real time, carrying out the tracking of a plurality of feature points on the current image based on the current inertial data, inputting the information of the plurality of feature points and the inertial data into a filter, carrying out filter prediction and updating, and outputting the current pose, the information of key frames and the information of the plurality of feature points; extracting a target key frame from the key frame queue, processing the key frame, and performing loopback detection on the target key frame; if the loopback detection fails, updating a plurality of map points, the target key frame and the common-view relationship thereof into a map library; and if the loopback detection is successful, performing global optimization on the key frame pose and the map points by using a global beam adjustment method, feeding back an optimization result to the MSCKF for state fusion, and updating the key frame pose and the map points in a sliding window.

The invention provides an atmospheric monitoring method and system based on a multi-rotor unmanned aerial vehicle, and relates to the technical field of atmospheric monitoring. The method comprises the following steps: converting range information into a three-dimensional map library and importing the three-dimensional map library into the unmanned aerial vehicle; dividing the monitoring area into a target area according to a preset rule, and searching a three-dimensional map corresponding to the target area in the three-dimensional map library; and performing coordinate conversion on the obstacle position to obtain an obstacle coordinate in the three-dimensional map library; distributing the unmanned aerial vehicles according to the number of the target areas, and planning a flight monitoring route in the corresponding three-dimensional map according to the target area range and the obstacle coordinates; and acquiring atmospheric state parameters and remote sensing images of the target area, and transmitting the atmospheric state parameters and the remote sensing images to a ground station in real time. The low application efficiency of the unmanned aerial vehicle due to the fact that the working capacity of the single unmanned aerial vehicle is limited by factors such as endurance time, load weight and environmental conditions is avoided, and therefore the atmospheric monitoring task is completed through the unmanned aerial vehicle so as to comprehensively know the dynamic condition of the atmospheric environment.

This application discloses a map generation method and apparatus, an electronic device, and a computer storage medium. The method includes: selecting a plurality of sub-level maps from a sub-level map library; sequentially placing first M sub-level maps of the plurality of sub-level maps in a predetermined map region, the first M sub-level maps being all located in the map region, and the first M sub-level maps not overlapping with each other; and sequentially placing the remaining sub-level maps not to overlap with the sub-level maps placed in the map region and to be connected to at least one of the sub-level maps placed in the map region, to obtain a target map.

The invention discloses a method and a device for generating a test case of an unmanned system. The method comprises the following steps: acquiring simulation elements and simulation parameters of the simulation elements; generating a test case by utilizing the simulation parameters of the simulation elements, wherein the simulation elements and the simulation parameters of the simulation elements are selected or edited by a user through a front end, and the simulation elements comprise a map library, unmanned system route customization, dynamic elements, static elements and/or traffic rule elements. According to the method and the device, the simulation elements and the simulation parameters of the simulation elements are selected or edited through the front end, and the server generates the test case by utilizing the simulation parameters of the simulation elements, so that the interactivity and editability of constructing the test case are enhanced.