46 results about "Data navigation" patented technology

A computer implemented system, method, or computer readable medium for providing a interactive digital tool that permits users to investigate and evaluate financial, trade, and business-related risks. The system, method, or computer readable medium can be configured to include a software engine that identifies risk subgraphs or other subgraph features in accordance with automated traversal based on a set of rules.

The invention discloses a marine surveying and mapping system based on deepwater exploration robot intelligent navigation, and belongs to the technical field of marine surveying and mapping. Comprising a data acquisition module for synchronously acquiring navigation positioning data and submarine topography data through multi-source navigation equipment carried by a deepwater detection robot and submarine measurement equipment; the navigation fusion module is used for realizing self-adaptive fusion of multi-source data and outputting initial pose estimation; the quality control module is used for carrying out quality evaluation and abnormity identification on the real-time surveying and mapping data; the path planning module is used for planning an optimal surveying and mapping path in real time and carrying out online adjustment according to the re-measurement requirement of the quality control module; the fault-tolerant control module is used for realizing multi-level navigation source fault diagnosis, starting a degraded navigation strategy when navigation is abnormal or fails, and ensuring that basic navigation and surveying and mapping functions can still be maintained; and the topographic surveying and mapping module is used for compensating and splicing submarine topographic data in real time by using the pose information provided by the navigation fusion module.

A method and system of providing guidance and information to an end-user during an emergency situation. A network of beacon devices is arranged throughout different rooms of a physical structure, such as a house. When an emergency situation such as a fire is detected, for example via data collected from one or more smart sensors installed in the house, a navigation server can activate the beacon device network. Each beacon device will begin to provide navigation cues such as audio content and / or light display that guide the end-user to the nearest designated exit.

A navigation apparatus includes a remaining charge amount detector, a guidance plan calculator, and a reservation data obtainer. The remaining charge amount detector is configured to detect a remaining charge amount of a storage battery of a vehicle. The guidance plan calculator is configured to calculate a guidance route along which a charging facility is set as a stopover point and a charge amount to be charged at the charging facility. The reservation data obtainer is configured to acquire data on a reservation of the charging facility positioned at a destination. The guidance plan calculator is configured to calculate the guidance route and the charge amount, by changing, based on data on the reservation, the remaining charge amount to be maintained at the time when the vehicle arrives at the destination.

The invention discloses a navigation guiding method and device, equipment and a storage medium, and relates to the technical field of vehicle navigation, and the method comprises the following steps: carrying out text feature extraction on a navigation text to obtain navigation text features, and carrying out visual feature extraction on a vehicle front image to obtain front image features; the navigation text features and the front image features are input into a reference object extraction model for reasoning, navigation guide data are generated, the navigation guide data comprise reasoning process data and a navigation guide text, and the navigation guide text is text data generated after the navigation text is modified or rewritten according to a reference object in the image; and performing vehicle navigation guidance based on the navigation guidance data. Due to the fact that the proper reference object is selected through the model to modify the navigation text provided by the navigation software, a driver can determine the lane where the driver should run more easily according to the reference object, the navigation guiding effect is improved, and the good guiding effect can still be kept even in the face of complex road conditions.

The invention provides a driving information fusion display method and system of a vehicle-mounted central controller and an intelligent instrument, and is applied to the field of data processing. According to the invention, through a preset data synchronization mechanism, the vehicle running state data, the navigation position data and the multimedia entertainment information can be synchronized to the viewing interface of the intelligent instrument and the vehicle-mounted central controller in real time, and the synchronization mechanism ensures the consistency of the data; the phenomenon of data inconsistency caused by transmission delay or different processing speeds of different systems is avoided, meanwhile, the interface layout can be reasonably optimized by judging whether the viewing interface can simultaneously accommodate various data, and if the interface cannot simultaneously display all data, the interface layout can be reasonably optimized by activating a preset data deployment format and rearranging and deploying the data. The limited display space is utilized to the maximum extent, and interface display better meeting the actual driving requirement can be provided for a driver through automatic detection and self-adaptive adjustment of the driving scene.

Embodiments of the present disclosure relate to a system and method used to localize one or more systems using 2D map data. The method may include determining an image location of a representation of a portion of an object in an image corresponding to an environment. In some embodiments, the method may additionally include determining one or more predicted image locations corresponding to the image location of the representation of the portion of the object. The method may additionally include comparing one or more ground plane locations of the portion of the object with the one or more predicted image locations, and determining a cost based at least on the comparison between the one or more ground plane locations and the one or more predicted image locations. Further, the method may include localizing a system to the 2D map data based on the determined cost.

The disclosure regards an insulation-panel installing robot for installing insulation panels on a surface, the robot comprising, a platform, a robotic arm comprising a distal end and a proximal end, wherein the proximal end is attached to the platform, the robotic arm comprising at a distal end a mounting tool configured for installing an insulation panel on a surface, wherein the mounting tool comprises at least two opposite arms hinged by a first hinge at a proximal arm end, and a plurality of sensors, configured to collect position data and / or status data of the robot and / or of the surface, and a control module, wherein the control module is configured to process the collected position data and / or status data from the plurality of sensors and to navigate and control the robotic arm based on the processed data for installing the insulation panels on the surface.

A system, includes a processing system comprising an artificial intelligence (AI) engine. The processing system is configured to receive a set of data from a data source, divide the set of data into one or more subsets of data, transmit the one or more subsets of data to the AI engine, transmit one or more queries to the AI engine to elicit search and identification of one or more responses based on a data set comprising the one or more subsets of data, wherein the one or more responses include a text-based response and a graphical response associated with the text-based response, and transmit the text-based response and the graphical response to a graphical user interface for presentation on a display of an electronic device comprising the graphical user interface.

Systems, methods, and computer-readable media are disclosed for determining obstacle data based on sensor data such as greyscale data and depth data. Based on the obstacle data navigation data may be determined and used by an autonomous vehicle to navigate an environment such as a warehouse or storage facility. The obstacle data may be determined by determining three-dimensional representations of the greyscale data and the depth data and segmented and combining or fusing the three-dimensional representations of the greyscale data and the depth data. The system used to determine the obstacle data may be trained to avoid false obstructions and omitted obstructions.

The utility model discloses a contact type three-dimensional measuring device for pipeline expansion, which belongs to the technical field of speed reducers and comprises a fixed bottom plate, and a scissor support is arranged at the upper end of the fixed bottom plate. The upper end of the scissor support is connected with the sensor base through a second universal ball joint. The upper end of the sensor base is connected with the main pipe; the upper end of the main pipe is slidably connected with the telescopic protection pipe; the upper end of the spring I is connected with the inner top of the telescopic protection tube; the upper end of the telescopic protection tube is connected with the connecting rod through a universal ball joint; the right end of the connecting rod is connected with an abutting block. The right end of the abutting block abuts against the side wall of the detected pipeline. The left end of the connecting rod is connected with the limiting assembly. Through the above mode, the detected pipeline is heated to expand to drive the connecting rod to move through the abutting block, the telescopic protection pipe slides relative to the main pipe, the first spring is compressed, the main pipe transmits the telescopic sliding amount to the sensor base, the data aviation plug transmits the position and angle variation data of the sensor base to the computer, and pipeline expansion data is obtained through calculation.

The invention discloses an underwater dredging robot and a control system, comprising a robot body, a driving mechanism arranged at the bottom of the robot body, a reamer mechanism arranged at one end of the robot body, a hydraulic station and a slurry pump arranged on the robot body, and a control system, the control system comprises a data and image transmission module which collects and transmits underwater environment data and image data in real time; the navigation module is used for monitoring the positioning of the underwater dredging robot and performing path planning on the underwater dredging robot; the posture analysis module is used for monitoring and analyzing the posture state of the underwater dredging robot in real time so as to carry out stability monitoring and early warning; the motion control module is used for generating and executing a motion instruction of the robot; and the energy supply control module manages energy distribution and a power state of the dredging robot.

System for following a closest-to-path vehicle (CIPV, 30) using the movement flow of surrounding vehicles, comprising: a sensor device (210) of a host vehicle (20) that generates data relating to a plurality of vehicles on a drivable area in front of the host vehicle (20); a navigation control (220) which contains a computerized processor capable of being operated to: monitor the data from the sensor device (210); define a part of the majority of vehicles as a vehicle swarm (70); identify one of the several vehicles as the CIPV (30) to be followed; evaluate the data to determine whether the CIPV (30) to be followed exhibits good behavior with respect to the vehicle swarm (70); and If the CIPV (30) to be followed shows good behavior, generate a breadcrumb navigation path based on the data; and a vehicle control system that controls the host vehicle (20) based on the breadcrumb navigation path; wherein the computerized processor can further be operated in such a way as to warn a driver of the host vehicle (20) if the CIPV (30) to be followed does not exhibit good behavior.

The invention provides a communication and navigation integrated signal transmission method based on OCDM, and relates to the field of signal transmission, and the method comprises the steps: obtaining a target transmission symbol sequence carrying navigation data and communication data; generating a group of orthogonal chirp carrier signals divided into a navigation subcarrier block and a communication subcarrier block, wherein the pilot frequency proportion of the navigation subcarrier block is greater than that of the communication subcarrier block; and modulating preset pilot frequency data, navigation data and communication data to the subcarrier signals in the corresponding subcarrier blocks, superposing the modulated subcarrier block signals to obtain a sending signal, and sending the sending signal to a receiving end. Through the mode, integrated transmission of communication and navigation data under a unified signal framework can be realized, the problems of weak cooperative capability and spectrum resource waste of a traditional communication and navigation system are effectively solved, the spectrum utilization efficiency is improved, dynamic balance of communication efficiency and navigation precision can also be realized, and the communication and navigation efficiency is improved. And the flexibility and expansibility of signal transmission are improved.

The invention provides an unmanned aerial vehicle fusion control system based on a CAN bus. The unmanned aerial vehicle fusion control system comprises a sensor module, a main control module and an execution mechanism. The sensor module comprises an inertial measurement unit, a navigation unit, a visual sensing unit and a data transmission unit; an inertial measurement unit configured to collect inertial measurement data; a navigation unit configured to collect GNSS data; the visual sensing unit is configured to collect visual sensing data; the data transmission unit is configured to send inertial measurement data, GNSS data and visual sensing data to the main control module; the main control module is configured to perform fusion processing on the inertial measurement data, the GNSS data and the visual sensing data to obtain target flight data of the unmanned aerial vehicle, and send a first control instruction to the execution mechanism; and the execution mechanism is configured to adjust the flight state of the unmanned aerial vehicle based on the first control instruction and send the state adjustment feedback of the unmanned aerial vehicle to the main control module. Therefore, the flight control efficiency of the unmanned aerial vehicle is effectively improved.

The present disclosure belongs to the technical field of artificial intelligence, and relates to navigation technology in the technical field. Specifically, a navigation path generation method is provided, which comprises: acquiring perception data from at least one sensor, performing feature extraction on the perception data to obtain perception features; acquiring map navigation data, and encoding the map navigation data to obtain road features, wherein the map navigation data comprises navigation path attribute data, the navigation path attribute data is used to indicate whether a road is a navigation path, and the road features comprise a representation of the navigation path attribute data; and obtaining a navigation path based on the perception features and the road features. According to the technical solution provided by the present disclosure, the generation of the navigation path is realized without relying on high-precision, the navigation path can be determined in various complex road topological scenes, and the accuracy and safety of path planning are improved.

A vertical-takeoff-and-landing (VTOL) aircraft includes a plurality of navigation sensors and processing circuitry configured to implement a navigation system. The plurality of navigation sensors is configured to output navigation sensor data. The navigation system is configured to receive road map data, aviation map data, and navigation sensor data and execute an automated emergency landing control module. The automated emergency landing control module is configured to identify a plurality of candidate landing sites using the road map data, the aviation map data, and the navigation sensor data, and select a target landing site from among the plurality of candidate landing sites. Upon detection of an emergency condition, the automated emergency landing control module outputs the target landing site.

The invention discloses a power grid data navigation map construction method and system based on a knowledge graph, and the method comprises the steps: S01, taking power grid equipment as a power grid entity, collecting all business processes and activities experienced in a whole life cycle, building a data flow direction relation between the business processes and the activities, and carrying out the data flow direction relation between the business processes and the activities; an entity-service panoramic view is constructed and formed; s02, according to the entity-service panoramic view, obtaining a data flow direction relationship among each service, system and function module of the power grid entity, and constructing to form an entity-service-system-module relationship view; s03, acquiring a longitudinal association relationship and a transverse association relationship according to the entity-service-system-module relationship view to form a knowledge network; and step S04, defining a knowledge graph according to the knowledge network, and constructing and forming a power grid data navigation graph. According to the method, association and communication among power grid data can be realized, unified data management is facilitated, and the precision and efficiency of data retrieval are improved.

The present invention discloses a method for constructing a data navigation map for a power grid company, including: creating a system menu structure diagram; creating a data resource structure diagram; creating a data relationship structure diagram; creating a data application flow chart, and connecting the data application flow chart with the data source of the data middle station; creating a middle station data automatic acquisition module; integrating a visualization report tool. The present invention constructs a system menu structure diagram, a data resource structure diagram, and a data relationship structure diagram in the manner of business system-menu level-business function point-data table-data table relationship, and integrates data from the data middle station and visualization report tools to establish a data navigation system from the perspective of grassroots front-line business, build a bridge connecting the front-end business data requirements and the system back-end data resources, improve the data tracing efficiency and data use efficiency of grassroots front-line business personnel, and solve the problem that the data of grassroots front-line personnel is difficult to find, difficult to understand, difficult to obtain, and difficult to use.

The present application discloses a data display method, device, equipment and medium, which relate to the technical field of underwater wireless sensor networks. The method is applied to a shore-based platform, by receiving underwater data transmitted by a main base station; wherein the underwater data at least includes detection data, communication data and navigation data of each node in the underwater wireless sensor network; pre-processing the underwater data; transmitting the pre-processed underwater data to a database server, so that the display terminal can obtain the underwater data through the database server and display it. It can be seen that the above scheme directly obtains the underwater data of the underwater wireless sensor network and pre-processes the underwater data, so that the display terminal can better display the underwater environment. It solves the problem of underwater environment visualization, realizes the display of multiple types of data such as communication data, detection data and navigation data in the underwater environment, and restores the underwater scene in real time and realistically.

The invention provides a time processing method, a vehicle and a storage medium, and relates to the technical field of data processing. The method can comprise the steps of obtaining target data; wherein the target data comprises at least one of inertial measurement data and navigation positioning data; obtaining a target duration corresponding to the target data; wherein the target duration comprises at least one of the following items: resolving duration and transmission duration; based on the current time of the control module and the target duration, adding a target timestamp to the target data; wherein the target timestamp is used for representing the generation time of the target data. According to the technical scheme provided by the invention, the problem of how to carry out accurate time service on inertial measurement data and navigation positioning data for a domain controller integrated with an inertial measurement module and a navigation positioning module in related technologies can be solved.

A computer implemented system, method, or computer readable medium for providing a interactive digital tool that permits users to investigate and evaluate financial, trade, and business-related risks. The system, method, or computer readable medium can be configured to include a software engine that identifies risk subgraphs or other subgraph features in accordance with automated traversal based on a set of rules.

Haptic navigation system (10) comprising an electronic device (1) provided with a locating unit (11) and a processing unit (12) to provide data (3) relating to road directions and / or information. The navigation system (10) further comprises a haptic apparatus (2) provided with a control unit (2) to receive data from the processing unit (12) and generate a corresponding actuation signal, and at least two actuators (23) available at a respective driver's upper limb and configured to generate one or more haptic signals at the upper limb it is associated with, in relation to said actuation signal. In particular, each actuator (23) comprises a casing (24) containing the at least one actuator (23) and the control unit (22a, 22b), wherein each casing (24) comprises a shell (26) at least partially surrounding the actuator (23) made of damping material, thereby isolating it from the control unit (22a, 22b).

The present application relates to a positioning integrity monitoring method, a terminal, and a computer storage medium. The monitoring method includes: determining a positioning solution for the current solution state based on the original observation data, navigation message data, and / or correction data of the visible satellites of the GNSS system; performing internal solution separation detection and / or external solution separation detection on the positioning solution of the current solution state; and determining a positioning result and the integrity of the positioning result according to the detection result of the positioning solution of the current solution state. Through external solution separation detection, the present application compares the positioning solutions of different solution states, eliminates positioning anomalies caused by incorrect correction data, and uses an observation aggregation method based on elevation angle, constellation, and residuals to perform internal solution separation detection on the positioning solutions of each solution state. Only a subset of single digits needs to be detected to eliminate positioning anomalies caused by measurement failures, reducing the consumption of computing resources and the false alarm rate, improving the efficiency and accuracy of positioning integrity monitoring, and quantifying the integrity of the positioning result.

The invention discloses a substation abnormal fault navigation training system and training method. The substation abnormal fault navigation training system comprises a main control module, an equipment database module, a navigation display module, a data transmission module, a training simulation module and a power management module. The main control module analyzes the fault message and generates a navigation instruction; the equipment database module is used for storing an equipment topological relation and fault historical data; the navigation display module displays a fault point position and a navigation path in real time; the data transmission module ensures low-delay communication; the training simulation module simulates a fault scene and generates a virtual task; the power management module charges the mobile terminal. According to the method, fault processing and training are realized by matching a fault mode, generating a navigation path, guiding operation and maintenance personnel and performing training simulation. According to the invention, the fault processing efficiency and training effect of the transformer substation are improved, and the practical value is high.

The invention disclosed herein is entitled "Method and Product for Calculating Urban Transportation Carbon Emissions Based on Mobile Phone Signaling Data." This disclosure proposes a novel scheme for inferring urban transportation travel patterns and calculating their carbon emissions, which includes key steps such as trajectory segmentation, travel pattern recognition, OD matrix expansion, and carbon emission calculation correction. Unlike traditional urban transportation carbon emission calculation technologies, this disclosure overcomes the limitations of existing travel pattern recognition and carbon emission calculation technologies by introducing multi-source, multi-modal data fusion technology. It encompasses the rational use of mobile phone signaling data, traffic survey data, navigation software data, etc., thereby obtaining more accurate carbon emission calculation results.

A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to transmit a set of sustainability data to a computer vision model for extraction into a textualized set of sustainability data, divide the textualized set of sustainability data into one or more subsets of textualized sustainability data, transmit the one or more subsets of textualized sustainability data to an artificial intelligence (AI) model, transmit at least one instruction to the AI model to elicit summarization the one or more subsets of textualized sustainability data into a summarized dataset, and transmit one or more queries associated with report navigation to the AI model to elicit search and identification of one or more responses based on the one or more queries wherein the report navigation includes navigation of the summarized dataset to provide the one or more responses.

An end-to-end lane detection uncertainty prediction system that includes the following: a sensor device for a carrier vehicle that can be operated on a road surface within a driving environment including lane markings, wherein the sensor device is operable to generate data relating to the road surface within the driving environment; a navigation control system that includes a computer-based processor capable of being operated for: Monitoring the data, including an input image from the sensor device; Using a convolutional neural network to analyze the input image and output a lane prediction and a lane uncertainty prediction; and Generating a commanded navigation display based on lane prediction and lane uncertainty prediction; and a vehicle control system that controls the carrier vehicle based on the commanded navigation display; the neural convolutional network is initially configured using an association and The training focuses on error calculation per point, with the association and error calculation per point including the following: First, mapping a selected basic truth track to a selected set of data points that are related to a predicted track, and Secondly, mapping at least one point of the selected basic truth track to a corresponding data point from the selected set of data points relating to the predicted track.

The embodiment of the application provides a LEO satellite real-time clock difference estimation method, device and medium, wherein the star-borne observation data of the LEO satellite, the orbit of the navigation satellite and the clock difference of the navigation satellite are acquired; the orbit prediction is performed according to the star-borne observation data, and the predicted orbit of the LEO satellite is obtained; the geometric distance between the LEO satellite and the navigation satellite is obtained according to the predicted orbit of the LEO satellite and the orbit of the navigation satellite; the satellite observation equation is constructed according to the star-borne observation data, the geometric distance and the clock difference of the navigation satellite; the satellite observation equation is solved, and the real-time clock difference of the LEO satellite is obtained; the satellite observation equation is obtained by fixing the predicted orbit of the satellite, the solving of a large number of dynamic parameters in the process of solving the satellite observation equation is avoided, the number of to-be-estimated parameters in the satellite observation equation is reduced, and the satellite clock difference solving efficiency is improved.

A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to transmit a set of sustainability data to a computer vision model for extraction into a textualized set of sustainability data, divide the textualized set of sustainability data into one or more subsets of textualized sustainability data, transmit the one or more subsets of textualized sustainability data to an artificial intelligence (AI) model, transmit at least one instruction to the AI model to elicit summarization the one or more subsets of textualized sustainability data into a summarized dataset, and transmit one or more queries associated with report navigation to the AI model to elicit search and identification of one or more responses based on the one or more queries wherein the report navigation includes navigation of the summarized dataset to provide the one or more responses.