21 results about "Data navigation" patented technology

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.

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 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.

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 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.

A computer-implemented method of presenting a graphical user interface (GUI) includes receiving an indication of a data object related to an enterprise and identifying one or more data classifications related to the data object and one or more relationship types between the data object and the one or more data classifications. Additionally, the computer-implemented method includes generating and presenting the GUI via a client device. The GUI includes a central section indicating the data object and one or more sections disposed around the central section. The one or more sections indicate the one or more data classifications and the one or more relationship types between the data object and the one or more data classifications.

This invention discloses a BeiDou information access method and device for aerospace flight control, belonging to the field of flight control technology. The method includes: S1. BeiDou information access: including redundant reception and push; S2. Unified data interface format specification: defining standard data formats, unifying time fields and interaction protocols; S3. Adaptive weighted fusion orbit determination: performing quality assessment on telemetry data and BeiDou navigation and positioning data, dynamically selecting the best data and performing weighted fusion; S4. Maintaining the validity of the BeiDou group. This invention designs and standardizes three types of data formats: telemetry data, navigation and positioning data, and short message source code data, and proposes an orbit determination fusion optimization strategy based on an adaptive weighted fusion algorithm. This achieves dynamic quality assessment and fusion processing of multi-source position and velocity information, improving the scientific nature and operability of the fusion processing; and ensures long-term validity of group communication through a group activity maintenance method combining periodic multicast and status monitoring.

The invention discloses a power generation point selection method, device and equipment for an extended-range vehicle and a storage medium, and relates to the technical field of new energy automobiles, and the method comprises the steps: obtaining real-time state data, navigation path information, a load-vehicle speed-power relation graph and a power NVH mapping table of the vehicle, the real-time state data comprises the electric quantity and the load of the power battery; screening the power NVH mapping table according to a preset screening standard to obtain a target power generation point mapping table, wherein the target power generation point mapping table is a mapping table of power, target power generation points and NVH; determining the current required power according to the navigation path information, the electric quantity of the power battery, the load and the load-vehicle speed-power relational graph; and selecting a target power generation point according to the target power generation point mapping table, the current required power and the electric quantity of the power battery. According to the method, the comfort and the adaptability of the vehicle are improved by constructing a multi-dimensional optimization screening strategy.

Method (100) and apparatus for providing a route for a vehicle comprising a step of receiving (110) data from the vehicle, including a request to calculate the route, a starting position and a destination position of the vehicle, and information about the vehicle's sensor equipment; a step of reading (120) a navigation map with position-dependent quality values ​​that describe the information content of the navigation map at these positions; a step of calculating (130) the route for the vehicle based on the received data and the navigation map, such that the quality of the navigation map is increased by an overall enhancement value as the vehicle travels along the route, based on newly acquired sensor data from the vehicle; a step of transmitting (140) the route to the vehicle; and a step of storing (150) the overall enhancement value in a database.after the vehicle has driven the route.

The invention discloses a data index customized display system and method based on a graph editing engine, and relates to the technical field of data visualization and management, and the system comprises a business map module which is used for macroscopically displaying the process classification of company data assets and providing an entrance for jumping to a data map; the data map module is used for displaying a data asset structure and an association relationship in a specific business process in detail and supporting deep navigation and data viewing; and a graph editing engine module. According to the data index customized display system and method based on the graph editing engine, the problems that in an existing data asset visualization technology, a data asset panoramic structure cannot be visually displayed, data navigation and retrieval are inconvenient, interaction experience is poor, data dynamic updating is not timely and the like are solved, asset panoramic display is achieved, and the user experience is improved. The user can conveniently and quickly carry out data navigation and retrieval, the interaction experience of the user is improved, and deep data management and operation work of the system user is supported.

An apparatus or system for monitoring a network communication system onboard a vehicle includes control circuitry configured to obtain location data for a plurality of vehicles within a geographic area, and generate graphical interface data representing a map of the geographic area and vehicle icons at positions on the map corresponding to respective geographic locations of associated vehicles. In response to user input associated with a vehicle icon, graphical interface data is generated representing a vehicle identifier and a trip identifier. In response to user input associated with the vehicle identifier, graphical interface data is generated representing the set of vehicle data, including communication service data for a communication service provided on the vehicle. In response to user input associated with the trip identifier, graphical interface data is generated representing the set of trip data, including communication service data related to a trip.

A computer-implemented method of presenting a graphical user interface (GUI) includes receiving an indication of a data object related to an enterprise and identifying one or more data classifications related to the data object and one or more relationship types between the data object and the one or more data classifications. Additionally, the computer-implemented method includes generating and presenting the GUI via a client device. The GUI includes a central section indicating the data object and one or more sections disposed around the central section. The one or more sections indicate the one or more data classifications and the one or more relationship types between the data object and the one or more data classifications.

The application relates to a robot state determination method, device, controller and robot. The method comprises the following steps: acquiring a navigation map, the navigation map being constructed based on environment data collected for the robot; in the process of movement of the robot based on the navigation map, tracking the state based on multi-dimensional sensor data collected by the robot at a historical time to obtain a predicted pose state of the robot at a current time; determining an observation update quantity corresponding to each dimension of sensor data based on the multi-dimensional sensor data collected by the robot at the current time, the navigation map and the predicted pose state; and correcting the predicted pose state based on the observation update quantity corresponding to each dimension of sensor data to obtain a target pose state of the robot at the current time. The method can improve the positioning accuracy of the robot.

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.