229 results about "Global position system" patented technology

A method to optimize human resource management within emergency medical services (EMS) according to one approach may have the steps of: receiving inputs from at least one or more the data sources such as traffic conditions, weather, incident location of emergency or non emergency call, call type, dispatch type, latitude and longitude of incident location, age, sex, chief complaint, incident date and time, holiday, day of the week, call classification, emergency department population status, incoming EMS service requests, and the like and combinations thereof; providing a scheduling module for building one or more predictive assessment values; the scheduling module outputting automatically a suggested scheduling template; employing one or more machine learning models to generate the one or more predictive assessment values that relate to the comparison of the inputs of the evolution of data over a time interval using machine learning; employing a global positioning systems (GPS) device to provide geo-location information of EMS equipment.

The invention relates to the technical field of ship navigation early warning, and discloses a ship direction monitoring and early warning integrated platform which comprises a ship speed acquisition unit, a ship course angle data acquisition unit, a ship navigation data analysis unit and an early warning unit. According to the ship direction monitoring and early warning integrated platform, early warning is carried out on the ship navigation direction and the navigation state by integrating the wind speed, the water flow speed and the noise data in the navigation process in the current navigation environment, the risk and the course deviation angle in the navigation process can be obtained at the same time, and under the severe navigation condition, the ship direction can be monitored and early warned. The method can still accurately obtain the current ship navigation risk and course deviation, and avoids the situation that the position information and the navigation state of the ship are acquired in real time only by means of sensors such as radar and a global positioning system (GPS), and the early warning effect is affected due to delayed data transmission possibly caused by network delay or signal interruption under the severe navigation condition. And therefore, accurate early warning can be made in a better way in a variable navigation environment.

The invention discloses an alpine grassland no-tillage restoration suitability evaluation method based on a 3S technology, and particularly relates to the technical field of data processing. Through the combination of multi-temporal satellite images and global positioning system data, the spatial dynamic change of the frozen soil layer of the alpine grassland and the long-term influence of the spatial dynamic change on vegetation growth are accurately obtained, and a frozen soil layer depth and distribution dynamic monitoring model is constructed based on multi-source remote sensing data and historical weather and soil temperature and humidity data. Analyzing the influence of freezing and thawing alternation on plant root growth; establishing a vegetation recovery potential index and a soil moisture supply index by combining the vegetation coverage and the dynamic change of the frozen soil layer, and generating a suitability partition map through a GIS spatial analysis and analytic hierarchy process; through field sampling and long-term vegetation growth monitoring data verification and model optimization, the accuracy of no-tillage restoration suitability evaluation is remarkably improved, and scientific and accurate decision support is provided for ecological restoration of alpine grassland.

The invention relates to the technical field of soil humidity prediction, and discloses a high-precision soil humidity prediction method based on a space-time convolutional neural network coupling model, which comprises the following steps of: deploying soil humidity detection equipment with a GPS (Global Position System) function to obtain measured soil humidity data of different depths of a target area, and obtaining a satellite remote sensing image of the target area; after the image is corrected, humidity data of the whole area is obtained, and errors of remote sensing humidity data are corrected through sensors and earth surface factors. According to the regional soil humidity dynamic monitoring method based on multi-source data fusion and deep learning, limitation caused by a single data source is avoided by fusing a soil humidity sensor carrying a GPS and satellite remote sensing data, and the monitoring precision of soil humidity is improved by introducing earth surface factors to correct remote sensing data. The result shows that the early warning forecast accuracy is not lower than 90%. Utilizing a machine learning model to expand measured data of the humidity sensor, and predicting humidity change of a certain time window in the future.

A device may include a radome. A device may include a spacer coupled to the radome. A device may include a first antenna element formed on a first printed circuit board (PCB) and configured to be housed by the radome, wherein the first antenna element is a multi-band antenna element comprising: one or more low-band radiating elements, one or more mid-band radiating elements; and one or more high-band radiating elements. A device may include a second antenna element formed on a second PCB and configured to be housed by the radome, the second antenna element comprising one or more WiFi antenna elements. A device may include a third antenna element formed on a third PCB and configured to be housed by the radome, the third antenna element comprising one or more global positioning system (GPS) antenna elements.

The invention relates to the technical field of farm irrigation, in particular to a multi-source fusion and V2X networked vehicle high-precision positioning system and method, and the system comprises a vehicle-mounted terminal which integrates the following modules: a multi-source sensor group which comprises a laser radar (LiDAR), a binocular vision camera (BVC), a global positioning system (GPS), an inertial measurement unit (IMU) and a wheel speed sensor; the V2X communication module supports vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication and is used for receiving positioning data of an adjacent vehicle and roadside equipment; the system effectively solves the problems that in the prior art, a traditional RTK technology depends on a ground base station, a positioning blind area exists in a signal shielding area, data conflicts are easily caused by independent work of multiple sensors, RTK needs to be covered and supported by dense base stations, and the positioning accuracy is poor. And high-precision positioning cannot be realized in signal shielding scenes such as remote areas, tunnels and mountainous areas, so that an automatic driving function fails.

The invention discloses a high-speed long-flight AI adaptive unmanned aerial vehicle guidance optimization method which comprises the following steps that multi-source sensing data of a target area are collected in real time through a multi-mode sensor, and the multi-mode sensor comprises a thermal imaging module, a visible light camera module, an inertial measurement unit and a global positioning system; performing dynamic target identification and tracking on the multi-source sensing data acquired in the step S100 based on a deep neural network; generating an optimal attack path in real time through a reinforcement learning algorithm according to a motion track prediction result of the target in combination with flight state data of the unmanned aerial vehicle and environmental constraint conditions; and when the target enters the preset strike range, triggering an AI terminal guidance function. The method has the following advantages and effects: the autonomous combat ability of the unmanned aerial vehicle in a complex dynamic environment is greatly improved, real-time target identification, path planning and attack optimization of the unmanned aerial vehicle in a complex battlefield environment are realized, and the combat efficiency and precision are improved.

The invention provides an unmanned aerial vehicle complex environment positioning system and method based on double laser radars, and the system comprises a positioning data frame construction module which is used for constructing a multi-sensor fusion positioning data frame based on the double laser radars installed on an unmanned aerial vehicle in combination with an inertial measurement unit (IMU), a global positioning system (GPS) and a visual sensor; the degradation environment detection module is used for carrying out degradation environment detection on a preset complex environment based on a degradation environment detection algorithm and optimizing a positioning data framework based on a degradation environment detection result; the data processing module is used for filtering the positioning data in the optimized positioning data framework based on a point cloud filtering algorithm and an ICP algorithm and performing fusion registration and pose estimation to obtain the pose of the unmanned aerial vehicle and an environment map; and the positioning module is used for obtaining a positioning result of the unmanned aerial vehicle in a preset complex environment based on the pose of the unmanned aerial vehicle and the environment map. According to the invention, high-precision positioning and map construction in a complex environment can be realized.

Disclosed herein are systems and methods utilizing an application that utilizes the hardware and software capabilities of a mobile device to extend the time of user engagement. The hardware and software capabilities of the mobile device that are utilized can include gaze tracking, requiring user engagement for award redemption, requiring two-device confirmation in a trading system, blockchain tracking, geo-location reminders, Global Positioning System (GPS) reminders, and combinations thereof.

Wearable electronic devices can be equipped with global positioning system (GPS) location sensors that can be used to determine its latitude and longitude coordinates. The device can include a magnetometer sensor to determine its direction on a digital compass. The device can be used to configure the location of a GPS boundary. The size and shape of the boundary can be configured on either the wearable device or a separate computing device. The wearable device can be either inside of a boundary or outside of a boundary. The boundaries can have assigned priority levels that may determine the information displayed on the device. The device can traverse boundaries of different priority levels that may determine the information displayed on the device. The device's boundary status can be relayed to a server for data processing.

Systems and methods for inspecting aircraft via an unmanned aerial vehicle (UAV) system are disclosed. In some implementations a system, comprises an unmanned aerial vehicle (UAV) and a computing system configured to establish a coordinate system in a space exterior to the aircraft in a global positioning system (GPS) denied environment. The system also has a controller configured to navigate the UAV along a flight path proximate to a surface of an aircraft according to the established coordinate system and a camera configured to obtain image data. A light detection and ranging (LiDAR) sensor is configured to obtain LiDAR sensor data of an inspection location on the surface to determine a presence of damage.

According to one embodiment, an information processing device includes a hardware processor. The processor calculates an error variation indicating a variation in error between a first absolute position of a mobile object and a relative position of the mobile object. The first absolute position is based on a global positioning system (GPS). The relative position is based on information other than the GPS. The processor calculates at least one section on a map in which the error variation is equal to or less than a first threshold value. The processor calculates a second absolute position on the map such that a constant difference loss becomes smaller. The constant difference loss is used for causing a difference between the first absolute position and the second absolute position to be constant for each of the sections.

The invention discloses an ephemeris data storage indexing method and equipment based on a distributed database, belongs to the technical field of ephemeris data management, and remarkably improves the query performance of mass spatio-temporal data through a double-table collaborative storage and dynamic index optimization mechanism. The method comprises the following steps: constructing a double-table collaborative storage structure of an ephemeris data table and an ephemeris index table; preprocessing ephemeris data, converting the ephemeris data into structured data, arranging and storing the structured data in the double-table collaborative storage structure according to the sequence of satellite numbers and global positioning system weeks, and optimizing the continuity and the distribution rule of the data; updating the ephemeris index table in real time based on a dynamic maintenance mechanism, and triggering self-adaptive index recombination based on a data fragment splitting event; a two-stage retrieval strategy is adopted, a target data primary key range and data fragments are quickly positioned through joint indexing, parallel processing query is carried out to realize cross-node accurate retrieval, and finally, a result is fed back to a client, so that query delay of massive ephemeris data is reduced, and query efficiency is improved.

The invention provides a medicine box and a medicine taking reminding system. And the medicine box and the reminding system are in data transmission communication with each other. The system may also include a global positioning system, an accelerometer, or both. The cartridge compartment is configured to contain a medicament. The medicine box is provided with a sensor or a sensor array used for detecting the number of medicine in the medicine box. The cartridge processor is configured to generate a data signal related to an amount of medication within the cartridge. The system may generate a medication reminder, such as a reminder regarding supplementation of prescription medication or medication with food. The medicine box can comprise or be connected with a smart phone protection shell, and can also be integrated into a smart watch.

The invention relates to the technical field of navigation and positioning, in particular to a multi-frequency phase deviation estimation and ambiguity fixing method and device.The method comprises the steps that a B2b precise orbit clock difference product is generated, then uncalibrated phase delay UPD estimation is carried out on a server side to obtain a UPD product, and therefore the UPD product is obtained on a user side; and performing multi-frequency precision single-point positioning and ambiguity fixation according to user station observation data, the B2b precision orbital clock difference product and the UPD product to obtain a multi-frequency PPP fixed solution under double systems of a Beidou satellite navigation system (BDS) and a global positioning system (GPS). Therefore, the problems that the PPP-B2b service positioning performance is not fully exerted, the precision and the convergence time need to be optimized, the availability is limited and the like due to the fact that the PPP-B2b correction number and the BDS multi-frequency observation value are not fully utilized and an adaptive multi-frequency PPP model and an ambiguity fixing method are lacked in the related technology are solved.

The invention provides a course information determination method and device, and the method comprises the steps: obtaining geomagnetic data collected by a geomagnetic sensor at a current moment, and obtaining gyroscope data collected by an inertial measurement unit in a vertical direction at the current moment; under the condition that positioning data acquired by a global positioning system is not acquired, or the positioning data is acquired and the positioning data is smaller than or equal to a first threshold value, determining course angle variation of the current moment relative to the target moment based on gyroscope data in the vertical direction of the current moment and a time difference between the current moment and the target moment; the target moment refers to a moment when the positioning data is greater than a first threshold value for the last time before the current moment; obtaining a geomagnetic course angle at the current moment based on the geomagnetic data at the current moment; and obtaining the final course angle at the current moment based on the final course angle at the target moment in the preset storage space, the course angle variable quantity and the geomagnetic course angle at the current moment.

A roadway issue detecting and reporting system is provided. The system includes a plurality of sensors including a global positioning system (GPS) sensor and a roadway observing sensor. The system also includes a first controller communicatively coupled to the plurality of sensors. The first controller is programmed to receive roadway data and GPS location data from the plurality of sensors, detect a roadway issue based on the roadway data and a corresponding location based on the GPS location data, and generate roadway issue data including roadway issue classification data and the GPS location data associated with the roadway issue. The first controller is also programmed to transmit the roadway issue data to a remote server, receive confirmation data from the remote server, and present the confirmation data to a user.

An aircraft includes at least one source collecting a set of navigational parameters of the aircraft, the at least one source obtaining flight data for the aircraft and including at least one of a global positioning system, an inertial reference system, or a sensor. The aircraft further includes a flight control computer communicatively coupled to the source and including a first processor and a first memory having a machine-readable medium, as well as a flight management system communicatively coupled to the flight control computer.

An apparatus can comprise an image encoder and a location encoder. The image encoder can be configured to be trained using a plurality of images including at least one image captured by a visible sensor and at least one image captured by a thermal camera. Further, the image encoder can be configured to output image encoder values based on the plurality of images. The location encoder can be configured to be trained using a plurality of location pairs, the location encoder configured to output location encoder values, each location pair from the plurality of location pairs uniquely associated with at least one image from the plurality of images. Further, the image encoder values and the location encoder values can collectively define a shared latent space.

Methods, systems, and devices for wireless communications are described. A wireless communications system may establish sidelink messages and information elements (IEs) that may be used to distribute absolute time information from a first user equipment (UE) to a second UE. Participating UEs (e.g., the first UE or the second UE) may be mobile or stationary (e.g., a roadside unit (RSU) ). The first UE may provide an absolute time to the second UE with ten nanosecond resolution, and the absolute time may be referenced to a global standard (e.g., universal time coordinated (UTC) time or global positioning system (GPS) time). Time messages may be exchanged (e.g., between the leapSeconds first UE and the second UE) using PC5 radio resource control (RRC) signaling or medium access control (MAC) control elements (MAC-CEs). Time distribution may be based on a request-response signaling or unilaterally provided by a participating UE (e.g., the first UE).

The invention discloses a water body detection sampling method for environmental engineering, relates to the technical field of environmental engineering, and aims at solving the problem that in the prior art, in the aspect of water sample collection for a complex water area environment, it is difficult to comprehensively and accurately obtain representative water samples. Detailed geographic information, including water depth, water flow velocity, landform and aquatic plant distribution data, of a target water area is obtained, and appropriate sampling equipment and sampling instruments are selected according to the data; s2, deploying and positioning the sampling ship, transporting the automatic sampling ship to a proper launching point near a target water area, setting a driving route and sampling point coordinates of the sampling ship by importing a water area map and a global positioning system, monitoring the surrounding environment in real time in the driving process of the sampling ship, and according to image information fed back when the surrounding environment is monitored. The method has the advantages that the representativeness of the water sample is greatly improved, and the reliability of a subsequent water body detection result is ensured.

A system for using a space integration sequencer system that coordinates timing of aircraft operations including arrivals, departures, and enroute flights with current and future aircraft operations. The system includes an overall system input, an overall system logic, and an overall system output. The overall system input includes a plurality of vehicle telemetry and a plurality of regulatory data. The overall system logic includes a pathway identifier, a first pathway intersection, an algorithm, and a second pathway intersection. The overall system output includes a pathway generator and a pathway reroute. The overall system includes a camera-based sensor system includes a Pan-Tilt-Zoom camera, an edge computer, a backup battery, and an optional solar power source and a Light Detection and Ranging system that includes a plurality of lasers, a scanner, a Global Positioning System, and an Inertial Measurement Unit.

The embodiment of the invention discloses a scenic spot guide method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring the position and navigation terminal point of a target user in a target scenic spot; planning a navigation route based on the position of the target user in the target scenic area and the navigation terminal point; when the target user moves according to the guide route, monitoring signal intensity corresponding to a global positioning system; when the signal intensity is smaller than a preset value, beacon signals corresponding to Bluetooth beacons in the target scenic area are received; correcting the current position of the target user based on the beacon signal and an auxiliary positioning method; when the distance between the target user and the Bluetooth beacon in the target scenic spot meets a preset condition, the navigation information of the point location corresponding to the Bluetooth beacon is output, the accuracy of searching for the target scenic spot in the scenic spot by the user can be improved, and therefore the user experience is improved.

A method of creating a correction function for improving the accuracy of a global positioning system device, the method collecting a plurality of time samples at a plurality of known locations, wherein each time sample consists of global positioning system coordinates and associated satellite data from a plurality of satellites. The satellite data includes or allows for determination of (i) the satellite azimuth and elevation of an associated satellite, (ii) the signal-to-noise ratio of a received signal from the associated satellite; and optionally (iii) the pseudo-range. For each time sample, a respective error between the known location and the corresponding global positioning system coordinates is calculated, and a deep learning / machine learning technique is applied to the plurality of time samples to create an error correction function as a function of the respective global positioning system coordinates and the satellite data.

The present disclosure relates to a map generation method, device, medium and electronic device, the method comprising: obtaining a multi-frame point cloud collected by a point cloud acquisition device in a target area; determining whether the signal strength of the target area meets the preset high-intensity requirement; determining a point cloud matching pair from the multi-frame point cloud according to the result of determining whether the signal strength of the target area meets the preset high-intensity requirement, and determining the target pose information of each of the multi-frame point clouds according to the point cloud matching pair, wherein the same points exist between the two frames of point clouds constituting the point cloud matching pair; generating a map of the target area according to the target pose information of each of the multi-frame point clouds. Through the above technical scheme, by constructing a point cloud matching pair, determining the target pose information of each of the multi-frame point clouds according to the point cloud matching pair, the dependence on the global positioning system is reduced, and there is no need to find the nearest point for each point to match as in the related art. The amount of calculation is relatively small, which can improve the efficiency and accuracy of map generation.

Systems, devices, and methods for a gas sensor comprising one or more optical cells; a processor having addressable memory, the processor configured to: detect gas from the one or more optical cells of the gas sensor, where the detected gas is one or more of: methane, carbon dioxide, hydrogen sulfide, water, ammonia, sulfur oxides, and nitrogen; record data corresponding to the detected gas, where the recorded data comprises at least one of: an ambient temperature from a temperature sensor, an ambient pressure from a pressure sensor, an aerial vehicle telemetry, and an aerial vehicle location from a global positioning system (GPS); and generate a map of atmospheric greenhouse gas concentration on a map based on the detected gas and the recorded data.

Systems and methods for use in cloud-based digital vehicle alerting are disclosed. In an example, a device includes a global positioning system (GPS) unit, a wireless transmitter, an input voltage interface, a voltage detector circuit electrically connected to the input voltage interface and configured to detect a voltage at the input voltage interface, and alerting mode logic configured to transition from a non-alerting mode to an alerting mode in response to the voltage detected by the voltage detector circuit exceeding a threshold voltage, and transition from the alerting mode back to the non-alerting mode in response to the voltage detected by the voltage detector circuit not exceeding the threshold voltage for an entire delay interval, where the wireless transmitter is configured to transmit alerting vehicle telemetry data, which includes location information generated by the GPS unit, in response to the alerting mode of the alerting mode logic.

The invention discloses a positioning method, system and device based on multi-vehicle cooperation in the Internet of Vehicles and a medium, and relates to the technical field of Internet of Vehicles positioning, and the method comprises the steps: judging whether a target vehicle is located in an anchor point coverage area composed of a plurality of UWB anchor points or not; if yes, based on the distance between the target vehicle and each UWB anchor point and the coordinate of each UWB anchor point, a spatial distance intersection algorithm is adopted to obtain the coordinate of the target vehicle; if not, judging whether the target vehicle can form a motorcade self-organizing network with the adjacent vehicle or not, and starting a multi-vehicle cooperative positioning mechanism; if yes, obtaining the coordinates of the target vehicle according to a multi-vehicle cooperative positioning mechanism based on identity authentication and key negotiation; the multi-vehicle cooperative positioning mechanism obtains a plurality of adjacent vehicle coordinates for the target vehicle through V2V communication, and the coordinates of the target vehicle are obtained according to the coordinates of the adjacent vehicles; and if not, obtaining the coordinates of the target vehicle by adopting an inertial measurement unit and a global positioning system. According to the invention, the safety and precision of vehicle positioning are improved through V2V cooperative positioning.

The invention discloses a road construction area intelligent sealing control and scheduling method fused with edge calculation, and relates to the technical field of road construction traffic management, and the method comprises the steps: S1, data collection and fusion: deploying edge calculation nodes at the periphery of a road construction area, and enabling the edge calculation nodes to access and fuse data collected by a multi-source sensor in real time, the data comprises traffic flow data acquired by a traffic camera, traffic flow speed data measured by a millimeter wave radar, global positioning system (GPS) positioning data of a construction vehicle, and visibility and precipitation data acquired by a weather sensor. By fusing edge calculation and multi-source sensor data, the traffic flow change can be responded in real time, the sealing control range is shrunk in the peak to reduce congestion, and road resources are reasonably adjusted and prevented from being idle in the flat peak; the device can adapt to weather condition changes, a safe buffer area is expanded in low-visibility environments such as rainstorm and heavy fog, and the traffic capacity is recovered in time when the weather turns good.

A defendant notification and tracking system automatically notifies defendants of legal events and confirms notices of these legal events and monitors the defendant's location. The defendant notification and tracking system enables better compliance with defendants appearing for legal events and includes a plurality of interactive components that enable effective notification of a legal event to a defendant and location monitoring of the defendant by a global positioning system (GPS). The notification and tracking system includes a computer system including a computer that operates a system software. The defendant has a system application software that operates on their mobile device and interfaces with the computing system through a wireless signal. The defendant receives legal event notices electronically sent by the computing system on their mobile device. In the event the defendant does not show up for a legal event, authorities may be notified of the defendant's location.