583 results about "Global Positioning System" patented technology

The invention discloses a mobile phone anti-theft system and method based on a camera and a GPS (Global Position System) of a mobile phone. The mobile phone anti-theft system comprises a mobile phone CPU (Central Processing Unit), a microprocessor, a camera driving module, an input module and an unlocking detection module, wherein the input module is connected with the unlocking detection module; the unlocking detection module is connected with the mobile phone CPU; and the mobile phone CPU is connected with the camera driving module through the microprocessor. Compared with the prior art, the mobile phone anti-theft system and method provided by the invention have the advantages as follows: an unlocking operation is carried out when the mobile phone is used after the mobile phone is lost or stolen, and a background operation program which is installed in the mobile phone is triggered and started when the unlocking operation is inaccurate; and a user who currently uses the mobile phone is positioned and photographed through a GPS module and the camera of the mobile phone; meanwhile, obtained information is sent to a mailbox or other addresses which are specified by the user in time, so that the user is convenient to alarm and can find the mobile phone back accurately in time, and the problems of the mobile phone loss and personnel information release of the user can be solved.

The invention discloses an ultra-wideband laser radar inertial navigation cooperative SLAM (Simultaneous Localization and Mapping) method and system, which are suitable for robot positioning and mapping tasks in a GPS (Global Positioning System)-free environment. According to the method, high-frequency motion priori of an IMU, relative pose constraint of LiDAR and absolute ranging information of UWB are fused, a unified factor graph optimization model is constructed, and multi-sensor cooperative positioning is realized; in the system initialization stage, IMU bias calibration, UWB base station coordinate configuration and LiDAR initial attitude estimation are completed; in the operation process, IMU pre-integration is utilized to predict the pose, LiDAR point cloud registration is utilized to obtain the relative motion between key frames, UWB ranging is combined to construct a residual item, a self-adaptive weight mechanism is introduced to suppress ranging abnormity, and the fusion robustness is improved; the system supports geometric feature loopback detection, cross-frame constraints are constructed in combination with UWB to carry out closed-loop optimization, and an optimization result is used for real-time incremental updating of a global map; the method has the advantages of high positioning precision, strong anti-interference capability, wide application scene and the like.

The invention relates to the technical field of aerospace, in particular to low-altitude traffic flow airspace-oriented real-time planning, and provides a centimeter-level precision detection network covering a low-altitude airspace by integrating multi-dimensional data sources such as radar electromagnetic feature recognition, ADS-B (Automatic Dependent Surveillance-Broadcast) automatic monitoring, Beidou or GPS (Global Positioning System) space-time reference positioning and the like. The three-dimensional trajectory and motion situation of the aircraft are solved in real time, intelligent reconstruction of an airspace sector and adaptive optimization of a flight corridor are realized by adopting a dynamic programming algorithm driven by reinforcement learning based on the real-time pose data of the aircraft, and a flight conflict prediction model constructed by combining a space-time convolutional neural network is used for predicting the flight conflict. According to the method, potential risks can be pre-judged, an optimal avoidance path can be generated, full-process digital management and control from identity verification to airspace authorization can be realized by constructing an aircraft digital identity authentication system and a dynamic access control mechanism, and modules such as a three-dimensional navigation information service module, a low-altitude digital communication private network module and an intelligent early warning and warning system module are integrated. And the guarantee of full-life-cycle service is provided for the low-altitude aircraft.

A hydrofoil board having a hydrofoil and individually controllable flaps configured to be controlled to stabilize the board in a level position even when incurring waves. The flaps are spaced from the hydrofoil to generate a gap, and direct fluid flowing under the hydrofoil through the gap, and over the flaps. The flaps control the pitch and direction of the hydrofoil board when propelled in motion. A processor uses an internal measurement unit (IMU) to obtain orientation and acceleration information of the hydrofoil board. A global positioning system (GPS) unit is also used as an additional speed and location sensor. The processor combines IMU data with a user / rider's input, such as selected speed and direction via handheld wireless controller, and individually controls the flap motors to position the flaps, and the propulsion motor to set speed. In one example, the controller is configured to bring the hydrofoil board to a complete and stabile stop.

The invention provides a parameter acquisition method of a photovoltaic tracking system, which comprises the following steps of: acquiring longitude and latitude, time and date of a device installation place by using GPS (Global Positioning System) positioning, and describing the relative position of the sun through a sun-oriented movement trajectory tracking algorithm; calculating a tracking angle at which the camera should rotate by using the known relative position of the sun and the direction vector and the position vector of the tracking camera; the camera is driven to rotate to a theoretical angle, and then position tracking of the sun is achieved through the angle sensor; in the tracking process, eight-quadrant illumination intensity data is collected through a self-adaptive weight distribution algorithm model. According to the invention, real-time tracking of the sun is realized, and effective picture data acquisition work for the sun area in the sky is completed. The illumination intensity value calculated by using the adaptive weight distribution algorithm model can reduce the influence of the external environment on the data to a certain extent, balance the error and deviation between the sensors, and finally improve the measurement precision of the illumination intensity.

An example operation includes one or more of establishing global positioning system (GPS) coordinates of a virtual geographic boundary around a charging station through a software application, receiving a message from a vehicle which comprises a state of charge (SOC) of the vehicle and an identifier of the vehicle, verifying the vehicle based on the message, detecting that the vehicle has entered the virtual geographic boundary around the charging station based on GPS coordinates of the vehicle, and delivering content to a graphical user interface (GUI) of the software application in response to detection that the vehicle has entered the virtual geographic boundary.

The invention relates to a subway train positioning method and system, and the system comprises a processor which is configured to process the multi-source data, collected by an inertial navigation unit, of a train based on an error Kalman filtering algorithm, so as to preliminarily correct the acceleration and angular velocity; constructing a time-mileage curve of the train and correcting the time-mileage curve based on the first correction proportion; identifying the dynamic change characteristics of turning based on the angular velocity collected by the inertial navigation unit, calculating the total mileage in the turning section, and correcting the total mileage in the turning section based on the second correction proportion of the turning section; abnormal vibration features are identified and marked in a visualized manner based on the high-order change rate of the acceleration and angular velocity of the train. Under the condition of not depending on a GPS (Global Positioning System), acceleration and angular velocity data of the characteristics in the running process of the train are collected and calibrated, and a mileage calibration model based on the track characteristics is constructed, so that accurate train mileage and position information can be obtained in a GPS-free environment.

A system of a vehicle for processing communication with connected objects is provided. The processing by the system uses a processor of the vehicle and processing and data from one or more servers of a cloud system. The connected objects include objects having communication capabilities that are either fixed at specific locations as infrastructure proximate to where the vehicle is located or locations proximate to where the vehicle is moving. The system includes a global positioning system of the vehicle for generating geo-location for the vehicle and a heading direction. The geo-location is shared with a server of the cloud system using a communications device of the vehicle. The server of the cloud system is configured to receive the geo-location of the vehicle to identify the heading direction of the vehicle. The communications device of the vehicle is configured receive state data from at least one of said connected objects.

A method includes receiving, by a processor, a route having a start and a destination, pulling, by the processor, a plurality of global positioning system (GPS) points to define the route, generating, by the processor, a plurality of segments from the plurality of GPS points, and optimizing, by the processor, the plurality of segments to identify an optimal vehicle SOC so the vehicle is able to complete the route in the shortest amount of time possible.

The invention discloses an unmanned aerial vehicle cluster intelligent cooperative positioning method and system based on machine learning, relates to the technical field of artificial intelligence and unmanned aerial vehicles, and aims to solve the problems that positioning signals are attenuated and drifted and the spraying precision is affected due to spray droplets of unmanned aerial vehicles in agricultural plant protection. According to the scheme, multi-source heterogeneous sensor data of a global positioning system, an inertial measurement unit, vision, ultra wide band and the like are acquired through each unmanned aerial vehicle in a cluster and are locally estimated; the central node cooperatively aggregates data, models fogdrop interference such as fogdrops by using a deep learning model, and dynamically corrects sensor noise; according to the method, the positioning robustness, the positioning precision and the self-adaptability are remarkably improved, and the spraying precision in a complex environment is ensured.

The utility model discloses a plant protection unmanned aerial vehicle for spraying pesticide on fruit trees, which comprises a shell, a GPS (global positioning system) is connected onto the shell, the GPS is used for positioning the unmanned aerial vehicle, and propellers are connected onto the shell; the undercarriage is fixedly connected to the machine shell; the pesticide box is arranged at the bottom of the machine shell, the pesticide box is fixedly connected with the machine shell, and a liquid inlet is formed in one side of the pesticide box; the spraying assembly is arranged at the bottom of the pesticide box, the spraying assembly is used for spraying pesticide liquid in the pesticide box outwards, and the spraying assembly at the bottom of the pesticide box is aligned with the side faces and the bottom of a fruit tree to conduct pesticide liquid spraying operation in the process that the unmanned aerial vehicle lifts off and flies; in the using process, the spraying rod pump sprays pesticide liquid in the pesticide box outwards through the spraying head after passing through the spraying rod, the spraying head is arranged on the side wall of the spraying rod so that the pesticide liquid can be conveniently sprayed to the side wall of a fruit tree through the spraying head, and in the flying process of the unmanned aerial vehicle, the unmanned aerial vehicle is suspended, and spraying operation can be completed.

The invention discloses a construction site three-dimensional modeling method based on multi-sensor fusion. The method comprises the following steps: synchronously acquiring data by using a laser radar, a camera, an infrared sensor, a GPS (Global Positioning System) and an IMU (Inertial Measurement Unit); the method comprises the following steps of: performing denoising and filtering operation on collected original data, aligning a timestamp and a space of the collected data, fusing the collected multi-source data, and aligning and fusing the processed multi-source point cloud data through a point cloud registration and fusion algorithm to generate a complete three-dimensional point cloud model; generating a grid model by using a surface reconstruction algorithm based on the point cloud data, and performing texture mapping in combination with texture information collected by a camera; the model is simplified and the precision of the model is improved through a model optimization technology, and a reliable three-dimensional visualization foundation for construction management and analysis is formed; real-time detection and modeling of dynamic targets such as mobile equipment and workers on a construction site are realized, and the real-time response capability of the system in a complex construction site environment is ensured through combination of a lightweight neural network architecture and an edge computing technology.

The invention discloses a cross-scale self-supervised spatio-temporal trajectory basic model training method, which comprises the following steps of S1, preprocessing original GPS (Global Positioning System) data to obtain trajectory data of different spatial granularities; s2, encoding the trajectory data of the spatial granularities to obtain trajectory representations corresponding to the spatial granularities; s3, on the basis of the trajectory representation of each spatial granularity, randomly selecting a part of elements to execute mask operation, and calculating the difference between the predicted trajectory data and the real trajectory data as mask reconstruction loss; s4, performing comparative learning training on the positive sample pair and the negative sample pair to construct comparative learning loss; s5, performing dynamic fusion on the trajectory representation of each spatial granularity and the importance weight to obtain a unified representation after trajectory fusion; and S6, performing weighted summation training on the mask reconstruction loss and the contrast learning loss through weight hyper-parameters to obtain total training loss of the model, updating model parameters to convergence by adopting a gradient descent algorithm, and generating a pre-training model.

The invention relates to an industrial wireless system millimeter wave beam prediction method assisted by multi-mode environment semantics, and belongs to the technical field of industrial wireless communication. According to the method, for a millimeter wave wireless communication process from a base station to a user in a factory, absolute position environment semantics of the user in a global positioning system and relative position environment semantics relative to the base station are extracted and obtained through a global positioning module deployed in the user and a camera of the base station; and inputting into a lightweight efficient neural network prediction model, and finally outputting a beam index to complete millimeter wave beam prediction. According to the method, the actual communication process of the millimeter wave communication system in the industrial wireless environment is considered, the efficient prediction of the beam is realized on the premise of low overhead of system resources, and the requirements of high-mobility and low-delay industrial wireless communication scenes are met.

A client device includes: a display device that includes a touchscreen; a camera; a global positioning system (GPS) device; at least one processor; and a memory that stores a plurality of photographs generated by the camera, application data corresponding to a plurality of applications including at least one application that facilitates storage and selective deletion of the photographs based on subsets of photographs containing images of different people, subsets of photographs taken at different locations and subsets of photographs containing images of particular groups of people.

The invention provides a binocular vision global positioning system and method for a mobile robot, and relates to the technical field of robot vision navigation, and the method comprises the steps: carrying out the adaptive exposure compensation of binocular images of a left camera and a right camera, extracting edge contour feature points irrelevant to illumination, and generating a high-quality depth feature map through the combination of parallax calculation; meanwhile, feature units are constructed according to the inflection points, so that the global position of the mobile robot is determined. Therefore, the problem that the global positioning precision is reduced due to unstable visual feature extraction caused by rapid change of illumination intensity of the mobile robot in a multi-region switching scene can be solved to a certain extent.

A system for forming and maintaining GPS tracked and mapped environmentally-clean chemical-based fire protection zones formed over property and ground surfaces in and about a neighborhood of homes, that proactively inhibit fire ignition and flame spread when exposed to wild fire. The system includes a GPS-tracking anti-fire (AF) liquid spraying system wirelessly connected to a wireless communication network supporting a network database. The GPS-tracked anti-fire liquid spraying system is used to spray particular GPS-specified ground surfaces in and about the neighborhood, with an environmentally-clean anti-fire chemical liquid so to form environmentally-clean chemical fire protection zones over the GPS-specified property surfaces, while generating GPS-coordinate and time / date stamped data records pertaining to the application of the environmentally-clean anti-fire chemical liquid spray during the formation of the environmentally-clean chemical fire protection zones. The GPS-coordinate and time / date stamped data records are transmitted over the wireless communication network for storage in the network database. A mobile computing system is used to access the GPS-coordinate and time / date stamped data records from the network database, relating to the formation of the GPS-specified environmentally-clean chemical fire protection zones, so as to verify that the GPS-specified environmentally-clean chemical fire protection zones were formed at the GPS-specified property surfaces on the particular date, to proactively inhibit fire ignition and flame spread when exposed to wild fire.

Systems and methods are disclosed for the generation and interactive display of three-dimensional (3D) models that accurately represent buildings and other large, complex objects possessing both internal and external features. More specifically, an exterior mesh can be generated that captures all the external features of the building. An interior mesh can also be generated that captures all the internal features of the building. The exterior mesh and the interior mesh may be layered and combined using geographical coordinates (e.g., global positioning system (GPS) data) in order to create a combined mesh that can be used to render a 3D model of the object. Any images taken of external or internal features may also be appended to the 3D model or even overlaid on the 3D model (like textures), based on the location and directional view associated with those images.

The invention discloses an underwater net cage inspection robot based on a side-scan sonar and an AUV platform and a use method of the underwater net cage inspection robot. The underwater net cage inspection robot comprises a pressure-resistant cabin, a control system in the cabin, a main body frame, a propelling system on the main body frame, a communication device and an inspection operation system. Wherein the inspection operation system comprises a detection camera, an inspection auxiliary side-scan sonar and a navigation technology combining a GPS (Global Positioning System) and an INS (Inertial Navigation System). And the underwater robot determines the position of the underwater robot through combined positioning of the GPS and the INS and keeps communication with the ground station. And after the net cage arrives at a specified inspection area, detecting the position, the shape and the surrounding environment of the net cage by using a side-scan sonar, constructing a detailed seabed image, and planning an inspection path and performing efficient inspection according to the path by cooperating with the synergistic effect of a control system. Meanwhile, the camera is used for monitoring the surface condition of the net cage in real time, the problem of damage or foreign matter attachment can be recognized, and the comprehensiveness and accuracy of inspection work are ensured.

In general, the subject matter described in the specification can be embodied in methods, systems and program products for an improved review system with location-verified reviews. The system verifies a user's location using one or more available sources, such as geographic location by global positioning system (GPS), cellular localization systems, or wireless local area network (WLAN). The user confirms the business or attraction at the current geographic location that the user would like to review. The system then accepts a review of the business or attraction at the current geographic location. The review is indexed for retrieval. Preferably, the system includes a delay before indexing a review, wherein the management of the business or attraction is notified of the review so that it can respond to any complaints in the review before it is made available for retrieval.

Described herein are unmanned aerial vehicles (UAVs) and antenna assemblies thereof for shaping radiation patterns in global positioning system applications. For example, an embodiment pertains to an antenna assembly onboard an aerial vehicle. The antenna assembly includes a radiating element coupled to a chassis of an aerial vehicle and positioned in parallel with the chassis, a substrate coupled to the radiating element, a ground plane coupled to the substrate, and a feed cable coupled to the radiating element through the substrate and the ground plane. The ground plane includes a center portion in parallel with the chassis and with the radiating element, and side portions positioned at an angle relative to the chassis and to the radiating element.

A hydrofoil board having a hydrofoil configured to be automatically controlled to stabilize the board in a level position even when incurring waves. The hydrofoil includes a pair of individually controllable flaps that control the pitch and direction of the hydrofoil board when propelled in motion. A processor uses an inertial measurement unit (IMU) to obtain orientation and acceleration information of the hydrofoil board. A global positioning system (GPS) unit is also used as an additional speed and location sensor. The processor combines IMU data with a user / rider's input, such as selected speed and direction via handheld wireless controller, and individually controls the flap motors to position the flaps, and the propulsion motor to set speed. In one example, the controller is configured to bring the hydrofoil board to a complete and stabile stop.

A sonar target locking system to position a sonar assembly to maintain the sonar array of the sonar assembly pointing at a position of a user-set (desired) target even when the watercraft is rotating or moving in various motions. The sonar target locking system includes electro-mechanical assembly that can be steered electrically to maintain the sonar array pointing at the position of the desired target. The system may be activated using at least one of a foot pedal, handheld remote control, or a display of a fish finder head unit. The system may use GPS and IMU inputs to generate control signals to steer the electro-mechanical assembly to maintain the sonar array pointing at the position of the desired target.

A high-altitude platform and method for in-flight navigation, the platform comprising a ground-facing camera and a computing device including a memory and a processor, the memory storing instructions which when processed cause the computing device to perform a position determination method, comprising: acquiring one or more images from the ground-facing imaging device; retrieving, from an image dataset associated with a trained model, a plurality images associated with an area of interest; processing, using an image comparator, the acquired one or more images and the retrieved images associated with terrain of interest to derive therefrom respective acquired image feature sets; using a loss function, comparing each acquired image feature set to each retrieved image feature set to identify for each acquired image a corresponding matching retrieved image; using the matched image and the optical characteristics of the ground-facing camera, determining the position of the platform.

A method for labeling vehicular sensor data includes accessing sensor data captured by a plurality of sensors disposed at a vehicle. The method also includes accessing global positioning system (GPS) sensor data of the vehicle. For each time step of a plurality of time steps associated with the sensor data, vehicle position information is extracted from the GPS sensor data that represents a respective geographic location of the vehicle at the respective time step. For each time step of the plurality of time steps of the recording of sensor data, respective location-based information associated with the respective geographic location of the vehicle at the respective time step is obtained from a database. For each time step of the plurality of time steps of the recording of sensor data, the recording of sensor data at the respective time step is labeled using the respective obtained location-based information.

The present invention relates to method and system for controlling speed of vehicle by using GPS location, real-time traffic light status and machine learning techniques to recommend cruising speed to vehicle without stopping at the traffic lights. The method includes determining status of traffic lights located on route of traffic junctions and associated time period for status of traffic lights based on data received from sensors. The method includes broadcasting status of traffic lights and associated time period. The method includes calculating in real-time a recommended cruising speed of the vehicle based on GPS location associated with vehicle, status of traffic lights and associated time period, and a time period required by vehicle to arrive at the traffic lights using machine learning techniques. The method includes providing in real-time the recommended cruising speed to vehicle. The method includes adaptively controlling in real-time speed of vehicle to recommended cruising speed.

The invention relates to the technical field of dam termite prevention and control in water conservancy and hydropower engineering, in particular to a dam termite nest positioning method and detection equipment based on intelligent multi-mode fusion, which utilizes technologies such as geological radar, infrared thermal imaging, RTK (Real Time Kinematic) and GPS (Global Positioning System) positioning and is assisted by a machine learning algorithm to carry out data processing. An infrared thermal imaging camera carried by a crawler chassis is used for rapidly scanning the surface of a dam and finding out temperature abnormal points which may be termite activity areas, an underground high-resolution image is further obtained through a carried ground penetrating radar, meanwhile, coordinate information of the areas is collected, a high-precision dam area map is combined, and the termite activity area is obtained. The termite nest position is further accurately confirmed; by means of the method, the accuracy and efficiency of dam termite nest positioning can be remarkably improved, meanwhile, the environmental pollution risk caused by a traditional method is reduced, and the method is beneficial to protection of safe and stable operation of a water conservancy project and makes a contribution to environmental protection.

The utility model relates to the technical field of plastic trays, and discloses an installation and anti-theft structure for a GPS (Global Positioning System) and an RFID (Radio Frequency Identification Device) of a tray, which comprises a main body mechanism, the main body mechanism comprises a tray body, a GPS component is movably installed in the tray body, an RFID component is movably installed in the tray body, and a GPS upper cover is movably installed in the tray body. A GPS mounting groove is fixedly formed in the GPS upper cover, and the GPS assembly is located in the GPS mounting groove. According to the mounting and anti-theft structure for the GPS and the RFID of the tray, by mounting the main body mechanism, when the structure is used, the problem of mounting firmness of the GPS assembly and the RFID assembly is solved, the mounting steps are simplified, the anti-theft function is added, and the mounting and anti-theft structure for the GPS and the RFID of the tray is simple in structure, direct in injection molding, high in reliability, high in repeated utilization rate, low in manufacturing cost and capable of being applied and popularized.

The invention is suitable for the field of farmland weed treatment, and provides an unmanned vehicle-mounted remote sensing detection-based farmland early weed identification method, which comprises the following steps of: constructing an unmanned vehicle-mounted remote sensing detection system and acquiring a multispectral image, a thermal infrared image and GPS (Global Positioning System) data; data transmission and preprocessing of the multispectral image and the thermal infrared image are carried out; carrying out weed recognition on the preprocessed image by using a weed recognition algorithm; experiments prove that the weed recognition result method greatly improves the monitoring efficiency, is especially suitable for large-scale farmland, reduces herbicide abuse, and gives consideration to both production benefits and environmental protection. The technology can effectively reduce resource competition between crops and weeds, directly improve the yield and quality, and reduce manpower and pesticide cost at the same time. And the data can be integrated into a precision agricultural system to promote the implementation of technologies such as variable fertilization and intelligent irrigation. In addition, the flexibility of the unmanned system enables the unmanned system to adapt to complex terrains, and a new solution is provided for organic agriculture and breeding test fields.

The invention discloses an indirect measurement method for a tire slip angle in the process of driving a vehicle on a wet land. The method comprises the following steps: S1, measuring partial size parameters of the vehicle and position parameters of a GPS (Global Positioning System) mounting point relative to each wheel position; s2, motion state parameters of the vehicle and the tires in the running process are collected; s3, calculating the longitudinal speed Vx, ij and the lateral speed Vy, ij of the tire center position under the vehicle body coordinate system by using the position parameters and the motion state parameters and considering the influence of vehicle yawing, pitching motion and roll motion; s4, calculating a side slip angle # imgabs0 # of the tire under a vehicle body coordinate system by using the longitudinal speed Vx, ij and the lateral speed Vy, ij; S5, converting the side slip angle # imgabs1 # into a tire coordinate system by using a tire steering angle, and obtaining a side slip angle alpha ij of each wheel position under the tire coordinate system. According to the method, the influence of vehicle yawing, side tipping and pitching motion is considered, and the method has very high tire slip angle measurement precision under the vehicle wetland driving working condition and the real vehicle limiting working condition including sudden turning and sudden acceleration and deceleration at the same time.