45results about How to "Realize indoor positioning" patented technology

The invention discloses an intelligent parking lot navigation system and method. The method comprises the following steps: acquiring a target position needing to be reached according to information about a parking space selected by a user on a mobile phone user terminal; acquiring a real-time position according to combined positioning information of inertial navigation and an iBeacon Bluetooth beacon; and performing path planning by using the two positions. According to the method, the technologies of strapdown inertial navigation, iBeacon Bluetooth positioning and the like are combined. Inertial navigation is an autonomous navigation way in which other auxiliary equipment does not need to be deployed, and short-term positioning accuracy is up to meter class. A smart phone is provided withinertial sensors such as an accelerometer and a gyroscope, so that a mobile phone user gets rich mobile information, and data support is provided for the realization of inertial navigation of the mobile phone.

The invention discloses an indoor positioning and path leading method based on mobile terminal inertial navigation. The indoor positioning and path leading method comprises the following steps: firstly collecting indoor path trajectory data in a subsection manner; performing optimizing processing on history path trajectory data by using a shortest path algorithm to obtain optimal path trajectory data; storing the optimal path trajectory data and uploading the stored optimal path trajectory data to a database; when a place of arrival is set by a user, obtaining corresponding most optimal path trajectory data from the database by mobile equipment, and performing path display and guidance. No extra equipment is needed, indoor inertial navigation and path guidance with relatively high precision can be achieved by just utilizing a built-in sensor of the mobile equipment, and the method has the characteristics of high practicability, high universality and low cost.

The invention belongs to the technical field of unmanned aerial vehicle navigation indoor positioning, and discloses an unmanned aerial vehicle vision-inertia fusion indoor positioning method. The method comprises steps of obtaining scale information of the feature points by using a binocular parallax method; tracking the feature points by using a pyramid LK optical flow algorithm; removing the feature points which are mismatched; pre-integrating inertial measurement data, and keeping data synchronization between sensors; and constructing a sliding window, carrying out selection and marginalization management on the key frame, and estimating the position, attitude, speed and gravity direction of the unmanned aerial vehicle and the drift of an inertial device by adopting a graph optimization mode. Finally, the functions of indoor positioning of the unmanned aerial vehicle in the dynamic environment and closed-loop detection and re-indoor positioning of the reached position are designed,and the precision and robustness of indoor positioning of the unmanned aerial vehicle are effectively improved.

The invention provides a map matching and locating method and system based on particle filter. The method comprises the following steps: disintegrating a feasible domain of an indoor environmental map into a rectilinear road feasible region and a cross region, and numbering paths contained in the regions; acquiring a particle cloud of a current location generated according to a PDR result and a number of the path at which the particle cloud of the current location is located; acquiring the current location of the particle cloud, variance of the current location, a step length, an estimated error of the step length, a course angle and an error of the course angle, updating a particle state, and obtaining the updated particle cloud; and according to the number of the path, judging a region in which a particle in the updated particle cloud is located, adjusting a weight of each particle in the updated particle cloud, and obtaining a locating result. By adopting the particle filter method, the particle cloud is established for the indoor environment map based on a locating solution and the error of the locating solution, and the locating solution is obtained in a way of adjusting and updating the particle cloud by virtue of the particle weight, so that the indoor location is realized, and the locating precision is improved.

This invention discloses a car -loading GPS+CDMA compound position method and its device and relates to a GPS positioning technique, which in detail relates to a method and its terminal of the positioning service based on GPS, wireless communication, internet and space geography information. This method is of a working system composed of central servo 1, database 2, monitoring bench 3, compound positioning terminal 4, CDMA base station 5 and GPS satellite 6. This terminal is composed of LCD display 4.1, host plate 4.2, GPS receiving module 4.3, GPS pre-process module 4.4, GPSOne receiving module 4.5, GPSOne pre-process module 4.6 and CDMA IX communication module 4.7.

The invention provides an indoor positioning system and method based on a deep neural network, and relates to the technical field of artificial intelligence, and the method comprises the steps: employing a neural network chip as a core, and employing a camera, a temperature sensor, a humidity sensor and a mobile terminal for needed data collection; transmitting required data through the Internet and a router; performing data preprocessing and data storage by using a positioning server; and finally, enabling a neural network chip to complete tasks such as neural network model training, optimalweight value searching, fingerprint information generation and positioning point determination. Compared with a traditional indoor positioning system and method, the indoor positioning system and method can be suitable for more complex environments, more accurate positioning can be achieved, and high practical value is achieved.

The invention discloses an indoor positioning and navigating method of a robot. The indoor positioning and navigating method comprises a robot body, a left driving wheel, a right driving wheel, a fixed-type single-point laser ranging module, a laser ranging line, an obstacle, a robot circle center, a monocular camera, a gyroscope module and an MCU control module, and the left driving wheel and theright driving wheel which are mutually symmetrically distributed are arranged at the bottom of the robot body and at the two ends of the robot circle center. A fixed-type single-point laser ranging module is adopted, and can be mounted at any position such as front, back, left and right in the horizontal direction of the robot, the aim of 360-degree scanning obstacles to establish a map can be achieved through rotation of the robot, the effect is equivalent to 360-degree rotation of laser radars, the monocular camera is combined to achieve indoor building and positioning functions. The schemeis easier to install because no rotating mechanism exists, a motor is not required to control the fixed-type single-point laser ranging module to rotate, so that the fixed single-point laser rangingmodule is longer in service life and lower in cost.

The invention relates to a method and device for positioning. The method at a detection access point side comprises that reception signal intensity indication from a hot spot of a wireless device at a position to be detected is detected, and the detected reception signal intensity indication is sent to a positioning access point via a wireless distributed network. The method at the positioning access point side comprises that detected reception signal intensity indication of multiple detection access points is received via the wireless distributed network; the similarity degrees between the position to be detected and multiple reference positions are calculated respectively; and the position to be detected is determined according to the calculated similarity degrees. The wireless device with hot spot function is used for indoor positioning, and thus, a user needs not to carry any extra special-purpose equipment.

The invention provides a visible light indoor positioning system and method based on an FFT (fast Fourier transform) algorithm. The system mainly comprises a multi-white-LED transmitter modulation module, a weak light signal detection module, an indoor positioning algorithm and a liquid crystal display module. According to the system and method, mixed optical signals of light emitted by LEDs of different frequencies in indoor space are received and collected by a photosensitive sensor, optical signals after preprocessing are subjected to spectral analysis with the FFT algorithm so as to distinguish strength of the optical signals at different point locations and estimate distance between a transmitter and a receiver with stronger signals, and position information of the receiver is obtained by solving with a trilateral positioning algorithm. With the adoption of the system and the method, requirements of indoor positioning for real-time property and precision can be met very well, indoor positioning of visible light is realized under the condition of guarantee for normal illumination, and positioning precision and stability are guaranteed.

Embodiments of the present invention provide a visible light communication-based device and method for an LED light source, belonging to the field of visible light communication. The drive device for the LED light source may comprise a DC-DC apparatus, a micro-control unit, and an amplification circuit. The DC-DC apparatus is used for lowering a received voltage so as to provide a demanded voltage for the micro-control unit. The micro-control unit is used for encoding positioning information related to the LED light source and stored in the micro-control unit so as to generate a positioning data frame. The amplification circuit is used for amplifying the positioning data frame, and outputting the amplified positioning data frame to the LED light source to drive the LED light source. The positioning information is set in the drive device of the LED light source, and the drive device encodes the positioning information and amplifies the positioning data frame so as to drive the LED light source, so that the visible light emitted by the LED light source carries position information, therefore, indoor positioning is realized easily.

The invention relates to the technical field of mobile robot indoor positioning, in particular to an indoor positioning system and method for a mobile robot based on multiple depth cameras. The system comprises a central control unit and a robot control unit, wherein the central control unit is used for determining the position of the robot and sending the position to the robot control unit, and the robot control unit is used for controlling the robot to act according to positioning information sent by the central control unit. The method is realized based on the system. According to the invention, indoor positioning of the mobile robot can be better realized.

The invention discloses an indoor positioning and verification system based on WiFi, and the system comprises at least one RFID reader which is dispersedly disposed in a positioning region; at least three wireless AP machines dispersedly arranged in the positioning area; a mobile device connected with the at least three wireless AP machines and acquires wireless signal intensity; a positioning server used for acquiring wireless signal intensity and positioning the mobile equipment by adopting a differential algorithm. The mobile device is provided with an RFID electronic tag. When the mobile device enters a preset signal range of the positioning area, the RFID electronic tag sends an RFID signal to the outside. The at least one RFID reader receives the RFID signal and confirms that the mobile device is in a preset signal range. WiFi positioning is adopted for the mobile device, and when the mobile device enters a preset signal range, the RFID electronic tag is activated to send out a radio frequency signal. The RFID reader acquires the radio frequency signal and confirms that the mobile device is in a preset signal range, which indicates that the mobile device does not have a falsereport.

The invention discloses a multi-level indoor positioning method and system based on crowdsourcing sample surface fitting, which belongs to the technical field of communication and wireless networks. The method comprises the steps of setting N signal sources, and dividing a target area into P sub-areas, determining a subarea to which each crowdsourcing sample belongs, and performing surface fittingon each signal source by utilizing the crowdsourcing samples in the subareas, scanning the signal intensity of N signal sources at a to-be-positioned point loc, and performing positioning based on the signal surface of each signal source in the subarea Atarget to which the loc belongs to obtain an initial position z0, taking z0 as the center of a circle and r1 to ri as the radius to obtain n circular areas R1 to Rn, for each circular area Ri, carrying out surface fitting on each signal source by utilizing samples belonging to Atarget, carrying out positioning based on a fitting result, and combining z0 to obtain a level positioning result zi, and synthesizing a level positioning result and determining a corresponding weight, and obtaining a positioning result through weighted average. Themethod can effectively improve the area positioning precision of crowdsourcing samples under different distribution conditions.

The invention provides an unmanned surface vehicle ship-borne speed measurement and direction measurement method based on UWB (Ultra-wide Bandwidth) indoor positioning and belongs to the technical field of acquisition of indoor positioning information of unmanned surface vehicles. The method sufficiently considers transmission properties of positioning data based on a UWB indoor positioning device, and threshold processing and primary filtering of a Kalman filter are carried out; stable speed output is obtained by utilizing a speed resolving algorithm F_outvel (i); a heading judging algorithmF_faigate (n.i) and a heading resolving algorithm F_outfai (i) are designed respectively by utilizing a coupling relation of a plurality of positioning labels and self geometrical features of the unmanned surface vehicle, so as to obtain real-time heading output; after the real-time heading output is resolved through an upper computer, a resolving result is sent to a target unmanned surface vehicle through a serial port via radio in real time; and the resolving result is received through a corresponding radio communication module on the unmanned surface vehicle to form information interaction.A speed measurement and direction measurement system designed by the invention meets the requirements of a movement control point of the unmanned surface vehicle, and stable, low-cost and real-time requirements; and indoor positioning, speed, heading multi-element information of the unmanned surface vehicle is acquired.

The invention discloses an air conditioner control method and device and a multi-connected air conditioning system. The method comprises the following steps of acquiring position change information ofa user terminal; determining a current user behavior scene according to the position change information; determining a target air conditioner and target parameters according to the current user behavior scene; and sending the target parameters to the target air conditioner so that the target air conditioner can adjust the working states according to the target parameters. According to the air conditioner control method and device, the current user behavior scene is determined by conducting indoor positioning on the user, and the air conditioner conducts intelligent adjustment according to thecurrent user behavior scene so as to meet the customization requirement of the user.

The invention discloses an intelligent tool car system based on ultra-wideband wireless communication. The intelligent tool car system comprises an intelligent factory server system, a UWB factory base station network, a tool car and an electronic work permit, the factory server system serves as an intelligent computing center and is used for completing factory resource configuration, equipment scheduling and engineering management and storing factory data. The UWB factory base station network is arranged in a fragmentation mode according to the size of a factory, and coordinates of UWB factory base stations in the factory are stored in the server system and used for achieving position positioning; both the tool car system and the electronic work permit are provided with UWB radio frequency tags, are registered in the factory server system, and are distributed with unique equipment ID numbers for management. The system is suitable for intelligent information management of future intelligent factories. Coordinated work of people and the tool car is achieved, the use requirements of workers for tools in industrial assembly production are met, the workers can take the tools when usingthe tools, automatic identification and statistics can be achieved on tool management, the tools are effectively prevented from being lost, and the registration process of tool entering and exiting is simplified.

The invention provides an RSSI (Received Signal Strength Indicator) distance measurement-based indoor positioning method, which comprises the following steps of: 1, constructing a map, establishing a geographic information map layer according to a road area type, and storing the geographic information map layer as a geographic information map layer file according to a fixed format; 2, the distance between a signal transmitting end and a reference node is known, the RSSI value of the position where the reference node is located is actually measured, the position coordinates of a target node to be measured are obtained through a wireless positioning algorithm based on distance measurement according to a logarithmic path loss model, and therefore indoor positioning based on RSSI distance measurement is achieved; 3, according to the type of a road area where the target is located, the geographic information of the road is taken as a constraint condition to be substituted into a corresponding Kalman filtering equation, and a target motion model based on course constraint is constructed; 4, according to the type of the road area where the target is located, the geographic information of the road serves as a constraint condition to be substituted into a corresponding Kalman filtering equation, and particle filtering based on map constraint is carried out.