Abstract:
Disclosed herein are an apparatus and method for precise positioning based on deep learning. The method performed by the apparatus includes setting a collection location and a collection environment, collecting wireless signal data based on the collection location and the collection environment, generating a magnitude map image for training from the wireless signal data, and generating a positioning DB model by learning the image characteristics of the magnitude map image for training through deep-learning-based training.
Abstract:
Disclosed herein is a method and apparatus for estimating the location of a terminal using the generation of virtual infrastructures. In the method of estimating the location of a terminal using the generation of virtual infrastructures according to the present invention, an initially estimated location of a terminal is calculated using a plurality of installed infrastructures. A plurality of virtual infrastructures are generated by symmetrically moving the plurality of infrastructures with respect to the initially estimated location of the terminal. The initially estimated location of the terminal is corrected using the plurality of infrastructures and the plurality of virtual infrastructures, and then the corrected estimated location of the terminal is recalculated.
Abstract:
Disclosed herein is a method and apparatus for estimating the location of a pedestrian using step length estimation model parameters. In the method of estimating a location of a pedestrian according to the present invention, mobile User Equipment (UE) having sensors generates positioning measurement information. The mobile UE requests positioning assistance information from a positioning server. The positioning server generates the positioning assistance information. The positioning server provides the positioning assistance information to the mobile UE. The mobile UE performs location estimation of the pedestrian using the positioning measurement information and the positioning assistance information.
Abstract:
Disclosed herein are a mobile-communication-based navigation service method for supporting emergency rescue and a service server using the method. The present invention relates to provision of an interactive navigation service between a rescuer and a person who needs to be rescued in a mobile-communication-based navigation service method for supporting emergency rescue.
Abstract:
Disclosed herein is an apparatus and method for correcting the location of a base station. The apparatus includes a data collection unit for receiving collected data including collection places and scan data acquired from the collection places from a collection-only terminal, and receiving scan data having no collection places from a user service terminal. A determination unit obtains correlations between respective base stations based on a number of times each base station in an identical search group is found in a search using the collected data or the scan data, and determines whether a base station has been moved, deleted or added, based on the correlations between respective base stations. A location specification unit specifies a location of the corresponding base station that has changed due to any one of the movement, deletion, and addition of the base station, based on results of the determination.
Abstract:
Disclosed herein are a user-participation data selection apparatus and method for updating a positioning infrastructure DB. The user user-participation data selection apparatus includes a data communication unit for transmitting and receiving user-participation data, a movement path reconstruction unit for reconstructing an entire information movement path corresponding to the user-participation data using all information included in the user-participation data, a reliability calculation unit for calculating reliability corresponding to the entire information movement path, and a data selection unit for selecting update-use data for updating a positioning infrastructure DB based on the reliability.
Abstract:
An apparatus for creating a link-type grid fingerprint database includes a collected data processing unit for receiving positioning resource information collected from a link, which represents a path along which a pedestrian can move in an indoor space, and storing the positioning resource information in a collection DB, and a database creation unit for creating a link-type fingerprint database based on the positioning resource information and information about the link, stored in the collection DB, and storing the created link-type grid fingerprint database in a positioning DB.
Abstract:
Disclosed herein are a positioning environment analysis apparatus, and a method and system for predicting location determination performance of a terminal. The presented system includes one or more collection devices for acquiring collected data that includes information about positioning resources for respective points, an LBS platform including a collection server for receiving the collected data from the one or more collection devices, and arranging and storing the collected data in a DB, and a positioning DB creation device for analyzing and processing the positioning resource information and creating a positioning DB to be used for location determination, and a positioning environment analysis apparatus for loading environment analysis data from one or more of the collection server, the positioning DB, and a user terminal, and evaluating and predicting, based on the environment analysis data, location determination performance values for respective points in a service area, for respective positioning resources.
Abstract:
Disclosed herein are an apparatus and method for positioning of uncollected points based on machine learning using matching wireless communication infrastructure points. The apparatus includes memory in which at least one program according to an embodiment is recorded and a processor for executing the program. The program may compare collected data acquired from wireless communication infrastructure with positioning data measured by a positioning target terminal and thereby extract matching feature points; create a fingerprint database of global grid cells, including uncollected points, for the extracted feature points in real time; and estimate the optimal composite location of the positioning target terminal based on the created fingerprint database.
Abstract:
Disclosed herein are an indoor positioning system and method. The indoor positioning method includes generating measurement information by measuring a geomagnetic field generated from a ferromagnetic substance present in indoor space, and a slope of a user terminal device, generating declination angle information and inclination angle information using the measurement information, generating true north navigation coordinate system-based geomagnetic field vector information using the declination angle information and the inclination angle information, receiving geomagnetic field heatmap information, generated using collection information that is collected at indoor reference locations, and performing indoor positioning based on the true north navigation coordinate system-based geomagnetic field vector information and the geomagnetic field heatmap information.