Precise and accurate location information services even in underground and indoor spaces where GPS does not reach
The processees of map creation and data collection are merged into one process.
The real-time combination of 3D point cloud data and hybrid location information reduces time and cost required for introducing location information services by 1/10 compared to the existing processes. Further, it is possible to collect space data fast in complex indoor spaces where cars and robots cannot pass.
Upload map data saved in the smartphone and Collect space data by walking along a path
Collect space data on a grid map by walking along a virtual path created automatically on the smartphone.
Data quality by service area is visualized through AI wireless infrastrcuture scanning. A parameter is set automatically and data quality can be improved by assessing the visualized data. Understanding the location infrastructure environment enables the creation of a spatial database consisting of quality data.
Probability values are calculated through real-time scanning and AI algorithms enable optimal parameter setting and precise positioing. Vertical movement is detected using barometric pressure information and accurate location information services are provided using PDR-based motion estimation.
A spatial database is updated automatically when location infrastructure changes (e.g. Wi-Fi, BLE, etc.) are detected through scanning between the database and crowdsourced data in order to maintain the up-to-date database.
One-stop process reduces time and cost as it simplifies the existing complicated location information service processes into one process.