PosScanner

PosScanner is a software platform designed to collect, process, and visualize positional data from multiple sensor sources. It provides a unified toolset for real-time tracking and retrospective analysis of location information, with applications in robotics, surveying, logistics, and augmented reality. The project emphasizes interoperability, modularity, and extensibility, allowing developers to integrate diverse data streams and coordinate systems.

Key features include data ingestion from GPS and GNSS receivers, cellular and Wi‑Fi positioning, beacon-based localization, and inertial measurement units. It supports both streaming and batch workflows, enabling real-time dashboards as well as offline processing. The platform includes data fusion and filtering components (such as Kalman filter variants), sensor calibration and alignment tools, and geospatial transformations between coordinate reference systems. Supported output formats include NMEA, GPX, GeoJSON, and shapefiles, and storage backends range from local SQLite to PostgreSQL with PostGIS. An accessible API and a command-line interface facilitate automation, while a web-based visualization layer provides exploration and mapping capabilities. The architecture is modular and plugin-oriented, with a lightweight core and independently developed adapters for sensors and data sources.

PosScanner is used in robotics, autonomous equipment, asset tracking, and field surveying. It emphasizes reproducibility and traceability of position estimates, while noting that accuracy depends on sensor quality, calibration, and environmental conditions. Development is community-driven, with periodic releases and contributions from researchers, developers, and industry practitioners. Future work commonly discussed includes enhanced sensor fusion strategies, edge deployment optimizations, and expanded support for cloud-to-edge workflows. Related topics include global positioning systems, Kalman filtering, and geospatial data formats.