IPNL — Intelligent Positioning and Navigation LaboratoryIPIN-Examples
software PolyForm Noncommercial 1.0.0 (code) / CC BY-NC 4.0 (datasets)IPIN-Examples provides reproducible Python and Jupyter notebook implementations of the indoor-positioning and navigation algorithms presented in the 2025 Artech House book by Hsu, Zhang, and Wen. The repository pairs each book chapter’s methods with executable code and example datasets, intended as a teaching and reproducibility resource for students and researchers entering the field. Released under the PolyForm Noncommercial license, with datasets under CC BY-NC 4.0.
Repository: https://github.com/IPNL-POLYU/IPIN-Examples
Citation: Hsu, L. T., Zhang, G., Wen, W. (2025). Principles of Indoor Positioning and Indoor Navigation. Artech House.