Adaptive Location Dataset for Cross-Scene Multimodal Indoor Localization

This dataset supports research on cross-scene multimodal indoor localization using WiFi and pedestrian dead reckoning (PDR). The dataset is organized into two main directories: Raw_Data: Contains the original collected data, including target-scene laboratory data and source-scene hall data. The target-scene data are divided into training routes, 10 regular test routes, and long-distance routes. Route_MAT: Contains processed MATLAB (.mat) files derived from the collected data. These files are organized according to the same scene and route categories and can be directly loaded by the MATLAB implementation. The dataset includes training data, 10 regular experimental routes, long-distance routes, and source-scene fingerprint data. The directory structure is designed to distinguish raw measurements from processed MATLAB data and facilitate reproducible experiments in cross-scene indoor localization. Note: This dataset is provided to support reproducible research and experimental evaluation in cross-scene multimodal indoor localization. Users are requested to cite this dataset using the DOI provided below and acknowledge the original authors when using the data.