Dataset

Localization accuracy varies significantly across multiple radio and optical technologies. The choice of which technology is a best-fit for a particular application is not only based on the accuracy alone but also on other factors including the cost, availability of the technology in commodity hardware such as mobile phones, and the need to have a pre-existing fixed infrastructure. As such, there is no one-size-fits-all solution and therefore we provide, from a single indoor testbed, localization data collected from three very different technologies including the narrowband Bluetooth Low Energy, the Ultra-Wideband system from Decawave, and an optical motion capture system from OptiTrack. By doing so, we hope to encourage research on benchmarking of multiple localization technologies, multi-technology data fusion techniques, fingerprinting, and calibration methods of less accurate localization systems using more accurate ones.