This dataset was collected within the context of a research project aiming to develop an indoor positioning system for autonomous industrial vehicles. This positioning system is based on fusing data from Wi-Fi sensors, magnetic encoders, and an IMU, using a particle filter. Wi-Fi data is first processed using Wi-Fi fingerprinting. One of the unique characteristics of this system is that it uses Wi-Fi fingerprints collected simultaneously from multiple, synchronised, Wi-Fi interfaces. Some results about the benefits of using multiple Wi-Fi interfaces are described in: Moreira, A., Silva, I., Meneses, F., Nicolau, M. J., Pendao, C., & Torres-Sospedra, J. (2017, September). Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning. In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN) (pp. 1-8). IEEE. http://dx.doi.org/10.1109/IPIN.2017.8115914 These data were collected at a university building that resembles an industrial floor plant, with a total area of around 1000 m2. The data were collected in July 2017. The data collection setup was based on a Raspberry Pi 3 Model B with its internal Wi-Fi interface, and four additional USB Wi-Fi interfaces (Edimax EW-7811un).

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the scope of project UID/CEC/00319/2019, by the Portugal Incentive System for Research and Technological Development in the scope of projects in co-promotion no 002814/2015 (iFACTORY 2015-2018).