Indoor Positioning and Guiding for Drivers

In this paper, we present an indoor positioning and guiding system for drivers, which is able to operate robustly in indoor car parks. Our proposal is able to estimate with a reasonable accuracy, the position of a vehicle as well as determining the best route and providing guiding instructions (visual, textual, and auditory) to the driver. To approximate the position of the vehicle, it uses Bayesian estimation able to combine three sources of information: 1) the inertial sensors of a mobile phone placed inside the vehicle; 2) Bluetooth low energy beacons, radiofrequency fingerprinting; and 3) an occupancy map. Our system was successfully tested in a real two-floor underground car park, where the system exhibits a good performance, and a robust and reliable behavior, being able to locate the vehicle and provide instructions to different drivers.