Indoor Position Correction Assisted by Encounter Users

With the rapidly growing demand for indoor location services, indoor positioning technology has undergone swift development. Among these technologies, the inertial sensor-based indoor positioning technique has garnered widespread attention due to its efficiency and cost-effectiveness. However, this method is still plagued by the impact of cumulative errors, limiting its extensive application in complex indoor environments. This study aims to explore and propose an indoor positioning correction technique assisted by user encounters. Leveraging the Bluetooth module embedded in smartphones, user encounters are accurately determined, facilitating the exchange of location information. Following an encounter, user position information and the timestamp of the last correction are obtained. Through a judgment based on the time interval and correction reference points, the decision is made on whether to perform location correction. This technique enhances the accuracy and stability of indoor positioning systems, providing a novel approach and method for the field of indoor location correction.