Contest Abstract : IMU-Aided Magneto-Inductive Localization

In this work, we propose an infrastructure-based indoor localization system that exploits the predictable spatiotemporal features of a local magnetic field. The system also relies on inertial data in order to map the environment and track the user’s location. Additionally, WiFi access points may be used to improve the performance.