Recently, imaged-based localization has become a hotspot in indoor localization research
due to its high accuracy and no additional infrastructure requirements. However …

This paper introduces rotation-equivariance as a self-supervisor to train inertial odometry
models. We demonstrate that the self-supervised scheme provides a powerful supervisory …

Navigating to a destination using smartphones has recently become a primary way in
people's daily lives. Positioning is the prerequisite condition before efficient path planning …

The installation process of numerous Bluetooth Low Energy (BLE) beacons in the indoor
positioning environment usually requires the manual measurement of the beacon's physical …

The pedestrian stride-length estimation is a crucial piece of personal behavior data for many
smartphone applications, such as health monitoring and indoor location. The performance of …

We introduce an algorithm that provides robust three-dimensional orientation of a
smartphone for pedestrian indoor localization. The algorithm focuses on integration of the …