This paper proposes a novel Blockchain-based indoor navigation system that combines a
foot-mounted dual-inertial measurement unit (IMU) setup and a zero-velocity update (ZUPT) …

Urban pedestrian navigation is a challenging issue as the most popular positioning source,
global navigation satellite systems (GNSSs), is severely affected by signal reflections or …

MEMS IMUs are the most common units for data collection in the field of pedestrian inertial
navigation, whereas on the data processing side a Kalman filter is a broadly used algorithm …

This paper proposes an outlier-robust pedestrian walking direction estimation method. The
outliers caused by the unexpected behavior of pedestrians, eg, wiping sweat, are detected …

This paper proposes a novel augmented Kalman filter-based attitude reference system
(ARS) that uses an inertial sensor comprised of a tri-axial gyroscope and a tri-axial …

GNSS-IMU-based player tracking data is widely used in sports and sport science to design
training programs and monitor training load. Based on GNSS and IMU technologies …

This paper presents an observer approach for a low-cost foot-mounted inertial pedestrian
navigation. The approach is based on the theory of invariant observer design, which …

As an important node in the dismantling and grouping of freight trains, the operational tasks
of the railway technical station are increasingly busy. Various business activities involve a …

Utilizing Micro-Electro-Mechanical-System (MEMS) Inertial-Measurement-Units (IMUs) for
determining north is increasingly attractive due to their improving performance, availability …

With the rapid development and widespread application of Inertial Measurement Units
(IMUs), IMU-based human localization has become critically important in environments …