Multimodal federated learning (FL) aims to enrich model training in FL settings where clients
are collecting measurements across multiple modalities. However, key challenges to …

We construct a practical and real-time probabilistic framework for fine target tracking. In our
scenario, a Bluetooth Low-Energy (BLE) device navigating in the environment publishes …

Magnetic-assisted indoor localization has attracted significant attention because of its
commercial and social values. However, it is challenging to construct a robust and accurate …

The inertial navigation system (INS) based on zero velocity update (ZUPT) is a traditional
method for pedestrian positioning. The height information of INS will drift over time. A …

Height estimation is critical for precise indoor localization in multistorey buildings.
Traditionally, it is achieved by the barometric altimetry (BA)-based method, whose accuracy …

To alleviate the dependence on sensor quality and to reduce the accumulated error in
traditional inertial navigation systems, this paper proposes RUPT: a millimeter-wave radar …

Many methods using various sensors of the latest smartphones are being studied for
accurate indoor navigation. In particular, sensor fusion frameworks integrate all information …

There has been a surge in interest in driverless vehicles and other vehicular technologies
recently. Accurate sensing, perception and control technology that accounts for human …

The use of Robotic and Autonomous Systems (RAS) is becoming increasingly important for
the Royal Netherlands Army (RNLA), as it allows for the effective deployment of scarce …