Inertial sensors are widely utilized in smartphones, drones, vehicles, and wearable devices,
playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based …

Magnetic fields have attracted considerable attention in indoor localization due to their
ubiquitous and infrastructure-free characteristics. This survey provides a comprehensive …

Activity recognition problems such as human activity recognition and smartphone location
recognition can improve the accuracy of different navigation or healthcare tasks, which rely …

Pedestrian dead reckoning is a well-known approach for indoor navigation. There, the
smartphone's inertial sensors readings are used to determine the user position by utilizing …

The classic fusion localization techniques based on the Kalman filter (KF) framework have
been a focus of research community in the past decades, due to the limited computing …

Accurate indoor positioning is critical to a variety of use cases including tracking, proximity,
map**, and navigation. Existing positioning methods are either inaccurate (eg RSSI …

Indoor location-based service is a hot research topic whose application market size is
expected to grow from 41 billion by 2022 and 58 billion by 2023. As a portable …

The purpose of navigation is to determine the position, velocity, and orientation of manned
and autonomous platforms, humans, and animals. Obtaining accurate navigation commonly …

Pedestrian dead-reckoning (PDR) technique has high accuracy in short-term positioning
and is little affected by environments, but its cumulative error makes long-term positioning …

Smartphone-based inertial and magnetic sensors can be the basis for pedestrian
navigation, whenever external positioning signals are limited or unavailable. Such …