Autonomous Vehicles have become the focus of research around the world. Meanwhile, the
continuous development of various emerging technologies in recent years has paved the …

The capabilities of global navigation satellite systems (GNSS) are still increasing. This is due
to their continuous development-new satellites are sent into space, new constellations are …

This study proposes a tightly coupled multi-sensor Simultaneous Localization and Mapping
(SLAM) framework that integrates RGB-D and inertial measurements to achieve highly …

In this paper, the mobile robot position fusion algorithm is inaccurate. There is a delay, and
the map-construction accuracy is not high; an improvement method is proposed. First, the …

Pedestrian dead reckoning (PDR), used in state-of-the-art smartphones, calculates
pedestrian positions by using built-in inertial sensors. However, the complex and …

Traditionally, precision farm equipment often relies on real-time kinematics and global
positioning systems (RTK-GPS) for accurate position and velocity estimates. This approach …

Multilayer transport structures, such as elevated roads and tunnels, are increasingly used to
solve the growing traffic congestion problems in dense urban areas. It presents a challenge …

In GNSS/IMU integrated navigation systems, factors like satellite occlusion and non-line-of-
sight can degrade satellite positioning accuracy, thereby impacting overall navigation …

The objective of this study was to model a new drought index called the Fusion-based
Hydrological Meteorological Drought Index (FHMDI) to simultaneously monitor hydrological …

The global navigation satellite system (GNSS)/inertial navigation system (INS) integrated
system is widely used in the field of urban vehicle position and navigation due to its low cost …