In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …

The accuracy of navigation information is essential for modern transport systems. Such
information includes position, velocity and attitude. Because of the physical characteristics of …

Integration of global navigation satellite systems (GNSS) with other sensors, such as inertial
measurement units (IMU) and visual sensors, has been widely used to improve the …

Nowadays, high-precision navigation is a fundamental prerequisite for autonomous driving
technology. However, it is often difficult for a stand-alone sensor to meet the needs of high …

Accurate localization is crucial in the navigation of mobile robots. However, in other
circumstances, single-sensor localization faces different challenges, including software and …

High-accuracy localization systems for non-line-of-sight (NLOS) environments have been a
popular focus of research on indoor positioning. In particular, the use of ultra-wideband …

Multi-modal learning has made impressive progress in autonomous driving by leveraging
information from multiple sensors. Existing feature fusion methods make decisions by …

In the near future, multi-sensor fusion will be the core component to navigate the
autonomous driving platforms. This paper proposes new strategies to cope with the …

For the outdoor scenes with sparse features, the performance of inertial navigation system
(INS)/Lidar odometry (LO)-based simultaneous localization and mapping (SLAM) pose …

Most of the existing RGB-D simultaneous localization and mapping (SLAM) systems are
based on point features or point-line features or point-plane features. However, the existing …