Dynamic environments such as urban areas are still challenging for popular visual-inertial
odometry (VIO) algorithms. Existing datasets typically fail to capture the dynamic nature of …

In this paper, a three-dimensional vision-aided method is proposed to improve global
navigation satellite system (GNSS) real-time kinematic (RTK) positioning. To mitigate the …

In this article, we proposed a graduated nonconvexity (GNC) aided outlier mitigation method
for the improvement of the visual-inertial integrated navigation system (VINS) to face the …

In this paper, we develop a novel visual-inertial navigation system with motion constraint
(VINS-Motion), which extends the visual-inertial navigation system (VINS) to incorporate …

GNSS and LiDAR odometry are complementary as they provide absolute and relative
positioning, respectively. Their integration in a loosely-coupled manner is straightforward but …

Globally referenced and accurate positioning is of great significance for the application of
intelligent vehicular systems. The visual and inertial measurement unit (IMU) integrated …

The point feature, whose dynamic robustness has been widely studied, dominates in the
field of visual simultaneous localization and mapping (SLAM) or visual-inertial odometry …

Indoor positioning plays a crucial role in various domains. It is employed in various
applications, such as navigation, asset tracking, and location-based services (LBS), in …

Robust and precise localization and mapping are essential for autonomous systems. Light
detection and ranging (LiDAR) odometry are extensively studied in the past decades to …

Current state-of-the-art visual-inertial odometry algorithms work on the assumption that the
observed features are absolutely static, which leads to their weakness in dynamic …