This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …

Global registration is a fundamental task that estimates the relative pose between two
viewpoints of 3D point clouds. However, there are two issues that degrade the performance …

In recent years, the demand for mapping construction sites or buildings using light detection
and ranging (LiDAR) sensors has been increased to model environments for efficient site …

Recently, several 4D radar datasets have been published due to its high resolution and
robustness in extreme weather conditions. However, most of the recent 4D radar dataset …

It is typically challenging for visual or visual-inertial odometry systems to handle the
problems of dynamic scenes and pure rotation. In this work, we design a novel visual-inertial …

Most existing visual-inertial navigation system (VINS) simply rejects dynamic object features
to improve navigation performance, rendering the loss of dynamic object motion information …

Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global
Navigation Satellite Systems (GNSS). Due to potential signal disruptions, redundant …

Most existing dynamic simultaneous localization and mapping (SLAM) systems simply
remove dynamic objects, resulting in the loss of dynamic object motion information that …

Simultaneous localization and mapping (SLAM) systems are proposed to estimate mobile
robot'poses and reconstruct maps of surrounding environments. Most SLAM systems …

The robustness of SLAM algorithms in challenging environmental conditions is crucial for
autonomous driving, but the impact of these conditions are unknown while given the …