Visual navigation is of vital importance for autonomous mobile robots. Most existing practical
perception-aware based visual navigation methods generally require prior-constructed …

Man-made buildings exhibit structural regularity, which can provide strongly geometrical
constraints for Visual-Inertial Odometry (VIO) systems. To make full use of the structural …

The vision-based localization of orchard mobile robots is an indispensable component of
orchard intelligent management, applicable to scenarios such as navigation and harvesting …

The visual simultaneous localization and mapping (SLAM) method under dynamic
environments is a hot and challenging issue in the robotic field. The oriented FAST and …

Visual-inertial odometry (VIO) has been widely applied in the autonomous navigation and
positioning of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) in …

Visual-inertial odometry (VIO) algorithms, fusing various features such as points and lines,
are able to improve their performance in challenging scenes while the running time severely …

Point-based simultaneous localization and mapping (SLAM) algorithms tend to degrade in
texture-less indoor environments. Considering the pervasive presence and structural …

Point and line features are complementary in Visual-Inertial Odometry (VIO) or Visual-Inertial
Simultaneous Localization And Mapping (VI-SLAM) systems. The advantage of combining …

Calibration and initialization of point feature-based simultaneous localization and mapping
(SLAM) systems are prone to performance degradation in challenging environments where …

Simultaneous localization and mapping (SLAM) and 3D reconstruction have numerous
applications for indoor ground wheeled robots such as floor sweeping and food delivery. To …