An image line segment is a fundamental low-level visual feature that delineates straight,
slender, and uninterrupted portionsof objects and scenarios within images. Detection and …

Simultaneous localization and mapping (SLAM) is widely used in various fields, such as
unmanned driving, robotics, and VR. The SLAM system with multiple landmarks is also a …

Weak texture and motion blur are always challenging problems for visual-inertial odometry
(VIO) systems. To improve accuracy of VIO systems in the challenging scenes, we propose a …

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 …

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

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

Similar to points, lines are also the basis for many vision applications. Line segments
provide more structured information and are more robust than point features, especially for …

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

Lidar-Visual-Inertial SLAM (LVINS) provides a compelling solution for accurate and robust
state estimation and mapping, integrating complementary information from multi-sensor …

Due to the low-quality sensors of consumer-grade devices, such as smartphones, traditional
point-based visual–inertial simultaneous localization and mapping (SLAM) techniques …