This paper introduces an efficient direct visual odometry (VO) algorithm using points and
lines. Pixels on lines are generally adopted in direct methods. However, the original …

Visual Simultaneous Localization and Map** (VSLAM), which serves as the primary
technique for locating autonomous vehicles, has gained tremendous development over the …

This letter introduces an efficient visual-inertial simultaneous localization and map**
(SLAM) method using point and line features. Currently, point-based SLAM methods do not …

This paper proposes an illumination-robust visual odometry (VO) system that incorporates
both accelerated learning-based corner point algorithms and an extended line feature …

This study discusses traditional techniques and deep learning-based methodologies for
monocular visual odometry. The paper presents an overview of state-of-the-art methods that …

This study presents a LiDAR-Visual-Inertial Odometry (LVIO) based on optimized visual
point-line features, which can effectively compensate for the limitations of a single sensor in …

This work presents SID-SLAM, a complete SLAM framework for RGB-D cameras. Our main
contribution is a semi-direct approach that, for the first time, combines tightly and indistinctly …

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

Low-feature environments are one of the main Achilles' heels of geometric computer vision
(CV) algorithms. In most human-built scenes often with low features, lines can be considered …