Purpose This paper aims to provide a better understanding of the challenges and potential
solutions in Visual Simultaneous Localization and Mapping (SLAM), laying the foundation …

Real-world objects and environments are predominantly composed of edge features
including straight lines and curves. Such edges are crucial elements for various applications …

We propose an approach for estimating the relative pose between calibrated image pairs by
jointly exploiting points, lines, and their coincidences in a hybrid manner. We investigate all …

The mobile robot relies on SLAM (Simultaneous Localization and Mapping) to provide
autonomous navigation and task execution in complex and unknown environments …

Simultaneous localization and mapping (SLAM) is required in many areas and especially
visual‐based SLAM (VSLAM) due to the low cost and strong scene recognition capabilities …

The accuracy of RGB-D SLAM systems is sensitive to the image quality, and can be
significantly compromised in adverse situations such as when input images are blurry …

Lines are interesting geometrical features commonly seen in indoor and urban
environments. There is missing a complete benchmark where one can evaluate lines from a …

Traditional monocular visual simultaneous localization and mapping (SLAM) systems rely
on point features or line features to estimate and optimize the camera trajectory and build a …

SLAM typically involves updating numerous landmarks to reconstruct scenes rather than
generating a topological depiction of the actual environment. Planar features, prevalent in …

Indoor localization has long been a challenging task due to the complexity and dynamism of
indoor environments. This paper proposes ULG-SLAM, a novel unsupervised learning and …