Simultaneous localization and mapping (SLAM), as one of the core prerequisite
technologies for intelligent mobile robots, has attracted much attention in recent years …

Visual simultaneous localization and mapping (SLAM) has attracted high attention over the
past few years. In this paper, a comprehensive survey of the state-of-the-art feature-based …

The recent advancements in Information and Communication Technology (ICT) as well as
increasing demand for vehicular safety has led to significant progressions in Autonomous …

The introduction of neural radiance fields has greatly improved the effectiveness of view
synthesis for monocular videos. However, existing algorithms face difficulties when dealing …

Most of the state-of-the-art visual simultaneous localization and mapping (V-SLAM)
algorithms perform well in structured environments. However, the assumption of a static …

Planes and edges are attractive features for simultaneous localization and mapping (SLAM)
in indoor environments because they can be reliably extracted and are robust to illumination …

A great number of visual simultaneous localization and mapping (VSLAM) systems need to
assume static features in the environment. However, moving objects can vastly impair the …

Aiming at the problems of slow convergence and easy fall into optimal local solution when
the classical ant colony optimization algorithm is applied to mobile robot path planning, an …

Abstract Simultaneous Localization and Mapping is one of the hotspots in the field of mobile
intelligent robot research. Over the past decades, many excellent SLAM systems with good …

Visual localization is a fundamental capability in robotics and has been well studied for
recent decades. Although many state-of-the-art algorithms have been proposed, great …