In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization
and Mapping (visual SLAM) techniques have gained significant interest from both the …

SLAM is an abbreviation for simultaneous localization and mapping, which is a technique for
estimating sensor motion and reconstructing structure in an unknown environment …

Classical visual simultaneous localization and mapping (SLAM) algorithms usually assume
the environment to be rigid. This assumption limits the applicability of those algorithms as …

Most SLAM (Simultaneous Localization and Mapping) algorithms are based on the
assumption that the scene is static. However, in practice, most real scenes usually contain …

This thesis is concerned with the problem of Simultaneous Localisation and Mapping
(SLAM) using visual data only. Given the video stream of a moving camera, we wish to …

The static world assumption is standard in most simultaneous localisation and mapping
(SLAM) algorithms. Increased deployment of autonomous systems to unstructured dynamic …

SLAM is generally addressed using natural landmarks such as keypoints or texture, but it
poses some limitations, such as the need for enough textured environments and high …

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 …

In this paper, we describe a novel method for discovering and incorporating higher level
map structure in a real-time visual simultaneous localization and mapping (SLAM) system …

Visual simultaneous localization and mapping (vSLAM) algorithms use device camera to
estimate agent's position and reconstruct structures in an unknown environment. As an …