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

In 2008, Zhou et al. presented a survey paper summarizing the previous ten years of ISMAR
publications, which provided invaluable insights into the research challenges and trends …

This article presents a comparative analysis of a mobile robot trajectories computed by
various ROS-based SLAM systems. For this reason we developed a prototype of a mobile …

Abstract The Simultaneous Localization And Map** by an autonomous mobile robot–
known by its acronym SLAM–is a computationally demanding process for medium and large …

This paper presents a framework for direct visual-LiDAR SLAM that combines the sparse
depth measurement of light detection and ranging (LiDAR) with a monocular camera. The …

This paper describes a visual SLAM system based on stereo cameras and focused on real-
time localization for mobile robots. To achieve this, it heavily exploits the parallel nature of …

Keyframe-based SLAM has achieved great success in terms of accuracy, efficiency and
scalability. However, due to parallax requirement and delay of map expansion, traditional …

Augmented reality (AR) is a technique that allows to seamlessly composite virtual objects or
information into real scene. Compared to traditional text, images and videos, AR is a more …