The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

Submapping and graphical methods have been shown to be valuable approaches to
simultaneous localization and mapping (SLAM), providing significant advantages over the …

The ability of self-localization is a basic requirement for an autonomous vehicle, and a prior
reconstruction of the environment is usually needed. This paper analyses the performances …

In this paper, we address the problem of identifying the potential sources of conflict between
information sources in the framework of belief function theory. To this aim, we propose a …

Currently, state-of-the-art simultaneous localization and mapping methods are capable of
generating large-scale and dense environmental maps. One primary reason may be the …

The issue of program comprehension is addressed from the software reuse perspective. In
particular the identification of abstract data types in existing program code is explored. A …

The localization and trajectory estimation of mobile robots is one of the fundamental
problems in contemporary robotics. To solve it, robots often rely on the laser scanner data …

In this paper, a graph-based hierarchical SLAM framework is proposed which ensures not
only the high-speed operation of graph-based SLAM, but also feasibility of large-scale 3D …

Laser‐based sensors have been used extensively in robotics and aerospace applications
for a variety of tasks, including navigation, collision avoidance, and mapping. This chapter …

This paper proposes a new relative map method for the efficiency of the monocular EKF-
SLAM. The landmarks in the traditional EKF-SLAM are fully covariant with each other and …