After decades of development, LIDAR and visual SLAM technology has relatively matured
and been widely used in the military and civil fields. SLAM technology enables the mobile …

In this paper, we propose a survey of the Simultaneous Localization And Mapping (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …

Network localization and navigation (NLN) is a promising paradigm, in which mobile nodes
exploit spatiotemporal cooperation, to provide reliable location information for a diverse …

This paper describes the simultaneous localization and mapping (SLAM) problem and the
essential methods for solving the SLAM problem and summarizes key implementations and …

Many urban navigation applications (eg, au-tonomous navigation, driver assistance
systems) can benefit greatly from localization with centimeter accuracy. Yet such accuracy …

This article provides a comprehensive introduction into the simultaneous localization and
mapping problem, better known in its abbreviated form as SLAM. SLAM addresses the …

Addresses real-time implementation of the simultaneous localization and map-building
(SLAM) algorithm. It presents optimal algorithms that consider the special form of the …

This chapter provides a comprehensive introduction in to the simultaneous localization and
mapping problem, better known in its abbreviated form as SLAM. SLAM addresses the main …

We present a robust method for automatically matching features in images corresponding to
the same physical point on an object seen from two arbitrary viewpoints. Unlike conventional …

Reliable and accurate position information is of great importance for many mass-market and
emerging applications. Network localization and navigation (NLN) is a promising paradigm …