Autonomous driving vehicles require both a precise localization and mapping solution in
different driving environment. In this context, Simultaneous Localization and Mapping …

Navigation systems help users access unfamiliar environments. Current technological
advancements enable users to encapsulate these systems in handheld devices, which …

Distributed as an open‐source library since 2013, real‐time appearance‐based mapping
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …

Simultaneous localization and mapping (SLAM) is a fundamental technique block in the
indoor-navigation system for most autonomous vehicles and robots. SLAM aims at building …

Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …

Simultaneous localization and mapping responds to the problem of building a map of the
environment without any prior information and based on the data obtained from one or more …

Abstract Visual Simultaneous Localization and Mapping (SLAM) based on RGB-D data has
developed as a fundamental approach for robot perception over the past decades. There is …

Underwater scene is highly unstructured, full of various noise interferences. Moreover, GPS
information is not available in the underwater environment, which thus brings huge …

There are two indispensable methodologies for autonomous flights performed by unmanned
aerial vehicles (UAV). The first is flight control, and the other is simultaneous localization and …