This article presents ORB-SLAM3, the first system able to perform visual, visual-inertial and
multimap SLAM with monocular, stereo and RGB-D cameras, using pin-hole and fisheye …

Visual Simultaneous Localization and Map** (V-SLAM) uses the camera as a main
external sensor and creates environmental map while locating itself in the absence of a prior …

We propose ORBSLAM-Atlas, a system able to handle an unlimited number of disconnected
sub-maps, that includes a robust map merging algorithm able to detect submaps with …

We introduce a new system for Multi-Session SLAM which tracks camera motion across
multiple disjoint videos under a single global reference. Our approach couples the …

Augmented reality (AR) devices perform visual simultaneous localization and map**
(SLAM) to map the real world and localize themselves in it, enabling them to render the …

Continuous, robust, and precise localization is pivotal in enabling the autonomous operation
of robots and aircraft in intricate environments, particularly in the absence of GNSS (global …

A room map in a robot environment is needed because it can facilitate localization,
automatic navigation, and also object searching. In addition, when a room is difficult to …

Some underwater applications involve deploying multiple underwater Remotely Operated
Vehicles in a common area. Such applications require the localization of these vehicles, not …

The navigation is a substantial issue in the field of robotics. Simultaneous Localization and
Map** (SLAM) is a principle for many autonomous navigation applications, particularly in …