Visual simultaneous localization and mapping (SLAM) has attracted high attention over the
past few years. In this paper, a comprehensive survey of the state-of-the-art feature-based …

Unmanned aerial systems (UASs) have become of considerable private and commercial
interest for a variety of jobs and entertainment in the past 10 years. This paper is a literature …

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

Traveling at constant velocity is the most efficient trajectory for most robotics applications.
Unfortunately without accelerometer excitation, monocular Visual-Inertial Odometry (VIO) …

The vision-based simultaneous localization and mapping (SLAM) method is a hot spot in the
robotic research field, and Oriented FAST and Rotated BRIEF (ORB) SLAM algorithm is one …

Abstract Visual Simultaneous Localization and Mapping (VSLAM) and Visual Odometry (VO)
are fundamental problems to be properly tackled for enabling autonomous and effective …

This work presents a cooperative monocular-based SLAM approach for multi-UAV systems
that can operate in GPS-denied environments. The main contribution of the work is to show …

Autonomous unmanned aerial vehicles work seamlessly within the GPS signal range, but
their performance deteriorates in GPS-denied regions. This paper presents a unique …

This paper aims to review current approaches for real-time artificial intelligence-based visual
Simultaneous Localization and Mapping (vSLAM) operating in dynamic environments …

This paper introduces an autonomous navigation system suitable for supporting a future
Mars Science Helicopter concept. This mission concept requires low-drift localization to …