Robust localization is critical for the navigation and control of mobile robots. Global
Navigation Satellite Systems (GNSS), Visual-Inertial Odometry (VIO), and Simultaneous …

Virtual reality, augmented reality, robotics, and autonomous driving, have recently attracted
much attention from both academic and industrial communities, in which image-based …

Squared planar markers have become a popular method for pose estimation in applications
such as autonomous robots, unmanned vehicles and virtual trainers. The markers allow …

Static environment is a prerequisite for most of visual simultaneous localization and
mapping systems. Such a strong assumption limits the practical application of most existing …

Abstract Simultaneous Localization and Mapping is the process of simultaneously creating a
map of the environment while navigating in it. Most of the SLAM approaches use natural …

Aiming to deal with underwater localization for small-size robots in GPS-denied and
structured environment, this paper proposed a novel multi-sensor fusion-based self …

With the increasing involvement of industrial robots in manufacturing processes, the demand
for high quality robots has increased considerably. A high-quality robot is a robot having …

Smartphone camera or inertial measurement unit (IMU) sensor-based systems can be
independently used to provide accurate indoor positioning results. However, the accuracy of …

Automated visual data collection using autonomous unmanned aerial vehicles (UAVs) can
improve the accessibility and accuracy of the frequent data required for indoor construction …

SLAM is generally addressed using natural landmarks such as keypoints or texture, but it
poses some limitations, such as the need for enough textured environments and high …