Visual-inertial simultaneous localization and mapping (VI-SLAM) is popular research topic in
robotics. Because of its advantages in terms of robustness, VI-SLAM enjoys wide …

Navigation/positioning systems have become critical to many applications, such as
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …

Purpose This study aims to present a visual-inertial simultaneous localization and mapping
(SLAM) method for accurate positioning and navigation of mobile robots in the event of …

This paper explores the pervasive challenges of pedestrian positioning using smartphones
in densely populated urban environments where Global Navigation Satellite System (GNSS) …

Simultaneous Localization and Mapping (SLAM) combining visual and inertial
measurements has achieved significant attention in the community of Robotics and …

Targeted at operations without adequate global navigation satellite system signals,
simultaneous localization and mapping (SLAM) has been widely applied in robotics and …

Abstract Small Unmanned Aircraft Systems (sUAS) are becoming very popular for solving a
multitude of problems. As sUAS solutions are applied to more often, it is evident that multiple …

Navigation from one place to another involves estimating location and orientation. As such,
navigation and location-based services are essential to our daily lives. Prevalent navigation …

Motion estimation by fusing data from at least a camera and an Inertial Measurement Unit
(IMU) enables many applications in robotics. However, among the multitude of Visual Inertial …

Pose estimation is the key step of simultaneous localization and mapping (SLAM). The
relationship between the rays captured by multiple light field cameras can provide more …