In this paper, we present an open platform, termed OpenVINS, for visual-inertial estimation
research for both the academic community and practitioners from industry. The open …

Autonomous systems possess the features of inferring their own state, understanding their
surroundings, and performing autonomous navigation. With the applications of learning …

With the rise of deep learning, there is a fundamental change in visual simultaneous
localization and mapping (SLAM) algorithms toward developing different modules trained as …

State-of-the-art monocular visual-inertial odometry (VIO) approaches rely on sparse point
features in part due to their efficiency, robustness, and prevalence, while ignoring high-level …

Autonomous land navigation has been studied extensively in recent years to improve
vehicle location accuracy in the satellite-denial environment. However, many previous …

In recent years, the rapid development of unmanned aerial vehicle (UAV) technologies has
made data acquisition increasingly convenient, and three-dimensional (3D) reconstruction …

In this article, we revisit the optimal fusion of visual and inertial information from a monocular
camera and an inertial measurement unit and propose a novel parallel visual-inertial …

This paper proposes a LiDAR-inertial odometry that properly solves the uncertainty
estimation problem, guided by the rules of designing a consistent estimator. Our system is …

This paper studies the problem of multi-robot cooperative visual-inertial localization where
each robot is equipped with only a single camera and IMU. We develop two cooperative …

With significant advances in manufacturing technology, multiple sensors such as global
navigation satellite system (GNSS) devices, inertial measurement units (IMU) and cameras …