Simultaneous localization and mapping (SLAM) techniques are widely researched, since
they allow the simultaneous creation of a map and the sensors' pose estimation in an …

Abstract Autonomous Underwater Vehicles (AUVs) have been focused on by research
efforts because of their extensive applications in scientific, commercial as well as military …

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 …

High-dimensional nonlinear state estimation is at the heart of inertial-aided navigation
systems (INS). Traditional methods usually rely on good initialization and find difficulty in …

Over the last decade, the use of autonomous drone systems for surveying, search and
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …

Computer vision based indoor localization methods use either an infrastructure of static
cameras to track mobile entities (eg, people, robots) or cameras attached to the mobile …

Simultaneous localization and mapping (SLAM) is the process of constructing a global
model of an environment from local observations of it; this is a foundational capability for …

Visual navigation systems are susceptible to complex environments, while inertial
navigation systems (INS) are not affected by external factors. Hence, we present IC-GVINS …

Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry
(VIO), have attracted great attention recently. They are regarded as critical modules for …

Visual navigation (vNavigation) is a key and fundamental technology for artificial agents'
interaction with the environment to achieve advanced behaviors. Visual navigation for …