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

Autonomous driving vehicles require both a precise localization and map** solution in
different driving environment. In this context, Simultaneous Localization and Map** …

Aerial robots are widely deployed, but highly cluttered environments such as dense forests
remain inaccessible to drones and even more so to swarms of drones. In these scenarios …

This letter presents a computationally efficient and robust LiDAR-inertial odometry
framework. We fuse LiDAR feature points with IMU data using a tightly-coupled iterated …

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 …

Distributed as an open‐source library since 2013, real‐time appearance‐based map**
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …

As inertial and visual sensors are becoming ubiquitous, visual-inertial navigation systems
(VINS) have prevailed in a wide range of applications from mobile augmented reality to …

Head-mounted display (HMD) augmented reality (AR) has attracted more and more
attention in manufacturing activities, as it enables operators to access visual guidance in …

In recent years, autonomous robots have become ubiquitous in research and daily life.
Among many factors, public datasets play an important role in the progress of this field, as …

Simultaneous Localization and Map** is now widely adopted by many applications, and
researchers have produced very dense literature on this topic. With the advent of smart …