Upon publication almost 15 years ago, the first edition almost instantly became a trusted
reference, setting the stage for the coming decade, in which the explosion in research and …

We present a modular and extensible approach to integrate noisy measurements from
multiple heterogeneous sensors that yield either absolute or relative observations at …

The so-called direct visual SLAM methods have shown a great potential in estimating a
semidense or fully dense reconstruction of the scene, in contrast to the sparse …

With the wide application of SLAM in fields such as autonomous driving and robot
navigation, higher requirements for human-robot interaction capabilities in real scenes have …

This paper addresses the problem of calculating the accurate position of a GNSS device
operating in an urban canyon, where lines of sight (LOS) with navigation satellites are too …

摘要提出一种激光雷达SLAM (simultaneouslocalizationandmapping) 位姿优化算法.
该算法基于图优化算法理论并融合GNSS (globalnavigationsatellitesystem) 数据 …

The objective of this study was to achieve simultaneous localization and mapping (SLAM) of
firefighter robots for petrochemical complexes. Consistency of the SLAM map is important …

An accurate and robust global navigation system is a key component for autonomous
Unmanned Aerial Systems (UAS). In this context, great challenges arise particularly …

Micro aerial vehicles (MAVs) are ideal platforms for surveillance and search and rescue in
confined indoor and outdoor environments due to their small size, superior mobility, and …

Navigation in GPS-denied environments is a critical challenge for autonomous mobile
platforms such as drones. The concept of simultaneous localization and mapping (SLAM) …