This article surveys recent progress and discusses future opportunities for simultaneous
localization and map** (SLAM) in extreme underground environments. SLAM in …

Applications of mobile robots are continuously capturing the importance in numerous areas
such as agriculture, surveillance, defense, and planetary exploration to name a few …

This article presents an accurate, highly efficient, and learning-free method for large-scale
odometry estimation using spinning radar, empirically found to generalize well across very …

This paper presents a system for robust, large-scale topological localisation using
Frequency-Modulated Continuous-Wave scanning radar which extends the state-of-the-art …

This paper presents an accurate, highly efficient and learning free method for large-scale
radar odometry estimation. By using a simple filtering technique that keeps the strongest …

Enabling autonomous robots to operate robustly in challenging environments is necessary
in a future with increased autonomy. For many autonomous systems, estimation and …

Autonomous driving technology has made remarkable progress in recent years,
revolutionizing transportation systems and paving the way for safer and more efficient …

The underwater domain is a challenging environment for robotics because widely used
electromagnetic devices must be substituted by acoustic equivalents, much slower and …

For advanced autonomous systems, precise and consistent ego-motion estimation is critical
to ensure system safety and performant closed-loop control. Unfortunately, traditional …

Simple Summary This paper presents a hierarchical approach to place recognition and pose
refinement for Frequency-Modulated Continuous-Wave (FMCW) scanning radar localisation …