We survey the current state of millimeter-wave (mmWave) radar applications in robotics with
a focus on unique capabilities, and discuss future opportunities based on the state of the art …

Localization is a crucial component for the navigation of autonomous vehicles. It
encompasses global localization and place recognition, allowing a system to identify …

This paper provides an in-depth review of deep learning techniques to address the
challenges of odometry and global ego-localization using frequency modulated continuous …

Loop Closure Detection (LCD) is an essential task in robotics and computer vision, serving
as a fundamental component for various applications across diverse domains. These …

There is a growing academic interest as well as commercial exploitation of millimetre-wave
scanning radar for autonomous vehicle localisation and scene understanding. Although …

Radar place recognition often involves encoding a live scan as a vector and matching this
vector to a database in order to recognise that the vehicle is in a location that it has visited …

Radar offers the advantage of providing additional physical properties related to observed
objects. In this study, we design a physical-enhanced radar-inertial odometry system that …

In the realm of robotics, the quest for achieving real-world autonomy, capable of executing
large-scale and long-term operations, has positioned place recognition (PR) as a …

Rescue robotics sets high requirements to perception algorithms due to the unstructured
and potentially vision-denied environments. Pivoting Frequency-Modulated Continuous …