LiDAR-based place recognition (LPR) plays a pivotal role in autonomous driving, which
assists Simultaneous Localization and Mapping (SLAM) systems in reducing accumulated …

Place recognition is an important capability for autonomously navigating vehicles operating
in complex environments and under changing conditions. It is a key component for tasks …

Abstract Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. Over the last two decades …

Integration of multiple sensor modalities and deep learning into Simultaneous Localization
And Mapping (SLAM) systems are areas of significant interest in current research. Multi …

Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. In the last two decades, LiDAR …

We present the DLR Planetary Stereo, Solid-State LiDAR, Inertial (S3LI) dataset, recorded
on Mt. Etna, Sicily, an environment analogous to the Moon and Mars, using a hand-held …

This paper is about extremely robust and lightweight localisation using LiDAR point clouds
based on instance segmentation and graph matching. We model 3D point clouds as fully …

Place recognition is a fundamental topic in computer vision and robotics. It plays a crucial
role in simultaneous localization and mapping (SLAM) systems to retrieve scenes from maps …

Robotic perception is currently at a cross-roads between modern methods, which operate in
an efficient latent space, and classical methods, which are mathematically founded and …

Localization for autonomous robots in prior maps is crucial for their functionality. This paper
offers a solution to this problem for indoor environments called InstaLoc, which operates on …