Indoor localization (IL) is a significant topic of study with several practical applications,
particularly in the context of the Internet of Things (IoT) and smart cities. The area of IL has …

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 …

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 …

Mapping an environment is essential for several robotic tasks, particularly for localization. In
this letter, we address the problem of mapping the environment using LiDAR point clouds …

Object-based maps are relevant for scene under-standing since they integrate geometric
and semantic information of the environment, allowing autonomous robots to robustly …

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 …

Lifelong indoor localization in a given map is the basis for navigation of autonomous mobile
robots. In this letter, we address the problem of robust localization in cluttered indoor …

Robots responsible for tasks over long time scales must be able to localize consistently and
scalably amid geometric, viewpoint, and appearance changes. Existing visual SLAM …

Global point cloud registration is essential in many robotics tasks like loop closing and
relocalization. Unfortunately, the registration often suffers from the low overlap between …

Mobile service robots are increasingly prevalent in human-centric, real-world domains,
operating autonomously in unconstrained indoor environments. In such a context, robotic …