Odometry is crucial for robot navigation, particularly in situations where global positioning
methods like global positioning system are unavailable. The main goal of odometry is to …

In recent years, autonomous robots have become ubiquitous in research and daily life.
Among many factors, public datasets play an important role in the progress of this field, as …

Determining the extrinsic parameter between multiple light detection and rangings (LiDARs)
and cameras is essential for autonomous robots, especially for solid-state LiDARs, where …

In this letter, we present an evolved version of Situational Graphs, which jointly models in a
single optimizable factor graph (1) a pose graph, as a set of robot keyframes comprising …

Accurate and reliable sensor calibration is essential to fuse LiDAR and inertial
measurements, which are usually available in robotic applications. In this article, we …

Modern robotic systems are required to operate in challenging environments, which demand
reliable localization under challenging conditions. LiDAR-based localization methods, such …

Purpose In recent decades, the field of robotic mapping has witnessed widespread research
and development in light detection and ranging (LiDAR)-based simultaneous localization …

Mobile robots should be aware of their situation, comprising the deep understanding of their
surrounding environment along with the estimation of its own state, to successfully make …

In dynamic environments, robots require instantaneous detection of moving events with
microseconds of latency. This task, known as moving event detection, is typically achieved …

We propose Human-centered 4D Scene Capture (HSC4D) to accurately and efficiently
create a dynamic digital world, containing large-scale indoor-outdoor scenes, diverse …