Omni-swarm: A decentralized omnidirectional visual–inertial–uwb state estimation system for aerial swarms

H Xu, Y Zhang, B Zhou, L Wang, X Yao… - Ieee transactions on …, 2022 - ieeexplore.ieee.org
Decentralized state estimation is one of the most fundamental components of autonomous
aerial swarm systems in GPS-denied areas; yet, it remains a highly challenging research …

Decentralized visual-inertial-UWB fusion for relative state estimation of aerial swarm

H Xu, L Wang, Y Zhang, K Qiu… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
The collaboration of unmanned aerial vehicles (UAVs) has become a popular research topic
for its practicability in multiple scenarios. The collaboration of multiple UAVs, which is also …

UWB-VIO fusion for accurate and robust relative localization of round robotic teams

S Zheng, Z Li, Y Liu, H Zhang, P Zheng… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
The relative pose estimation is one of the most fundamental components for multi-robot
systems, while it still remains an open and challenging research topic in infrastructure-free …

Swarm-lio: Decentralized swarm lidar-inertial odometry

F Zhu, Y Ren, F Kong, H Wu, S Liang… - … on robotics and …, 2023 - ieeexplore.ieee.org
Accurate self and relative state estimation are the critical preconditions for completing swarm
tasks, eg, collaborative autonomous exploration, target tracking, search and rescue. This …

Swarm-LIO2: Decentralized, Efficient LiDAR-Inertial Odometry for UAV Swarms

F Zhu, Y Ren, L Yin, F Kong, Q Liu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Aerial swarm systems possess immense potential in various aspects, such as cooperative
exploration, target tracking, search and rescue. Efficient, accurate self and mutual state …

Multi-robot relative positioning and orientation system based on UWB range and graph optimization

S Zheng, Z Li, Y Yin, Y Liu, H Zhang, P Zheng, X Zou - Measurement, 2022 - Elsevier
The relative position and orientation estimation is one of the most fundamental components
for multi-robot systems, while it still remains an open and challenging research topic in …

Learning-based anomaly detection and monitoring for swarm drone flights

H Ahn, HL Choi, M Kang, ST Moon - Applied Sciences, 2019 - mdpi.com
This paper addresses anomaly detection and monitoring for swarm drone flights. While the
current practice of swarm flight typically relies on the operator's naked eyes to monitor health …

[HTML][HTML] GAR: Gradient assisted routing for topology self-organization in dynamic mesh networks

A Samuylov, D Moltchanov, R Kovalchukov… - Computer …, 2022 - Elsevier
Modern mobile handheld devices, such as smartphones and tablets, feature multiple
wireless interfaces, some of which can support device-to-device communications, which …

Resonant Beam Enabled Relative Localization for UAV Swarm

S Du, M Xu, M Liu, G Zhang, S Xia… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The relative localization (RL) of unmanned aerial vehicle (UAV) swarms has gained
considerable traction within the realm of UAV formation control. However, most existing RL …

CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms

S Zhong, H Chen, Y Qi, D Feng, Z Chen, J Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
Collaborative state estimation using different heterogeneous sensors is a fundamental
prerequisite for robotic swarms operating in GPS-denied environments, posing a significant …