Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization

Ultra-wideband (UWB) localization methods have emerged as a cost-effective and accurate solution for GNSS-denied environments. There is a significant amount of previous research in terms of resilience of UWB ranging, with non-line-of-sight and multipath detection methods. However, little attention h...

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Main Authors: Sahar Salimpour, Paola Torrico Morón, Xianjia Yu, Tomi Westerlund, Jorge Peña-Queralta
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2023.1190296/full
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author Sahar Salimpour
Paola Torrico Morón
Xianjia Yu
Tomi Westerlund
Jorge Peña-Queralta
Jorge Peña-Queralta
author_facet Sahar Salimpour
Paola Torrico Morón
Xianjia Yu
Tomi Westerlund
Jorge Peña-Queralta
Jorge Peña-Queralta
author_sort Sahar Salimpour
collection DOAJ
description Ultra-wideband (UWB) localization methods have emerged as a cost-effective and accurate solution for GNSS-denied environments. There is a significant amount of previous research in terms of resilience of UWB ranging, with non-line-of-sight and multipath detection methods. However, little attention has been paid to resilience against disturbances in relative localization systems involving multiple nodes. This paper presents an approach to detecting range anomalies in UWB ranging measurements from the perspective of multi-robot cooperative localization. We introduce an approach to exploiting redundancy for relative localization in multi-robot systems, where the position of each node is calculated using different subsets of available data. This enables us to effectively identify nodes that present ranging anomalies and eliminate their effect within the cooperative localization scheme. We analyze anomalies created by timing errors in the ranging process, e.g., owing to malfunctioning hardware. However, our method is generic and can be extended to other types of ranging anomalies. Our approach results in a more resilient cooperative localization framework with a negligible impact in terms of the computational workload.
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spelling doaj.art-8e782e6a1cd3423e8c8e960150064da32023-12-22T04:20:01ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442023-12-011010.3389/frobt.2023.11902961190296Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localizationSahar Salimpour0Paola Torrico Morón1Xianjia Yu2Tomi Westerlund3Jorge Peña-Queralta4Jorge Peña-Queralta5Turku Intelligent Embedded and Robotic Systems (TIERS) Lab, University of Turku, Turku, FinlandTurku Intelligent Embedded and Robotic Systems (TIERS) Lab, University of Turku, Turku, FinlandTurku Intelligent Embedded and Robotic Systems (TIERS) Lab, University of Turku, Turku, FinlandTurku Intelligent Embedded and Robotic Systems (TIERS) Lab, University of Turku, Turku, FinlandTurku Intelligent Embedded and Robotic Systems (TIERS) Lab, University of Turku, Turku, FinlandSCAI Laboratory at SPZ, Swiss Federal School of Technology in Zürich–ETH Zürich, Zürich, SwitzerlandUltra-wideband (UWB) localization methods have emerged as a cost-effective and accurate solution for GNSS-denied environments. There is a significant amount of previous research in terms of resilience of UWB ranging, with non-line-of-sight and multipath detection methods. However, little attention has been paid to resilience against disturbances in relative localization systems involving multiple nodes. This paper presents an approach to detecting range anomalies in UWB ranging measurements from the perspective of multi-robot cooperative localization. We introduce an approach to exploiting redundancy for relative localization in multi-robot systems, where the position of each node is calculated using different subsets of available data. This enables us to effectively identify nodes that present ranging anomalies and eliminate their effect within the cooperative localization scheme. We analyze anomalies created by timing errors in the ranging process, e.g., owing to malfunctioning hardware. However, our method is generic and can be extended to other types of ranging anomalies. Our approach results in a more resilient cooperative localization framework with a negligible impact in terms of the computational workload.https://www.frontiersin.org/articles/10.3389/frobt.2023.1190296/fullmulti-robot systemsultra-wideband (UWB) localizationanomaly detectionmulti-robot localizationUWB positioningrelative localization
spellingShingle Sahar Salimpour
Paola Torrico Morón
Xianjia Yu
Tomi Westerlund
Jorge Peña-Queralta
Jorge Peña-Queralta
Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization
Frontiers in Robotics and AI
multi-robot systems
ultra-wideband (UWB) localization
anomaly detection
multi-robot localization
UWB positioning
relative localization
title Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization
title_full Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization
title_fullStr Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization
title_full_unstemmed Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization
title_short Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization
title_sort exploiting redundancy for uwb anomaly detection in infrastructure free multi robot relative localization
topic multi-robot systems
ultra-wideband (UWB) localization
anomaly detection
multi-robot localization
UWB positioning
relative localization
url https://www.frontiersin.org/articles/10.3389/frobt.2023.1190296/full
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