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Autori principali: Choe, Jun Hyeok, Shim, Inwook
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2407.03890
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author Choe, Jun Hyeok
Shim, Inwook
author_facet Choe, Jun Hyeok
Shim, Inwook
contents UWB has recently gained new attention as an auxiliary sensor in the field of robot localization due to its compactness and ease of distance measurement. Consequently, various UWB-related localization and dataset research have increased. Despite this broad interest, there is a lack of UWB datasets that thoroughly analyze the performance of UWB ranging measurement. To address this issue, our paper introduces a UWB dataset that examines UWB relative pose factors affecting ranging measurement. To the best of our knowledge, our dataset is the first to analyze these factors while rigorously providing precise ground-truth UWB poses. The dataset is accessible at https://github.com/cjhhalla/RCV_uwb_dataset .
format Preprint
id arxiv_https___arxiv_org_abs_2407_03890
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Addressing Relative Pose Impact on UWB Localization: Dataset Introduction and Analysis
Choe, Jun Hyeok
Shim, Inwook
Robotics
UWB has recently gained new attention as an auxiliary sensor in the field of robot localization due to its compactness and ease of distance measurement. Consequently, various UWB-related localization and dataset research have increased. Despite this broad interest, there is a lack of UWB datasets that thoroughly analyze the performance of UWB ranging measurement. To address this issue, our paper introduces a UWB dataset that examines UWB relative pose factors affecting ranging measurement. To the best of our knowledge, our dataset is the first to analyze these factors while rigorously providing precise ground-truth UWB poses. The dataset is accessible at https://github.com/cjhhalla/RCV_uwb_dataset .
title Addressing Relative Pose Impact on UWB Localization: Dataset Introduction and Analysis
topic Robotics
url https://arxiv.org/abs/2407.03890