Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitions
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Texto Completo: | https://hdl.handle.net/1822/93265 |
Resumo: | Indoor positioning is a thriving research area, which is slowly gaining market momentum. Its applications are mostly customized, ad hoc installations; ubiquitous applications analogous to Global Navigation Satellite System for outdoors are not available because of the lack of generic platforms, widely accepted standards and interoperability protocols. In this context, the indoor positioning and indoor navigation (IPIN) competition is the only long-term, technically sound initiative to monitor the state of the art of real systems by measuring their performance in a realistic environment. Most competing systems are pedestrian-oriented and based on the use of smartphones, but several competing tracks were set up, enabling comparison of an array of technologies. The two IPIN competitions described here include only off-site tracks. In contrast with on-site tracks where competitors bring their systems on-site—which were impossible to organize during 2021 and 2022—in off-site tracks competitors download prerecorded data from multiple sensors and process them using the EvaalAPI, a real-time, web-based emulation interface. As usual with IPIN competitions, tracks were compliant with the EvAAL framework, ensuring consistency of the measurement procedure and reliability of results. The main contribution of this work is to show a compilation of possible indoor positioning scenarios and different indoor positioning solutions to the same problem. |
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Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitionsChannel impulse response (CIR) positioningEvaluationFifth-generation (5G) positioningFoot-mounted inertial measurement unit (IMU)Indoor navigationIndoor positioningPedestrian navigationSmartphone-based positioningVehicle positioningEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaIndústria, inovação e infraestruturasIndoor positioning is a thriving research area, which is slowly gaining market momentum. Its applications are mostly customized, ad hoc installations; ubiquitous applications analogous to Global Navigation Satellite System for outdoors are not available because of the lack of generic platforms, widely accepted standards and interoperability protocols. In this context, the indoor positioning and indoor navigation (IPIN) competition is the only long-term, technically sound initiative to monitor the state of the art of real systems by measuring their performance in a realistic environment. Most competing systems are pedestrian-oriented and based on the use of smartphones, but several competing tracks were set up, enabling comparison of an array of technologies. The two IPIN competitions described here include only off-site tracks. In contrast with on-site tracks where competitors bring their systems on-site—which were impossible to organize during 2021 and 2022—in off-site tracks competitors download prerecorded data from multiple sensors and process them using the EvaalAPI, a real-time, web-based emulation interface. As usual with IPIN competitions, tracks were compliant with the EvAAL framework, ensuring consistency of the measurement procedure and reliability of results. The main contribution of this work is to show a compilation of possible indoor positioning scenarios and different indoor positioning solutions to the same problem.This work was supported in part by the Italian Ministry of Economic Development through the Chaallenge project under Grant CUP:B89J22002310005; in part by the of MSIT/IITP, Republic of Korea through ICT R&D program, under Grant 2021-0-0124, an augmented reality solution based on visual deep learning with 1-m accuracy for futuristic complex mall; in part by the National Key Research and Development Program under Grant 2020YFB2104200; in part by the National Natural Science Foundation of China under Grant 61872046 and Grant 62261042; in part by the Key Research Projects of the Joint Research Fund for Beijing Natural Science Foundation and the Fengtai Rail Transit Frontier Research Joint Fund under Grant L221003; in part by the Beijing Natural Science Foundation under Grant 4212024 and Grant 4222034; in part by the Strategic Priority Research Program of Chinese Academy of Sciences under Grant XDA28040000; in part by the Key Research and Development Project from Hebei Province under Grant 21310102D; in part by the Fundamental Research Funds for the Central Universities under Grant 2022RC13; in part by the Open Project of the Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences (Track 2, CamLoc)); in part by the European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska Curie under Grant 101023072 (ORIENTATE: Low-Cost Reliable Indoor Positioning in Smart Factories, http://orientate.dsi.uminho.pt/); in part by the Spanish national research projects under Grant PID2021-122642OB-C42, Grant PID2021-122642OB-C43, and Grant PID2021-122642OB-C44; in part by the MCIN/AEI/10.13039/501100011033/; in part by the ERDF A way of making Europe in part by the National Key Research and Development Program of China under Grant 2016YFB0502202 (Track 6, Team WHU-GD), and in part by the IMEC cofinanced project UWB-IR AAA (Track 7, Team imec-WAVES).Institute of Electrical and Electronics Engineers (IEEE)Universidade do MinhoPotortì, FrancescoCrivello, AntoninoLee, SoyeonVladimirov, BlagovestPark, SangjoonChen, YushiWang, LongChen, RunzeZhao, FangZhuge, YueLuo, HaiyongPerez-Navarro, AntoniJiménez, Antonio R.Wang, HanLiang, HengyiDe Cock, CedricPlets, DavidCui, YanXiong, ZhiLi, XiaodongDing, YimingFranco, Fernando Javier ÁlvarezPolo, Fernando Jesús ArandaRodríguez, Felipe ParralejoMoreira, AdrianoPendão, Cristiano GonçalvesSilva, Ivo Miguel MenezesOrtiz, MiguelZhu, NiLi, ZiyouRenaudin, ValérieWei, DongyanJi, XinchunZhang, WenchaoWang, YanDing, LongyangKuang, JianZhang, XiaobingDou, ZhiYang, ChaoqunKram, SebastianStahlke, MaximilianMutschler, ChristopherCoene, SanderLi, ChenglongVenus, AlexanderLeitinger, ErikTertinek, StefanWitrisal, KlausWang, YiWang, ShaoboJin, BeihongZhang, FusangSu, ChangWang, ZhiLi, SihengLi, XiaodongLi, ShitaoPan, MengguanZheng, WangLuo, KaiMa, ZiyaoGao, YanbiaoChang, JiaxingRen, HailongGuo, WenfangTorres-Sospedra, Joaquín2024-01-182024-01-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/93265engF. Potortì et al., "Offsite Evaluation of Localization Systems: Criteria, Systems, and Results From IPIN 2021 and 2022 Competitions," in IEEE Journal of Indoor and Seamless Positioning and Navigation, vol. 2, pp. 92-129, 20242832-732210.1109/JISPIN.2024.3355840https://ieeexplore.ieee.org/document/10404047info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-10-12T01:18:47Zoai:repositorium.sdum.uminho.pt:1822/93265Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:55:42.077283Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitions |
title |
Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitions |
spellingShingle |
Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitions Potortì, Francesco Channel impulse response (CIR) positioning Evaluation Fifth-generation (5G) positioning Foot-mounted inertial measurement unit (IMU) Indoor navigation Indoor positioning Pedestrian navigation Smartphone-based positioning Vehicle positioning Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Indústria, inovação e infraestruturas |
title_short |
Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitions |
title_full |
Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitions |
title_fullStr |
Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitions |
title_full_unstemmed |
Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitions |
title_sort |
Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitions |
author |
Potortì, Francesco |
author_facet |
Potortì, Francesco Crivello, Antonino Lee, Soyeon Vladimirov, Blagovest Park, Sangjoon Chen, Yushi Wang, Long Chen, Runze Zhao, Fang Zhuge, Yue Luo, Haiyong Perez-Navarro, Antoni Jiménez, Antonio R. Wang, Han Liang, Hengyi De Cock, Cedric Plets, David Cui, Yan Xiong, Zhi Li, Xiaodong Ding, Yiming Franco, Fernando Javier Álvarez Polo, Fernando Jesús Aranda Rodríguez, Felipe Parralejo Moreira, Adriano Pendão, Cristiano Gonçalves Silva, Ivo Miguel Menezes Ortiz, Miguel Zhu, Ni Li, Ziyou Renaudin, Valérie Wei, Dongyan Ji, Xinchun Zhang, Wenchao Wang, Yan Ding, Longyang Kuang, Jian Zhang, Xiaobing Dou, Zhi Yang, Chaoqun Kram, Sebastian Stahlke, Maximilian Mutschler, Christopher Coene, Sander Li, Chenglong Venus, Alexander Leitinger, Erik Tertinek, Stefan Witrisal, Klaus Wang, Yi Wang, Shaobo Jin, Beihong Zhang, Fusang Su, Chang Wang, Zhi Li, Siheng Li, Shitao Pan, Mengguan Zheng, Wang Luo, Kai Ma, Ziyao Gao, Yanbiao Chang, Jiaxing Ren, Hailong Guo, Wenfang Torres-Sospedra, Joaquín |
author_role |
author |
author2 |
Crivello, Antonino Lee, Soyeon Vladimirov, Blagovest Park, Sangjoon Chen, Yushi Wang, Long Chen, Runze Zhao, Fang Zhuge, Yue Luo, Haiyong Perez-Navarro, Antoni Jiménez, Antonio R. Wang, Han Liang, Hengyi De Cock, Cedric Plets, David Cui, Yan Xiong, Zhi Li, Xiaodong Ding, Yiming Franco, Fernando Javier Álvarez Polo, Fernando Jesús Aranda Rodríguez, Felipe Parralejo Moreira, Adriano Pendão, Cristiano Gonçalves Silva, Ivo Miguel Menezes Ortiz, Miguel Zhu, Ni Li, Ziyou Renaudin, Valérie Wei, Dongyan Ji, Xinchun Zhang, Wenchao Wang, Yan Ding, Longyang Kuang, Jian Zhang, Xiaobing Dou, Zhi Yang, Chaoqun Kram, Sebastian Stahlke, Maximilian Mutschler, Christopher Coene, Sander Li, Chenglong Venus, Alexander Leitinger, Erik Tertinek, Stefan Witrisal, Klaus Wang, Yi Wang, Shaobo Jin, Beihong Zhang, Fusang Su, Chang Wang, Zhi Li, Siheng Li, Shitao Pan, Mengguan Zheng, Wang Luo, Kai Ma, Ziyao Gao, Yanbiao Chang, Jiaxing Ren, Hailong Guo, Wenfang Torres-Sospedra, Joaquín |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Potortì, Francesco Crivello, Antonino Lee, Soyeon Vladimirov, Blagovest Park, Sangjoon Chen, Yushi Wang, Long Chen, Runze Zhao, Fang Zhuge, Yue Luo, Haiyong Perez-Navarro, Antoni Jiménez, Antonio R. Wang, Han Liang, Hengyi De Cock, Cedric Plets, David Cui, Yan Xiong, Zhi Li, Xiaodong Ding, Yiming Franco, Fernando Javier Álvarez Polo, Fernando Jesús Aranda Rodríguez, Felipe Parralejo Moreira, Adriano Pendão, Cristiano Gonçalves Silva, Ivo Miguel Menezes Ortiz, Miguel Zhu, Ni Li, Ziyou Renaudin, Valérie Wei, Dongyan Ji, Xinchun Zhang, Wenchao Wang, Yan Ding, Longyang Kuang, Jian Zhang, Xiaobing Dou, Zhi Yang, Chaoqun Kram, Sebastian Stahlke, Maximilian Mutschler, Christopher Coene, Sander Li, Chenglong Venus, Alexander Leitinger, Erik Tertinek, Stefan Witrisal, Klaus Wang, Yi Wang, Shaobo Jin, Beihong Zhang, Fusang Su, Chang Wang, Zhi Li, Siheng Li, Xiaodong Li, Shitao Pan, Mengguan Zheng, Wang Luo, Kai Ma, Ziyao Gao, Yanbiao Chang, Jiaxing Ren, Hailong Guo, Wenfang Torres-Sospedra, Joaquín |
dc.subject.por.fl_str_mv |
Channel impulse response (CIR) positioning Evaluation Fifth-generation (5G) positioning Foot-mounted inertial measurement unit (IMU) Indoor navigation Indoor positioning Pedestrian navigation Smartphone-based positioning Vehicle positioning Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Indústria, inovação e infraestruturas |
topic |
Channel impulse response (CIR) positioning Evaluation Fifth-generation (5G) positioning Foot-mounted inertial measurement unit (IMU) Indoor navigation Indoor positioning Pedestrian navigation Smartphone-based positioning Vehicle positioning Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Indústria, inovação e infraestruturas |
description |
Indoor positioning is a thriving research area, which is slowly gaining market momentum. Its applications are mostly customized, ad hoc installations; ubiquitous applications analogous to Global Navigation Satellite System for outdoors are not available because of the lack of generic platforms, widely accepted standards and interoperability protocols. In this context, the indoor positioning and indoor navigation (IPIN) competition is the only long-term, technically sound initiative to monitor the state of the art of real systems by measuring their performance in a realistic environment. Most competing systems are pedestrian-oriented and based on the use of smartphones, but several competing tracks were set up, enabling comparison of an array of technologies. The two IPIN competitions described here include only off-site tracks. In contrast with on-site tracks where competitors bring their systems on-site—which were impossible to organize during 2021 and 2022—in off-site tracks competitors download prerecorded data from multiple sensors and process them using the EvaalAPI, a real-time, web-based emulation interface. As usual with IPIN competitions, tracks were compliant with the EvAAL framework, ensuring consistency of the measurement procedure and reliability of results. The main contribution of this work is to show a compilation of possible indoor positioning scenarios and different indoor positioning solutions to the same problem. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-01-18 2024-01-18T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/93265 |
url |
https://hdl.handle.net/1822/93265 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
F. Potortì et al., "Offsite Evaluation of Localization Systems: Criteria, Systems, and Results From IPIN 2021 and 2022 Competitions," in IEEE Journal of Indoor and Seamless Positioning and Navigation, vol. 2, pp. 92-129, 2024 2832-7322 10.1109/JISPIN.2024.3355840 https://ieeexplore.ieee.org/document/10404047 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers (IEEE) |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers (IEEE) |
dc.source.none.fl_str_mv |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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