The IPIN 2019 indoor localisation competition-description and results
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Publication Date: | 2020 |
Other Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/1822/70552 |
Summary: | IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m2 outdoors and and 6000 m2 indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks. |
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The IPIN 2019 indoor localisation competition-description and resultsbenchmarkingcamera-based positioningcompetitionfoot-mounted pedestrian dead reckoningIndoor localisationindoor navigationinertial-based positioningKalman filtermagnetic fieldparticle filtersensor fusionsmartphone-based positioningWi-Fi fingerprintingSensorsWireless fidelitySensor systemsReal-time systemsParticle measurementsAtmospheric measurementsStakeholdersEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaScience & TechnologyIPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m2 outdoors and and 6000 m2 indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks.The authors would like to thank Siemens, the Electronic and Telecommunications Research Institute (ETRI), the Korean Institute of Communications and Information Sciences (KICS), Ganko Food, J-Power Systems, and the other sponsors who provided prizes for the winners of the competition (see http://ipin-conference.org/2019/awards.html for a complete list).IEEEUniversidade do MinhoPotorti, FrancescoPark, SangjoonCrivello, AntoninoPalumbo, FilippoGirolami, MicheleBarsocchi, PaoloLee, SoyeonTorres-Sospedra, JoaquínRuiz, Antonio Ramon JimenezPerez-Navarro, AntoniMendoza-Silva, German MartinSeco, FernandoOrtiz, MiguelPerul, JohanRenaudin, ValerieKang, HyunwoongPark, SoyoungLee, Jae HongPark, Chan GookHa, JisuHan, JaeseungPark, ChangjunKim, KeunhyeLee, YonghyunGye, SeunghunLee, KeumryeolKim, EunjeeChoi, Jeong SikChoi, Yang SeokTalwar, ShilpaCho, Seong YunBen-Moshe, BoazScherbakov, AlexAntsfeld, LeonidSansano-Sansano, EmilioChidlovskii, BorisKronenwett, NikolaiProphet, SilviaLanday, YaelMarbel, RevitalZheng, LingxiangPeng, AoLin, ZhichaoWu, BangMa, ChengqiPoslad, StefanSelviah, David R.Wu, WeiMa, ZixiangZhang, WenchaoWei, DongyanYuan, HongJiang, Jun-BangHuang, Shao-YungLiu, Jing-WenSu, Kuan-WuNishiguchi, KazukiBousselham, WalidUchiyama, HideakiThomas, DiegoShimada, AtsushiTaniguchi, Rin-IchiroCortes Puschel, VicenteLungenstrass Poulsen, TomasAshraf, ImranLee, ChanseokAli, Muhammad UsmanIm, YeongjunKim, GunzungEom, JeongsookHur, SoojungPark, YongwanOpiela, MiroslavMoreira, AdrianoNicolau, Maria JoãoPendão, Cristiano GonçalvesSilva, Ivo Miguel MenezesMeneses, FilipeCosta, AntónioTrogh, JensPlets, DavidChien, Ying-RenChang, Tzu-YuFang, Shih-HauTsao, Yu20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/70552engF. Potortì et al., "The IPIN 2019 Indoor Localisation Competition—Description and Results," in IEEE Access, vol. 8, pp. 206674-206718, 2020, doi: 10.1109/ACCESS.2020.30372212169-353610.1109/ACCESS.2020.3037221https://ieeexplore.ieee.org/document/9253514info: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:RCAAP2024-05-11T04:18:39Zoai:repositorium.sdum.uminho.pt:1822/70552Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:44:59.696246Repositórios 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 |
The IPIN 2019 indoor localisation competition-description and results |
title |
The IPIN 2019 indoor localisation competition-description and results |
spellingShingle |
The IPIN 2019 indoor localisation competition-description and results Potorti, Francesco benchmarking camera-based positioning competition foot-mounted pedestrian dead reckoning Indoor localisation indoor navigation inertial-based positioning Kalman filter magnetic field particle filter sensor fusion smartphone-based positioning Wi-Fi fingerprinting Sensors Wireless fidelity Sensor systems Real-time systems Particle measurements Atmospheric measurements Stakeholders Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
title_short |
The IPIN 2019 indoor localisation competition-description and results |
title_full |
The IPIN 2019 indoor localisation competition-description and results |
title_fullStr |
The IPIN 2019 indoor localisation competition-description and results |
title_full_unstemmed |
The IPIN 2019 indoor localisation competition-description and results |
title_sort |
The IPIN 2019 indoor localisation competition-description and results |
author |
Potorti, Francesco |
author_facet |
Potorti, Francesco Park, Sangjoon Crivello, Antonino Palumbo, Filippo Girolami, Michele Barsocchi, Paolo Lee, Soyeon Torres-Sospedra, Joaquín Ruiz, Antonio Ramon Jimenez Perez-Navarro, Antoni Mendoza-Silva, German Martin Seco, Fernando Ortiz, Miguel Perul, Johan Renaudin, Valerie Kang, Hyunwoong Park, Soyoung Lee, Jae Hong Park, Chan Gook Ha, Jisu Han, Jaeseung Park, Changjun Kim, Keunhye Lee, Yonghyun Gye, Seunghun Lee, Keumryeol Kim, Eunjee Choi, Jeong Sik Choi, Yang Seok Talwar, Shilpa Cho, Seong Yun Ben-Moshe, Boaz Scherbakov, Alex Antsfeld, Leonid Sansano-Sansano, Emilio Chidlovskii, Boris Kronenwett, Nikolai Prophet, Silvia Landay, Yael Marbel, Revital Zheng, Lingxiang Peng, Ao Lin, Zhichao Wu, Bang Ma, Chengqi Poslad, Stefan Selviah, David R. Wu, Wei Ma, Zixiang Zhang, Wenchao Wei, Dongyan Yuan, Hong Jiang, Jun-Bang Huang, Shao-Yung Liu, Jing-Wen Su, Kuan-Wu Nishiguchi, Kazuki Bousselham, Walid Uchiyama, Hideaki Thomas, Diego Shimada, Atsushi Taniguchi, Rin-Ichiro Cortes Puschel, Vicente Lungenstrass Poulsen, Tomas Ashraf, Imran Lee, Chanseok Ali, Muhammad Usman Im, Yeongjun Kim, Gunzung Eom, Jeongsook Hur, Soojung Park, Yongwan Opiela, Miroslav Moreira, Adriano Nicolau, Maria João Pendão, Cristiano Gonçalves Silva, Ivo Miguel Menezes Meneses, Filipe Costa, António Trogh, Jens Plets, David Chien, Ying-Ren Chang, Tzu-Yu Fang, Shih-Hau Tsao, Yu |
author_role |
author |
author2 |
Park, Sangjoon Crivello, Antonino Palumbo, Filippo Girolami, Michele Barsocchi, Paolo Lee, Soyeon Torres-Sospedra, Joaquín Ruiz, Antonio Ramon Jimenez Perez-Navarro, Antoni Mendoza-Silva, German Martin Seco, Fernando Ortiz, Miguel Perul, Johan Renaudin, Valerie Kang, Hyunwoong Park, Soyoung Lee, Jae Hong Park, Chan Gook Ha, Jisu Han, Jaeseung Park, Changjun Kim, Keunhye Lee, Yonghyun Gye, Seunghun Lee, Keumryeol Kim, Eunjee Choi, Jeong Sik Choi, Yang Seok Talwar, Shilpa Cho, Seong Yun Ben-Moshe, Boaz Scherbakov, Alex Antsfeld, Leonid Sansano-Sansano, Emilio Chidlovskii, Boris Kronenwett, Nikolai Prophet, Silvia Landay, Yael Marbel, Revital Zheng, Lingxiang Peng, Ao Lin, Zhichao Wu, Bang Ma, Chengqi Poslad, Stefan Selviah, David R. Wu, Wei Ma, Zixiang Zhang, Wenchao Wei, Dongyan Yuan, Hong Jiang, Jun-Bang Huang, Shao-Yung Liu, Jing-Wen Su, Kuan-Wu Nishiguchi, Kazuki Bousselham, Walid Uchiyama, Hideaki Thomas, Diego Shimada, Atsushi Taniguchi, Rin-Ichiro Cortes Puschel, Vicente Lungenstrass Poulsen, Tomas Ashraf, Imran Lee, Chanseok Ali, Muhammad Usman Im, Yeongjun Kim, Gunzung Eom, Jeongsook Hur, Soojung Park, Yongwan Opiela, Miroslav Moreira, Adriano Nicolau, Maria João Pendão, Cristiano Gonçalves Silva, Ivo Miguel Menezes Meneses, Filipe Costa, António Trogh, Jens Plets, David Chien, Ying-Ren Chang, Tzu-Yu Fang, Shih-Hau Tsao, Yu |
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 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 |
Potorti, Francesco Park, Sangjoon Crivello, Antonino Palumbo, Filippo Girolami, Michele Barsocchi, Paolo Lee, Soyeon Torres-Sospedra, Joaquín Ruiz, Antonio Ramon Jimenez Perez-Navarro, Antoni Mendoza-Silva, German Martin Seco, Fernando Ortiz, Miguel Perul, Johan Renaudin, Valerie Kang, Hyunwoong Park, Soyoung Lee, Jae Hong Park, Chan Gook Ha, Jisu Han, Jaeseung Park, Changjun Kim, Keunhye Lee, Yonghyun Gye, Seunghun Lee, Keumryeol Kim, Eunjee Choi, Jeong Sik Choi, Yang Seok Talwar, Shilpa Cho, Seong Yun Ben-Moshe, Boaz Scherbakov, Alex Antsfeld, Leonid Sansano-Sansano, Emilio Chidlovskii, Boris Kronenwett, Nikolai Prophet, Silvia Landay, Yael Marbel, Revital Zheng, Lingxiang Peng, Ao Lin, Zhichao Wu, Bang Ma, Chengqi Poslad, Stefan Selviah, David R. Wu, Wei Ma, Zixiang Zhang, Wenchao Wei, Dongyan Yuan, Hong Jiang, Jun-Bang Huang, Shao-Yung Liu, Jing-Wen Su, Kuan-Wu Nishiguchi, Kazuki Bousselham, Walid Uchiyama, Hideaki Thomas, Diego Shimada, Atsushi Taniguchi, Rin-Ichiro Cortes Puschel, Vicente Lungenstrass Poulsen, Tomas Ashraf, Imran Lee, Chanseok Ali, Muhammad Usman Im, Yeongjun Kim, Gunzung Eom, Jeongsook Hur, Soojung Park, Yongwan Opiela, Miroslav Moreira, Adriano Nicolau, Maria João Pendão, Cristiano Gonçalves Silva, Ivo Miguel Menezes Meneses, Filipe Costa, António Trogh, Jens Plets, David Chien, Ying-Ren Chang, Tzu-Yu Fang, Shih-Hau Tsao, Yu |
dc.subject.por.fl_str_mv |
benchmarking camera-based positioning competition foot-mounted pedestrian dead reckoning Indoor localisation indoor navigation inertial-based positioning Kalman filter magnetic field particle filter sensor fusion smartphone-based positioning Wi-Fi fingerprinting Sensors Wireless fidelity Sensor systems Real-time systems Particle measurements Atmospheric measurements Stakeholders Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
topic |
benchmarking camera-based positioning competition foot-mounted pedestrian dead reckoning Indoor localisation indoor navigation inertial-based positioning Kalman filter magnetic field particle filter sensor fusion smartphone-based positioning Wi-Fi fingerprinting Sensors Wireless fidelity Sensor systems Real-time systems Particle measurements Atmospheric measurements Stakeholders Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática Science & Technology |
description |
IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m2 outdoors and and 6000 m2 indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2020-01-01T00:00:00Z |
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 |
http://hdl.handle.net/1822/70552 |
url |
http://hdl.handle.net/1822/70552 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
F. Potortì et al., "The IPIN 2019 Indoor Localisation Competition—Description and Results," in IEEE Access, vol. 8, pp. 206674-206718, 2020, doi: 10.1109/ACCESS.2020.3037221 2169-3536 10.1109/ACCESS.2020.3037221 https://ieeexplore.ieee.org/document/9253514 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
IEEE |
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IEEE |
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