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Offsite Evaluation of Localization Systems: Criteria, Systems, and Results From IPIN 2021 and 2022 Competitions
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, wide...
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| Published in: | IEEE Journal of Indoor and Seamless Positioning and Navigation 2024, Vol.2, p.92-129 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| cited_by | cdi_FETCH-LOGICAL-c1600-32e302a4dd99f60b58c014beeed918be932ddee5b2018e08e4469ebd474b3e6c3 |
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| cites | cdi_FETCH-LOGICAL-c1600-32e302a4dd99f60b58c014beeed918be932ddee5b2018e08e4469ebd474b3e6c3 |
| container_end_page | 129 |
| container_issue | |
| container_start_page | 92 |
| container_title | IEEE Journal of Indoor and Seamless Positioning and Navigation |
| container_volume | 2 |
| creator | Potorti, Francesco Crivello, Antonino Lee, Soyeon Vladimirov, Blagovest Park, Sangjoon Chen, Yushi Wang, Long Chen, Runze Zhao, Fang Zhuge, Yue Luo, Haiyong Perez-Navarro, Antoni Jimenez, Antonio R. Wang, Han Liang, Hengyi De Cock, Cedric Plets, David Cui, Yan Xiong, Zhi Li, Xiaodong Ding, Yiming Franco, Fernando Javier Alvarez Polo, Fernando Jesus Aranda Rodriguez, Felipe Parralejo Moreira, Adriano Pendao, Cristiano Silva, Ivo Ortiz, Miguel Zhu, Ni Li, Ziyou Renaudin, Valerie 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, Joaquin |
| 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. |
| doi_str_mv | 10.1109/JISPIN.2024.3355840 |
| format | article |
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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.</description><identifier>ISSN: 2832-7322</identifier><identifier>EISSN: 2832-7322</identifier><identifier>DOI: 10.1109/JISPIN.2024.3355840</identifier><identifier>CODEN: ISPNDR</identifier><language>eng</language><publisher>IEEE</publisher><subject>5G mobile communication ; Channel impulse response (CIR) positioning ; evaluation ; fifth-generation (5G) positioning ; foot-mounted inertial measurement unit (IMU) ; indoor navigation ; indoor positioning ; Navigation ; pedestrian navigation ; Sensor systems ; Sensors ; Smart phones ; smartphone-based positioning ; Tracking ; Training ; vehicle positioning</subject><ispartof>IEEE Journal of Indoor and Seamless Positioning and Navigation, 2024, Vol.2, p.92-129</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1600-32e302a4dd99f60b58c014beeed918be932ddee5b2018e08e4469ebd474b3e6c3</citedby><cites>FETCH-LOGICAL-c1600-32e302a4dd99f60b58c014beeed918be932ddee5b2018e08e4469ebd474b3e6c3</cites><orcidid>0000-0002-1616-4259 ; 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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.</description><subject>5G mobile communication</subject><subject>Channel impulse response (CIR) positioning</subject><subject>evaluation</subject><subject>fifth-generation (5G) positioning</subject><subject>foot-mounted inertial measurement unit (IMU)</subject><subject>indoor navigation</subject><subject>indoor positioning</subject><subject>Navigation</subject><subject>pedestrian navigation</subject><subject>Sensor systems</subject><subject>Sensors</subject><subject>Smart phones</subject><subject>smartphone-based positioning</subject><subject>Tracking</subject><subject>Training</subject><subject>vehicle 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Evaluation of Localization Systems: Criteria, Systems, and Results From IPIN 2021 and 2022 Competitions</title><author>Potorti, Francesco ; Crivello, Antonino ; Lee, Soyeon ; Vladimirov, Blagovest ; Park, Sangjoon ; Chen, Yushi ; Wang, Long ; Chen, Runze ; Zhao, Fang ; Zhuge, Yue ; Luo, Haiyong ; Perez-Navarro, Antoni ; Jimenez, Antonio R. ; Wang, Han ; Liang, Hengyi ; De Cock, Cedric ; Plets, David ; Cui, Yan ; Xiong, Zhi ; Li, Xiaodong ; Ding, Yiming ; Franco, Fernando Javier Alvarez ; Polo, Fernando Jesus Aranda ; Rodriguez, Felipe Parralejo ; Moreira, Adriano ; Pendao, Cristiano ; Silva, Ivo ; Ortiz, Miguel ; Zhu, Ni ; Li, Ziyou ; Renaudin, Valerie ; 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, Joaquin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1600-32e302a4dd99f60b58c014beeed918be932ddee5b2018e08e4469ebd474b3e6c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>5G mobile communication</topic><topic>Channel impulse response (CIR) positioning</topic><topic>evaluation</topic><topic>fifth-generation (5G) positioning</topic><topic>foot-mounted inertial measurement unit (IMU)</topic><topic>indoor navigation</topic><topic>indoor positioning</topic><topic>Navigation</topic><topic>pedestrian navigation</topic><topic>Sensor systems</topic><topic>Sensors</topic><topic>Smart phones</topic><topic>smartphone-based positioning</topic><topic>Tracking</topic><topic>Training</topic><topic>vehicle positioning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Potorti, Francesco</creatorcontrib><creatorcontrib>Crivello, Antonino</creatorcontrib><creatorcontrib>Lee, Soyeon</creatorcontrib><creatorcontrib>Vladimirov, Blagovest</creatorcontrib><creatorcontrib>Park, Sangjoon</creatorcontrib><creatorcontrib>Chen, Yushi</creatorcontrib><creatorcontrib>Wang, Long</creatorcontrib><creatorcontrib>Chen, Runze</creatorcontrib><creatorcontrib>Zhao, Fang</creatorcontrib><creatorcontrib>Zhuge, Yue</creatorcontrib><creatorcontrib>Luo, Haiyong</creatorcontrib><creatorcontrib>Perez-Navarro, Antoni</creatorcontrib><creatorcontrib>Jimenez, Antonio R.</creatorcontrib><creatorcontrib>Wang, Han</creatorcontrib><creatorcontrib>Liang, Hengyi</creatorcontrib><creatorcontrib>De Cock, Cedric</creatorcontrib><creatorcontrib>Plets, David</creatorcontrib><creatorcontrib>Cui, 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Wang</creatorcontrib><creatorcontrib>Luo, Kai</creatorcontrib><creatorcontrib>Ma, Ziyao</creatorcontrib><creatorcontrib>Gao, Yanbiao</creatorcontrib><creatorcontrib>Chang, Jiaxing</creatorcontrib><creatorcontrib>Ren, Hailong</creatorcontrib><creatorcontrib>Guo, Wenfang</creatorcontrib><creatorcontrib>Torres-Sospedra, Joaquin</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library Online</collection><collection>CrossRef</collection><jtitle>IEEE Journal of Indoor and Seamless Positioning and Navigation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Potorti, Francesco</au><au>Crivello, Antonino</au><au>Lee, Soyeon</au><au>Vladimirov, Blagovest</au><au>Park, Sangjoon</au><au>Chen, Yushi</au><au>Wang, Long</au><au>Chen, Runze</au><au>Zhao, Fang</au><au>Zhuge, Yue</au><au>Luo, Haiyong</au><au>Perez-Navarro, Antoni</au><au>Jimenez, Antonio R.</au><au>Wang, Han</au><au>Liang, Hengyi</au><au>De Cock, Cedric</au><au>Plets, David</au><au>Cui, Yan</au><au>Xiong, Zhi</au><au>Li, Xiaodong</au><au>Ding, Yiming</au><au>Franco, Fernando Javier Alvarez</au><au>Polo, Fernando Jesus Aranda</au><au>Rodriguez, Felipe Parralejo</au><au>Moreira, Adriano</au><au>Pendao, Cristiano</au><au>Silva, Ivo</au><au>Ortiz, Miguel</au><au>Zhu, Ni</au><au>Li, Ziyou</au><au>Renaudin, Valerie</au><au>Wei, Dongyan</au><au>Ji, Xinchun</au><au>Zhang, Wenchao</au><au>Wang, Yan</au><au>Ding, Longyang</au><au>Kuang, Jian</au><au>Zhang, Xiaobing</au><au>Dou, Zhi</au><au>Yang, Chaoqun</au><au>Kram, Sebastian</au><au>Stahlke, Maximilian</au><au>Mutschler, Christopher</au><au>Coene, Sander</au><au>Li, Chenglong</au><au>Venus, Alexander</au><au>Leitinger, Erik</au><au>Tertinek, Stefan</au><au>Witrisal, Klaus</au><au>Wang, Yi</au><au>Wang, Shaobo</au><au>Jin, Beihong</au><au>Zhang, Fusang</au><au>Su, Chang</au><au>Wang, Zhi</au><au>Li, Siheng</au><au>Li, Xiaodong</au><au>Li, Shitao</au><au>Pan, Mengguan</au><au>Zheng, Wang</au><au>Luo, Kai</au><au>Ma, Ziyao</au><au>Gao, Yanbiao</au><au>Chang, Jiaxing</au><au>Ren, Hailong</au><au>Guo, Wenfang</au><au>Torres-Sospedra, Joaquin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Offsite Evaluation of Localization Systems: Criteria, Systems, and Results From IPIN 2021 and 2022 Competitions</atitle><jtitle>IEEE Journal of Indoor and Seamless Positioning and Navigation</jtitle><stitle>JISPIN</stitle><date>2024</date><risdate>2024</risdate><volume>2</volume><spage>92</spage><epage>129</epage><pages>92-129</pages><issn>2832-7322</issn><eissn>2832-7322</eissn><coden>ISPNDR</coden><abstract>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.</abstract><pub>IEEE</pub><doi>10.1109/JISPIN.2024.3355840</doi><tpages>38</tpages><orcidid>https://orcid.org/0000-0002-1616-4259</orcidid><orcidid>https://orcid.org/0000-0002-9090-3961</orcidid><orcidid>https://orcid.org/0000-0002-1382-1575</orcidid><orcidid>https://orcid.org/0000-0001-8511-8558</orcidid><orcidid>https://orcid.org/0000-0002-4075-7601</orcidid><orcidid>https://orcid.org/0000-0003-1048-4849</orcidid><orcidid>https://orcid.org/0000-0001-9435-3330</orcidid><orcidid>https://orcid.org/0000-0003-4487-9224</orcidid><orcidid>https://orcid.org/0000-0002-4521-3873</orcidid><orcidid>https://orcid.org/0000-0002-2133-3045</orcidid><orcidid>https://orcid.org/0000-0001-6725-0782</orcidid><orcidid>https://orcid.org/0000-0002-7027-7633</orcidid><orcidid>https://orcid.org/0000-0003-2022-3191</orcidid><orcidid>https://orcid.org/0000-0003-3683-4034</orcidid><orcidid>https://orcid.org/0009-0007-3507-3284</orcidid><orcidid>https://orcid.org/0000-0001-5835-4539</orcidid><orcidid>https://orcid.org/0000-0001-5606-2794</orcidid><orcidid>https://orcid.org/0009-0001-0817-9207</orcidid><orcidid>https://orcid.org/0000-0002-2724-6989</orcidid><orcidid>https://orcid.org/0009-0000-8805-932X</orcidid><orcidid>https://orcid.org/0000-0002-3703-084X</orcidid><orcidid>https://orcid.org/0009-0008-8197-1330</orcidid><orcidid>https://orcid.org/0009-0001-9856-5856</orcidid><orcidid>https://orcid.org/0000-0002-7610-897X</orcidid><orcidid>https://orcid.org/0000-0002-8967-118X</orcidid><orcidid>https://orcid.org/0000-0003-4619-4384</orcidid><orcidid>https://orcid.org/0009-0003-1349-6180</orcidid><orcidid>https://orcid.org/0000-0002-7610-1452</orcidid><orcidid>https://orcid.org/0000-0001-6978-4171</orcidid><orcidid>https://orcid.org/0000-0003-3835-3920</orcidid><orcidid>https://orcid.org/0000-0002-8879-5076</orcidid><orcidid>https://orcid.org/0000-0002-4315-139X</orcidid><orcidid>https://orcid.org/0000-0001-8305-0676</orcidid><orcidid>https://orcid.org/0000-0001-7238-2181</orcidid><orcidid>https://orcid.org/0000-0002-7680-0632</orcidid><orcidid>https://orcid.org/0000-0001-9771-1930</orcidid><orcidid>https://orcid.org/0000-0002-0425-2841</orcidid><orcidid>https://orcid.org/0000-0003-4276-6373</orcidid><orcidid>https://orcid.org/0000-0001-8108-0230</orcidid><orcidid>https://orcid.org/0000-0003-4535-5406</orcidid><orcidid>https://orcid.org/0009-0000-6513-9933</orcidid><orcidid>https://orcid.org/0000-0001-6827-4225</orcidid><orcidid>https://orcid.org/0000-0002-4563-7414</orcidid><orcidid>https://orcid.org/0000-0002-9913-8119</orcidid><orcidid>https://orcid.org/0009-0008-8364-2688</orcidid><orcidid>https://orcid.org/0000-0002-4784-5778</orcidid><orcidid>https://orcid.org/0000-0002-6965-8201</orcidid><orcidid>https://orcid.org/0000-0003-4033-3558</orcidid><orcidid>https://orcid.org/0000-0002-4765-8905</orcidid><orcidid>https://orcid.org/0000-0002-4961-0032</orcidid><orcidid>https://orcid.org/0000-0002-6599-7898</orcidid><orcidid>https://orcid.org/0000-0003-3261-5619</orcidid><orcidid>https://orcid.org/0000-0001-5848-6902</orcidid><orcidid>https://orcid.org/0000-0002-2529-8021</orcidid><orcidid>https://orcid.org/0009-0003-3780-8484</orcidid><orcidid>https://orcid.org/0000-0002-7037-0635</orcidid><orcidid>https://orcid.org/0000-0003-1739-829X</orcidid><orcidid>https://orcid.org/0000-0002-3572-7707</orcidid><orcidid>https://orcid.org/0000-0002-6664-9692</orcidid><orcidid>https://orcid.org/0000-0002-1056-2133</orcidid><orcidid>https://orcid.org/0000-0002-4728-3437</orcidid><orcidid>https://orcid.org/0000-0003-3824-3094</orcidid><orcidid>https://orcid.org/0000-0002-5423-0624</orcidid><orcidid>https://orcid.org/0000-0002-6412-3961</orcidid><orcidid>https://orcid.org/0000-0002-4907-791X</orcidid><orcidid>https://orcid.org/0000-0003-4338-4334</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2832-7322 |
| ispartof | IEEE Journal of Indoor and Seamless Positioning and Navigation, 2024, Vol.2, p.92-129 |
| issn | 2832-7322 2832-7322 |
| language | eng |
| recordid | cdi_ieee_primary_10404047 |
| source | IEEE Xplore All Journals |
| subjects | 5G mobile communication Channel impulse response (CIR) positioning evaluation fifth-generation (5G) positioning foot-mounted inertial measurement unit (IMU) indoor navigation indoor positioning Navigation pedestrian navigation Sensor systems Sensors Smart phones smartphone-based positioning Tracking Training vehicle positioning |
| title | Offsite Evaluation of Localization Systems: Criteria, Systems, and Results From IPIN 2021 and 2022 Competitions |
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