Offsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitions

dc.contributor.authorPotortì, Francescopor
dc.contributor.authorCrivello, Antoninopor
dc.contributor.authorLee, Soyeonpor
dc.contributor.authorVladimirov, Blagovestpor
dc.contributor.authorPark, Sangjoonpor
dc.contributor.authorChen, Yushipor
dc.contributor.authorWang, Longpor
dc.contributor.authorChen, Runzepor
dc.contributor.authorZhao, Fangpor
dc.contributor.authorZhuge, Yuepor
dc.contributor.authorLuo, Haiyongpor
dc.contributor.authorPerez-Navarro, Antonipor
dc.contributor.authorJiménez, Antonio R.por
dc.contributor.authorWang, Hanpor
dc.contributor.authorLiang, Hengyipor
dc.contributor.authorDe Cock, Cedricpor
dc.contributor.authorPlets, Davidpor
dc.contributor.authorCui, Yanpor
dc.contributor.authorXiong, Zhipor
dc.contributor.authorLi, Xiaodongpor
dc.contributor.authorDing, Yimingpor
dc.contributor.authorFranco, Fernando Javier Álvarezpor
dc.contributor.authorPolo, Fernando Jesús Arandapor
dc.contributor.authorRodríguez, Felipe Parralejopor
dc.contributor.authorMoreira, Adrianopor
dc.contributor.authorPendão, Cristiano Gonçalvespor
dc.contributor.authorSilva, Ivo Miguel Menezespor
dc.contributor.authorOrtiz, Miguelpor
dc.contributor.authorZhu, Nipor
dc.contributor.authorLi, Ziyoupor
dc.contributor.authorRenaudin, Valériepor
dc.contributor.authorWei, Dongyanpor
dc.contributor.authorJi, Xinchunpor
dc.contributor.authorZhang, Wenchaopor
dc.contributor.authorWang, Yanpor
dc.contributor.authorDing, Longyangpor
dc.contributor.authorKuang, Jianpor
dc.contributor.authorZhang, Xiaobingpor
dc.contributor.authorDou, Zhipor
dc.contributor.authorYang, Chaoqunpor
dc.contributor.authorKram, Sebastianpor
dc.contributor.authorStahlke, Maximilianpor
dc.contributor.authorMutschler, Christopherpor
dc.contributor.authorCoene, Sanderpor
dc.contributor.authorLi, Chenglongpor
dc.contributor.authorVenus, Alexanderpor
dc.contributor.authorLeitinger, Erikpor
dc.contributor.authorTertinek, Stefanpor
dc.contributor.authorWitrisal, Klauspor
dc.contributor.authorWang, Yipor
dc.contributor.authorWang, Shaobopor
dc.contributor.authorJin, Beihongpor
dc.contributor.authorZhang, Fusangpor
dc.contributor.authorSu, Changpor
dc.contributor.authorWang, Zhipor
dc.contributor.authorLi, Sihengpor
dc.contributor.authorLi, Xiaodongpor
dc.contributor.authorLi, Shitaopor
dc.contributor.authorPan, Mengguanpor
dc.contributor.authorZheng, Wangpor
dc.contributor.authorLuo, Kaipor
dc.contributor.authorMa, Ziyaopor
dc.contributor.authorGao, Yanbiaopor
dc.contributor.authorChang, Jiaxingpor
dc.contributor.authorRen, Hailongpor
dc.contributor.authorGuo, Wenfangpor
dc.contributor.authorTorres-Sospedra, Joaquínpor
dc.date.accessioned2024-10-09T13:02:50Z
dc.date.available2024-10-09T13:02:50Z
dc.date.issued2024-01-18
dc.description.abstractIndoor 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.por
dc.description.sponsorshipThis 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).por
dc.distributioninternationalpor
dc.identifier.citationF. 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, 2024por
dc.identifier.doi10.1109/JISPIN.2024.3355840por
dc.identifier.eissn2832-7322
dc.identifier.urihttps://hdl.handle.net/1822/93265
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)por
dc.relationCUP:B89J22002310005por
dc.relation2021-0-0124por
dc.relation2020YFB2104200por
dc.relation61872046por
dc.relation62261042por
dc.relationL221003por
dc.relation4212024por
dc.relation4222034por
dc.relationXDA28040000por
dc.relation21310102Dpor
dc.relation101023072por
dc.relationPID2021-122642OB-C42por
dc.relationPID2021-122642OB-C43por
dc.relationPID2021-122642OB-C44por
dc.relationMCIN/AEI/10.13039/501100011033/por
dc.relation2016YFB0502202por
dc.relationUWB-IR AAApor
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/10404047por
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectChannel impulse response (CIR) positioningpor
dc.subjectEvaluationpor
dc.subjectFifth-generation (5G) positioningpor
dc.subjectFoot-mounted inertial measurement unit (IMU)por
dc.subjectIndoor navigationpor
dc.subjectIndoor positioningpor
dc.subjectPedestrian navigationpor
dc.subjectSmartphone-based positioningpor
dc.subjectVehicle positioningpor
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.subject.odsIndústria, inovação e infraestruturaspor
dc.titleOffsite evaluation of localization systems: criteria, systems, and results from IPIN 2021 and 2022 competitionspor
dc.typearticlepor
dspace.entity.typePublicationen
oaire.citationEndPage129por
oaire.citationStartPage92por
oaire.citationVolume2por
oaire.versionVoRpor
sdum.journalIEEE Journal of Indoor and Seamless Positioning and Navigationpor

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