Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/82092

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dc.contributor.authorPotorti, Francescopor
dc.contributor.authorTorres-Sospedra, Joaquínpor
dc.contributor.authorQuezada-Gaibor, Darwinpor
dc.contributor.authorJimenez, Antonio Ramonpor
dc.contributor.authorSeco, Fernandopor
dc.contributor.authorPerez-Navarro, Antonipor
dc.contributor.authorOrtiz, Miguelpor
dc.contributor.authorZhu, Nipor
dc.contributor.authorRenaudin, Valeriepor
dc.contributor.authorIchikari, Ryosukepor
dc.contributor.authorShimomura, Ryopor
dc.contributor.authorOhta, Nozomupor
dc.contributor.authorNagae, Satsukipor
dc.contributor.authorKurata, Takeshipor
dc.contributor.authorWei, Dongyanpor
dc.contributor.authorJi, Xinchunpor
dc.contributor.authorZhang, Wenchaopor
dc.contributor.authorKram, Sebastianpor
dc.contributor.authorStahlke, Maximilianpor
dc.contributor.authorMutschler, Christopherpor
dc.contributor.authorCrivello, Antoninopor
dc.contributor.authorBarsocchi, Paolopor
dc.contributor.authorGirolami, Michelepor
dc.contributor.authorPalumbo, Filippopor
dc.contributor.authorChen, Ruizhipor
dc.contributor.authorWu, Yuanpor
dc.contributor.authorLi, Weipor
dc.contributor.authorYu, Yuepor
dc.contributor.authorXu, Shihaopor
dc.contributor.authorHuang, Lixiongpor
dc.contributor.authorLiu, Taopor
dc.contributor.authorKuang, Jianpor
dc.contributor.authorNiu, Xiaojipor
dc.contributor.authorYoshida, Takutopor
dc.contributor.authorNagata, Yoshiterupor
dc.contributor.authorFukushima, Yutopor
dc.contributor.authorFukatani, Nobuyapor
dc.contributor.authorHayashida, Nozomipor
dc.contributor.authorAsai, Yusukepor
dc.contributor.authorUrano, Kentapor
dc.contributor.authorGe, Wenfeipor
dc.contributor.authorLee, Nien-Tingpor
dc.contributor.authorFang, Shih-Haupor
dc.contributor.authorJie, You-Chengpor
dc.contributor.authorYoung, Shawn-Rongpor
dc.contributor.authorChien, Ying-Renpor
dc.contributor.authorYu, Chih-Chiehpor
dc.contributor.authorMa, Chengqipor
dc.contributor.authorWu, Bangpor
dc.contributor.authorZhang, Weipor
dc.contributor.authorWang, Yankunpor
dc.contributor.authorFan, Yongleipor
dc.contributor.authorPoslad, Stefanpor
dc.contributor.authorSelviah, David R.por
dc.contributor.authorWang, Weixipor
dc.contributor.authorYuan, Hongpor
dc.contributor.authorYonamoto, Yoshitomopor
dc.contributor.authorYamaguchi, Masahiropor
dc.contributor.authorKaichi, Tomoyapor
dc.contributor.authorZhou, Baodingpor
dc.contributor.authorLiu, Xupor
dc.contributor.authorGu, Zhiningpor
dc.contributor.authorYang, Chengjingpor
dc.contributor.authorWu, Zhiqianpor
dc.contributor.authorXie, Doudoupor
dc.contributor.authorHuang, Canpor
dc.contributor.authorZheng, Lingxiangpor
dc.contributor.authorPeng, Aopor
dc.contributor.authorJin, Gepor
dc.contributor.authorWang, Qupor
dc.contributor.authorLuo, Haiyongpor
dc.contributor.authorXiong, Haopor
dc.contributor.authorBao, Linfengpor
dc.contributor.authorZhang, Pushuopor
dc.contributor.authorZhao, Fangpor
dc.contributor.authorYu, Chia-Anpor
dc.contributor.authorHung, Chun-Haopor
dc.contributor.authorAntsfeld, Leonidpor
dc.contributor.authorSilva, Ivo Miguel Menezespor
dc.contributor.authorPendão, Cristiano Gonçalvespor
dc.contributor.authorMeneses, Filipepor
dc.contributor.authorNicolau, Maria Joãopor
dc.contributor.authorCosta, Antóniopor
dc.contributor.authorMoreira, Adrianopor
dc.contributor.authorCock, Cedric Depor
dc.contributor.authorPlets, Davidpor
dc.contributor.authorOpiela, Miroslavpor
dc.contributor.authorJakub Džama,por
dc.contributor.authorZhang, Liqiangpor
dc.contributor.authorLi, Hupor
dc.contributor.authorChen, Boxuanpor
dc.contributor.authorLiu, Yupor
dc.contributor.authorYean, Seanglidetpor
dc.contributor.authorLim, Bo Zhipor
dc.contributor.authorTeo, Wei Jiepor
dc.contributor.authorLee, Bu Sungpor
dc.contributor.authorOh, Hong Lyepor
dc.contributor.otheret. al.-
dc.date.accessioned2023-01-23T12:27:57Z-
dc.date.available2023-01-23T12:27:57Z-
dc.date.issued2022-03-15-
dc.identifier.citationF. Potortì et al., "Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5011-5054, 15 March15, 2022, doi: 10.1109/JSEN.2021.3083149.por
dc.identifier.issn1530-437X-
dc.identifier.urihttps://hdl.handle.net/1822/82092-
dc.description.abstractEvery year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes. Through fair comparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1 m for the Smartphone Track and 0.5 m for the Foot-mounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements.por
dc.description.sponsorshipTrack 3 organizers were supported by the European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska Curie Grant 813278 (A-WEAR: A network for dynamic WEarable Applications with pRivacy constraints), MICROCEBUS (MICINN, ref. RTI2018-095168-B-C55, MCIU/AEI/FEDER UE), INSIGNIA (MICINN ref. PTQ2018-009981), and REPNIN+ (MICINN, ref. TEC2017-90808-REDT). We would like to thanks the UJI’s Library managers and employees for their support while collecting the required datasets for Track 3. Track 5 organizers were supported by JST-OPERA Program, Japan, under Grant JPMJOP1612. Track 7 organizers were supported by the Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology through the Center for Analytics-Data-Applications (ADA-Center) within the framework of “BAYERN DIGITAL II. ” Team UMinho (Track 3) was supported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope under Grant UIDB/00319/2020, and the Ph.D. Fellowship under Grant PD/BD/137401/2018. Team YAI (Track 3) was supported by the Ministry of Science and Technology (MOST) of Taiwan under Grant MOST 109-2221-E-197-026. Team Indora (Track 3) was supported in part by the Slovak Grant Agency, Ministry of Education and Academy of Science, Slovakia, under Grant 1/0177/21, and in part by the Slovak Research and Development Agency under Contract APVV-15-0091. Team TJU (Track 3) was supported in part by the National Natural Science Foundation of China under Grant 61771338 and in part by the Tianjin Research Funding under Grant 18ZXRHSY00190. Team Next-Newbie Reckoners (Track 3) were supported by the Singapore Government through the Industry Alignment Fund—Industry Collaboration Projects Grant. This research was conducted at Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU), which is a collaboration between Singapore Telecommunications Limited (Singtel) and Nanyang Technological University (NTU). Team KawaguchiLab (Track 5) was supported by JSPS KAKENHI under Grant JP17H01762. Team WHU&AutoNavi (Track 6) was supported by the National Key Research and Development Program of China under Grant 2016YFB0502202. Team YAI (Tracks 6 and 7) was supported by the Ministry of Science and Technology (MOST) of Taiwan under Grant MOST 110-2634-F-155-001.por
dc.language.isoengpor
dc.publisherIEEEpor
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/813278/EUpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/POR_NORTE/PD%2FBD%2F137401%2F2018/PTpor
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectSensor phenomena and characterizationpor
dc.subjectIndoor navigationpor
dc.subjectTestingpor
dc.subjectStandardspor
dc.subjectSatellite broadcastingpor
dc.subjectRecurrent neural networkspor
dc.subjectReceived signal strength indicatorpor
dc.subjectIndoor positioning and navigationpor
dc.subjectevaluationpor
dc.subjectsmartphone-based positioningpor
dc.subjectfoot-mounted IMUpor
dc.subjectpositioning in industrial scenarios and factoriespor
dc.subjectvehicle-positioningpor
dc.titleOff-line evaluation of indoor positioning systems in different scenarios: the experiences from IPIN 2020 competitioneng
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9439493por
oaire.citationStartPage5011por
oaire.citationEndPage5054por
oaire.citationIssue6por
oaire.citationVolume22por
dc.date.updated2023-01-19T16:28:26Z-
dc.identifier.doi10.1109/JSEN.2021.3083149por
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.wosScience & Technology-
sdum.export.identifier12505-
sdum.journalIEEE Sensors Journalpor
oaire.versionVoRpor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals


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