The IPIN 2019 Indoor Localisation Competition-Description and Results

Francesco Potorti; Sangjoon Park; Antonino Crivello; Filippo Palumbo; Michele Girolami; Paolo Barsocchi; Soyeon Lee; Joaquin Torres-Sospedra; Antonio Ramon Jimenez Ruiz; Antoni Perez-Navarro; German Martin Mendoza-Silva; Fernando Seco; Miguel Ortiz; Johan Perul; Valerie Renaudin; Hyunwoong Kang; Soyoung Park; Jae Hong Lee; Chan Gook Park; Jisu Ha; Jaeseung Han; Changjun Park; Keunhye Kim; Yonghyun Lee; Seunghun Gye; Keumryeol Lee; Eunjee Kim; Jeong Sik Choi; Yang Seok Choi; Shilpa Talwar; Seong Yun Cho; Boaz Ben-Moshe; Alex Scherbakov; Leonid Antsfeld; Emilio Sansano-Sansano; Boris Chidlovskii; Nikolai Kronenwett; Silvia Prophet; Yael Landay; Revital Marbel; Lingxiang Zheng; Ao Peng; Zhichao Lin; Bang Wu; Chengqi Ma; Stefan Poslad; David R. Selviah; Wei Wu; Zixiang Ma; Wenchao Zhang; Dongyan Wei; Hong Yuan; Jun Bang Jiang; Shao Yung Huang; Jing Wen Liu; Kuan Wu Su; Jenq Shiou Leu; Kazuki Nishiguchi; Walid Bousselham; Hideaki Uchiyama; Diego Thomas; Atsushi Shimada; Rin Ichiro Taniguchi; Vicente Cortes Puschel; Tomas Lungenstrass Poulsen; Imran Ashraf; Chanseok Lee; Muhammad Usman Ali; Yeongjun Im; Gunzung Kim; Jeongsook Eom; Soojung Hur; Yongwan Park; Miroslav Opiela; Adriano Moreira; Maria Joao Nicolau; Cristiano Pendao; Ivo Silva; Filipe Meneses; Antonio Costa; Jens Trogh; David Plets; Ying Ren Chien; Tzu Yu Chang; Shih Hau Fang; Yu Tsao

doi:10.1109/ACCESS.2020.3037221

The IPIN 2019 Indoor Localisation Competition-Description and Results

Francesco Potorti, Sangjoon Park, Antonino Crivello, Filippo Palumbo, Michele Girolami, Paolo Barsocchi, Soyeon Lee, Joaquin Torres-Sospedra, Antonio Ramon Jimenez Ruiz, Antoni Perez-Navarro, German Martin Mendoza-Silva, Fernando Seco, Miguel Ortiz, Johan Perul, Valerie Renaudin, Hyunwoong Kang, Soyoung Park, Jae Hong Lee, Chan Gook Park, Jisu HaJaeseung Han, Changjun Park, Keunhye Kim, Yonghyun Lee, Seunghun Gye, Keumryeol Lee, Eunjee Kim, Jeong Sik Choi, Yang Seok Choi, Shilpa Talwar, Seong Yun Cho, Boaz Ben-Moshe, Alex Scherbakov, Leonid Antsfeld, Emilio Sansano-Sansano, Boris Chidlovskii, Nikolai Kronenwett, Silvia Prophet, Yael Landay, Revital Marbel, Lingxiang Zheng, Ao Peng, Zhichao Lin, Bang Wu, Chengqi Ma, Stefan Poslad, David R. Selviah, Wei Wu, Zixiang Ma, Wenchao Zhang, Dongyan Wei, Hong Yuan, Jun Bang Jiang, Shao Yung Huang, Jing Wen Liu, Kuan Wu Su, Jenq Shiou Leu, Kazuki Nishiguchi, Walid Bousselham, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin Ichiro Taniguchi, Vicente Cortes Puschel, Tomas Lungenstrass Poulsen, Imran Ashraf, Chanseok Lee, Muhammad Usman Ali, Yeongjun Im, Gunzung Kim, Jeongsook Eom, Soojung Hur, Yongwan Park, Miroslav Opiela, Adriano Moreira, Maria Joao Nicolau, Cristiano Pendao, Ivo Silva, Filipe Meneses, Antonio Costa, Jens Trogh, David Plets, Ying Ren Chien, Tzu Yu Chang, Shih Hau Fang, Yu Tsao

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

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.

Original language	English
Article number	9253514
Pages (from-to)	206674-206718
Number of pages	45
Journal	IEEE Access
Volume	8
DOIs	https://doi.org/10.1109/ACCESS.2020.3037221
Publication status	Published - 2020

All Science Journal Classification (ASJC) codes

Computer Science(all)
Materials Science(all)
Engineering(all)

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10.1109/ACCESS.2020.3037221

Cite this

Potorti, F., Park, S., Crivello, A., Palumbo, F., Girolami, M., Barsocchi, P., Lee, S., Torres-Sospedra, J., Ruiz, A. R. J., Perez-Navarro, A., Mendoza-Silva, G. M., Seco, F., Ortiz, M., Perul, J., Renaudin, V., Kang, H., Park, S., Lee, J. H., Park, C. G., ... Tsao, Y. (2020). The IPIN 2019 Indoor Localisation Competition-Description and Results. IEEE Access, 8, 206674-206718. [9253514]. https://doi.org/10.1109/ACCESS.2020.3037221

The IPIN 2019 Indoor Localisation Competition-Description and Results. / Potorti, Francesco; Park, Sangjoon; Crivello, Antonino; Palumbo, Filippo; Girolami, Michele; Barsocchi, Paolo; Lee, Soyeon; Torres-Sospedra, Joaquin; 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; Leu, Jenq Shiou; Nishiguchi, Kazuki; Bousselham, Walid; Uchiyama, Hideaki; Thomas, Diego ; Shimada, Atsushi ; Taniguchi, Rin Ichiro; Puschel, Vicente Cortes; Poulsen, Tomas Lungenstrass; Ashraf, Imran; Lee, Chanseok; Ali, Muhammad Usman; Im, Yeongjun; Kim, Gunzung; Eom, Jeongsook; Hur, Soojung; Park, Yongwan; Opiela, Miroslav; Moreira, Adriano; Nicolau, Maria Joao; Pendao, Cristiano; Silva, Ivo; Meneses, Filipe; Costa, Antonio; Trogh, Jens; Plets, David; Chien, Ying Ren; Chang, Tzu Yu; Fang, Shih Hau; Tsao, Yu.

In: IEEE Access, Vol. 8, 9253514, 2020, p. 206674-206718.

Research output: Contribution to journal › Article › peer-review

Potorti, F, Park, S, Crivello, A, Palumbo, F, Girolami, M, Barsocchi, P, Lee, S, Torres-Sospedra, J, Ruiz, ARJ, Perez-Navarro, A, Mendoza-Silva, GM, Seco, F, Ortiz, M, Perul, J, Renaudin, V, Kang, H, Park, S, Lee, JH, Park, CG, Ha, J, Han, J, Park, C, Kim, K, Lee, Y, Gye, S, Lee, K, Kim, E, Choi, JS, Choi, YS, Talwar, S, Cho, SY, Ben-Moshe, B, Scherbakov, A, Antsfeld, L, Sansano-Sansano, E, Chidlovskii, B, Kronenwett, N, Prophet, S, Landay, Y, Marbel, R, Zheng, L, Peng, A, Lin, Z, Wu, B, Ma, C, Poslad, S, Selviah, DR, Wu, W, Ma, Z, Zhang, W, Wei, D, Yuan, H, Jiang, JB, Huang, SY, Liu, JW, Su, KW, Leu, JS, Nishiguchi, K, Bousselham, W, Uchiyama, H, Thomas, D , Shimada, A , Taniguchi, RI, Puschel, VC, Poulsen, TL, Ashraf, I, Lee, C, Ali, MU, Im, Y, Kim, G, Eom, J, Hur, S, Park, Y, Opiela, M, Moreira, A, Nicolau, MJ, Pendao, C, Silva, I, Meneses, F, Costa, A, Trogh, J, Plets, D, Chien, YR, Chang, TY, Fang, SH & Tsao, Y 2020, 'The IPIN 2019 Indoor Localisation Competition-Description and Results', IEEE Access, vol. 8, 9253514, pp. 206674-206718. https://doi.org/10.1109/ACCESS.2020.3037221

Potorti, Francesco ; Park, Sangjoon ; Crivello, Antonino ; Palumbo, Filippo ; Girolami, Michele ; Barsocchi, Paolo ; Lee, Soyeon ; Torres-Sospedra, Joaquin ; 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 ; Leu, Jenq Shiou ; Nishiguchi, Kazuki ; Bousselham, Walid ; Uchiyama, Hideaki ; Thomas, Diego ; Shimada, Atsushi ; Taniguchi, Rin Ichiro ; Puschel, Vicente Cortes ; Poulsen, Tomas Lungenstrass ; Ashraf, Imran ; Lee, Chanseok ; Ali, Muhammad Usman ; Im, Yeongjun ; Kim, Gunzung ; Eom, Jeongsook ; Hur, Soojung ; Park, Yongwan ; Opiela, Miroslav ; Moreira, Adriano ; Nicolau, Maria Joao ; Pendao, Cristiano ; Silva, Ivo ; Meneses, Filipe ; Costa, Antonio ; Trogh, Jens ; Plets, David ; Chien, Ying Ren ; Chang, Tzu Yu ; Fang, Shih Hau ; Tsao, Yu. / The IPIN 2019 Indoor Localisation Competition-Description and Results. In: IEEE Access. 2020 ; Vol. 8. pp. 206674-206718.

@article{db59f3d90d534585bf3a9720601d743f,

title = "The IPIN 2019 Indoor Localisation Competition-Description and Results",

abstract = "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. ",

author = "Francesco Potorti and Sangjoon Park and Antonino Crivello and Filippo Palumbo and Michele Girolami and Paolo Barsocchi and Soyeon Lee and Joaquin Torres-Sospedra and Ruiz, {Antonio Ramon Jimenez} and Antoni Perez-Navarro and Mendoza-Silva, {German Martin} and Fernando Seco and Miguel Ortiz and Johan Perul and Valerie Renaudin and Hyunwoong Kang and Soyoung Park and Lee, {Jae Hong} and Park, {Chan Gook} and Jisu Ha and Jaeseung Han and Changjun Park and Keunhye Kim and Yonghyun Lee and Seunghun Gye and Keumryeol Lee and Eunjee Kim and Choi, {Jeong Sik} and Choi, {Yang Seok} and Shilpa Talwar and Cho, {Seong Yun} and Boaz Ben-Moshe and Alex Scherbakov and Leonid Antsfeld and Emilio Sansano-Sansano and Boris Chidlovskii and Nikolai Kronenwett and Silvia Prophet and Yael Landay and Revital Marbel and Lingxiang Zheng and Ao Peng and Zhichao Lin and Bang Wu and Chengqi Ma and Stefan Poslad and Selviah, {David R.} and Wei Wu and Zixiang Ma and Wenchao Zhang and Dongyan Wei and Hong Yuan and Jiang, {Jun Bang} and Huang, {Shao Yung} and Liu, {Jing Wen} and Su, {Kuan Wu} and Leu, {Jenq Shiou} and Kazuki Nishiguchi and Walid Bousselham and Hideaki Uchiyama and Diego Thomas and Atsushi Shimada and Taniguchi, {Rin Ichiro} and Puschel, {Vicente Cortes} and Poulsen, {Tomas Lungenstrass} and Imran Ashraf and Chanseok Lee and Ali, {Muhammad Usman} and Yeongjun Im and Gunzung Kim and Jeongsook Eom and Soojung Hur and Yongwan Park and Miroslav Opiela and Adriano Moreira and Nicolau, {Maria Joao} and Cristiano Pendao and Ivo Silva and Filipe Meneses and Antonio Costa and Jens Trogh and David Plets and Chien, {Ying Ren} and Chang, {Tzu Yu} and Fang, {Shih Hau} and Yu Tsao",

note = "Funding Information: Kyushu team (Track 2): This work was supported in part by the JSPS KAKENHI under Grant JP18H04125. Funding Information: AOE Team (Track 4): This work was supported by the Strategic Priority Research Program of the Chinese Academy Sciences under Grant XDA13030403. Funding Information: SNU NESL (Track 1): This work was supported by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean Government (MSIT) (Development of human enhancement fire helmet and fire suppression support system) under Grant 2018-0-00781. Funding Information: YAI Team (Track 3): This work was supported in part by the Ministry of Science and Technology (MOST) of Taiwan under Grant MOST 107-2634-F-155-001. Funding Information: INDORA Team (Tracks 3): This work was supported in part by the Slovak Grant Agency, Ministry of Education and Academy of Science, Slovakia, through INDORA Team, under Grant 1/0056/18, and in part by the Slovak Research and Development Agency through INDORA Team under Contract APVV-15-0091. Funding Information: MITLab (Track 1): MITLab Team gratefully thanks the Ministry of Science and Technology (MOST) for supporting this research under Grant MOST-108-2221-E-011-061-. Funding Information: UMinho team (Track 3): This work was supported in part by the Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia (FCT) within the Research and Development Units Project Scope under Grant UIDB/00319/2020, and in part by the Ph.D. Fellowship under Grant PD/BD/137401/2018. Funding Information: INDORA Team (Track 1): This work was supported in part by the Slovak Grant Agency, Ministry of Education and Academy of Science, Slovakia, through INDORA Team, under Grant 1/0056/18, and in part by the Slovak Research and Development Agency through INDORA Team under Contract APVV-15-0091. Funding Information: YNU Team (Track 1): This work was supported in part by the Ministry of Science and ICT (MSIT), South Korea, through the Information Technology Research Center (ITRC) support program supervised by the Institute for Information & communications Technology Planning & Evaluation (IITP) under Grant IITP-2019-2016-0-00313, in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, under Grant 2017R1E1A1A01074345, and in part by the ICT Research and Development Program of MSIP/IITP (Development of Precise Positioning Technology for the Enhancement of Pedestrian Position/Spatial Cognition and Sports Competition Analysis) under Grant 2017-0-00543. Funding Information: KIU-SNU Team (Track 4): This work was supported by the Institute of Information & communications Technology Planning & Evaluation (IITP) Grant funded by the Korea Government (NFA) (Development of wireless communication tracking-based location information system in disaster scene for fire-fighters and person who requested rescue) under Grant 2019-0-01325. Funding Information: Track 3 organizers (CAR/CSIC-UPM, UBIK, UJI, UOC): This work was supported in part by MICROCEBUS under Grant RTI2018-095168-B-C55 (MCIU/AEI/FEDER, UE), in part by REPNIN PLUS under Grant TEC2017-90808-REDT, and in part by TECHNOFUSION(III)CM under Grant P2018/EMT-4437. Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2020",

doi = "10.1109/ACCESS.2020.3037221",

language = "English",

volume = "8",

pages = "206674--206718",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - The IPIN 2019 Indoor Localisation Competition-Description and Results

AU - Potorti, Francesco

AU - Park, Sangjoon

AU - Crivello, Antonino

AU - Palumbo, Filippo

AU - Girolami, Michele

AU - Barsocchi, Paolo

AU - Lee, Soyeon

AU - Torres-Sospedra, Joaquin

AU - Ruiz, Antonio Ramon Jimenez

AU - Perez-Navarro, Antoni

AU - Mendoza-Silva, German Martin

AU - Seco, Fernando

AU - Ortiz, Miguel

AU - Perul, Johan

AU - Renaudin, Valerie

AU - Kang, Hyunwoong

AU - Park, Soyoung

AU - Lee, Jae Hong

AU - Park, Chan Gook

AU - Ha, Jisu

AU - Han, Jaeseung

AU - Park, Changjun

AU - Kim, Keunhye

AU - Lee, Yonghyun

AU - Gye, Seunghun

AU - Lee, Keumryeol

AU - Kim, Eunjee

AU - Choi, Jeong Sik

AU - Choi, Yang Seok

AU - Talwar, Shilpa

AU - Cho, Seong Yun

AU - Ben-Moshe, Boaz

AU - Scherbakov, Alex

AU - Antsfeld, Leonid

AU - Sansano-Sansano, Emilio

AU - Chidlovskii, Boris

AU - Kronenwett, Nikolai

AU - Prophet, Silvia

AU - Landay, Yael

AU - Marbel, Revital

AU - Zheng, Lingxiang

AU - Peng, Ao

AU - Lin, Zhichao

AU - Wu, Bang

AU - Ma, Chengqi

AU - Poslad, Stefan

AU - Selviah, David R.

AU - Wu, Wei

AU - Ma, Zixiang

AU - Zhang, Wenchao

AU - Wei, Dongyan

AU - Yuan, Hong

AU - Jiang, Jun Bang

AU - Huang, Shao Yung

AU - Liu, Jing Wen

AU - Su, Kuan Wu

AU - Leu, Jenq Shiou

AU - Nishiguchi, Kazuki

AU - Bousselham, Walid

AU - Uchiyama, Hideaki

AU - Thomas, Diego

AU - Shimada, Atsushi

AU - Taniguchi, Rin Ichiro

AU - Puschel, Vicente Cortes

AU - Poulsen, Tomas Lungenstrass

AU - Ashraf, Imran

AU - Lee, Chanseok

AU - Ali, Muhammad Usman

AU - Im, Yeongjun

AU - Kim, Gunzung

AU - Eom, Jeongsook

AU - Hur, Soojung

AU - Park, Yongwan

AU - Opiela, Miroslav

AU - Moreira, Adriano

AU - Nicolau, Maria Joao

AU - Pendao, Cristiano

AU - Silva, Ivo

AU - Meneses, Filipe

AU - Costa, Antonio

AU - Trogh, Jens

AU - Plets, David

AU - Chien, Ying Ren

AU - Chang, Tzu Yu

AU - Fang, Shih Hau

AU - Tsao, Yu

N1 - Funding Information: Kyushu team (Track 2): This work was supported in part by the JSPS KAKENHI under Grant JP18H04125. Funding Information: AOE Team (Track 4): This work was supported by the Strategic Priority Research Program of the Chinese Academy Sciences under Grant XDA13030403. Funding Information: SNU NESL (Track 1): This work was supported by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean Government (MSIT) (Development of human enhancement fire helmet and fire suppression support system) under Grant 2018-0-00781. Funding Information: YAI Team (Track 3): This work was supported in part by the Ministry of Science and Technology (MOST) of Taiwan under Grant MOST 107-2634-F-155-001. Funding Information: INDORA Team (Tracks 3): This work was supported in part by the Slovak Grant Agency, Ministry of Education and Academy of Science, Slovakia, through INDORA Team, under Grant 1/0056/18, and in part by the Slovak Research and Development Agency through INDORA Team under Contract APVV-15-0091. Funding Information: MITLab (Track 1): MITLab Team gratefully thanks the Ministry of Science and Technology (MOST) for supporting this research under Grant MOST-108-2221-E-011-061-. Funding Information: UMinho team (Track 3): This work was supported in part by the Fundação para a Ciência e Tecnologia (FCT) within the Research and Development Units Project Scope under Grant UIDB/00319/2020, and in part by the Ph.D. Fellowship under Grant PD/BD/137401/2018. Funding Information: INDORA Team (Track 1): This work was supported in part by the Slovak Grant Agency, Ministry of Education and Academy of Science, Slovakia, through INDORA Team, under Grant 1/0056/18, and in part by the Slovak Research and Development Agency through INDORA Team under Contract APVV-15-0091. Funding Information: YNU Team (Track 1): This work was supported in part by the Ministry of Science and ICT (MSIT), South Korea, through the Information Technology Research Center (ITRC) support program supervised by the Institute for Information & communications Technology Planning & Evaluation (IITP) under Grant IITP-2019-2016-0-00313, in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, under Grant 2017R1E1A1A01074345, and in part by the ICT Research and Development Program of MSIP/IITP (Development of Precise Positioning Technology for the Enhancement of Pedestrian Position/Spatial Cognition and Sports Competition Analysis) under Grant 2017-0-00543. Funding Information: KIU-SNU Team (Track 4): This work was supported by the Institute of Information & communications Technology Planning & Evaluation (IITP) Grant funded by the Korea Government (NFA) (Development of wireless communication tracking-based location information system in disaster scene for fire-fighters and person who requested rescue) under Grant 2019-0-01325. Funding Information: Track 3 organizers (CAR/CSIC-UPM, UBIK, UJI, UOC): This work was supported in part by MICROCEBUS under Grant RTI2018-095168-B-C55 (MCIU/AEI/FEDER, UE), in part by REPNIN PLUS under Grant TEC2017-90808-REDT, and in part by TECHNOFUSION(III)CM under Grant P2018/EMT-4437. Publisher Copyright: © 2013 IEEE.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=85097395081&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2020.3037221

DO - 10.1109/ACCESS.2020.3037221

M3 - Article

AN - SCOPUS:85097395081

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SP - 206674

EP - 206718

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

M1 - 9253514

ER -

The IPIN 2019 Indoor Localisation Competition-Description and Results

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