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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
  • National Research Council of Italy
  • Electronics and Telecommunications Research Institute
  • Jaume I University
  • UBIK Geospatial Solutions
  • Center for Automation and Robotics (CSIC-UPM)
  • Open University of Catalonia
  • University Gustave Eiffel
  • Seoul National University
  • HANA MICRON
  • Intel Labs
  • Kyungil University
  • Ariel University
  • NAVER Corporation
  • Karlsruhe Institute of Technology
  • Xiamen University
  • Queen Mary University of London
  • University College London
  • Wuhan University
  • CAS - Aerospace Information Research Institute
  • University of Chinese Academy of Sciences
  • National Taiwan University of Science and Technology
  • Kyushu University
  • ENSTA
  • AraraDS
  • Yeungnam University
  • University of Gujrat
  • Pavol Jozef Šafárik University
  • University of Minho
  • Ghent University
  • National Ilan University Taiwan
  • Yuan Ze University
  • MOST Joint Research Center for AI Technology
  • Academia Sinica - Research Center for Information Technology Innovation

Research output: Contribution to journalArticlepeer-review

63 Scopus citations

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 languageEnglish
Article number9253514
Pages (from-to)206674-206718
Number of pages45
JournalIEEE Access
Volume8
DOIs
StatePublished - 2020

Keywords

  • Indoor localisation
  • Kalman filter
  • Wi-Fi fingerprinting
  • benchmarking
  • camera-based positioning
  • competition
  • foot-mounted pedestrian dead reckoning
  • indoor navigation
  • inertial-based positioning
  • magnetic field
  • particle filter
  • sensor fusion
  • smartphone-based positioning

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