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10. The IPIN 2019 Indoor Localisation Competition-Description and Results

Author

Potortì, Francesco [0000-0003-3835-3920], Crivello, Antonino [0000-0001-7238-2181], Palumbo, Filippo [0000-0001-9778-7142], Girolami, Michele [0000-0002-3683-7158], Barsocchi, Paolo [0000-0002-6862-7593], Torres-Sospedra, Joaquín [0000-0003-4338-4334], Jiménez Ruiz, Antonio Ramón [0000-0001-9771-1930], Pérez-Navarro, Antoni [0000-0002-7037-0635], Martín Mendoza-Silva, Germán [0000-0003-2744-0236], Seco, Fernando [0000-0002-2922-2710], Renaudin, Valerie [0000-0003-4535-5406], Park, Soyoung [0000-0001-5491-6776], Lee, Jae Hong [0000-0002-8222-5435], Park, Chan Gook [0000-0002-7403-951X], Lee, Keumryeol [0000-0003-0930-9007], Choi, Yang-Seok [0000-0002-0510-8198], Talwar, Shilpa [0000-0002-7932-9815], Cho, Seong Yun [0000-0002-4284-2156], Chidlovskii, Boris [0000-0002-2958-2361], Peng, Ao [0000-0003-3348-4358], Wu, Bang [0000-0002-8097-7852], Ma, Chengqi [0000-0002-9146-4470], Poslad, Stefan [0000-0002-3156-9609], Selviah, David R. [0000-0002-0016-0691], Zhang, Wenchao [0000-0002-6412-3961], Yuan, Hong [0000-0002-3807-8132], Leu, Jenq-Shiou [0000-0001-7197-9912], Uchiyama, Hideaki [0000-0002-6119-1184], Thomas, Diego [0000-0002-8525-7133], Shimada, Atsushi [0000-0002-3635-9336], Lungenstrass Poulsen, Tomás [0000-0003-4832-2730], Ashraf, Imran [0000-0002-8271-6496], Ali, Muhammad Usman [0000-0002-4470-8065], Opiela, Miroslav [0000-0001-8802-4442], Moreira, Adriano [0000-0002-8967-118X], Costa, António [0000-0003-0691-1377], Trogh, Jens [0000-0003-0185-5409], Plets, David [0000-0002-8879-5076], Chien, Ying-Ren [0000-0002-3013-0290], Fang, Shih-Hau [0000-0003-1580-0257], Tsao, Yu [0000-0001-6956-0418], Potortì, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, Girolami, Michele, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquín, Jiménez Ruiz, Antonio R., Pérez-Navarro, Antoni, Martín Mendoza-Silva, Germán, Seco Granja, 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, Cortés Puschel, Vicente, Lungenstrass Poulsen, Tomás, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano, Silva, Ivo, Meneses, Filipe, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, Tsao, Yu, Potortì, Francesco [0000-0003-3835-3920], Crivello, Antonino [0000-0001-7238-2181], Palumbo, Filippo [0000-0001-9778-7142], Girolami, Michele [0000-0002-3683-7158], Barsocchi, Paolo [0000-0002-6862-7593], Torres-Sospedra, Joaquín [0000-0003-4338-4334], Jiménez Ruiz, Antonio Ramón [0000-0001-9771-1930], Pérez-Navarro, Antoni [0000-0002-7037-0635], Martín Mendoza-Silva, Germán [0000-0003-2744-0236], Seco, Fernando [0000-0002-2922-2710], Renaudin, Valerie [0000-0003-4535-5406], Park, Soyoung [0000-0001-5491-6776], Lee, Jae Hong [0000-0002-8222-5435], Park, Chan Gook [0000-0002-7403-951X], Lee, Keumryeol [0000-0003-0930-9007], Choi, Yang-Seok [0000-0002-0510-8198], Talwar, Shilpa [0000-0002-7932-9815], Cho, Seong Yun [0000-0002-4284-2156], Chidlovskii, Boris [0000-0002-2958-2361], Peng, Ao [0000-0003-3348-4358], Wu, Bang [0000-0002-8097-7852], Ma, Chengqi [0000-0002-9146-4470], Poslad, Stefan [0000-0002-3156-9609], Selviah, David R. [0000-0002-0016-0691], Zhang, Wenchao [0000-0002-6412-3961], Yuan, Hong [0000-0002-3807-8132], Leu, Jenq-Shiou [0000-0001-7197-9912], Uchiyama, Hideaki [0000-0002-6119-1184], Thomas, Diego [0000-0002-8525-7133], Shimada, Atsushi [0000-0002-3635-9336], Lungenstrass Poulsen, Tomás [0000-0003-4832-2730], Ashraf, Imran [0000-0002-8271-6496], Ali, Muhammad Usman [0000-0002-4470-8065], Opiela, Miroslav [0000-0001-8802-4442], Moreira, Adriano [0000-0002-8967-118X], Costa, António [0000-0003-0691-1377], Trogh, Jens [0000-0003-0185-5409], Plets, David [0000-0002-8879-5076], Chien, Ying-Ren [0000-0002-3013-0290], Fang, Shih-Hau [0000-0003-1580-0257], Tsao, Yu [0000-0001-6956-0418], Potortì, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, Girolami, Michele, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquín, Jiménez Ruiz, Antonio R., Pérez-Navarro, Antoni, Martín Mendoza-Silva, Germán, Seco Granja, 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, Cortés Puschel, Vicente, Lungenstrass Poulsen, Tomás, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano, Silva, Ivo, Meneses, Filipe, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, and Tsao, Yu

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.

Published
2020

12. The IPIN 2019 indoor localisation competition : description and results

Author

Potortì, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, Girolami, Michele, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquín, Jiménez Ruiz, Antonio R., Pérez-Navarro, Antoni, Martín Mendoza-Silva, Germán, Seco Granja, 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, Cortés Puschel, Vicente, Lungenstrass Poulsen, Tomás, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano, Silva, Ivo, Meneses, Filipe, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, Tsao, Yu, Potortì, Francesco [0000-0003-3835-3920], Crivello, Antonino [0000-0001-7238-2181], Palumbo, Filippo [0000-0001-9778-7142], Girolami, Michele [0000-0002-3683-7158], Barsocchi, Paolo [0000-0002-6862-7593], Torres-Sospedra, Joaquín [0000-0003-4338-4334], Jiménez Ruiz, Antonio Ramón [0000-0001-9771-1930], Pérez-Navarro, Antoni [0000-0002-7037-0635], Martín Mendoza-Silva, Germán [0000-0003-2744-0236], Seco, Fernando [0000-0002-2922-2710], Renaudin, Valerie [0000-0003-4535-5406], Park, Soyoung [0000-0001-5491-6776], Lee, Jae Hong [0000-0002-8222-5435], Park, Chan Gook [0000-0002-7403-951X], Lee, Keumryeol [0000-0003-0930-9007], Choi, Yang-Seok [0000-0002-0510-8198], Talwar, Shilpa [0000-0002-7932-9815], Cho, Seong Yun [0000-0002-4284-2156], Chidlovskii, Boris [0000-0002-2958-2361], Peng, Ao [0000-0003-3348-4358], Wu, Bang [0000-0002-8097-7852], Ma, Chengqi [0000-0002-9146-4470], Poslad, Stefan [0000-0002-3156-9609], Selviah, David R. [0000-0002-0016-0691], Zhang, Wenchao [0000-0002-6412-3961], Yuan, Hong [0000-0002-3807-8132], Leu, Jenq-Shiou [0000-0001-7197-9912], Uchiyama, Hideaki [0000-0002-6119-1184], Thomas, Diego [0000-0002-8525-7133], Shimada, Atsushi [0000-0002-3635-9336], Lungenstrass Poulsen, Tomás [0000-0003-4832-2730], Ashraf, Imran [0000-0002-8271-6496], Ali, Muhammad Usman [0000-0002-4470-8065], Opiela, Miroslav [0000-0001-8802-4442], Moreira, Adriano [0000-0002-8967-118X], Costa, António [0000-0003-0691-1377], Trogh, Jens [0000-0003-0185-5409], Plets, David [0000-0002-8879-5076], Chien, Ying-Ren [0000-0002-3013-0290], Fang, Shih-Hau [0000-0003-1580-0257], Tsao, Yu [0000-0001-6956-0418], Potortì, Francesco, Crivello, Antonino, Palumbo, Filippo, Girolami, Michele, Barsocchi, Paolo, Torres-Sospedra, Joaquín, Jiménez Ruiz, Antonio Ramón, Pérez-Navarro, Antoni, Martín Mendoza-Silva, Germán, Seco, Fernando, Renaudin, Valerie, Park, Soyoung, Lee, Jae Hong, Park, Chan Gook, Lee, Keumryeol, Choi, Yang-Seok, Talwar, Shilpa, Cho, Seong Yun, Chidlovskii, Boris, Peng, Ao, Wu, Bang, Ma, Chengqi, Poslad, Stefan, Selviah, David R., Zhang, Wenchao, Yuan, Hong, Leu, Jenq-Shiou, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Lungenstrass Poulsen, Tomás, Ashraf, Imran, Ali, Muhammad Usman, Opiela, Miroslav, Moreira, Adriano, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Fang, Shih-Hau, and Tsao, Yu

Subjects
Sensor systems, Technology and Engineering, foot-mounted pedestrian dead reckoning, magnetic field, Indoor localisation, camera-based positioning, Indoor navigation, Atmospheric measurements, inertial-based positioning, Stakeholders, Particle filter, smartphone-based positioning, Inertial-based positioning, Smartphone-based positioning, Wireless fidelity, benchmarking, Real-time systems, sensor fusion, particle filter, Sensor fusion, Competition, Sensors, Particle measurements, indoor navigation, CONSTRAINT, Benchmarking, Magnetic field, Wi-Fi fingerprinting, Foot-mounted pedestrian dead reckoning, Camera-based positioning, Kalman filter, competition
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., Fundación para la Ciencia y Tecnología; 10.13039/100007225-Ministry of Science and Technology; Institute for Information and communications Technology Promotion IITP grant funded by the Korea government MSIT; Basic Science Research Program through the National Research Foundation of Korea NRF funded by the Ministry of Science; MSIT Ministry of Science and ICT Korea under the ITRC; Slovak Research and Development Agency; Strategic Priority Research Program; Korea government NFA; ICT R and D Program of MSIPIITP; 10.13039/501100004837-Ministerio de Ciencia e Innovación; JSPS KAKENHI; ICT R and D Program of MSIPIITP.

Published
2020
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13. Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition

Author

European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Japan Science and Technology Agency, Bavarian Ministry of Economy, Infrastructure, Transport and Technology, Fundação para a Ciência e a Tecnologia (Portugal), Ministry of Science and Technology (Taiwan), Slovak Academy of Sciences, Ministry of Education (Slovak Republic), National Natural Science Foundation of China, Government of Singapore, Japan Society for the Promotion of Science, National Key Research and Development Program (China), Potortì, Francesco, Torres-Sospedra, Joaquín, Quezada Gaibor, Darwin, Jiménez Ruiz, Antonio R., Seco Granja, Fernando, Pérez-Navarro, Antoni, Ortiz, Miguel, Zhu, Ni, Renaudin, Valerie, Ichikari, Ryosuke, Shimomura, Ryo, Plets, David, Opiela, Miroslav, Džama, Jakub, Zhang, Liqiang, Li, Hu, Chen, Boxuan, Liu, Yu, Yean, Seanglidet, Lim, Bo Zhi, Teo, Wei Jie, Lee, Bu Sung, Oh, Hong Lye, Ohta, Nozomu, Nagae, Satsuki, Kurata, Takeshi, Wei, Dongyan, Ji, Xinchun, Zhang, Wenchao, Kram, Sebastian, Stahlke, Maximilian, Mutschler, Christopher, Crivello, Antonino, Barsocchi, Paolo, Girolami, Michele, Palumbo, Filippo, Chen, Ruizhi, Wu, Yuan, Li, Wei, Yu, Yue, Xu, Shihao, Huang, Lixiong, Liu, Tao, Kuang, Jian, Niu, Xiaoji, Yoshida, Takuto, Nagata, Yoshiteru, Fukushima, Yuto, Fukatani, Nobuya, Hayashida, Nozomi, Asai, Yusuke, Urano, Kenta, Ge, Wenfei, Lee, Nien-Ting, Fang, Shih-Hau, Jie, You-Cheng, Young, Shawn-Rong, Chien, Ying-Ren, Yu, Chih-Chieh, Ma, Chengqi, Wu, Bang, Zhang, Wei, Wang, Yankun, Fan, Yonglei, Poslad, Stefan, Selviah, David R., Wang, Weixi, Yuan, Hong, Yonamoto, Yoshitomo, Yamaguchi, Masahiro, Kaichi, Tomoya, Zhou, Baoding, Liu, Xu, Gu, Zhining, Yang, Chengjing, Wu, Zhiqian, Xie, Doudou, Huang, Can, Zheng, Lingxiang, Peng, Ao, Jin, Ge, Wang, Qu, Luo, Haiyong, Xiong, Hao, Bao, Linfeng, Zhang, Pushuo, Zhao, Fang, Yu, Chia-An, Hung, Chun-Hao, Antsfeld, Leonid, Chidlovskii, Boris, Jiang, Haitao, Xia, Ming, Yan, Dayu, Li, Yuhang, Dong, Yitong, Silva, Ivo, Pendão, Cristiano, Meneses, Filipe, Nicolau, Maria João, Costa, António, Moreira, Adriano, De Cock, Cedric, European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Japan Science and Technology Agency, Bavarian Ministry of Economy, Infrastructure, Transport and Technology, Fundação para a Ciência e a Tecnologia (Portugal), Ministry of Science and Technology (Taiwan), Slovak Academy of Sciences, Ministry of Education (Slovak Republic), National Natural Science Foundation of China, Government of Singapore, Japan Society for the Promotion of Science, National Key Research and Development Program (China), Potortì, Francesco, Torres-Sospedra, Joaquín, Quezada Gaibor, Darwin, Jiménez Ruiz, Antonio R., Seco Granja, Fernando, Pérez-Navarro, Antoni, Ortiz, Miguel, Zhu, Ni, Renaudin, Valerie, Ichikari, Ryosuke, Shimomura, Ryo, Plets, David, Opiela, Miroslav, Džama, Jakub, Zhang, Liqiang, Li, Hu, Chen, Boxuan, Liu, Yu, Yean, Seanglidet, Lim, Bo Zhi, Teo, Wei Jie, Lee, Bu Sung, Oh, Hong Lye, Ohta, Nozomu, Nagae, Satsuki, Kurata, Takeshi, Wei, Dongyan, Ji, Xinchun, Zhang, Wenchao, Kram, Sebastian, Stahlke, Maximilian, Mutschler, Christopher, Crivello, Antonino, Barsocchi, Paolo, Girolami, Michele, Palumbo, Filippo, Chen, Ruizhi, Wu, Yuan, Li, Wei, Yu, Yue, Xu, Shihao, Huang, Lixiong, Liu, Tao, Kuang, Jian, Niu, Xiaoji, Yoshida, Takuto, Nagata, Yoshiteru, Fukushima, Yuto, Fukatani, Nobuya, Hayashida, Nozomi, Asai, Yusuke, Urano, Kenta, Ge, Wenfei, Lee, Nien-Ting, Fang, Shih-Hau, Jie, You-Cheng, Young, Shawn-Rong, Chien, Ying-Ren, Yu, Chih-Chieh, Ma, Chengqi, Wu, Bang, Zhang, Wei, Wang, Yankun, Fan, Yonglei, Poslad, Stefan, Selviah, David R., Wang, Weixi, Yuan, Hong, Yonamoto, Yoshitomo, Yamaguchi, Masahiro, Kaichi, Tomoya, Zhou, Baoding, Liu, Xu, Gu, Zhining, Yang, Chengjing, Wu, Zhiqian, Xie, Doudou, Huang, Can, Zheng, Lingxiang, Peng, Ao, Jin, Ge, Wang, Qu, Luo, Haiyong, Xiong, Hao, Bao, Linfeng, Zhang, Pushuo, Zhao, Fang, Yu, Chia-An, Hung, Chun-Hao, Antsfeld, Leonid, Chidlovskii, Boris, Jiang, Haitao, Xia, Ming, Yan, Dayu, Li, Yuhang, Dong, Yitong, Silva, Ivo, Pendão, Cristiano, Meneses, Filipe, Nicolau, Maria João, Costa, António, Moreira, Adriano, and De Cock, Cedric

Abstract

Every 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.

Published
2022

18. Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition

Author

Potorti, Francesco, primary, Torres-Sospedra, Joaquin, additional, Quezada-Gaibor, Darwin, additional, Jimenez, Antonio Ramon, additional, Seco, Fernando, additional, Perez-Navarro, Antoni, additional, Ortiz, Miguel, additional, Zhu, Ni, additional, Renaudin, Valerie, additional, Ichikari, Ryosuke, additional, Shimomura, Ryo, additional, Ohta, Nozomu, additional, Nagae, Satsuki, additional, Kurata, Takeshi, additional, Wei, Dongyan, additional, Ji, Xinchun, additional, Zhang, Wenchao, additional, Kram, Sebastian, additional, Stahlke, Maximilian, additional, Mutschler, Christopher, additional, Crivello, Antonino, additional, Barsocchi, Paolo, additional, Girolami, Michele, additional, Palumbo, Filippo, additional, Chen, Ruizhi, additional, Wu, Yuan, additional, Li, Wei, additional, Yu, Yue, additional, Xu, Shihao, additional, Huang, Lixiong, additional, Liu, Tao, additional, Kuang, Jian, additional, Niu, Xiaoji, additional, Yoshida, Takuto, additional, Nagata, Yoshiteru, additional, Fukushima, Yuto, additional, Fukatani, Nobuya, additional, Hayashida, Nozomi, additional, Asai, Yusuke, additional, Urano, Kenta, additional, Ge, Wenfei, additional, Lee, Nien-Ting, additional, Fang, Shih-Hau, additional, Jie, You-Cheng, additional, Young, Shawn-Rong, additional, Chien, Ying-Ren, additional, Yu, Chih-Chieh, additional, Ma, Chengqi, additional, Wu, Bang, additional, Zhang, Wei, additional, Wang, Yankun, additional, Fan, Yonglei, additional, Poslad, Stefan, additional, Selviah, David R., additional, Wang, Weixi, additional, Yuan, Hong, additional, Yonamoto, Yoshitomo, additional, Yamaguchi, Masahiro, additional, Kaichi, Tomoya, additional, Zhou, Baoding, additional, Liu, Xu, additional, Gu, Zhining, additional, Yang, Chengjing, additional, Wu, Zhiqian, additional, Xie, Doudou, additional, Huang, Can, additional, Zheng, Lingxiang, additional, Peng, Ao, additional, Jin, Ge, additional, Wang, Qu, additional, Luo, Haiyong, additional, Xiong, Hao, additional, Bao, Linfeng, additional, Zhang, Pushuo, additional, Zhao, Fang, additional, Yu, Chia-An, additional, Hung, Chun-Hao, additional, Antsfeld, Leonid, additional, Chidlovskii, Boris, additional, Jiang, Haitao, additional, Xia, Ming, additional, Yan, Dayu, additional, Li, Yuhang, additional, Dong, Yitong, additional, Silva, Ivo, additional, Pendao, Cristiano, additional, Meneses, Filipe, additional, Nicolau, Maria Joao, additional, Costa, Antonio, additional, Moreira, Adriano, additional, De Cock, Cedric, additional, Plets, David, additional, Opiela, Miroslav, additional, Dzama, Jakub, additional, Zhang, Liqiang, additional, Li, Hu, additional, Chen, Boxuan, additional, Liu, Yu, additional, Yean, Seanglidet, additional, Lim, Bo Zhi, additional, Teo, Wei Jie, additional, Lee, Bu Sung, additional, and Oh, Hong Lye, additional

Published
2022
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22. Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition

Author

Park, So Young [0000-0001-5491-6776], Ministry of Science and Technology of the People's Republic of China, European Commission, Institute of Information & Communications Technology Planning & Evaluation (South Korea), Japan Society for the Promotion of Science, Chinese Academy of Sciences, Renaudin, Valerie [0000-0003-4535-5406], Perul, Johan [0000-0003-1815-9872], Torres-Sospedra, Joaquín [0000-0003-4338-4334], Ramón Jiménez, Antonio [0000-0001-9771-1930], Pérez-Navarro, Antoni [0000-0002-7037-0635], Martín Mendoza-Silva, Germán [0000-0003-2744-0236], Seco, Fernando [0000-0002-2922-2710], Ye, Feng [0000-0001-9718-1255], Shvalb, Nir [0000-0001-8246-3727], Lu, Chuanhua [0000-0001-5399-5951], Park, Chan Gook [0000-0002-7403-951X], Opiela, Miroslav [0000-0001-8802-4442], Chien, Ying-Ren [0000-0002-3013-0290], Li, Yu [0000-0001-5144-6318], Niu, Xiaoji [0000-0002-5591-0859], Shimada, Atsushi [0000-0002-4108-770X], Renaudin, Valerie, Ortiz, Miguel, Perul, Johan, Torres-Sospedra, Joaquín, Ramón Jiménez, Antonio, Pérez-Navarro, Antoni, Martín Mendoza-Silva, Germán, Seco Granja, Fernando, Landau, Yael, Marbel, Revital, Ben-Moshe, Boaz, Zheng, Xingyu, Ye, Feng, Kuang, Jian, Li, Yu, Niu, Xiaoji, Landa, Vlad, Hacohen, Shlomi, Shvalb, Nir, Lu, Chuanhua, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-Ichiro, Ding, Zhenxing, Xu, Feng, Kronenwett, Nikolai, Vladimirov, Blagovest, Lee, Soyeon, Cho, Eunyoung, Jun, Sungwoo, Lee, Changeun, Park, Sanjoon, Lee, Yonghyun, Rew, Jehyeok, Park, Changjun, Jeong, Hyeongyo, Han, Jaeseung, Lee, Keumryeol, Zhang, Wenchao, Li, Xianghong, Wie, Dongyan, Zhang, Ying, Park, So Young, Park, Chan Gook, Knauth, Stefan, Pipelidis, Georgios, Tsiamitros, Nikolaos, Lungenstrass, Tomás, Morales, Juan Pablo, Trogh, Jens, Plets, David, Opiela, Miroslav, Fang, Shih-Hau, Tsao, Yu, Chien, Ying-Ren, Yang, Shi-Shen, Ye, Shih-Jyun, Ali, Muhammad Usman, Hur, Soojung, Park, Yongwan, Park, So Young [0000-0001-5491-6776], Ministry of Science and Technology of the People's Republic of China, European Commission, Institute of Information & Communications Technology Planning & Evaluation (South Korea), Japan Society for the Promotion of Science, Chinese Academy of Sciences, Renaudin, Valerie [0000-0003-4535-5406], Perul, Johan [0000-0003-1815-9872], Torres-Sospedra, Joaquín [0000-0003-4338-4334], Ramón Jiménez, Antonio [0000-0001-9771-1930], Pérez-Navarro, Antoni [0000-0002-7037-0635], Martín Mendoza-Silva, Germán [0000-0003-2744-0236], Seco, Fernando [0000-0002-2922-2710], Ye, Feng [0000-0001-9718-1255], Shvalb, Nir [0000-0001-8246-3727], Lu, Chuanhua [0000-0001-5399-5951], Park, Chan Gook [0000-0002-7403-951X], Opiela, Miroslav [0000-0001-8802-4442], Chien, Ying-Ren [0000-0002-3013-0290], Li, Yu [0000-0001-5144-6318], Niu, Xiaoji [0000-0002-5591-0859], Shimada, Atsushi [0000-0002-4108-770X], Renaudin, Valerie, Ortiz, Miguel, Perul, Johan, Torres-Sospedra, Joaquín, Ramón Jiménez, Antonio, Pérez-Navarro, Antoni, Martín Mendoza-Silva, Germán, Seco Granja, Fernando, Landau, Yael, Marbel, Revital, Ben-Moshe, Boaz, Zheng, Xingyu, Ye, Feng, Kuang, Jian, Li, Yu, Niu, Xiaoji, Landa, Vlad, Hacohen, Shlomi, Shvalb, Nir, Lu, Chuanhua, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-Ichiro, Ding, Zhenxing, Xu, Feng, Kronenwett, Nikolai, Vladimirov, Blagovest, Lee, Soyeon, Cho, Eunyoung, Jun, Sungwoo, Lee, Changeun, Park, Sanjoon, Lee, Yonghyun, Rew, Jehyeok, Park, Changjun, Jeong, Hyeongyo, Han, Jaeseung, Lee, Keumryeol, Zhang, Wenchao, Li, Xianghong, Wie, Dongyan, Zhang, Ying, Park, So Young, Park, Chan Gook, Knauth, Stefan, Pipelidis, Georgios, Tsiamitros, Nikolaos, Lungenstrass, Tomás, Morales, Juan Pablo, Trogh, Jens, Plets, David, Opiela, Miroslav, Fang, Shih-Hau, Tsao, Yu, Chien, Ying-Ren, Yang, Shi-Shen, Ye, Shih-Jyun, Ali, Muhammad Usman, Hur, Soojung, and Park, Yongwan

Abstract

The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real-time (on-site) and post-processing (off-site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on-site and two off-site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75 th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on-site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off-site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light-weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future.

Published
2019

26. GNSS antennas and humans: a study of their interactions

Author

Bancroft, Jared B., Renaudin, Valerie, Morrison, Aiden, and Lachapelle, Gerard

Subjects
Telematics -- Usage, Antennas (Electronics) -- Usage, Business, Telecommunications industry, University of Calgary
Abstract

GPS IS VIRTUALLY UBIQUITOUS with more than 400 million units estimated to be in use in the United States alone. Some of these units are standalone devices such as those [...]

Published
2012

30. Toward Autonomous Driving in Arctic Areas

Author

Ruotsalainen, Laura, primary, Renaudin, Valerie, additional, Pei, Ling, additional, Piras, Marco, additional, Marais, Juliette, additional, Cavalheri, Emerson, additional, and Kaasalainen, Sanna, additional

Published
2020
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31. Efficient Use of SSR RTCM Streams For Real-Time Precise Point Positioning on Smartphones Main objective Investigate precise positioning , in real-time , on Android Device using RTCM streams for low computation costs

Author

GRENIER, Antoine, RENAUDIN, Valerie, Cadic, Ifsttar, Géolocalisation (IFSTTAR/AME/GEOLOC), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Nantes Angers Le Mans (UNAM), and Projet Fédérateur Mobilités et Transitions Numériques

Subjects
[SPI]Engineering Sciences [physics], UNE MESURE, PPP, [SPI] Engineering Sciences [physics], PRECISION D&apos, COUT, PPP-RTK, GEOLOCALISATION ET NAVIGATION PAR UN SYSTEME DE SATELLITES - GNSS, IGS-RTS, ANDROID RAW MEASUREMENTS, RTCM STREAMS
Abstract

2019 16th Workshop on Positioning, Navigation and Communications (WPNC), BREME, ALLEMAGNE, 23-/10/2019 - 24/10/2019; Since the availability of GNSS raw measurements with Google Nougat API in 2016, research has been assessing smartphone performances and GNSS data's quality. The objective is to achieve precise positioning and to assess its quality. With the growing Internet of Things (IoT), embedded sensors spread everywhere for acquiring, assessing and monitoring the environment, for which low-cost and precise positioning is essential. Low-cost does not only relate to the financial cost of the GNSS receiver but also to other costs like data consumption, battery consumption and computation cost. Using the Google API and the new generation of smartphones, these costs can be targeted to produce smarter, more efficient, and optimized positioning solutions for being implemented on other IoT devices. This paper presents research on Real-Time Precise Point Positioning (PPP-RTK) application development in Android. Analysis of needed RTCM (Radio Technical Commission for Maritimes Services) streams is given along with the assessment of their benefits for efficient positioning. Focus is made on evaluating the cost of precise products in terms of internet data consumption.

Published
2019

32. Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition

Author

Renaudin, Valerie, Ortiz, Miguel, PERUL, Johan, Torres-Sospedra, Joaquín, Jiménez, Antonio R., Perez-Navarro, Antoni, Mendoza-Silva, Germán Martín, Seco, Fernando, Landau, Yael, Marbel, Revital, Ben-Moshe, Boaz, Zheng, Xingyu, Feng, Ye, Kuang, Jian, Li, Yu, Niu, Xiaoji, Landa, Vlad, Hacohen, Shlomi, shvalb, Nir, Lu, Chuanhua, and Uchiyama, Hideaki

Subjects
IPIN, indoor positioning, smartphone, competition
Abstract

The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real-time (on-site) and post-processing (off-site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on-site and two off-site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75 th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on-site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off-site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light-weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future.

Published
2019
Full Text
View/download PDF

36. Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition

Author

Renaudin, Valerie, primary, Ortiz, Miguel, additional, Perul, Johan, additional, Torres-Sospedra, Joaquin, additional, Jimenez, Antonio Ramon, additional, Perez-Navarro, Antoni, additional, Martin Mendoza-Silva, German, additional, Seco, Fernando, additional, Landau, Yael, additional, Marbel, Revital, additional, Ben-Moshe, Boaz, additional, Zheng, Xingyu, additional, Ye, Feng, additional, Kuang, Jian, additional, Li, Yu, additional, Niu, Xiaoji, additional, Landa, Vlad, additional, Hacohen, Shlomi, additional, Shvalb, Nir, additional, Lu, Chuanhua, additional, Uchiyama, Hideaki, additional, Thomas, Diego, additional, Shimada, Atsushi, additional, Taniguchi, Rin-Ichiro, additional, Ding, Zhenxing, additional, Xu, Feng, additional, Kronenwett, Nikolai, additional, Vladimirov, Blagovest, additional, Lee, Soyeon, additional, Cho, Eunyoung, additional, Jun, Sungwoo, additional, Lee, Changeun, additional, Park, Sangjoon, additional, Lee, Yonghyun, additional, Rew, Jehyeok, additional, Park, Changjun, additional, Jeong, Hyeongyo, additional, Han, Jaeseung, additional, Lee, Keumryeol, additional, Zhang, Wenchao, additional, Li, Xianghong, additional, Wei, Dongyan, additional, Zhang, Ying, additional, Park, So Young, additional, Park, Chan Gook, additional, Knauth, Stefan, additional, Pipelidis, Georgios, additional, Tsiamitros, Nikolaos, additional, Lungenstrass, Tomas, additional, Morales, Juan Pablo, additional, Trogh, Jens, additional, Plets, David, additional, Opiela, Miroslav, additional, Fang, Shih-Hau, additional, Tsao, Yu, additional, Chien, Ying-Ren, additional, Yang, Shi-Shen, additional, Ye, Shih-Jyun, additional, Ali, Muhammad Usman, additional, Hur, Soojung, additional, and Park, Yongwan, additional

Published
2019
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37. Pedestrian Dead Reckoning Navigation with the Help of A⁎-Based Routing Graphs in Large Unconstrained Spaces

Author

Alaoui, F. Taia, Betaille, David, Renaudin, Valerie, Géolocalisation (IFSTTAR/COSYS/GEOLOC), and PRES Université Nantes Angers Le Mans (UNAM)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)

Subjects
Article Subject, lcsh:T, lcsh:Technology, ITINERARY COMPUTATION, lcsh:Telecommunication, PIETON, LOCALISATION, MEMS, [SPI]Engineering Sciences [physics], lcsh:TK5101-6720, PEDESTRIAN NAVIGATION, NAVIGATION GRAPH, GEOLOCALISATION ET NAVIGATION PAR UN SYSTEME DE SATELLITES - GNSS, CALCUL D'ITINERAIRE
Abstract

An A⁎-based routing graph is proposed to assist PDR indoor and outdoor navigation with handheld devices. Measurements are provided by inertial and magnetic sensors together with a GNSS receiver. The novelty of this work lies in providing a realistic motion support that mitigates the absence of obstacles and enables the calibration of the PDR model even in large spaces where GNSS signal is unavailable. This motion support is exploited for both predicting positions and updating them using a particle filter. The navigation network is used to correct for the gyro drift, to adjust the step length model and to assess heading misalignment between the pedestrian’s walking direction and the pointing direction of the handheld device. Several datasets have been tested and results show that the proposed model ensures a seamless transition between outdoor and indoor environments and improves the positioning accuracy. The drift is almost cancelled thanks to heading correction in contrast with a drift of 8% for the nonaided PDR approach. The mean error of filtered positions ranges from 3 to 5 m.

Published
2017
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