Listar por autoría "fe481c98-ca69-413e-badb-25ace9648b33"

Mostrando ítems 1-5 de 5

    • openAccess   Comparing the Performance of Indoor Localization Systems through the EvAAL Framework 

      Potortì, Francesco; Park, Sangjoon; Jimenez Ruiz, Antonio Ramon; Barsocchi, Paolo; GIROLAMI, MICHELE; Crivello, Antonino; Lee, So-Yeon; Lim, Jae Hyun; Torres-Sospedra, Joaquín; Seco, Fernando; Montoliu Colás, Raul; Mendoza-Silva, Germán Martín; María del Carmen, Pérez Rubio; Cristina, Losada Gutiérrez; Espinosa, Felipe; Macias-Guarasa, Javier MDPI (2017)
      In recent years, indoor localization systems have been the object of significant research activity and of growing interest for their great expected social impact and their impressive business potential. Application areas ...

    • openAccess   Discovering location based services: A unified approach for heterogeneous indoor localization systems 

      Furfari, Francesco; Crivello, Antonino; Baronti, Paolo; Barsocchi, Paolo; GIROLAMI, MICHELE; Palumbo, Filippo; Quezada Gaibor, Darwin; Mendoza-Silva, Germán Martín; Torres-Sospedra, Joaquín Elsevier B.V. (2021-03-01)
      The technological solutions and communication capabilities offered by the Internet of Things paradigm, in terms of raising availability of wearable devices, the ubiquitous internet connection, and the presence on the ...

    • closedAccess   Let’s Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting 

      Torres-Sospedra, Joaquín; Pendão, Cristiano; Silva, Ivo; Meneses, Filipe; Quezada Gaibor, Darwin; Montoliu Colás, Raul; Crivello, Antonino; Barsocchi, Paolo; Pérez-Navarro, Antoni; Moreira, Adriano Institute of Electrical and Electronics Engineers Inc. (2023-09-25)
      Microsoft proposed RADAR in 2000, the first indoor positioning system based on Wi-Fi fingerprinting. Since then, the indoor research community has worked not only to improve the base estimator but also on finding an optimal ...

    • openAccess   The IPIN 2019 Indoor Localisation Competition—Description and Results 

      Potortì, Francesco; Park, Sangjoon; Crivello, Antonino; Palumbo, Filippo; GIROLAMI, MICHELE; Barsocchi, Paolo; Lee, Soyeon; Torres-Sospedra, Joaquín; Jimenez Ruiz, Antonio Ramon; Perez-Navarro, Antoni; Mendoza-Silva, Germán Martín; 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, Jeongsik; 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; 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, 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 IEEE (2020-11-10)
      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 ...

    • openAccess   Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets 

      Torres-Sospedra, Joaquín; Silva, Ivo; Klus, Lucie; Quezada Gaibor, Darwin; Crivello, Antonino; Barsocchi, Paolo; Pendão, Cristiano; Lohan, Elena Simona; Nurmi, Jari; Moreira, Adriano IEEE (2021-11-29)
      The evaluation of Indoor Positioning Systems (IPSs) mostly relies on local deployments in the researchers’ or partners’ facilities. The complexity of preparing comprehensive experiments, collecting data, and considering ...