Context-assisted personalized pedestrian dead reckoning localization with a smartphone

Article Properties
  • Language
    English
  • Publication Date
    2024/04/17
  • Indian UGC (journal)
  • Refrences
    47
  • Gege Huang State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China ORCID (unauthenticated)
  • Jingbin Liu State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China ORCID (unauthenticated)
  • Sheng Yang State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China ORCID (unauthenticated)
  • Xiaodong Gong State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China ORCID (unauthenticated)
  • Yinzhi Zhao School of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaKey Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan, China ORCID (unauthenticated)
Cite
Huang, Gege, et al. “Context-Assisted Personalized Pedestrian Dead Reckoning Localization With a Smartphone”. Geo-Spatial Information Science, 2024, pp. 1-17, https://doi.org/10.1080/10095020.2024.2338225.
Huang, G., Liu, J., Yang, S., Gong, X., & Zhao, Y. (2024). Context-assisted personalized pedestrian dead reckoning localization with a smartphone. Geo-Spatial Information Science, 1-17. https://doi.org/10.1080/10095020.2024.2338225
Huang, Gege, Jingbin Liu, Sheng Yang, Xiaodong Gong, and Yinzhi Zhao. “Context-Assisted Personalized Pedestrian Dead Reckoning Localization With a Smartphone”. Geo-Spatial Information Science, 2024, 1-17. https://doi.org/10.1080/10095020.2024.2338225.
1.
Huang G, Liu J, Yang S, Gong X, Zhao Y. Context-assisted personalized pedestrian dead reckoning localization with a smartphone. Geo-spatial Information Science. 2024;:1-17.
Refrences
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Proceedings of the 13th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2000) 2000
Preprocessing techniques for context recognition from accelerometer data Personal and Ubiquitous Computing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Science (General): Cybernetics: Information theory
232 2010
10.1109/JSEN.2018.2857502
10.1109/IPIN.2014.7275473