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NTIS 바로가기Journal of Positioning, Navigation, and Timing, v.12 no.4, 2023년, pp.399 - 408
Eui Yeon Cho (Department of IT Engineering, Kyungil University) , Jae Uk Kwon (Department of IT Engineering, Kyungil University) , Seong Yun Cho (School of Smart Design Engineering, Kyungil University) , JaeJun Yoo (Mobility UX Section, Electronics and Telecommunications Research Institute) , Seonghun Seo (Mobility UX Section, Electronics and Telecommunications Research Institute)
In this paper, we propose a solution that enables continuous indoor/outdoor positioning of smartphone users through the integration of Pedestrian Dead Reckoning (PDR) and GPS/WiFi signals. Considering that accurate step detection affects the accuracy of PDR, we propose a Deep Neural Network (DNN)-ba...
Cho, E. Y., Kwon, J. U., Chae, M. S., Cho, S. Y., Yoo, J., et?al. 2023, Indoor Positioning Technology Integrating?Pedestrian Dead Reckoning and WiFi Fingerprinting?Based on EKF with Adaptive Error Covariance, Journal?of Positioning, Navigation, and Timing, 12, 271-280.?https://doi.org/10.11003/JPNT.2023.12.3.271
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Kwon, J. U., Chae, M. S., Cho, E., Y., & Cho, S. Y. 2023, Fast?Generation of Wi-Fi Positioning Fingerprint Database?Using Reference Location Information Acquired Based?on 1D-PDR, IPIN 2023, Nuremberg, Germany, 25-28?September 2023.
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