A Method for Improving the Accuracy of Pedestrian Position Estimation in Smartphones
Author:
Affiliation:
1. College of Science and Engineering, Ritsumeikan University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Link
https://www.jstage.jst.go.jp/article/ieejeiss/144/2/144_97/_pdf
Reference20 articles.
1. (1) X. Hou and J. Bergmann: “Pedestrian Dead Reckoning With Wearable Sensors: A Systematic Review”, IEEE Sensors Journal, Vol. 21, No. 1, pp. 143-152 (2020)
2. (2) 西尾 信彦：「図解よくわかる 屋内測位と位置情報」，日刊工業新聞社(2018)
3. (3) Q. Zeng, J. Wang, Q. Meng, X. Zhang, and S. Zeng: “Seamless Pedestrian Navigation Methodology Optimized for Indoor/Outdoor Detection”, IEEE Sensors Journal, Vol. 18, No. 1, pp. 363-374 (2017)
4. (4) J. Racko, P. Brida, A. Perttula, J. Parviainen, and J. Collin: “Pedestrian Dead Reckoning with Particle Filter for Handheld Smartphone”, Indoor Positioning and Indoor Navigation (IPIN), pp. 1-7 (2016)
5. (5) S. Shin, C. Park, J. Kim, H. Hong, and J. Lee: “Adaptive Step Length Estimation Algorithm Using Low-Cost MEMS Inertial Sensors”, IEEE sensors applications symposium, pp. 1-5 (2007)
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