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Indoor Navigation Using Hybrid Personal Pedestrian Dead Reckoning (Hybrid P-PDR)
2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), 2022Gheorghita Ghinea +2 more
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TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON), 2023
Ryoya Shiraiwa +2 more
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Ryoya Shiraiwa +2 more
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Robust pedestrian dead reckoning (R-PDR) for arbitrary mobile device placement
2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2014Pedestrian dead reckoning, especially on smart-phones, is likely to play an increasingly important role in indoor tracking and navigation, due to its low cost and ability to work without any additional infrastructure. A challenge however, is that positioning, both in terms of step detection and heading estimation, must be accurate and reliable, even ...
Zhuoling Xiao +3 more
openaire +1 more source
ION Pacific PNT, 2019
Pedestrian navigation using smartphones is a challenging problem that usually takes place in Global Navigation Satellite Systems (GNSS) deprived environments such as indoor and urban canyon. Such navigation techniques rely heavily on inertial measurements using Dead Reckoning (DR) techniques. The problem arises from two factors, the first being the use
Maan E. Khedr +2 more
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Pedestrian navigation using smartphones is a challenging problem that usually takes place in Global Navigation Satellite Systems (GNSS) deprived environments such as indoor and urban canyon. Such navigation techniques rely heavily on inertial measurements using Dead Reckoning (DR) techniques. The problem arises from two factors, the first being the use
Maan E. Khedr +2 more
openaire +1 more source
Anomaly Detection for Trustworthy Personalized Pedestrian Dead Reckoning (PDR) Navigation
2025 IEEE/ION Position, Location and Navigation Symposium (PLANS)Artificial Intelligence (AI) is widely used in the field of Pedestrian Dead Reckoning (PDR) research. The personalized PDR framework MAPIN (Mobility Adapted Pedestrian Inertial Navigation) presented in our previous work shows superior accuracy and robustness compared to a generic model.
Fu, Hanyuan, Renaudin, Valerie
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Research on multi-sensor pedestrian dead reckoning method with UKF algorithm
Measurement: Journal of the International Measurement Confederation, 2021Huixia Li, Hang Guo
exaly