Real-Time Pose Prediction and Dynamic Anchor Selection for Ultra-Wideband Tagless Gate

被引:0
|
作者
Choi, Junyoung [1 ]
Lee, Joohyun [1 ]
Bhattacharya, Sagnik [1 ]
机构
[1] Samsung Elect, Samsung Res, Seoul 06620, South Korea
来源
IEEE ACCESS | 2025年 / 13卷
关键词
Logic gates; Channel impulse response; Location awareness; Distance measurement; Deep learning; Real-time systems; Hands; Accuracy; Indexes; Antenna measurements; UWB; proximity service; deep learning; channel impulse response; line-of-sight; CLASSIFICATION; MITIGATION; ALGORITHM;
D O I
10.1109/ACCESS.2025.3537976
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Ultra-wideband (UWB) is emerging as a promising solution that can realize proximity services, such as UWB tagless gate (UTG), thanks to centimeter-level localization accuracy based on two different ranging methods such as downlink time-difference of arrival (DL-TDoA) and double-sided two-way ranging (DS-TWR). The UTG is a UWB-based proximity service that provides seamless gate pass system without requiring real-time mobile device (MD) tapping. The location of MD is calculated using DL-TDoA, and the MD communicates with the nearest UTG using DS-TWR to open the gate. In addition, the location of the user and MD might be different because of the pose of MD. Therefore, the knowledge about exact location and the pose of MD is the main challenge of UTG, and hence we provide the solutions for both DL-TDoA and DS-TWR. In this paper, we propose dynamic anchor selection for extremely accurate DL-TDoA localization and pose prediction for DS-TWR, called DynaPose. Based on the channel impulse response of UWB, DynaPose classifies the signal condition, such as line-of-sight (LOS) and non-LOS (NLOS), using deep learning models. To calculate the exact location of MD, DynaPose selects LOS signals to minimize the localization error from NLOS signals. DynaPose is implemented on Samsung Galaxy Note20 Ultra and Qorvo UWB board to show the feasibility and applicability. DynaPose achieves a LOS/NLOS classification accuracy of 0.984, and ultimately detects four different poses with an accuracy of 0.961 in real-time. Finally, the localization accuracy is achieved by 2.23 cm and 17.86 cm in static and dynamic scenarios, respectively.
引用
收藏
页码:23717 / 23731
页数:15
相关论文
共 50 条
  • [41] Dynamic random regression forests for real-time head pose estimation
    Ying, Ying
    Wang, Han
    MACHINE VISION AND APPLICATIONS, 2013, 24 (08) : 1705 - 1719
  • [42] Dynamic random regression forests for real-time head pose estimation
    Ying Ying
    Han Wang
    Machine Vision and Applications, 2013, 24 : 1705 - 1719
  • [43] Dynamic travel time prediction with real-time and historic data
    Chien, SIJ
    Kuchipudi, CM
    JOURNAL OF TRANSPORTATION ENGINEERING, 2003, 129 (06) : 608 - 616
  • [44] Real-Time and High-Accuracy Microwave Frequency Identification Based on Ultra-Wideband Optical Chirp Chain Transient SBS Effect
    Wang, Henan
    Dong, Yongkang
    LASER & PHOTONICS REVIEWS, 2023, 17 (07)
  • [45] An Ultra-Wideband Vivaldi and Linear Hybrid Taper Antenna for use in a Near-Field Real-Time Phased Array Radar System
    Sandora, John S.
    Charvat, Gregory L.
    2013 IEEE INTERNATIONAL SYMPOSIUM ON PHASED ARRAY SYSTEMS AND TECHNOLOGY, 2013, : 307 - 313
  • [46] Real-time 59.2 Tb/s Unrepeated Transmission over 201.6 km Using Ultra-wideband SOA as High Power Booster
    Zhao, Xiaohui
    Le Gac, Dylan
    Landero, Salma Escobar
    Demirtzioglou, Iosif
    Lorences-Riesgo, Abel
    Godard, Loig
    El Dandah, Nayla
    Gao, Ge
    Brenot, Romain
    Frignac, Yann
    Charlet, Gabriel
    2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC), 2022,
  • [47] Dynamic real-time prediction of flood inundation probabilities
    Romanowicz, R
    Beven, K
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 1998, 43 (02): : 181 - 196
  • [48] Method of real-time pose location based on structural feature of dynamic target
    Wang, Kun
    You, Anqing
    He, Xi
    Wang, Lei
    Wang, K. (pgained@gmail.com), 1600, Chinese Society of Astronautics (42): : 3029 - 3034
  • [49] Window-Based Channel Impulse Response Prediction for Time-Varying Ultra-Wideband Channels
    Al-Samman, A. M.
    Azmi, M. H.
    Rahman, T. A.
    Khan, I.
    Hindia, M. N.
    Fattouh, A.
    PLOS ONE, 2016, 11 (12):
  • [50] Anchor Pair Selection for Error Correction in Time Difference of Arrival (TDoA) Ultra Wideband (UWB) Positioning Systems
    van Herbruggen, Ben
    Fontaine, Jaron
    de Poorter, Eli
    INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2021), 2021,