TY - GEN
T1 - Indoor Localization with Data-Driven Prediction using Spatio-Temporal Fusion Transformer
AU - Savvidis, Lazaros S.
AU - Mavromoustakis, Constandinos X.
AU - Markakis, Evangelos K.
AU - Mastorakis, George
AU - Bourdena, Athina
AU - Batalla, Jordi Mongay
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Our previous work combined Wi-Fi FTM and PDR for indoor localization, but lacked prediction. We introduce a Spatio-Temporal Fusion Transformer (STFT) that, in simulation, matches LSTM in accuracy and mean error, while providing robust early-epoch performance in low-data regimes.
AB - Our previous work combined Wi-Fi FTM and PDR for indoor localization, but lacked prediction. We introduce a Spatio-Temporal Fusion Transformer (STFT) that, in simulation, matches LSTM in accuracy and mean error, while providing robust early-epoch performance in low-data regimes.
UR - https://www.scopus.com/pages/publications/105033359360
U2 - 10.1109/NFV-SDN66355.2025.11349571
DO - 10.1109/NFV-SDN66355.2025.11349571
M3 - Conference contribution
AN - SCOPUS:105033359360
T3 - 2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking, NFV-SDN 2025
BT - 2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking, NFV-SDN 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking, NFV-SDN 2025
Y2 - 10 November 2025 through 12 November 2025
ER -