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1 Ergebnisse
1
Pedestrian Heading Estimation Based on F-LSTM Neural Networ:
, In:
2023 IEEE 16th International Conference on Electronic Measurement & Instruments (ICEMI)
,
Liu, Faming
;
Liu, Kai
;
Guo, Xiye
... - p. 417-422 , 2023
Link:
https://doi.org/10.1109/ICEMI59194.2023.10270360
RT T1 <cTitle>2023 IEEE 16th International Conference on Electronic Measurement & Instruments (ICEMI)</cTitle>: T1 <Title>Pedestrian Heading Estimation Based on F-LSTM Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10270360&Exemplar=1&LAN=DE A1 Liu, Faming A1 Liu, Kai A1 Guo, Xiye A1 Chen, Guokai A1 Zhou, Peng A1 Yang, Jun YR 2023 K1 Training K1 Estimation error K1 Pedestrians K1 Magnetometers K1 Neural networks K1 Data collection K1 Approximation algorithms K1 heading estimation K1 pedestrian dead reckoning K1 neural network SP 417 OP 422 LK http://dx.doi.org/https://doi.org/10.1109/ICEMI59194.2023.10270360 DO https://doi.org/10.1109/ICEMI59194.2023.10270360 SF ELIB - SuUB Bremen
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