Pedestrian Heading Estimation Based on Spatial Transformer Networks and Hierarchical LSTM

Pedestrian Heading Estimation Based on Spatial Transformer Networks and Hierarchical LSTM

Accurate heading estimation is the foundation of numerous applications, including augmented reality, pedestrian dead reckoning, and human-computer interactions. While magnetometer is a key source of heading information, the poor accuracy of consumer-grade hardware coupled with the pervasive magnetic...

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Bibliographic Details
Main Authors: Qu Wang, Haiyong Luo, Langlang Ye, Aidong Men, Fang Zhao, Yan Huang, Changhai Ou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Indoor positioning
heading estimation
pedestrian dead reckoning
deep learning
Online Access:https://ieeexplore.ieee.org/document/8888268/

Internet

https://ieeexplore.ieee.org/document/8888268/

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