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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Wang, Qu, Luo, Haiyong, Ye, Langlang, Men, Aidong, Zhao, Fang, Huang, Yan, Ou, Changhai
Muut tekijät: School of Computer Science and Engineering
Aineistotyyppi: Journal Article
Kieli:English
Julkaistu: 2021
Aiheet:
Linkit:https://hdl.handle.net/10356/145757

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