FlexPDR: Fully Flexible Pedestrian Dead Reckoning Using Online Multimode Recognition and Time-Series Decomposition-Reference-Cited by-同舟云学术

FlexPDR: Fully Flexible Pedestrian Dead Reckoning Using Online Multimode Recognition and Time-Series Decomposition

Author:

Yan Dayu¹^ORCID,Shi Chuang¹,Li Tuan²^ORCID,Li You³^ORCID

Affiliation:

1. School of Electronic Information Engineering, Beihang University, Beijing, China

2. Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing, China

3. State Key Laboratory of Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

Funder

National Key Research and Development Program of China

Joint Foundation for Ministry of Education of China

State Key Program of National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference49 articles.

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