Multi-data fusionaided indoor localization based on continuous action space deep reinforcement learning

Multi-data fusionaided indoor localization based on continuous action space deep reinforcement learning

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Significant attention has been paid to indoor localization using smartphones in both research and industry.However, the accuracy and robustness of localization remain challenging issues, particularly in complex indoor environments.In light of the prevalent incorporation of pedestrian dead reckoning...

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Bibliographic Details
Main Authors: Xuechen CHEN, Jiaxuan YI, Aixiang WANG, Xiaoheng DENG
Format: Article
Language:zho
Published: China InfoCom Media Group 2024-03-01
Series:物联网学报
Subjects:
Wi-Fi;pedestrian dead reckoning;indoor localization;twin delayed deep deterministic policy gradient;deep reinforcement learning
Online Access:http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2024.00358

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http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2024.00358

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