Vision-Based Indoor Corridor Localization via Smartphone Using Relative Distance Perception and Deviation Compensation

Author:

Yang FanORCID,Chan Keith C. C.,Fang YuHan,Zhang Qing

Funder

West Light Foundation of the Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Reference23 articles.

1. Yang T, Cabani A, Chafouk H. A survey of recent indoor localization scenarios and methodologies. Sensors. 2021;21:8086.

2. Wang Z, Chen R, Xu S, Liu Z, Guo G, Chen L. A novel method locating pedestrian with smartphone indoors using acoustic fingerprints. IEEE Sens J. 2021;21(24):27887–96.

3. Chen R, Chen L. Smartphone-based indoor positioning technologies. Singapore: Springer Singapore; 2021. p. 467–90.

4. IEEE standard for information technology–telecommunications and information exchange between systems—local and metropolitan area networks-specific requirements—part 11: Wireless LAN medium access control (MAC) and physical layer (phy) specifications—corrigendum 1—correct IEEE 802.11ay assignment of protected announce support bit, IEEE Std 802.11-2020/Cor 1-2022 (Corrigendum to IEEE Std 802.11-2020 as amended by IEEE Std 802.11ax-2021, IEEE Std 802.11ay-2021, and IEEE Std 802.11ba-2021). 2022:1–8.

5. Bellavista-Parent V, Torres-Sospedra J, Perez-Navarro A. New trends in indoor positioning based on wifi and machine learning: a systematic review. In: 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2021, p. 1–8.

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