A credibility scoring algorithm to match surveillance video targets and UWB tags-Reference-Cited by-同舟云学术

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A credibility scoring algorithm to match surveillance video targets and UWB tags

Published:2024-06-10 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Yan Jiachen,Yang Guang,Li Weihong,Lin Qunxiong,Chen Junjie,Huang Chen

Funder

Guangdong Provincial Department of Science and Technology

Ministry of Public Security of the People's Republic of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11276-024-03768-4.pdf

Reference36 articles.

1. Asaad, S. M., & Maghdid, H. S. (2022). A comprehensive review of indoor/outdoor localization solutions in IoT era: research challenges and future perspectives. Computer Networks, 212, 109041. https://doi.org/10.1016/j.comnet.2022.109041

2. Zhuang, Y., Wang, Q., Shi, M., Cao, P., Qi, L., & Yang, J. (2019). Low-power centimeter-level localization for indoor mobile robots based on ensemble Kalman Smoother using received signal strength. IEEE Internet of Things Journal, 6(4), 6513–6522. https://doi.org/10.1109/JIOT.2019.2907707

3. Otero, R., Lagüela, S., Garrido, I., & Arias, P. (2020). Mobile indoor mapping technologies: A review. Automation in Construction, 120, 103399. https://doi.org/10.1016/j.autcon.2020.103399

4. A. Samberg and A. Boukalov, “Perspective federated testbed for public safety communications, ubiquitous positioning, indoor navigation and location based services,” In: 2010 Ubiquitous Positioning Indoor Navigation and Location Based Service, Kirkkonummi, Finland: IEEE, Oct. 2010, pp. 1–6. doi: https://doi.org/10.1109/UPINLBS.2010.5654289.

5. Dai, Y., Hu, Z., Zhang, S., & Liu, L. (2022). A survey of detection-based video multi-object tracking. Displays, 75, 102317. https://doi.org/10.1016/j.displa.2022.102317

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