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arXiv · 2008.08790

Joint Visual and Wireless Signal Feature based Approach for High-Precision Indoor Localization

Yu Wang·Guangbing Zhou·Chenlu Xiang·Shunqing Zhang·Shugong Xu
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Abstract

The existing localization systems for indoor applications basically rely on wireless signal. With the massive deployment of low-cost cameras, the visual image based localization become attractive as well. However, in the existing literature, the hybrid visual and wireless approaches simply combine the above schemes in a straight forward manner, and fail to explore the interactions between them. In this paper, we propose a joint visual and wireless signal feature based approach for high-precision indoor localization system. In this joint scheme, WiFi signals are utilized to compute the coarse area with likelihood probability and visual images are used to fine-tune the localization result. Based on the numerical results, we show that the proposed scheme can achieve 0.62m localization accuracy with near real-time running time.

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Yu Wang, Guangbing Zhou, Chenlu Xiang, Shunqing Zhang, Shugong Xu. 2020-08-20. Joint Visual and Wireless Signal Feature based Approach for High-Precision Indoor Localization. https://arxiv.org/abs/2008.08790

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