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

Autor:	Wang, Yu, Zhou, Guangbing, Xiang, Chenlu, Zhang, Shunqing, Xu, Shugong
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: To appear in Globecom 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2008.08790 Zobrazit plný text záznamu View this record from Arxiv