Space-Time-Multiplexed Multi-Image Visible Light Positioning System Exploiting Pseudo-Miller-Coding for Smart Phones

Li, Zhengpeng; Jiang, Ming; Zhang, Xiaona; Chen, Xianyu; Hou, Weikun

doi:10.1109/twc.2017.2759763

Cited by 12 publications

(3 citation statements)

References 28 publications

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“…[2][3][4] Depending on the types of the devices used for optical signal detection, the VLP schemes can be classified into two categories. The first one is referred to as the imaging VLP (iVLP) technologies, [5][6][7][8] which employs an image sensor (IS) as the front-end of the receiver to detect the transmitted signals. However, powerful iVLP solutions usually rely on the fast image detection, recognition, and tracking procedures, 9 which are costly from an implementation perspective.…”

Section: Introductionmentioning

confidence: 99%

Multi-directional light-emitting diode aided visible light positioning system exploiting regular pyramid: design and demonstration

Xie

Luo

et al. 2023

Opt. Eng.

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.The existing multi-directional light-emitting diode (MD-LED) aided visible light positioning (VLP) scheme is difficult to physically implement. An improved MD-LED based VLP scheme is proposed, in which we devise an integrated single lamp that consists of a regular pyramid metal block and multiple standard Lambert radiation light-emitting diode chips, which are mounted on different planes of the metal block. In addition, a localization algorithm exploiting received signal strength ratio based on linear least squares is provided. Simulation and experiment results show that this scheme can achieve an average localization accuracy of 5 and 11 cm, respectively, at a known height in the realistic mobile user scenario with a tilting receiver. Compared with the existing MD-LED aided VLP scheme, this scheme implements the first ever prototype MD-LED lamp and has a low implementation cost.

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Section: Introductionmentioning

confidence: 99%

Multi-directional light-emitting diode aided visible light positioning system exploiting regular pyramid: design and demonstration

Xie

Luo

et al. 2023

Opt. Eng.

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show abstract

“…With the rapid development of complementary metal oxide semiconductor (CMOS) technologies, CMOS image sensors have become popular with consumer and vehicle electronics, telemedicine, video surveillance, space exploration, fluorescence detection, and so on [1][2][3][4]. However, images generated by these sensors inevitably contain noise, owing to their internal structure, which results in image quality degradation [5,6], and thus, estimating these noise parameters accurately assumes paramount importance in improving the performance of denoising algorithms [3,4,[7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation of Poisson–Gaussian Signal-Dependent Noise from Single Image of CMOS/CCD Image Sensor Using Local Binary Cyclic Jumping

Zhang

et al. 2021

Sensors

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Since signal-dependent noise in a local weak texture region of a noisy image is approximated as additive noise, the corresponding noise parameters can be estimated from a given set of weakly textured image blocks. As a result, the meticulous selection of weakly textured image blocks plays a decisive role to estimate the noise parameters accurately. The existing methods consider the finite directions of the texture of image blocks or directly use the average value of an image block to select the weakly textured image block, which can result in errors. To overcome the drawbacks of the existing methods, this paper proposes a novel noise parameter estimation method using local binary cyclic jumping to aid in the selection of these weakly textured image blocks. The texture intensity of the image block is first defined by the cumulative average of the LBCJ information in the eight neighborhoods around the pixel, and, subsequently, the threshold is set for selecting weakly textured image blocks through texture intensity distribution of the image blocks and inverse binomial cumulative function. The experimental results reveal that the proposed method outperforms the existing alternative algorithms by 23% and 22% for the evaluative measures of MSE (a) and MSE (b), respectively.

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“…Sistemas que utilizam sonares e laserscans proporcionam resultados satisfatórios, porém seus custos são altos. Já tecnologias baseadas em rádio frequência, como bluetooth e WiFi, são mais baratas, porém possuem baixo desempenho já que o seu sinal sofre reflexão, difração e espalhamento das ondas de raio (Li et al, 2017), além de padecerem com interferências eletromagnéticas. Também, para estas, existem lugares onde são proibidas, como em aviões e hospitais (Sahin et al, 2015a).…”

Section: Introductionunclassified

Localização em Ambientes Internos Usando a Tecnologia de Comunicação por Luz Visível

Lopes

Soares

Lima

et al. 2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

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Space-Time-Multiplexed Multi-Image Visible Light Positioning System Exploiting Pseudo-Miller-Coding for Smart Phones

Cited by 12 publications

References 28 publications

Multi-directional light-emitting diode aided visible light positioning system exploiting regular pyramid: design and demonstration

Multi-directional light-emitting diode aided visible light positioning system exploiting regular pyramid: design and demonstration

Parameter Estimation of Poisson–Gaussian Signal-Dependent Noise from Single Image of CMOS/CCD Image Sensor Using Local Binary Cyclic Jumping

Localização em Ambientes Internos Usando a Tecnologia de Comunicação por Luz Visível

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