Recent Advances in Indoor Localization via Visible Lights: A Survey

Rahman, Arrasy; Li, Ting; Wang, Weichao

doi:10.3390/s20051382

Cited by 109 publications

(70 citation statements)

References 88 publications

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“…For a better understanding of recent literature surrounding this topic, we also found some surveys that consider VLC solutions for localization [172], [183]. In these surveys, the authors acknowledge that power consumption, security, and throughput are better than RF counterparts and provide additional research done within this field.…”

Section: A Localizationmentioning

confidence: 99%

Optical Wireless Communication for the Internet of Things: Advances, Challenges, and Opportunities

Hamza¹,

Tripp²

2020

Preprint

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<div>The continuous development of the Internet of Things (IoT) calls for innovative solutions and technologies to realize the IoT vision efficiently. One of the rising connectivity technologies that can potentially benefit the IoT deployment is Optical Wireless Communication (OWC) technology. In OWC, light beams from light sources are used to modulate information. The receiver demodulates the received light and processes the signal. The broad unlicensed spectrum of the OWC technology, along with its potential high bit-rate and increased physical link security, motivated researchers to consider OWC for IoT solutions. In this paper, we survey the existing literature related to using OWC technology in the IoT domain. We present the background and preliminaries of the IoT and OWC domains to understand how the OWC fits in the IoT architecture. Then we perform a comprehensive survey of literature related to the use of OWC technology in IoT applications. We highlight and summarize the major papers and experiments in the literature to provide researchers a jump-start to tap into the domain of OWC in IoT using the systemic and detailed survey presented in this paper.</div>

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Section: A Localizationmentioning

confidence: 99%

Optical Wireless Communication for the Internet of Things: Advances, Challenges, and Opportunities

Hamza¹,

Tripp²

2020

Preprint

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“…Visible Light Positioning (VLP) is the latest indoor localisation technology, competing with, amongst others, ultra-wideband (UWB), Bluetooth Low Energy (BLE) and WiFi for a share of the booming Indoor Positioning and Indoor Navigation market. As a neophyte technology, VLP mainly situates itself in the research stage [ 1 ]. However, early (commercial) roll-outs have already appeared as well [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Study on Light Signals of Opportunity for Subdecimetre Unmodulated Visible Light Positioning

Bastiaens

Deprez

Martens

et al. 2020

Sensors

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Currently, visible light positioning (VLP) enabling an illumination infrastructure requires a costly retrofit. Intensity modulation systems not only necessitate changes to the internal LED driving module, but decrease the LEDs’ radiant flux as well. This hinders the infrastructure’s ability to meet the maintained illuminance standards. Ideally, the LEDs could be left unmodulated, i.e., unmodulated VLP (uVLP). uVLP systems, inherently low-cost, exploit the characteristics of the light signals of opportunity (LSOOP) to infer a position. In this paper, it is shown that proper signal processing allows using the LED’s characteristic frequency (CF) as a discriminative feature in photodiode (PD)-based received signal strength (RSS) uVLP. This manuscript investigates and compares the aptitude of (future) RSS-based uVLP and VLP systems in terms of their feasibility, cost and accuracy. It demonstrates that CF-based uVLP exhibits an acceptable loss of accuracy compared to (regular) VLP. For point source-like LEDs, uVLP only worsens the trilateration-based median p50 and 90th percentile root-mean-square error p90 from 5.3cm to 7.9cm (+50%) and from 9.6cm to 15.6cm (+62%), in the 4m × 4m room under consideration. A large experimental validation shows that employing a robust model-based fingerprinting localisation procedure, instead of trilateration, further boosts uVLP’s p50 and p90 accuracy to 5.0cm and 10.6cm. When collating with VLP’s p50=3.5cm and p90=6.8cm, uVLP exhibits a comparable positioning performance at a significantly lower cost and at a higher maintained illuminance, all of which underline uVLP’s high adoption potential. With this work, a significant step is taken towards the development of an accurate and low-cost tracking system.

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“…Wi-Fi [9] [10], Bluetooth [11], radio frequency identification (RFID) [12], ultra wideband (UWB) [13]) and emerging technologies (e.g. visible light [14], ultrasound [15], magnetic field [16]). The most popular among these techniques are the Wi-Fi based localization methods operated through software implementations and firmware upgrades on Wi-Fi based communication systems.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Based Data Recovery for Localization

et al. 2020

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In this paper, we study the problem of euclidean distance matrix (EDM) recovery aiming to tackle the problem of received signal strength indicator sparsity and fluctuations in indoor environments for localization purposes. This problem is addressed under the constraints required by the internet of things communications ensuring low energy consumption and reduced online complexity compared to classical completion schemes. We propose EDM completion methods based on neural networks that allow an efficient distance recovery and denoising. A trilateration process is then applied to recovered distances to estimate the target's position. The performance of different deep neural networks (DNN) and convolutional neural networks schemes proposed for matrix reconstruction are evaluated in a simulated indoor environment, using a realistic propagation model, and compared with traditional completion method based on the adaptative moment estimation algorithm. Obtained results show the superiority of the proposed DNN based completion systems in terms of localization mean error and online complexity compared to the classical completion.

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Recent Advances in Indoor Localization via Visible Lights: A Survey

Cited by 109 publications

References 88 publications

Optical Wireless Communication for the Internet of Things: Advances, Challenges, and Opportunities

Optical Wireless Communication for the Internet of Things: Advances, Challenges, and Opportunities

A Comprehensive Study on Light Signals of Opportunity for Subdecimetre Unmodulated Visible Light Positioning

Deep Learning Based Data Recovery for Localization

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