Indoor Positioning by LED Visible Light Communication and Image Sensors

Rahman, Mohammad Shaifur; Haque, M. Mejbaul; Kim, Ki-Doo

doi:10.11591/ijece.v1i2.165

Cited by 86 publications

(74 citation statements)

References 5 publications

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“…The positioning error shows decreasing zigzags as the number of pixels per line is increased. This is due to the quantization error at the image sensors [12]. With the proposed algorithm, the mean absolute positioning errors for 1000, 1600, 2200, and 3000 pixels per line are 2.49 cm, 1.41 cm, 1.43 cm, and 0.46 cm, respectively.…”

Section: Simulationmentioning

confidence: 99%

“…Figure 4 shows the mean absolute positioning error of the proposed positioning algorithm and the conventional positioning algorithm with vector estimation [12]. The number of pixels per line of the image sensor is increased from 600 to 3000 with a step of 200 pixels.…”

Section: Simulationmentioning

confidence: 99%

“…Location estimation in this system requires at least three fluorescent lamps, to be detected by the photo sensor, which implies some limitations in indoor positioning. Also, indoor positioning schemes based on VLC and image sensors have been researched [10][11][12][13]. High-accuracy indoor positioning using visible LED lights and an image sensor has been proposed [10].…”

Section: Introductionmentioning

confidence: 99%

“…The mobile receiver detects the contents, transmission direction and angle of arrival of the position signal utilizing a receiver that consists of a photo detector and an image sensor device. Indoor positioning using lighting LEDs and two image sensors has been proposed [12]. In this scheme, four LEDs transmit their three-dimensional coordinate information, and a mobile receiver with two image sensors demodulates the information and calculates the indoor position from the geometrical relations of the LED images created on the image sensors.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Indoor Positioning System using LED Lights and a Dual Image Sensor

Moon

Choi

Park

et al. 2015

Journal of the Optical Society of Korea

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In recent years, along with the rapid development of LED technology, indoor positioning systems based on visible light communication (VLC) have been researched. In this paper, we propose an accurate indoor positioning method using white-light LEDs and a dual image sensor. Indoor LED lights are located at the ceiling in a room and broadcast information on their positions using VLC technology. A mobile device with a dual image sensor receives LED position information by VLC and estimates its position and azimuth angle. Simulation and experimental results are given to show the performance of the proposed indoor positioning system.

show abstract

Section: Simulationmentioning

confidence: 99%

Section: Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Indoor Positioning System using LED Lights and a Dual Image Sensor

Moon

Choi

Park

et al. 2015

Journal of the Optical Society of Korea

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show abstract

“…Another method of detecting the symptoms of obstructive sleep apnea involves extracting the features of time and frequency domains through analysis of the electrocardiogram signals and heart rate variability induced therefrom, and applying them to the RBF (Radial Basis Function) network, which is a neuropil [14]. This method, however, has low detection rates and is not available for use in households.…”

Section: Related Researchmentioning

confidence: 99%

A Study on the Sleep Analysis Using H-MOTE2420 Sensor and Scene Change Detection

Shin

Rhee

Jang

et al. 2014

IJMUE

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Optimization of received signal strength in visible light communication using the combination of heuristic algorithms

Pandarinathan,

Jeyachitra

2024

Int J Communication

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SummaryLEDs are a prominent technique for a pervasive communication system using visible light communication (VLC), since LED includes long life expectancy, fast switching, and being visible light and is less expensive, which is safe for the human body, though still many technical problems presented to be addressed, especially in an indoor environment. Due to this, the major aim of this task is to afford a hybridized optimization algorithm that is highly suitable for enabling the signal to noise ratio (SNR) and received signal strength (RSS) maximization in VLC. Here, the coordinate of each point of the receiver photo detector in the VLC system is tuned by the new hybridized algorithm. The fusion of two optimization algorithms like Deer Hunting Optimization Algorithm (DHOA) and Dragonfly Algorithm (DA) termed as Fitness‐oriented Dragonfly‐based DHOA (FD‐DHOA) is used to attain the objective concerning the RSS or received power and SNR. The proposed model tries to attain maximum RSS and SNR at the receiver instead of calculating it at every angle. Moreover, the experimental analysis proves that the developed model validates the orientation that generates an optimum RSS and SNR value at the receiver.

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Indoor Positioning by LED Visible Light Communication and Image Sensors

Cited by 86 publications

References 5 publications

Indoor Positioning System using LED Lights and a Dual Image Sensor

Indoor Positioning System using LED Lights and a Dual Image Sensor

A Study on the Sleep Analysis Using H-MOTE2420 Sensor and Scene Change Detection

Optimization of received signal strength in visible light communication using the combination of heuristic algorithms

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