Indoor Positioning System using LED Lights and a Dual Image Sensor

Moon, Myoung-geun; Choi, Sangdun; Park, Jae-Hyung; Kim, Jin Young

doi:10.3807/josk.2015.19.6.586

Cited by 26 publications

(14 citation statements)

References 11 publications

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“…Two approaches may be taken to obtain AOA values: i) image transformation and ii) modeling. Image transformation first takes photos of the light with a camera, and then makes use of the trigonometric relationship between the coordinates of the light beacons and the location of its image on the photo to calculate AOA [78]. This is simple if the camera is horizontally placed.…”

Section: Angle Of Arrivalmentioning

confidence: 99%

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A Survey of Positioning Systems Using Visible LED Lights

Zhuang

Hua

et al. 2018

IEEE Commun. Surv. Tutorials

495

297

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As Global Positioning System (GPS) cannot provide satisfying performance in indoor environments, indoor positioning technology, which utilizes indoor wireless signals instead of GPS signals, has grown rapidly in recent years. Meanwhile, visible light communication (VLC) using light devices such as light emitting diodes (LEDs) has been deemed to be a promising candidate in the heterogeneous wireless networks that may collaborate with radio frequencies (RF) wireless networks. In particular, light-fidelity has a great potential for deployment in future indoor environments because of its high throughput and security advantages. This article provides a comprehensive study of a novel positioning technology based on visible white LED lights, which has attracted much attention from both academia and industry. The essential characteristics and principles of this system are deeply discussed, and relevant positioning algorithms and designs are classified and elaborated. This article undertakes a thorough investigation into current LED-based indoor positioning systems and compares their performance through many aspects, such as test environment, accuracy, and cost. It presents indoor hybrid positioning systems among VLC and other systems (e.g., inertial sensors and RF systems). We also review and classify outdoor VLC positioning applications for the first time. Finally, this article surveys major advances as well as open issues, challenges, and future research directions in VLC positioning systems.

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Section: Angle Of Arrivalmentioning

confidence: 99%

“…Camera-based IPSs need at least azimuth angle information, usually measured by magnetometer, to locate the target. In [78,105,106], a method was proposed to perform positioning without angular measurements. Therefore, the system was free from angular errors.…”

Section: B Double-camera Localizationmentioning

confidence: 99%

A Survey of Positioning Systems Using Visible LED Lights

Zhuang

Hua

et al. 2018

IEEE Commun. Surv. Tutorials

495

297

View full text Add to dashboard Cite

show abstract

“…Each LED in a lighting fixture sends a differential three-dimensional space coordinate, and an image sensor receives the signals. The scheme uses a collinearity condition to relate the three-dimensional space coordinate data of the LEDs to the two-dimensional coordinate data of the image sensor [ 12 ]. However, the image processing is so complicated that it requires additional image processing techniques and limits the data rate.…”

Section: Introductionmentioning

confidence: 99%

Reversed Three-Dimensional Visible Light Indoor Positioning Utilizing Annular Receivers with Multi-Photodiodes

Zhao

Shi

et al. 2016

Sensors

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Exploiting the increasingly wide use of light emitting diodes (LEDs) lighting, in this paper we propose a reversed indoor positioning system (IPS) based on LED visible light communication (VLC) in order to improve indoor positioning accuracy. Unlike other VLC positioning systems, we employ two annular receivers with multi-photodiodes installed on the ceiling to locate the persons who carry LEDs. The basic idea is using multi-photodiodes to calculate the angle while using the received signal strength (RSS) method to calculate the distance. The experiment results show that the effective positioning range of the proposed system is 1.8 m when the distance between two receivers is 1.2 m. Moreover, a positioning error less than 0.2 m can be achieved under the condition that the radius of the PIN circle is between 0.16 m and 0.2 m, and the distance of the transmitter-receiver plane is less than 1.8 m, which will be effective in practice.

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“…[3][4][5][6][7] With careful tradeoff between complexity and performance, most techniques employ PD to receive signals from light sources, and commonly use the received signal strength (RSS)-based algorithms to extract the position information. [3][4][5][6][7] With careful tradeoff between complexity and performance, most techniques employ PD to receive signals from light sources, and commonly use the received signal strength (RSS)-based algorithms to extract the position information.…”

Section: Introductionmentioning

confidence: 99%

Iterative positioning algorithm to reduce the impact of diffuse reflection on an indoor visible light positioning system

et al. 2016

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Recently, indoor visible light localization has become attractive. Unfortunately, its performance is limited by diffuse reflection. The diffuse reflection is estimated by the bilinear interpolation-based method. A received signal strength-based iterative visible light positioning algorithm is proposed to reduce the influence of diffuse reflection by subtracting the estimated diffuse reflection signal from the received signal. Simulations are made to evaluate the proposed iterative positioning algorithm in a typical scenario with different parameters of the field-of-view (FOV) of the receiver and the reflectivity of the wall. Results show that the proposed algorithm can reduce the average positioning error by 12 times in a typical scenario and can reduce the positioning error greatly with various FOV of the receiver and the reflectivity of the wall. The proposed algorithm is effective and robust to reduce the degradation caused by diffuse reflection in a positioning system and will have many potential applications in indoor localization scenarios.

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Indoor Positioning System using LED Lights and a Dual Image Sensor

Cited by 26 publications

References 11 publications

A Survey of Positioning Systems Using Visible LED Lights

A Survey of Positioning Systems Using Visible LED Lights

Reversed Three-Dimensional Visible Light Indoor Positioning Utilizing Annular Receivers with Multi-Photodiodes

Iterative positioning algorithm to reduce the impact of diffuse reflection on an indoor visible light positioning system

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