A 2-D indoor localization system based on visible light LED

Zhang, W.; Kavehrad, M.

doi:10.1109/phosst.2012.6280711

Cited by 75 publications

(54 citation statements)

References 2 publications

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“…The Receiver is assumed to be located at (2.5, 1.5). In [8], their positioning algorithm is simulated at an average SNR of 30 dB. We simulate our scheme for SNRs between 10 dB and 40 dB.…”

Section: Simulation Results For 2-dmentioning

confidence: 99%

“…VLC uses light emitting diodes as transmitters and photodiodes (PDs) as receivers. Indoor positioning based on the received signal strength (RSS) of visible light has been previously considered [8,9]. By assuming that the height of the receiver from the ground is known, a resolution up to a few centimeters has been reported in [8].…”

Section: Introductionmentioning

confidence: 99%

“…Note that the same assumption is also used in [9]. Another assumption commonly made in the literature is that the transmitter and receiver axes are both aligned and normal to the ceiling [8,9]. These assumptions are unrealistic and cannot be guaranteed in practice.…”

Section: Introductionmentioning

confidence: 99%

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Indoor localization using visible light and accelerometer

Yasir

Vellambi

2013

2013 IEEE Global Communications Conference (GLOBECOM)

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Indoor positioning has attracted a lot of attention in the literature. Positioning systems using the existing wireless network have low deployment cost but the position error can be up to several meters. Some proposed systems have low position error; however, they require extra hardware, thereby resulting in high deployment costs. In this work, we propose a positioning system that offers low position error at a low deployment cost. The proposed system uses visible light communications (VLC) together with the accelerometers in mobile devices. In contrast to existing works on VLC for positioning, our system neither requires the knowledge of the height of the receiver from the ground, nor does it require the receiver to be oriented such that the angle of irradiance of a transmitter equals the incidence angle at the receiver. The proposed system has low complexity, and simulation results show that it achieves position errors of less than 0.5 meter.

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“…The Receiver is assumed to be located at (2.5, 1.5). In [8], their positioning algorithm is simulated at an average SNR of 30 dB. We simulate our scheme for SNRs between 10 dB and 40 dB.…”

Section: Simulation Results For 2-dmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Indoor localization using visible light and accelerometer

Yasir

Vellambi

2013

2013 IEEE Global Communications Conference (GLOBECOM)

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“…기술에 대한 연구 [3][4][5][6][7][8] 가 활발히 진행되고 있다. 실내 환경에서 천장에 위치한 LED 의 위치에 따른 localization 성능에 대한 연구가 진행되었고 [3,4] , TDOA (time difference of arrival)을 이용한 측위 기 법도 연구되었다 [5,6] .…”

Section: 현재까지 가시광 무선 통신을 이용한 다양한 측위unclassified

“…실내 환경에서 천장에 위치한 LED 의 위치에 따른 localization 성능에 대한 연구가 진행되었고 [3,4] , TDOA (time difference of arrival)을 이용한 측위 기 법도 연구되었다 [5,6] . 가시광 네트워크와 Zigbee 네트 워크 망을 이용한 hybrid localization 기법 [7] 과 카메라 를 이용해 정밀 측위를 수행한 기법 [8] [9] .…”

Section: 현재까지 가시광 무선 통신을 이용한 다양한 측위unclassified

VLC Based Positioning Scheme in Vehicle-to-Infra(V2I) Environment

Kim¹,

Song

Lee³

et al. 2015

The Journal of Korean Institute of Communications and Informati

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Although GPS technology for location positioning system has been widely used, it is difficult to be used in intelligent transport systems, due to the large positioning error and limited area for receiving radio signals.Thanks to the rapid development of LED technology, LED lights become popular in many applications.Especially, visible light communications (VLC) has raised a lot of interests because of the simultaneous functioning of LED illumination and communication. Recent studies on positioning system using VLC mainly focused on indoor environments and still difficult to satisfy positioning accuracy and simple implementation simultaneously. In this paper, we propose a positioning system based on VLC using the coordinate information of LEDs installed on the road infrastructure. Extracting the LED signal, obtained through VLC, from the easily accessible camera image, it is possible to estimate the position of the car on the road. Simulation results show that the proposed scheme can achieve a high positioning accuracy of 1 m when large number of pixels is utilized and the distance from the LED light is close.

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