A VLC-based beacon location system for mobile applications

Campo, Guillermo del; Perandones, Jorge M.; Hernández, Francisco J. López

doi:10.1109/icl-gnss.2013.6577276

Cited by 33 publications

(17 citation statements)

References 15 publications

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“…Localization-related applications using VLC have also been reported [16], and VLC based positioning systems have been discussed in the literature. However, most of these systems require several types of sensors to work together [17].…”

Section: Visible Light Communicationmentioning

confidence: 98%

Towards indoor localization using Visible Light Communication for consumer electronic devices

Liu

Qiu

Che

et al. 2014

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Indoor localization is the fundamental capability for indoor service robots and indoor applications on mobile devices. To realize that, the cost of sensors is of great concern. In order to decode the signal carried out by the LED beacons, we propose two reliable solutions using common sensors available on consumer electronic devices. Firstly, we introduce a dedicated analog sensor, which can be directly connected to the microphone input of a computer or a smart phone. It decodes both the signal pattern and signal strength of a beacon. Secondly, we utilize rollingshutter cameras to decode the signal pattern, providing potential solutions to the localization of hand-held devices with cameras.In contrast to existing widely-applied indoor localization approaches, like vision-based and laser-based methods, our approach reveals its advantages as low-cost, globally consistent and it retains the potential applications using Visible Light Communication(VLC). We also study the characteristics of the proposed solutions under typical indoor conditions by experiments.

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Section: Visible Light Communicationmentioning

confidence: 98%

Towards indoor localization using Visible Light Communication for consumer electronic devices

Liu

Qiu

Che

et al. 2014

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems

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“…Proximity [9] 1-2 m Low Mobile phone [16] m Medium Exp-Setup, dsPIC Board [12] 4.5 m Medium MSP 430 [17] 0.01-0.48 m Low [18] 0.3-0.6 m Medium [19] 0.4 m Medium Exp-Setup, RF, LED Fingerprinting [20] 5 cm Low Exp-Setup + E4832A [21] 10 cm Medium [22] 10 cm Low [10] 15-20 cm Medium Exp-Setup, Covered [23] 10 cm Medium [24] 85 cm Medium [25] 1-2 cm Medium [26] 20-80 cm Low [27] 1.69 cm Medium [28] 7 cm Low [29] 5 cm Medium Camera, Robot [30] 5 cm High Exp-Setup [31] 1.3 cm High Exp-Setup, mobile robot [32] 10 cm Medium [33] 10 cm Medium TDoA [34] 2-5 cm High [35] 1 cm High [36] 3.9 cm Medium [37] 0.3 cm Medium [38] 2 cm High [6] -cm AoA [11] 1-2 m Medium Exp-Setup, 5331 APD [39] 0.3 m Medium Mobile phone [40] 5-30 cm High [41] 10 cm High Tripod, protractor, PC [42] 8 cm High [43] 5 cm Medium Table 1. Cont.…”

Section: Algorithm Reference Accuracy Complexity Receiver System Exp mentioning

confidence: 99%

“…However, Ref. [12,16] this assumes that an LED beam with a definite cut-off angle is used to define overlap conditions for an increase in positioning accuracy.In practice, this is not so. Moreover, when the receiver is tilted as illustrated in Figure 1c, the optical boundaries change.…”

Section: Rss [44]mentioning

confidence: 99%

“…LED-based positioning has been extensively investigated with major techniques such as received signal strength (RSS) [8], proximity [9], fingerprinting [10], arrival techniques (which include angle of arrival (AoA) [11], time of arrival (ToA), time difference of arrival (TDoA), phase difference of arrival (PDoA), and image-based positioning [3]. The proximity technique has the simplest positioning algorithm and is the most inexpensive to implement, however the accuracy of such systems is usually low [12]. RSS, AoA, fingerprinting, and image based techniques are also popular forms of LED-based indoor positioning with a very high accuracy [13,14].…”

Section: Introductionmentioning

confidence: 99%

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Optical Boundaries for LED-Based Indoor Positioning System

et al. 2019

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Overlap of footprints of light emitting diodes (LEDs) increases the positioning accuracy of wearable LED indoor positioning systems (IPS) but such an approach assumes that the footprint boundaries are defined. In this work, we develop a mathematical model for defining the footprint boundaries of an LED in terms of a threshold angle instead of the conventional half or full angle. To show the effect of the threshold angle, we compare how overlaps and receiver tilts affect the performance of an LED-based IPS when the optical boundary is defined at the threshold angle and at the full angle. Using experimental measurements, simulations, and theoretical analysis, the effect of the defined threshold angle is estimated. The results show that the positional time when using the newly defined threshold angle is 12 times shorter than the time when the full angle is used. When the effect of tilt is considered, the threshold angle time is 22 times shorter than the full angle positioning time. Regarding accuracy, it is shown in this work that a positioning error as low as 230 mm can be obtained. Consequently, while the IPS gives a very low positioning error, a defined threshold angle reduces delays in an overlap-based LED IPS.

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“…Real-time indoor location is a challenging problem for many mobile applications nowadays, as they pretend to make use of location information to offer contextual services [1][2][3]. Moreover, due to special restrictions, indoor location requires higher precision positioning.…”

Section: Introductionmentioning

confidence: 99%

Indoor location technique based on visible light communications and ultrasound emitters

Marin-Garcia

Chavez-Burbano

Munoz-Arcentles

et al. 2015

2015 IEEE International Conference on Consumer Electronics (ICCE)

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In this paper, we explore the indoor real-time location problem, with a new approach based on combining optical and ultrasonic sensors in order to have a TDoA enough for an easy calculation. An ALOHA protocol will be also implemented so as to avoid collision problems. We are using illumination LED lamps with known positions over a room as a source of data to acquire the real position of a device. The main features of this proposal will be presented, together with the preliminary results obtained in the simulation process, as well as some issues that should be taken into consideration for a realworld experimental implementation. Finally, possible application scenarios will be also described in depth.

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A VLC-based beacon location system for mobile applications

Cited by 33 publications

References 15 publications

Towards indoor localization using Visible Light Communication for consumer electronic devices

Towards indoor localization using Visible Light Communication for consumer electronic devices

Optical Boundaries for LED-Based Indoor Positioning System

Indoor location technique based on visible light communications and ultrasound emitters

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