LED location beacon system based on processing of digital images

Pang, G.K.H.; Liu, H.H.S.

doi:10.1109/6979.954547

Cited by 38 publications

(12 citation statements)

References 9 publications

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“…The report [ 26 ], which is one of the first studies on VLC based positioning, proposed the idea of using an ‘intelligent’ traffic light to transmit signals for vehicle navigation. And [ 27 , 28 ] realized this idea by demonstrating an LED location beacon system with which LED panel traffic lights transmit light patterns to the camera-based receiver on the vehicle. Upon receiving and matching the light patterns, the location codes can be obtained.…”

Section: Algorithms In Vlc Based Positioningmentioning

confidence: 99%

An in-Depth Survey of Visible Light Communication Based Positioning Systems

Yoo

2016

Sensors

278

179

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While visible light communication (VLC) has become the candidate for the wireless technology of the 21st century due to its inherent advantages, VLC based positioning also has a great chance of becoming the standard approach to positioning. Within the last few years, many studies on VLC based positioning have been published, but there are not many survey works in this field. In this paper, an in-depth survey of VLC based positioning systems is provided. More than 100 papers ranging from pioneering papers to the state-of-the-art in the field were collected and classified based on the positioning algorithms, the types of receivers, and the multiplexing techniques. In addition, current issues and research trends in VLC based positioning are discussed.

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Section: Algorithms In Vlc Based Positioningmentioning

confidence: 99%

An in-Depth Survey of Visible Light Communication Based Positioning Systems

Yoo

2016

Sensors

278

179

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“…According to this symbol coding scheme, the information transmission data rate for a given frequency F 1 is F 1 /2 bytes per second (half a byte every 1/ F 1 seconds). Since most modern smartphones and video conferencing cameras are capable of shooting video at 30 frames per second [ 26 ] ( i.e. , the sampling frequency is F s = 30 Hz ) and taking into account the sampling theorem, the maximum LED blinking frequency that can be correctly detected is F b = F s /2 = 15 Hz .…”

Section: Dynamic Ar Markermentioning

confidence: 99%

Providing IoT Services in Smart Cities through Dynamic Augmented Reality Markers

Chaves-Díeguez

Pellitero-Rivero

García-Coego

et al. 2015

Sensors

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Smart cities are expected to improve the quality of life of citizens by relying on new paradigms, such as the Internet of Things (IoT) and its capacity to manage and interconnect thousands of sensors and actuators scattered across the city. At the same time, mobile devices widely assist professional and personal everyday activities. A very good example of the potential of these devices for smart cities is their powerful support for intuitive service interfaces (such as those based on augmented reality (AR)) for non-expert users. In our work, we consider a scenario that combines IoT and AR within a smart city maintenance service to improve the accessibility of sensor and actuator devices in the field, where responsiveness is crucial. In it, depending on the location and needs of each service, data and commands will be transported by an urban communications network or consulted on the spot. Direct AR interaction with urban objects has already been described; it usually relies on 2D visual codes to deliver object identifiers (IDs) to the rendering device to identify object resources. These IDs allow information about the objects to be retrieved from a remote server. In this work, we present a novel solution that replaces static AR markers with dynamic markers based on LED communication, which can be decoded through cameras embedded in smartphones. These dynamic markers can directly deliver sensor information to the rendering device, on top of the object ID, without further network interaction.

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“…[3] and some related systems used smartphone image sensor to detect a low-frame rate of color transforming on the smartphone screen. [4] And some related system used smart image sensor for indoor positioning system [5]. Visible light communication with light signaling is a method to transmit data from light emitting.…”

Section: Introductionmentioning

confidence: 99%

Identity Checking System by Light Blinking ID-Beacon Using Image

2016

Proceedings of 2016 the 6th International Workshop on Computer Science and Engineering

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In this paper, a new method for the ID checking system was proposed by using the Visible Light Communication (VLC). The proposed method uses an image sensor of webcam camera and smartphone that can use fulfill some limitations of QRCode and RFID technology. In the experiment, ID the system can identify identity codes transmitted in 1-50 meters in daytime and night to find the processing time for the first time to detect LED Blinking. As the result, the performance of ID checking can use webcam camera to identify objects the maximum distance in daytime and night but smartphone can identify in short distance at night. Comparing a performance for application in various systems between webcam camera and smartphone image sensor.

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LED location beacon system based on processing of digital images

Cited by 38 publications

References 9 publications

An in-Depth Survey of Visible Light Communication Based Positioning Systems

An in-Depth Survey of Visible Light Communication Based Positioning Systems

Providing IoT Services in Smart Cities through Dynamic Augmented Reality Markers

Identity Checking System by Light Blinking ID-Beacon Using Image

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