Improved visible light communication positioning algorithm based on image sensor tilting at room corners

Fu, Minglei; Zhu, Wenjun; Le, Zichun; Manko, Dmytro

doi:10.1049/iet-com.2017.0640

Cited by 17 publications

(19 citation statements)

References 28 publications

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“…There are many ways to realize the proposed M-IFDR method in the actual environment. In the field of indoor positioning, some scholars have introduced localization algorithms based on VLC [21,22,23] , but these high-precision localization algorithms have not proposed how to mark LED correctly. The proposed M-IFDR method can make up for this gap.…”

Section: ) Practical Applicationmentioning

confidence: 99%

The Optical Bar Code Detection Method Based on Optical Camera Communication Using Discrete Fourier Transform

et al. 2020

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Optical camera communication (OCC) traditionally uses the bright and dark stripes of rolling shutter pattern captured by the complementary metal-oxide-semiconductor (CMOS) image-sensor to realize communication. For the reason that these stripes are distributed on plane space of the image, the conventional OCC is based on image space-domain. In this paper, different from the convention, we first introduce a Modulation and Image Frequency-Domain Recognition (M-IFDR) method of OCC. In this approach, LEDs are modulated to assign different frequency characteristics instead of transmitting data. Taking discrete Fourier transform (DFT) of the rolling shutter pattern to obtain the spectrum image, we can recognize the LED according to the characteristics of the spectrum image based on image frequency-domain. The experiment results show that the proposed M-IFDR method has good performance, with at least 426 recognizable LEDs and the recognition distance reaching 3m. Therefore, the proposed M-IFDR method can be considered as one of the effective methods of OCC.

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Section: ) Practical Applicationmentioning

confidence: 99%

The Optical Bar Code Detection Method Based on Optical Camera Communication Using Discrete Fourier Transform

et al. 2020

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“…Additionally, in the field of indoor positioning, GPS tends to show weakness. Many scholars have proposed localization algorithms based on visible light communication in recent years [24][25][26]. However, these high-precision algorithms cannot be correctly labeled LED.…”

Section: Comprehensive Analysismentioning

confidence: 99%

The Optical Barcode Detection and Recognition Method Based on Visible Light Communication Using Machine Learning

Guan

2018

Applied Sciences

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Visible light communication (VLC) has developed rapidly in recent years. VLC has the advantages of high confidentiality, low cost, etc. It could be an effective way to connect online to offline (O2O). In this paper, an RGB-LED-ID detection and recognition method based on VLC using machine learning is proposed. Different from traditional encoding and decoding VLC, we develop a new VLC system with a form of modulation and recognition. We create different features for different LEDs to make it an Optical Barcode (OBC) based on a Complementary Metal-Oxide-Semiconductor (CMOS) senor and a pulse-width modulation (PWM) method. The features are extracted using image processing and then support vector machine (SVM) and artificial neural networks (ANN) are introduced into the scheme, which are employed as a classifier. The experimental results show that the proposed method can provide a huge number of unique LED-IDs with a high LED-ID recognition rate and its performance in dark and distant conditions is significantly better than traditional Quick Response (QR) codes. This is the first time the VLC is used in the field of Internet of Things (IoT) and it is an innovative application of RGB-LED to create features. Furthermore, with the development of camera technology, the number of unique LED-IDs and the maximum identifiable distance would increase. Therefore, this scheme can be used as an effective complement to QR codes in the future.

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“…Most existing VLP methods did not take the tilting receiver into consideration, which led to great limitations. In [17,18], three LEDs were used to obtain the lens position. In [17], the author developed an indoor positioning system using a tilting image sensor and three LEDs.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Indoor Visible Light Positioning with a Tilt Receiver and a High Efficient LED-ID

Wen

et al. 2021

Electronics

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Nowadays, indoor visible light positioning (VLP) is one of the hottest technologies in the field of positioning; as a result, a number of algorithms for VLP have been proposed. However, unfortunately, few algorithms can be applied to the case that the receiver is tilted. In order to solve this problem, we developed a three-dimensional indoor VLP algorithm which can work effectively and accurately when the lens is tilted. When the lens is far away from the LED, the image of the LED is approximately regarded as an ellipse, and the distance between the two is obtained through the geometric relationship, and we finally achieve the positioning of the camera by the triangulation algorithm. The quantitative results show an average error of 6.74 cm when the tilt angle is estimated to be within 30°. At the same time, we propose an ID allocation scheme, which can effectively reduce the demand for ID.

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Improved visible light communication positioning algorithm based on image sensor tilting at room corners

Cited by 17 publications

References 28 publications

The Optical Bar Code Detection Method Based on Optical Camera Communication Using Discrete Fourier Transform

The Optical Bar Code Detection Method Based on Optical Camera Communication Using Discrete Fourier Transform

The Optical Barcode Detection and Recognition Method Based on Visible Light Communication Using Machine Learning

Three-Dimensional Indoor Visible Light Positioning with a Tilt Receiver and a High Efficient LED-ID

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