A 3-D high accuracy positioning system based on visible light communication with novel positioning algorithm

Zheng, Huanhuan; Xu, Zhaowen; Chen, Yu; Gurusamy, Mohan

doi:10.1016/j.optcom.2017.03.058

Cited by 39 publications

(24 citation statements)

References 17 publications

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“…In a small-scale setup of 20 cm by 20 cm by 15 cm, a mean positioning error 1.68 cm was achieved. A centimetre order positioning accuracy was also reported by Zheng et al in [9] when localising 36 points in a 1 m by 1.19 m by 1.29 m roll-out, also employing a (Lambertian) power RSS − d relation. Alam et al [10] also remarked the mismatch between measured and modelled RSS − d, when employing weighted K-nearest neighbour (WKNN) RSS in a 3.3 m by 2.1 m area with a 2.4 m high ceiling.…”

Section: Problem Statement and Related Worksupporting

confidence: 68%

Impact of a Photodiode’s Angular Characteristics on RSS-Based VLP Accuracy

Bastiaens

Raes²,

Stevens³

et al. 2020

IEEE Access

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Section: Problem Statement and Related Worksupporting

confidence: 68%

Impact of a Photodiode’s Angular Characteristics on RSS-Based VLP Accuracy

Bastiaens

Raes²,

Stevens³

et al. 2020

IEEE Access

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“…Fingerprint based positioning technology requires multiple wireless access points (APs) to improve its localization accuracy. To overcome the requirement for multiple wireless APs, authors in [15] proposed an indoor localization system that uses a single Wi-Fi AP to locate terminals by utilizing channel state information (CSI) to compute the direct path length between a single AP and terminals.…”

Section: ) Indoor Localizationmentioning

confidence: 99%

IoT Driven Ambient Intelligence Architecture for Indoor Intelligent Mobility

Silva

Roche

Shi

et al. 2018

2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing,

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Personal robots are set to assist humans in their daily tasks. Assisted living is one of the major applications of personal assistive robots, where the robots will support health and wellbeing of the humans in need, especially elderly and disabled. Indoor environments are extremely challenging from a robot perception and navigation point of view, because of the ever-changing decorations, internal organizations and clutter. Furthermore, human-robot-interaction in personal assistive robots demands intuitive and human-like intelligence and interactions. Above challenges are aggravated by stringent and often tacit requirements surrounding personal privacy that may be invaded by continuous monitoring through sensors. Towards addressing the above problems, in this paper we present an architecture for "Ambient Intelligence" for indoor intelligent mobility by leveraging IoTs within a framework of Scalable Multi-layered Context Mapping Framework. Our objective is to utilize sensors in home settings in the least invasive manner for the robot to learn about its dynamic surroundings and interact in a human-like manner. The paper takes a semi-survey approach to presenting and illustrating preliminary results from our in-house built fully autonomous electric quadbike.

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“…To find the k reference points that have the greatest effect on the target device, the "determine k-NN" algorithm is proposed, as shown in Figure 7. The Euclidean distance values of the top four data are calculated using Equation (8).…”

Section: Determine K-nn Algorithmmentioning

confidence: 99%

“…Therefore, RF‐based methods are difficult to use for store navigation or the advertising of goods –. Visible light communication (VLC) IPSs (VLCIPSs) are better than RF‐based IPSs as they provide three‐dimensional (3D) positioning; they do not require that the measuring receiver remains in a fixed horizontal plane –…”

Section: Introductionmentioning

confidence: 99%

“…[3][4][5] Visible light communication (VLC) IPSs (VLCIPSs) are better than RF-based IPSs as they provide three-dimensional (3D) positioning; they do not require that the measuring receiver remains in a fixed horizontal plane. [6][7][8] Many VLCIPSs use photodiodes as receivers of signals from light-emitting diodes (LEDs) and calculate positioning coordinates from the strengths of these signals. [9][10][11][12][13][14][15][16][17] Unfortunately, photodiodes are not frequently used and consumers cannot be required to use a photodiodes of receiver to configure store navigation devices.…”

Section: Introductionmentioning

confidence: 99%

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A high accuracy and efficiency indoor positioning system with visible light communication

Chen

2018

Trans Emerging Tel Tech

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Positioning technology is important to the development of location‐based services. This work proposes a highly accurate and efficient indoor positioning system that uses visible light communication technology. The system uses a fingerprinting positioning mechanism that is based on a mobile device. A dynamic k‐NN (DKNN) mechanism is developed to improve upon k‐nearest neighbor (k‐NN) positioning, which is based on fingerprinting. This work also proposes an integrated angle of arrival (AOA) and fingerprinting mechanism for three‐dimensional positioning, which reduces the time that would otherwise be required for fingerprinting training and improves the accuracy of the indoor positioning system. When used for fixed‐height two‐dimensional positioning, the mean error distance of the DKNN fingerprinting positioning mechanism is approximately 0.15 cm. The AOA mean error distance is approximately 11.43 cm. The traditional k‐NN mean error distance is approximately 1.47 cm. Ignoring the height error, the integrated AOA and fingerprinting positioning mechanisms have a mean error distance of approximately 2.43 cm; the traditional AOA mean error distance is approximately 11.10 cm, and the fingerprinting mean error distance is approximately 2.74 cm. When the height error is considered, the AOA and fingerprinting fusion positioning mechanisms have a mean error distance of approximately 2.83 cm; the AOA mean error distance is approximately 11.62 cm, and the fingerprinting mean error distance is approximately 4.15 cm. The experimental results therefore show that the proposed mechanism provides the highest positioning accuracy.

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A 3-D high accuracy positioning system based on visible light communication with novel positioning algorithm

Cited by 39 publications

References 17 publications

Impact of a Photodiode’s Angular Characteristics on RSS-Based VLP Accuracy

Impact of a Photodiode’s Angular Characteristics on RSS-Based VLP Accuracy

IoT Driven Ambient Intelligence Architecture for Indoor Intelligent Mobility

A high accuracy and efficiency indoor positioning system with visible light communication

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