TY - JOUR
T1 - A High-Precision Indoor Positioning Scheme Based on Feature Code and Lighting Device
AU - Yang, Jinghong
AU - Feng, Lihui
AU - He, Pinjing
AU - Chen, Wei
AU - Yang, Aiying
AU - Lu, Jihua
N1 - Publisher Copyright:
© 2007-2012 IEEE.
PY - 2022/12/1
Y1 - 2022/12/1
N2 - Visible light positioning is one of the schemes based on driving modulation to achieve high accuracy of indoor positioning. However, it has shortcomings in system deployment, maintenance, and scalability, which limits its wide application. We propose a high-precision positioning scheme based on high-transparency feature code and lighting devices. First, a feature-code mask is exploited to replace the driving modulation, which aims to reduce the complexity, improve the scalability, and realize high-precision and real-time positioning. Then, a two-dimensional (2-D) feature code is designed to detect the characteristics, which greatly increases the number of LED IDs and decreases the system complexity. Third, the Levenberg-Marquardt iterative algorithm with the constructed perspective-n-point model is applied to obtain the position of the camera. Experimental results show that the proposed scheme can obtain high-precision and real-time positioning. When the measuring height is 1.6 m, the average root-mean-square error (rmse) is 0.044 m. Moreover, when the height is 1.8 m and 2.0 m, the average RMSEs are 0.054 m and 0.064 m, respectively.
AB - Visible light positioning is one of the schemes based on driving modulation to achieve high accuracy of indoor positioning. However, it has shortcomings in system deployment, maintenance, and scalability, which limits its wide application. We propose a high-precision positioning scheme based on high-transparency feature code and lighting devices. First, a feature-code mask is exploited to replace the driving modulation, which aims to reduce the complexity, improve the scalability, and realize high-precision and real-time positioning. Then, a two-dimensional (2-D) feature code is designed to detect the characteristics, which greatly increases the number of LED IDs and decreases the system complexity. Third, the Levenberg-Marquardt iterative algorithm with the constructed perspective-n-point model is applied to obtain the position of the camera. Experimental results show that the proposed scheme can obtain high-precision and real-time positioning. When the measuring height is 1.6 m, the average root-mean-square error (rmse) is 0.044 m. Moreover, when the height is 1.8 m and 2.0 m, the average RMSEs are 0.054 m and 0.064 m, respectively.
KW - Driving modulation
KW - Levenberg-Marquardt (LM)
KW - feature code
KW - perspective-n-point (PnP)
KW - visible light positioning
UR - http://www.scopus.com/inward/record.url?scp=85132766483&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2022.3176678
DO - 10.1109/JSYST.2022.3176678
M3 - Article
AN - SCOPUS:85132766483
SN - 1932-8184
VL - 16
SP - 6717
EP - 6726
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 4
ER -