Publications
CONFERENCE (INTERNATIONAL) Improving Coverage and Accuracy in Visible Light Positioning through Ceiling Reflection Modeling
Shota Shimada, Hiroaki Murakami (The University of Tokyo), Ryo Tabata (Hokkaido University), Kota Tsubouchi, Takuya Sasatani (The University of Tokyo), Yoshihiro Kawahara (The University of Tokyo), Masanori Sugimoto (Hokkaido University)
The 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2024)
October 15, 2024
We present a visible light positioning (VLP) method that allows indoor positioning using a smartphone camera with a narrow field of view (FoV). Our method employs omni-directional LEDs, each modulated at a unique frequency, mounted on the ceiling. The system calculates the 2-D position and azimuth of the smartphone by analyzing the brightness of ceiling reflection captured by the user’s smartphone front camera. This approach does not necessitate a direct line-of-sight to the LEDs, effectively overcomes the FoV limitations, and enables positioning over a wider space. We model the ceiling reflection as a transmission path between the LEDs and the ceiling, improving coverage and accuracy of estimation for the user’s position and azimuth compared to previous work. In experiments with two LEDs placed 2.6 m apart, our method covered a space over ten times larger than traditional methods, achieving coverage of 50 m2 with a mean absolute error (MAE) in the positioning of 0.46 m and an MAE in azimuth estimation of 13.0◦.