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RefRec plus : Six Degree-of-Freedom Estimation for Smartphone Using Floor Reflecting Light
Title: | RefRec plus : Six Degree-of-Freedom Estimation for Smartphone Using Floor Reflecting Light |
Authors: | Sugimoto, Masanori Browse this author →KAKEN DB | Shimada, Shota Browse this author | Hashizume, Hiromichi Browse this author →KAKEN DB |
Keywords: | indoor localization | visible light positioning | smartphone | 6DoF estimation | received signal strength |
Issue Date: | 16-May-2022 |
Publisher: | Frontiers Media |
Journal Title: | Frontiers in Computer Science |
Volume: | 4 |
Start Page: | 856942 |
Publisher DOI: | 10.3389/fcomp.2022.856942 |
Abstract: | This paper describes a novel visible light positioning (VLP) system called RefRec+ allowing to estimate the six degree-of-freedom (6DoF) of a smartphone. In most existing VLP systems, their front camera faces multiple light sources installed at different places on a ceiling to detect their direct signals. To overcome the problem of the limited field of views that causes failure to capture required numbers of light sources for positioning and that of the high computational complexity because of image processing to a large-sized pixel data, RefRec+ captures indirect lights from the light sources reflected via a floor. RefRec+ estimates the 2-D position of a point of interest (POI) by calculating the received signal strength of individual light sources using the floor image captured by the camera. Using 2-D positions of multiple POIs and the angle of arrival method, RefRec+ obtains the 6DoF of the smartphone. Several experiments to confirm the performance of RefRec+ were conducted. Experimental results in a room measuring 4.0 m x 4.0 m using nine POIs each of which consists of 32 x 32 pixels in a captured image showed that the absolute errors at the 90th percentile for the 3-D coordinates were 0.2073 m, 0.1713 m, and 0.002464 m along the X, Y, and Z axes, respectively, and for the pitch, roll, and yaw angles were 5.78, 5.69 and 3.96 degrees, respectively. |
Type: | article |
URI: | http://hdl.handle.net/2115/86218 |
Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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