IEICE TRANSACTIONS on Fundamentals
Precise Indoor Localization Method Using Dual-Facing Cameras on a Smart Device via Visible Light Communication
Summary :
In this paper, we propose a precise indoor localization method using visible light communication (VLC) with dual-facing cameras on a smart device (mobile phone, smartphone, or tablet device). This approach can assist the visually impaired with navigation, or provide mobile-robot control. The proposed method is different from conventional techniques in that dual-facing cameras are used to expand the localization area. The smart device is used as the receiver, and light-emitting diodes on the ceiling are used as localization landmarks. These are identified by VLC using a rolling shutter effect of complementary metal-oxide semiconductor image sensors. The front-facing camera captures the direct incident light of the landmarks, while the rear-facing camera captures mirror images of landmarks reflected from the floor face. We formulated the relationship between the poses (position and attitude) of the two cameras and the arrangement of landmarks using tilt detection by the smart device accelerometer. The equations can be analytically solved with a constant processing time, unlike conventional numerical methods, such as least-squares. We conducted a simulation and confirmed that the localization area was 75.6% using the dual-facing cameras, which was 3.8 times larger than that using only the front-facing camera. As a result of the experiment using two landmarks and a tablet device, the localization error in the horizontal direction was less than 98 mm at 90% of the measurement points. Moreover, the error estimation index can be used for appropriate route selection for pedestrians.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.11 pp.2295-2303
- Publication Date
- 2017/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.2295
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Vision
Authors
Yohei NAKAZAWA
Niigata University
Hideo MAKINO
Niigata University
Kentaro NISHIMORI
Niigata University
Daisuke WAKATSUKI
Tsukuba University of Technology
Makoto KOBAYASHI
Tsukuba University of Technology
Hideki KOMAGATA
Saitama Medical University
Keyword
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Yohei NAKAZAWA, Hideo MAKINO, Kentaro NISHIMORI, Daisuke WAKATSUKI, Makoto KOBAYASHI, Hideki KOMAGATA, "Precise Indoor Localization Method Using Dual-Facing Cameras on a Smart Device via Visible Light Communication" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 11, pp. 2295-2303, November 2017, doi: 10.1587/transfun.E100.A.2295.
Abstract: In this paper, we propose a precise indoor localization method using visible light communication (VLC) with dual-facing cameras on a smart device (mobile phone, smartphone, or tablet device). This approach can assist the visually impaired with navigation, or provide mobile-robot control. The proposed method is different from conventional techniques in that dual-facing cameras are used to expand the localization area. The smart device is used as the receiver, and light-emitting diodes on the ceiling are used as localization landmarks. These are identified by VLC using a rolling shutter effect of complementary metal-oxide semiconductor image sensors. The front-facing camera captures the direct incident light of the landmarks, while the rear-facing camera captures mirror images of landmarks reflected from the floor face. We formulated the relationship between the poses (position and attitude) of the two cameras and the arrangement of landmarks using tilt detection by the smart device accelerometer. The equations can be analytically solved with a constant processing time, unlike conventional numerical methods, such as least-squares. We conducted a simulation and confirmed that the localization area was 75.6% using the dual-facing cameras, which was 3.8 times larger than that using only the front-facing camera. As a result of the experiment using two landmarks and a tablet device, the localization error in the horizontal direction was less than 98 mm at 90% of the measurement points. Moreover, the error estimation index can be used for appropriate route selection for pedestrians.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2295/_p
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@ARTICLE{e100-a_11_2295,
author={Yohei NAKAZAWA, Hideo MAKINO, Kentaro NISHIMORI, Daisuke WAKATSUKI, Makoto KOBAYASHI, Hideki KOMAGATA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Precise Indoor Localization Method Using Dual-Facing Cameras on a Smart Device via Visible Light Communication},
year={2017},
volume={E100-A},
number={11},
pages={2295-2303},
abstract={In this paper, we propose a precise indoor localization method using visible light communication (VLC) with dual-facing cameras on a smart device (mobile phone, smartphone, or tablet device). This approach can assist the visually impaired with navigation, or provide mobile-robot control. The proposed method is different from conventional techniques in that dual-facing cameras are used to expand the localization area. The smart device is used as the receiver, and light-emitting diodes on the ceiling are used as localization landmarks. These are identified by VLC using a rolling shutter effect of complementary metal-oxide semiconductor image sensors. The front-facing camera captures the direct incident light of the landmarks, while the rear-facing camera captures mirror images of landmarks reflected from the floor face. We formulated the relationship between the poses (position and attitude) of the two cameras and the arrangement of landmarks using tilt detection by the smart device accelerometer. The equations can be analytically solved with a constant processing time, unlike conventional numerical methods, such as least-squares. We conducted a simulation and confirmed that the localization area was 75.6% using the dual-facing cameras, which was 3.8 times larger than that using only the front-facing camera. As a result of the experiment using two landmarks and a tablet device, the localization error in the horizontal direction was less than 98 mm at 90% of the measurement points. Moreover, the error estimation index can be used for appropriate route selection for pedestrians.},
keywords={},
doi={10.1587/transfun.E100.A.2295},
ISSN={1745-1337},
month={November},}
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TY - JOUR
TI - Precise Indoor Localization Method Using Dual-Facing Cameras on a Smart Device via Visible Light Communication
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2295
EP - 2303
AU - Yohei NAKAZAWA
AU - Hideo MAKINO
AU - Kentaro NISHIMORI
AU - Daisuke WAKATSUKI
AU - Makoto KOBAYASHI
AU - Hideki KOMAGATA
PY - 2017
DO - 10.1587/transfun.E100.A.2295
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2017
AB - In this paper, we propose a precise indoor localization method using visible light communication (VLC) with dual-facing cameras on a smart device (mobile phone, smartphone, or tablet device). This approach can assist the visually impaired with navigation, or provide mobile-robot control. The proposed method is different from conventional techniques in that dual-facing cameras are used to expand the localization area. The smart device is used as the receiver, and light-emitting diodes on the ceiling are used as localization landmarks. These are identified by VLC using a rolling shutter effect of complementary metal-oxide semiconductor image sensors. The front-facing camera captures the direct incident light of the landmarks, while the rear-facing camera captures mirror images of landmarks reflected from the floor face. We formulated the relationship between the poses (position and attitude) of the two cameras and the arrangement of landmarks using tilt detection by the smart device accelerometer. The equations can be analytically solved with a constant processing time, unlike conventional numerical methods, such as least-squares. We conducted a simulation and confirmed that the localization area was 75.6% using the dual-facing cameras, which was 3.8 times larger than that using only the front-facing camera. As a result of the experiment using two landmarks and a tablet device, the localization error in the horizontal direction was less than 98 mm at 90% of the measurement points. Moreover, the error estimation index can be used for appropriate route selection for pedestrians.
ER -
English
