An enhanced obstacle avoidance method for the visually impaired using deformable grid

Mun Cheon Kang; Sung Ho Chae; Jee Young Sun; Sung Ho Lee; Sung Jea Ko

doi:10.1109/TCE.2017.014832

An enhanced obstacle avoidance method for the visually impaired using deformable grid

Mun Cheon Kang, Sung Ho Chae, Jee Young Sun, Sung Ho Lee, Sung Jea Ko

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

34 Citations (Scopus)

Abstract

Various obstacle avoidance (OA) methods with the monocular vision have been studied to assist visually impaired people. Recently, a method that effectively locates obstacles at a risk of collision using the shape variation of a grid, called deformable grid (DG), was introduced [11]. To further improve the detection performance of the previous work, a vertex deformation function representing the displacement of each vertex in the DG is firstly defined employing the perspective projection geometry. Then, the collision risk is accurately estimated based on the shape variation of the DG that is measured using the vertex deformation function. Experimental results show that the proposed method outperforms other conventional methods as well as the previous work in terms of both the accuracy and processing time, and clearly detects obstacles that present a risk of collision in a variety of scenarios. This method is suitable for application to electronic travel aid (ETA) systems using consumer devices, such as smart-phones, tablets, and wearable devices.

Original language	English
Article number	8013256
Pages (from-to)	169-177
Number of pages	9
Journal	IEEE Transactions on Consumer Electronics
Volume	63
Issue number	2
DOIs	https://doi.org/10.1109/TCE.2017.014832
Publication status	Published - 2017 May

Bibliographical note

Funding Information:
Manuscript received March 31, 2017; accepted June 16, 2017. Date of publication July 20, 2017. This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. B0101-16-0525, Development of global multi-target tracking and event prediction techniques based on real-time large-scale video analysis). (Corresponding author: Sung-Jea Ko.) M.-C. Kang is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). S.-H. Chae is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). J.-Y. Sun is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). S.-H. Lee is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). S.-J. Ko is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TCE.2017.014832

Publisher Copyright:
© 1975-2011 IEEE.

Keywords

Electronic Travel Aids (ETA)
Obstacle avoidance
collision avoidance
obstacle detection
visually impaired

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/TCE.2017.014832

Cite this

@article{a7db75fa379e47219ad06542cc76f44a,

title = "An enhanced obstacle avoidance method for the visually impaired using deformable grid",

abstract = "Various obstacle avoidance (OA) methods with the monocular vision have been studied to assist visually impaired people. Recently, a method that effectively locates obstacles at a risk of collision using the shape variation of a grid, called deformable grid (DG), was introduced [11]. To further improve the detection performance of the previous work, a vertex deformation function representing the displacement of each vertex in the DG is firstly defined employing the perspective projection geometry. Then, the collision risk is accurately estimated based on the shape variation of the DG that is measured using the vertex deformation function. Experimental results show that the proposed method outperforms other conventional methods as well as the previous work in terms of both the accuracy and processing time, and clearly detects obstacles that present a risk of collision in a variety of scenarios. This method is suitable for application to electronic travel aid (ETA) systems using consumer devices, such as smart-phones, tablets, and wearable devices.",

keywords = "Electronic Travel Aids (ETA), Obstacle avoidance, collision avoidance, obstacle detection, visually impaired",

author = "Kang, {Mun Cheon} and Chae, {Sung Ho} and Sun, {Jee Young} and Lee, {Sung Ho} and Ko, {Sung Jea}",

note = "Funding Information: Manuscript received March 31, 2017; accepted June 16, 2017. Date of publication July 20, 2017. This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. B0101-16-0525, Development of global multi-target tracking and event prediction techniques based on real-time large-scale video analysis). (Corresponding author: Sung-Jea Ko.) M.-C. Kang is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). S.-H. Chae is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). J.-Y. Sun is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). S.-H. Lee is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). S.-J. Ko is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TCE.2017.014832 Publisher Copyright: {\textcopyright} 1975-2011 IEEE.",

year = "2017",

month = may,

doi = "10.1109/TCE.2017.014832",

language = "English",

volume = "63",

pages = "169--177",

journal = "IEEE Transactions on Consumer Electronics",

issn = "0098-3063",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

}

TY - JOUR

T1 - An enhanced obstacle avoidance method for the visually impaired using deformable grid

AU - Kang, Mun Cheon

AU - Chae, Sung Ho

AU - Sun, Jee Young

AU - Lee, Sung Ho

AU - Ko, Sung Jea

N1 - Funding Information: Manuscript received March 31, 2017; accepted June 16, 2017. Date of publication July 20, 2017. This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. B0101-16-0525, Development of global multi-target tracking and event prediction techniques based on real-time large-scale video analysis). (Corresponding author: Sung-Jea Ko.) M.-C. Kang is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). S.-H. Chae is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). J.-Y. Sun is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). S.-H. Lee is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). S.-J. Ko is with School of Electrical Engineering, Korea University, Seoul, 02841, Rep. of Korea (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TCE.2017.014832 Publisher Copyright: © 1975-2011 IEEE.

PY - 2017/5

Y1 - 2017/5

N2 - Various obstacle avoidance (OA) methods with the monocular vision have been studied to assist visually impaired people. Recently, a method that effectively locates obstacles at a risk of collision using the shape variation of a grid, called deformable grid (DG), was introduced [11]. To further improve the detection performance of the previous work, a vertex deformation function representing the displacement of each vertex in the DG is firstly defined employing the perspective projection geometry. Then, the collision risk is accurately estimated based on the shape variation of the DG that is measured using the vertex deformation function. Experimental results show that the proposed method outperforms other conventional methods as well as the previous work in terms of both the accuracy and processing time, and clearly detects obstacles that present a risk of collision in a variety of scenarios. This method is suitable for application to electronic travel aid (ETA) systems using consumer devices, such as smart-phones, tablets, and wearable devices.

AB - Various obstacle avoidance (OA) methods with the monocular vision have been studied to assist visually impaired people. Recently, a method that effectively locates obstacles at a risk of collision using the shape variation of a grid, called deformable grid (DG), was introduced [11]. To further improve the detection performance of the previous work, a vertex deformation function representing the displacement of each vertex in the DG is firstly defined employing the perspective projection geometry. Then, the collision risk is accurately estimated based on the shape variation of the DG that is measured using the vertex deformation function. Experimental results show that the proposed method outperforms other conventional methods as well as the previous work in terms of both the accuracy and processing time, and clearly detects obstacles that present a risk of collision in a variety of scenarios. This method is suitable for application to electronic travel aid (ETA) systems using consumer devices, such as smart-phones, tablets, and wearable devices.

KW - Electronic Travel Aids (ETA)

KW - Obstacle avoidance

KW - collision avoidance

KW - obstacle detection

KW - visually impaired

UR - http://www.scopus.com/inward/record.url?scp=85028949850&partnerID=8YFLogxK

U2 - 10.1109/TCE.2017.014832

DO - 10.1109/TCE.2017.014832

M3 - Article

AN - SCOPUS:85028949850

SN - 0098-3063

VL - 63

SP - 169

EP - 177

JO - IEEE Transactions on Consumer Electronics

JF - IEEE Transactions on Consumer Electronics

IS - 2

M1 - 8013256

ER -

An enhanced obstacle avoidance method for the visually impaired using deformable grid

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this