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 | |
| Publication status | Published - 2017 May 1 |
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Keywords
- collision avoidance
- Electronic Travel Aids (ETA)
- Obstacle avoidance
- obstacle detection
- visually impaired
ASJC Scopus subject areas
- Media Technology
- Electrical and Electronic Engineering
Cite this
An enhanced obstacle avoidance method for the visually impaired using deformable grid. / Kang, Mun Cheon; Chae, Sung Ho; Sun, Jee Young; Lee, Sung Ho; Ko, Sung-Jea.
In: IEEE Transactions on Consumer Electronics, Vol. 63, No. 2, 8013256, 01.05.2017, p. 169-177.Research output: Contribution to journal › Article
}
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
PY - 2017/5/1
Y1 - 2017/5/1
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 - collision avoidance
KW - Electronic Travel Aids (ETA)
KW - Obstacle avoidance
KW - obstacle detection
KW - visually impaired
UR - http://www.scopus.com/inward/record.url?scp=85028949850&partnerID=8YFLogxK
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U2 - 10.1109/TCE.2017.014832
DO - 10.1109/TCE.2017.014832
M3 - Article
VL - 63
SP - 169
EP - 177
JO - IEEE Transactions on Consumer Electronics
JF - IEEE Transactions on Consumer Electronics
SN - 0098-3063
IS - 2
M1 - 8013256
ER -