Paper Info
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.
Year
DOI
Venue
2017
10.1109/TCE.2017.014832
IEEE Trans. Consumer Electronics
Keywords
Field
DocType
Shape,Cameras,Collision avoidance,Geometry,Shape measurement,Electrical engineering,Estimation
Obstacle avoidance,Monocular vision,Computer vision,Collision risk,Vertex (geometry),Computer science,Perspective (graphical),Collision,Artificial intelligence,Wearable technology,Grid
Journal
Volume
Issue
ISSN
63
2
0098-3063
Citations 
PageRank 
References 
3
0.45
19
Authors
5
Name
Order
Citations
PageRank
muncheon kang1266.79
sungho chae2143.75
jeeyoung sun3163.45
Sungho Lee4278.09
Sung-Jea Ko51051114.34