An enhanced obstacle avoidance method for the visually impaired using deformable grid
| Autor: | Jee-Young Sun, Sung-Ho Lee, Mun-Cheon Kang, Sung-Jea Ko, Sung-Ho Chae |
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| Rok vydání: | 2017 |
| Předmět: |
Vertex (computer graphics)
Engineering business.industry 020206 networking & telecommunications 02 engineering and technology Function (mathematics) Grid Collision Displacement (vector) Obstacle avoidance 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Computer vision Artificial intelligence Electrical and Electronic Engineering business Monocular vision Collision avoidance ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | IEEE Transactions on Consumer Electronics. 63:169-177 |
| ISSN: | 0098-3063 |
| DOI: | 10.1109/tce.2017.014832 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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