Vision-Based System for Assisting Blind People to Wander Unknown Environments in a Safe Way
| Autor: | Eduardo Caicedo-Bravo, Sixto E. Campaña-Bastidas, Andrés Alejandro Díaz-Toro |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Parallel processing (psychology)
Article Subject Computer science business.industry Orientation (computer vision) 0206 medical engineering Global Map 02 engineering and technology RANSAC Grid 020601 biomedical engineering Software portability Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Trajectory T1-995 020201 artificial intelligence & image processing Computer vision Artificial intelligence Electrical and Electronic Engineering business Instrumentation Technology (General) Haptic technology |
| Zdroj: | Journal of Sensors, Vol 2021 (2021) |
| ISSN: | 1687-7268 |
| Popis: | Vision is the principal source of information of the surrounding world. It facilitates our movement and development of everyday activities. In this sense, blind people have great difficulty for moving, especially in unknown environments, which reduces their autonomy and puts them at risk of suffering an accident. Electronic Travel Aids (ETAs) have emerged and provided outstanding navigation assistance for blind people. In this work, we present the methodology followed for implementing a stereo vision-based system that assists blind people to wander unknown environments in a safe way, by sensing the world, segmenting the floor in 3D, fusing local 2D grids considering the camera tracking, creating a global occupancy 2D grid, reacting to close obstacles, and generating vibration patterns with an haptic belt. For segmenting the floor in 3D, we evaluate normal vectors and orientation of the camera obtained from depth and inertial data, respectively. Next, we apply RANSAC for computing efficiently the equation of the supporting plane (floor). The local grids are fused, obtaining a global map with data of free and occupied areas along the whole trajectory. For parallel processing of dense data, we leverage the capacity of the Jetson TX2, achieving high performance, low power consumption, and portability. Finally, we present experimental results obtained with ten (10) participants, in different conditions, with obstacles of different height, hanging obstacles, and dynamic obstacles. These results show high performance and acceptance by the participants, highlighting the easiness to follow instructions and the short period of training. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text