Audio Guide for Visually Impaired People Based on Combination of Stereo Vision and Musical Tones
| Autor: | Yuri Motta Lopes Rodrigues Silva, Walter C. S. S. Simoes, Nasser Jazdi, Vicente Ferreira de Lucena, José Luiz de Souza Pio |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
0209 industrial biotechnology
Computer science 02 engineering and technology lcsh:Chemical technology Biochemistry Article Analytical Chemistry 020901 industrial engineering & automation Dead reckoning 0202 electrical engineering electronic engineering information engineering Computer vision lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation particle filter data fusion business.industry indoor positioning 020206 networking & telecommunications Musical tone Kalman filter Sensor fusion Atomic and Molecular Physics and Optics Stereopsis Obstacle landmarks kalman filter Artificial intelligence Particle filter business |
| Zdroj: | Sensors, Vol 20, Iss 1, p 151 (2019) Sensors (Basel, Switzerland) Sensors Volume 20 Issue 1 |
| DOI: | 10.37247/pasen.2.2021.16 |
| Popis: | Indoor navigation systems offer many application possibilities for people who need information about the scenery and the possible fixed and mobile obstacles placed along the paths. In these systems, the main factors considered for their construction and evaluation are the level of accuracy and the delivery time of the information. However, it is necessary to notice obstacles placed above the user&rsquo s waistline to avoid accidents and collisions. In this paper, different methodologies are associated to define a hybrid navigation model called iterative pedestrian dead reckoning (i-PDR). i-PDR combines the PDR algorithm with a Kalman linear filter to correct the location, reducing the system&rsquo s margin of error iteratively. Obstacle perception was addressed through the use of stereo vision combined with a musical sounding scheme and spoken instructions that covered an angle of 120 degrees in front of the user. The results obtained in the margin of error and the maximum processing time are 0.70 m and 0.09 s, respectively, with obstacles at ground level and suspended with an accuracy equivalent to 90%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|