Obstacle Detection Algorithm by Stereoscopic Image Processing
| Autor: | Mohammed Mikou, Adil Elachhab |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
education.field_of_study
business.product_category Computer science Population Visual impairment 020206 networking & telecommunications Image processing Stereoscopy 02 engineering and technology Image segmentation law.invention Stereopsis law Obstacle 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing medicine.symptom business education Algorithm Headphones |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319763569 |
| Popis: | The continued growth in the number of blind or visually impaired people calls for an urgent need to invest all efforts to improve the quality of life for this population. This paper presents a work forming part of the technical study of new aid to the autonomous and secure movement for blind and partially sighted persons. These are intelligent glasses that capture environmental information, via a pair of stereoscopic cameras. In the case where an obstacle is present in the path of visual impairment, it will be detected by the stereoscopic sensor and an obstacle avoidance algorithm incorporated in a laptop computer. The final result, which provides key data to describe its environment, is transmitted to the user via headphones. Under this goal, we have developed a specialized processing algorithm that uses a stereoscopic vision approach and consists to determine the distance to obstacles and their size from two views of the same scene. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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