Visually impaired people often face problems in mobility and can collide with many obstacles. Often they adopt a route that is more difficult or it takes longer to reach to some specific destination. During travelling from one location to another, they face static as well as dynamic obstacles. In this research a method has been developed to facilitate the blind navigation, where a soft computing technique has been applied that overcomes the problems of the blind pedestrian particularly in an indoor environment. The proposed method applies best path algorithms that can compute optimum path from given source to destination within the preset domain. The computed route avoids any static obstacles as their location is known. Dynamic obstacle handling is done by adopting and applying a Fuzzy Inference System. The Fuzzy Inference System gets the inputs from sensors, which detects the obstacle or object position and distance, and then provides alternate directions to avoid the dynamic obstacles.
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