Development of Ontology-Based Indoor Navigation Algorithm for Indoor Obstacle Identification for the Visually Impaired

Visually-impaired people face significant difficulties when navigating an indoor environment. The corridors may contain obstacles, so people who are visually impaired need to be aware of these in order to avoid accidents. However, there is a lack of indoor navigation tools and technology to assist those who are visually impaired. In this study, an ontology-based indoor navigation algorithm is introduced for the detection of indoor obstacles. It has been adapted to meet the requirements of people with visual impairment, achieving trajectory prediction while supporting accurate route planning and alerting the visually-impaired user to the presence of obstacles.