Assistant Professor
Navigation of Mobility Impaired Pedestrians
Due to constraints associated with the urban form and the lack of customized assistive technologies, the mobility and independence of impaired pedestrians is limited, confining them to their home and causing them to be socially isolated. Using machine learning, the research objective is two-fold: predict missing environmental data in digital maps, and using the augmented maps to calculate optimized routes tailored for this community. The outcome will be implemented in practical customized navigation services.
