Real Time Curb Detection Using Video
Category: Research Poster
Author(s): Ilijah Pearson, Maximilius Treusein, James Chinnery, Andrew Davenport
Presenter(s): Ilijah Pearson
Mentors(s): Nathaniel Blanchard
Curbs are an everyday spatial obstacle and a key factor in determining accessibility; whether it is for the visually impaired, users of mobility devices, or robots. This is why we will build a real-time curb detection system for outdoor video that is reliable enough to provide an early warning when a curb is in frame. This system would help with the navigation of outdoor environments. A system like this would also be useful to automate accessibility audits and allow city planners to see where the biggest accessibility gaps are for their area