One of the challenges for walking support systems for the visually impaired people is to design appropriate routes without colliding with static (cars, bicycles, etc.) and dynamic (people) obstacles. Previous studies in path design have used first-person camera images and Transformer-based neural networks to generate appropriate paths for an autonomous mobile robot considering the dynamic environment. In this paper, we experiment and evaluate the applicability of this method in the outdoor walking assistant system.
