We use multi-sensory information to find our ways around environments. Among these, vision plays a crucial part in way-finding tasks, such as perceiving landmarks and layouts. People with impaired vision may find it difficult to move around in unfamiliar environments because they are unable to use their eyesight to capture critical information. Limiting vision can affect how people interact with their environment, especially for navigation. Individuals with varying degrees of vision will require a different level of way-finding aids. Blind people rely heavily on white canes, whereas low-vision patients could choose from magnifiers for amplifying signs, or even GPS mobile applications to acquire knowledge before their arrival. The purpose of this study is to investigate the in-situ challenges of way-finding for persons with visual impairments. With the methodologies of Research through Design (RTD) and User-centered Design (UCD), I conducted online user research and created a series of iterative prototypes towards a final one: Wonder Vision. It is a hybrid way-finding system that combines Augmented Reality (AR) and Voice User Interface (VUI) to assist people with visual impairments. The descriptive evaluation method suggests Wonder Vision as a possible solution for helping people with visual impairments to find their way toward their goals.