NLOS Imaging Assisted Navigation for BVI

Abstract

Assistive navigation techniques support the activities of blind or visually impaired (BVI) people and improve their life quality. However, current navigation systems cannot detect hidden objects that may run out and become obstacles. In this paper, we propose systems and methods to detect hidden objects using non-line-of-sight (NLOS) imaging. Because NLOS imaging requires a wall to reflect light, which may not be feasible in the wild, we introduce a method to select the most suitable surface as the wall. In real practice, the environment is dynamic with multiple moving objects in different speeds. We develop a method to track surface object so as to maintain a proper distance and speed for the perception system. Based on the methods of surface object selection and tracking, we design a system to detect hidden object(s). We discuss our methods in details.