AI Guide Dog: Egocentric Path Prediction on Smartphone
This addresses the problem of accessible, real-time navigation across diverse environments for visually impaired individuals, representing a novel integration of goal-oriented and exploratory capabilities.
The paper tackles the problem of real-time navigation assistance for visually impaired users by developing AI Guide Dog (AIGD), a lightweight smartphone system that predicts directional commands from egocentric vision. It achieves this by integrating GPS for outdoor goal-based navigation and handling uncertain multi-path predictions for indoor exploratory navigation, establishing a new benchmark in blind navigation.
This paper presents AI Guide Dog (AIGD), a lightweight egocentric (first-person) navigation system for visually impaired users, designed for real-time deployment on smartphones. AIGD employs a vision-only multi-label classification approach to predict directional commands, ensuring safe navigation across diverse environments. We introduce a novel technique for goal-based outdoor navigation by integrating GPS signals and high-level directions, while also handling uncertain multi-path predictions for destination-free indoor navigation. As the first navigation assistance system to handle both goal-oriented and exploratory navigation across indoor and outdoor settings, AIGD establishes a new benchmark in blind navigation. We present methods, datasets, evaluations, and deployment insights to encourage further innovations in assistive navigation systems.