OUTDOOR/INDOOR VISION-BASED LOCALIZATION FOR BLIND PEDESTRIAN NAVIGATION ASSISTANCE
The most challenging issue facing the navigation assistive systems for the visually impaired is the instantaneous and accurate spatial localization of the user. Most of the previously proposed systems are based on global positioning system (GPS) sensors. However, the accuracy of low-cost versions is insufficient for pedestrian use. Furthermore, GPS-based systems are confined to outdoor navigation and experience severe signal losts in urban areas. This paper presents a new approach for localizing a person by using a single-body-mounted camera and computer vision techniques. Instantaneous accurate localization and heading estimates of the person are computed from images as the user progresses along a memorized path. A portable prototype has been tested for outdoor as well as indoor pedestrian use. Experimental results demonstrate the effectiveness of the vision-based localization: the accuracy is sufficient for making it possible to guide and maintain the blind person within a navigation corridor less than 1 m wide along the intended path. In combination with a suitable guiding interface, such a localization system will be convenient to assist the visually impaired in their everyday movements outdoors as well as indoors.