Dept. of Civil, Environmental and Geodetic Engineering, The Ohio State University
*The organization and the title are those when awarded
The primary method for geolocalization is based on GPS which has issues of localization accuracy and unavailability.
Dr. Yilmaz introduces a new geolocalization approach to GPS-denied indoor and outdoor environments. His approach has two principal components: public domain transport network data for outdoor and indoor available in GIS (Geographic Information System) databases; and trajectory data acquired from a mobile platform. This trajectory is estimated using inertial sensors or visual odometry. He abstracts the transport map information as a graph data structure, where various types of roads are modeled as graph edges and typically intersections are modeled as graph nodes. A search for the trajectory in real time in the graph yields the geolocation of the mobile platform. The approach uses a simple visual sensor and it has a low memory and computational footprint.
Dr. Yilmaz's approach has the potential to completely augment, or even supplant, GPS based navigation since it functions ubiquitously in all environments.